Well logging simulation device and error determination method using same

Abstract

The invention provides logging simulation equipment and an error determination method adopting the logging simulation equipment, and the equipment comprises a packaging housing which is used for fixing a standard rock block, and the standard rock block is a rock block with known lithology and rock mass density; the base is connected with the packaging shell, and the base is used for keeping the packaging shell horizontally placed; the hydraulic cylinder is connected with the side wall of the packaging shell, and the hydraulic cylinder is used for adjusting the gap between the logging instrument and the standard rock block; the hydraulic pump is connected with the hydraulic cylinder and is used for driving the hydraulic cylinder; and the circulating pump is connected with the slurry pipeline, the slurry pipeline goes deep into the drill hole of the standard rock block, and the circulating pump is used for enabling the slurry to be in a circulating state to avoid sedimentation. The method solves the problem that in the prior art, when calibration is conducted through a scale well, only fresh water can be injected for testing, and the influence of mud and the well diameter on the measurement result cannot be corrected.

Description

Technical Field

[0001] The present invention relates to the technical field of error verification, and in particular, to a logging simulation device, an error determination method using the logging simulation device, an error determination device, a computer-readable storage medium, and a logging error correction system. Background Technique

[0002] Litho-density logging is a common radioactive logging method. During the litho-density logging process, due to factors such as wellbore conditions, the weight and geometry of downhole instruments, the contact situation between downhole instruments and the wellbore wall, cable performance, logging speed, operation methods, drilling fluid, and barite, the measured formation density value and lithology value may differ from the actual formation, affecting the logging quality. In particular, most litho-density logging tools use a pusher or an eccentric bow to measure against the wellbore wall. The wellbore size, mud specific gravity, and barite-containing mud have a great impact on the measurement of formation density value and lithology value, and corrections for non-formation factors such as well diameter and mud density must be carried out.

[0003] Currently, there are response differences between domestic litho-density logging instruments and litho-density instruments such as 5700 in the measurement values in complex wellbore environments. It is necessary to carry out relevant tests through a combination of numerical, physical, and simulation methods, study the correction methods for litho-density data in complex wellbore environments, analyze the influencing factors, and calibrate the correction chart to improve the measurement accuracy, measurement range, reliability, and adaptability of the instrument. By establishing a numerical simulation and physical platform, strengthening the research and simulation of multi-physical field methods, and carrying out the construction of a physical simulation device to assist in establishing and improving the environmental correction and interpretation chart, the reliability of logging data can be ensured. In terms of the physical simulation platform, there are currently a standard wellbore calibration well for litho-density logging and calibration wells with wellbore diameters of 250 mm and 150 mm under fresh water conditions, lacking calibration constraints for the correction and interpretation charts under various well diameters and mud densities fitted by the numerical simulation platform. Summary of the Invention

[0004] The main purpose of the present application is to provide a logging simulation device, an error determination method using the logging simulation device, an error determination device, a computer-readable storage medium, and a logging error correction system, so as to at least solve the problem in the prior art that when correcting through a calibration well, only fresh water can be injected for testing, and the influence of mud and well diameter on the measurement results cannot be corrected.

[0005] To achieve the above object, according to one aspect of the present application, a logging simulation device is provided, including: an encapsulation housing for fixing a standard rock block, where the standard rock block is a rock block with known lithology and rock mass density; a base connected to the encapsulation housing, and the base is used to keep the encapsulation housing placed horizontally; a hydraulic cylinder connected to the side wall of the encapsulation housing, and the hydraulic cylinder is used to adjust the gap between the logging instrument and the standard rock block; a hydraulic pump connected to the hydraulic cylinder, and the hydraulic pump is used to drive the hydraulic cylinder; a circulation pump connected to a mud pipeline, and the mud pipeline extends into a borehole of the standard rock block, and the circulation pump is used to keep the mud in a circulating state to avoid sedimentation.

[0006] According to another aspect of the present application, an error determination method using a logging simulation device is provided, characterized in that the method includes: placing a logging instrument into a wellbore of a standard rock block in an encapsulation housing of the logging simulation device, and placing a mud cake between the logging instrument and the wellbore wall of the wellbore, controlling the hydraulic pump of the logging simulation device to drive the hydraulic cylinder of the logging simulation device to make the measurement surface of the logging instrument, the mud cake and the wellbore wall fit, and the wellbore is used to simulate the wellbore in the logging process; a first acquisition step of acquiring a target mud density and configuring the mud according to the target mud density, where the target mud density is any one of the preset mud densities; a measurement step of pouring the mud from the upper opening of the wellbore until the height deviation between the liquid level of the mud and the height of the opening of the wellbore is a first threshold, turning on the circulation pump of the logging simulation device and controlling the logging instrument to record energy spectral lines to obtain a first measurement spectral line and a second measurement spectral line, where the first measurement spectral line is the energy spectral line monitored by a detector in the logging instrument with a distance from the radiation source greater than a first distance, and the second measurement spectral line is the energy spectral line monitored by the detector in the logging instrument with a distance from the radiation source less than or equal to the first distance; a cleaning step of ending the measurement and cleaning the logging simulation device when the opening duration of the circulation pump of the logging simulation device reaches a second threshold; repeating the first acquisition step, the measurement step and the cleaning step at least once in sequence until the first measurement spectral line and the second measurement spectral line corresponding to all the preset mud densities are obtained; calculating the lithology and density according to each measurement spectral line group to obtain a plurality of target lithologies and target rock mass densities, calculating the difference between each target lithology and the preset lithology to obtain a plurality of lithology errors, and calculating the difference between each target rock mass density and the preset rock mass density to obtain a plurality of rock mass density errors, where the measurement spectral line group includes one first measurement spectral line and a corresponding second measurement spectral line, the preset lithology is the lithology of the standard rock block, and the preset rock mass density is the rock mass density of the standard rock block.

[0007] Optionally, before placing the logging instrument into the wellbore of the standard rock block, the method further includes: obtaining a plurality of preset well diameters, drilling the wellbores on the corresponding standard rock blocks respectively according to each of the preset well diameters, the diameter of the wellbore being the preset well diameter, and the preset well diameters corresponding to the standard rock blocks one by one; placing the standard rock blocks into the encapsulation housing of the logging simulation device in ascending order of the preset well diameters, and drilling holes in the first preset position and the second preset position of the encapsulation housing to communicate the hydraulic cylinder and the mud pipeline with the wellbore.

[0008] Optionally, calculating the lithology and density according to each measurement spectral line group to obtain a plurality of target lithologies and target rock mass densities includes: a second obtaining step of obtaining a target measurement spectral line group, preprocessing the first measurement spectral line in the target measurement spectral line group to obtain a corresponding first alternative curve and preprocessing the second measurement spectral line in the target measurement spectral line group to obtain a corresponding second alternative curve, the preprocessing including filtering, derivation, and truncation, and the target measurement spectral line group being any one of the measurement spectral line groups; a first determination step of determining a first data point and a second data point according to the first alternative curve and determining a first target range according to the first data point and a first preset step length, determining a second target range according to the second data point and a second preset step length, determining a third data point according to the second alternative curve, and determining a third target range according to the third data point and a third preset step length, the first data point being the point corresponding to the maximum value in the first alternative curve, the second data point being the point corresponding to the minimum value in the first alternative curve, and the third data point being the point corresponding to the maximum value in the second alternative curve; a second determination step of intercepting the first measurement spectral line according to the first target range and the second target range to obtain a first target curve and a second target curve, and intercepting the second measurement spectral line according to each of the third target ranges to obtain a third target curve; a calculation step of inputting the first target curve and the third target curve into a rock mass density model to obtain the target rock mass density, inputting the second target curve into a lithology model to obtain the target lithology, the rock mass density model being used to calculate the rock mass density according to the energy spectral line, and the lithology model being used to calculate the lithology according to the energy spectral line; repeating the second obtaining step, the first determination step, the second determination step, and the calculation step at least once in sequence until the target lithologies and the target rock mass densities corresponding to all the measurement spectral line groups are obtained.

[0009] Optionally, preprocessing the first measurement spectral line in the target measurement spectral line group to obtain a corresponding first alternative curve and preprocessing the second measurement spectral line in the target measurement spectral line group to obtain a corresponding second alternative curve, including: filtering the first measurement spectral line and the second measurement spectral line to obtain corresponding first and second smoothed curves, where the filtering is used to convert the irregular energy spectral line into a smoothed curve; taking the derivative of the first smoothed curve and the second smoothed curve respectively to obtain a first derivative curve and a second derivative curve; intercepting the first derivative curve according to a first preset interval to obtain the first alternative curve and intercepting the second derivative curve according to a second preset interval to obtain the second alternative curve.

[0010] Optionally, determining a first target range according to the first data point and a first preset step length, including: determining a first target value according to the ordinate corresponding to the first data point, calculating the product of the target value and a first preset coefficient to obtain a second target value; determining a target point according to the second target value, and determining the first preset step length according to the target point, where the target point is the point on the first alternative curve with the ordinate being the second target value, and the first preset step length is the difference in abscissa between the first data point and the target point; taking the first preset step length in the positive and negative directions of the horizontal axis respectively with the abscissa corresponding to the first data point as the center point to obtain a third target value and a fourth target value, and determining the first target range according to the third target value and the fourth target value.

[0011] Optionally, after calculating multiple target lithologies and target rock mass densities according to each measurement spectral line group, calculating multiple lithology errors by calculating the difference between each target lithology and a preset lithology, and calculating multiple rock mass density errors by calculating the difference between each target rock mass density and a preset rock mass density, the method further includes: obtaining a measured rock mass density, a measured lithology, a measured mud density, and a measured well diameter, where the measured rock mass density is the rock mass density measured during the actual logging process of the logging instrument, the measured lithology is the lithology measured during the actual logging process of the logging instrument, the measured mud density is the mud density in the wellbore during the logging process, and the measured well diameter is the diameter of the wellbore during the logging process; determining a target rock mass density and a target lithology error according to the measured mud density and the measured well diameter, where the target lithology error is the rock mass density error and the lithology error corresponding to the mud density being the measured mud density and the well diameter being the measured well diameter.

[0012] According to another aspect of the present application, there is provided an error determination device using a well logging simulation device, the device comprising: a first placement unit for placing a well logging instrument into a wellbore of a standard rock block in a sealed housing of the well logging simulation device, and placing a mud cake between the well logging instrument and the wellbore wall, controlling a hydraulic pump of the well logging simulation device to drive a hydraulic cylinder of the well logging simulation device to make the measurement surface of the well logging instrument, the mud cake and the wellbore wall fit, the wellbore being used to simulate the wellbore during the well logging process; a first acquisition unit for performing a first acquisition step of acquiring a target mud density and configuring the mud according to the target mud density, the target mud density being any one of the preset mud densities; a measurement unit for performing a measurement step of pouring the mud from the upper opening of the wellbore until the height deviation between the liquid level of the mud and the height of the opening of the wellbore is a first threshold, turning on a circulation pump of the well logging simulation device and controlling the well logging instrument to record energy spectral lines to obtain a first measurement spectral line and a second measurement spectral line, the first measurement spectral line being the energy spectral line monitored by a detector in the well logging instrument with a distance greater than a first distance from the radiation source, and the second measurement spectral line being the energy spectral line monitored by a detector in the well logging instrument with a distance less than or equal to the first distance from the radiation source; a cleaning unit for performing a cleaning step of ending the measurement and cleaning the well logging simulation device when the running time of the circulation pump of the well logging simulation device reaches a second threshold; a repeating unit for sequentially repeating the first acquisition step, the measurement step and the cleaning step at least once until the first measurement spectral line and the second measurement spectral line corresponding to all the preset mud densities are obtained; a first calculation unit for calculating the lithology and density based on each measurement spectral line group to obtain a plurality of target lithologies and target rock mass densities, calculating the difference between each target lithology and the preset lithology to obtain a plurality of lithology errors, and calculating the difference between each target rock mass density and the preset rock mass density to obtain a plurality of rock mass density errors, the measurement spectral line group including one first measurement spectral line and a corresponding second measurement spectral line, the preset lithology being the lithology of the standard rock block, and the preset rock mass density being the rock mass density of the standard rock block.

[0013] According to still another aspect of the present application, there is provided a computer-readable storage medium, the computer-readable storage medium including a stored program, wherein when the program runs, it controls the device where the computer-readable storage medium is located to execute any one of the methods.

[0014] According to yet another aspect of the present application, there is provided a well logging error correction system, comprising: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, and the one or more programs include those for executing any one of the methods.

[0015] Applying the technical solution of the present application, the above logging simulation device includes an encapsulation housing for fixing a standard rock block, where the standard rock block is a rock block with known lithology and rock mass density; a base connected to the encapsulation housing, and the base is used to keep the encapsulation housing horizontally placed; a hydraulic cylinder connected to the side wall of the encapsulation housing, and the hydraulic cylinder is used to adjust the gap between the logging instrument and the standard rock block; a hydraulic pump connected to the hydraulic cylinder, and the hydraulic pump is used to drive the hydraulic cylinder; a circulation pump connected to a mud pipeline, and the mud pipeline penetrates into a borehole of the standard rock block, and the circulation pump is used to keep the mud in a circulating state to avoid sedimentation. The logging calibration device of the present application sets a standard rock block that can be replaced for calibration under different wellbore diameters, sets a hydraulic cylinder to simulate the pressure of the mud on the logging instrument in the actual measurement environment, and sets a circulation pump to ensure that the mud does not settle to simulate the mud in the borehole of the actual measurement environment, solving the problem in the prior art that calibration is carried out through a calibration well and only fresh water can be injected for testing, and the influence of mud and well diameter on the measurement result cannot be calibrated. Description of the Drawings

[0016] Figure 1 The hardware structure block diagram of a mobile terminal showing a method for determining errors using a logging simulation device according to an embodiment of the present application is shown;

[0017] Figure 2 The structural diagram of a logging simulation device according to an embodiment of the present application is shown;

[0018] Figure 3 The flowchart showing a method for determining errors using a logging simulation device according to an embodiment of the present application is shown;

[0019] Figure 4 The schematic diagram showing the energy window interception according to an embodiment of the present application is shown;

[0020] Figure 5 The structural block diagram of a device for determining errors using a logging simulation device according to an embodiment of the present application is shown.

[0021] Among them, the above drawings include the following reference numerals:

[0022] 102. Processor; 104. Memory; 106. Transmission device; 108. Input / output device; 1. Hydraulic cylinder; 2. Mud pipeline; 3. Circulation pump; 4. Hydraulic hose; 5. Hydraulic pump; 6. Wellbore; 7. Standard rock block; 8. Mouse hole; 9. Encapsulation housing; 10. Base. Detailed Description of the Embodiment

[0023] It should be noted that, without conflict, the embodiments in the present application and the features in the embodiments may be combined with each other. The following will describe the present application in detail with reference to the accompanying drawings and in combination with the embodiments.

[0024] In order to enable those skilled in the art to better understand the solution of the present application, the following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0025] It should be noted that the terms "first", "second", etc. in the specification, claims and the above-mentioned drawings of the present application are used to distinguish similar objects, and do not necessarily need to be used to describe a specific order or sequence. It should be understood that such used data can be interchanged under appropriate circumstances, so as to implement the embodiments of the present application described herein. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0026] As introduced in the background art, in the prior art, a calibration well is used for calibration during the error correction process. It is difficult to simulate the errors under different mud densities and to use a pusher and an eccentric bow to make the measuring device close to the wellbore wall, and it is difficult to detect the gaps and correct the corresponding errors. To solve the problem that in the prior art, when calibrating through a calibration well, only fresh water can be injected for testing and the influence of mud and well diameter on the measurement result cannot be corrected, the embodiments of the present application provide a logging simulation device, an error determination method using the logging simulation device, an error determination device, a computer-readable storage medium, and a logging error correction system.

[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention.

[0028] The method embodiments provided in the embodiments of the present application can be executed on a mobile terminal, a computer terminal, or a similar computing device. Taking running on a mobile terminal as an example, Figure 1 is a hardware structure block diagram of a mobile terminal of an error determination method using a logging simulation device according to an embodiment of the present invention. As Figure 1 shown, the mobile terminal may include one or more ( Figure 1Only one processor 102 is shown (the processor 102 may include, but is not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA), and a memory 104 for storing data. Among them, the above-mentioned mobile terminal may further include a transmission device 106 for communication functions and an input / output device 108. Those of ordinary skill in the art can understand that Figure 1 The structure shown is only schematic and does not limit the structure of the above-mentioned mobile terminal. For example, the mobile terminal may further include more or fewer components than Figure 1 shown in, or have a different configuration from Figure 1 shown.

[0029] The memory 104 can be used to store computer programs. For example, software programs and modules of application software, such as the computer program corresponding to the display method of device information in the embodiments of the present invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, implements the above-mentioned method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memories. In some instances, the memory 104 may further include a memory remotely provided with respect to the processor 102, and these remote memories can be connected to the mobile terminal through a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an enterprise intranet, a local area network, a mobile communication network, and combinations thereof. The transmission device 106 is used to receive or send data via a network. Specific examples of the above-mentioned network may include a wireless network provided by a communication provider of the mobile terminal. In one instance, the transmission device 106 includes a network adapter (abbreviated as NIC), which can be connected to other network devices through a base station and thus can communicate with the Internet. In one instance, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0030] In the embodiments of the present application, a logging simulation device is provided, which is used to simulate various test parameters in the actual logging process to determine the deviation between the calculation result and the true data in the actual logging process, and then correct the parameters obtained in the actual logging process, such as Figure 2 shown, the device includes:

[0031] A packaging shell 9, which is used to fix a standard rock block 7, and the above-mentioned standard rock block 7 is a rock block with known lithology and rock mass density;

[0032] Specifically, the actual purpose of the device of the present application is to test the lithology and rock mass density, and determine the parameter deviation during the logging process by comparing the test results with the actual lithology and actual rock mass density of the above-mentioned standard rock block 7, and then correct the logging results.

[0033] Base 10, connected to the above-mentioned encapsulated housing 9, and the base 10 is used to keep the encapsulated housing 9 placed horizontally;

[0034] Specifically, in order to ensure that the liquid level height of the mud is convenient to calibrate during the simulated logging process, the present application is configured to keep the encapsulated housing 9 stable through the base 10.

[0035] Hydraulic cylinder 1, connected to the side wall of the above-mentioned encapsulated housing 9, and the hydraulic cylinder 1 is used to adjust the gap between the logging instrument and the above-mentioned standard rock block 7;

[0036] Specifically, in the prior art, error correction is carried out through a calibration well, and when the logging instrument is placed, the well wall is measured by a pusher or an eccentric bow. However, the degree of fit between the logging instrument and the well wall is different in wells with different well diameters. The present application is configured to push the logging instrument to fit the well wall through a hydraulic cylinder to ensure controllability.

[0037] Hydraulic pump 5, connected to the above-mentioned hydraulic cylinder 1, and the hydraulic pump 5 is used to drive the hydraulic cylinder 1;

[0038] Specifically, as Figure 2 shown, the hydraulic cylinder 1 and the hydraulic pump 5 are connected through a hydraulic hose 4 to ensure the driving of the hydraulic cylinder 1 by the hydraulic pump 5.

[0039] Circulation pump 3, connected to the mud pipeline 2, and the mud pipeline 2 extends into the borehole of the above-mentioned standard rock block. The circulation pump 3 is used to keep the mud in a circulating state to avoid sedimentation.

[0040] Specifically, during the calibration process through the calibration well, due to the sedimentation effect, the calibration of the calibration well can only be realized in a clear water environment. The present application is configured to set the above-mentioned circulation pump 3 to keep the mud in a circulating state to avoid sedimentation in order to realize the calibration under different mud densities. The above-mentioned borehole is used to simulate the wellbore 6.

[0041] In addition, the above-mentioned logging simulation device further includes a mousehole 8, and the mousehole 8 is used to protect the logging instrument. During the measurement, due to the length of the logging instrument, the measurement end is placed in the wellbore 6, and the non-test end is placed in the mousehole 8.

[0042] In this embodiment, a method for determining the error of a logging simulation device running on a mobile terminal, a computer terminal, or a similar computing device is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. And although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.

[0043] Figure 3 It is a flowchart of a method for determining the error of a logging simulation device according to an embodiment of the present application. As Figure 3 shown, the method includes the following steps:

[0044] Step S201, place the logging instrument into the wellbore of the standard rock block in the encapsulated housing of the logging simulation device, and place a mud cake between the logging instrument and the wellbore wall of the wellbore. Control the hydraulic pump of the logging simulation device to drive the hydraulic cylinder of the logging simulation device to make the measurement surface of the logging instrument, the mud cake, and the wellbore wall fit. The wellbore is used to simulate the wellbore in the logging process;

[0045] Specifically, to test the error in different logging environments, the present application sets that the standard rock block is drilled with holes of different diameters to obtain standard rock blocks corresponding to different well diameters. Then place the logging instrument into the wellbore of the standard rock block, make the measurement surface of the logging instrument face the wellbore wall, the measurement surface face away from the hydraulic cylinder, and place a mud cake for measurement between the measurement surface and the wellbore wall. The mud cake is used to simulate the soil in the borehole during the logging process and can be adjusted according to the logging environment that needs to be corrected. Furthermore, control the hydraulic pump to drive the hydraulic cylinder to closely attach the measurement surface of the logging instrument to the wellbore wall.

[0046] Step S202, the first acquisition step, acquire the target mud density and configure the mud according to the target mud density, where the target mud density is any one of the preset mud densities;

[0047] Specifically, the present application sets different mud densities for simulating the mud in the borehole during the actual logging process to obtain the preset mud densities, and then optionally select one of the preset mud densities to obtain the target mud density and configure the mud accordingly.

[0048] Step S203, measurement step: Pour the above-mentioned mud from the upper opening of the wellbore until the height deviation between the liquid level of the above-mentioned mud and the height of the opening of the above-mentioned wellbore is the first threshold. Turn on the circulation pump of the above-mentioned well logging simulation device and control the above-mentioned well logging instrument to record the energy spectrum line to obtain the first measurement spectrum line and the second measurement spectrum line. The above-mentioned first measurement spectrum line is the energy spectrum line monitored by the detector in the above-mentioned well logging instrument with a distance greater than the first distance from the radiation source, and the above-mentioned second measurement spectrum line is the energy spectrum line monitored by the detector in the above-mentioned well logging instrument with a distance less than or equal to the above-mentioned first distance from the above-mentioned radiation source;

[0049] Specifically, pour the above-mentioned mud from the upper opening of the wellbore until the liquid level height of the mud is slightly lower than the upper opening height of the above-mentioned wellbore, then turn on the above-mentioned circulation pump, continuously circulate and measure the energy spectra corresponding to the long source distance and short source distance detectors respectively to obtain the above-mentioned first measurement spectrum line and the above-mentioned second measurement spectrum line.

[0050] Step S204, cleaning step: When the opening duration of the above-mentioned circulation pump in the above-mentioned well logging simulation device reaches the second threshold, end the measurement and clean the above-mentioned well logging simulation device;

[0051] Specifically, to ensure the accuracy of measuring the mud density in the wellbore each time, the above-mentioned well logging simulation device will be cleaned after the measurement is completed.

[0052] Step S205, repeat the above-mentioned first acquisition step, the above-mentioned measurement step and the above-mentioned cleaning step at least once in sequence until the above-mentioned first measurement spectrum line and the above-mentioned second measurement spectrum line corresponding to all the above-mentioned preset mud densities are obtained;

[0053] Specifically, the above-mentioned first acquisition step, the above-mentioned measurement step and the above-mentioned cleaning step complete the acquisition of the above-mentioned first measurement spectrum line and the above-mentioned second measurement spectrum line under a preset mud density. Repeating the above-mentioned first acquisition step, the above-mentioned measurement step and the above-mentioned cleaning step can obtain the above-mentioned first measurement spectrum line and the above-mentioned second measurement spectrum line under all preset mud densities.

[0054] Step S206, calculate the lithology and density according to each measurement spectrum line group to obtain multiple target lithologies and target rock mass densities, calculate the differences between each of the above-mentioned target lithologies and the preset lithologies to obtain multiple lithology errors, and calculate the differences between each of the above-mentioned target rock mass densities and the preset rock mass densities to obtain multiple rock mass density errors. The above-mentioned measurement spectrum line group includes one of the above-mentioned first measurement spectrum lines and a corresponding one of the above-mentioned second measurement spectrum lines. The above-mentioned preset lithology is the lithology of the above-mentioned standard rock block, and the above-mentioned preset rock mass density is the rock mass density of the above-mentioned standard rock block.

[0055] Specifically, based on the measured spectral lines, the lithology and rock mass density obtained by measurement can be calculated to obtain the above-mentioned target lithology and the above-mentioned target rock mass density. Furthermore, since the lithology and rock mass density of the standard rock block are known, that is, the above-mentioned preset lithology and preset rock mass density, according to the deviation between the measured value and the known value, the measurement errors under different measurement environments can be determined to obtain the above-mentioned lithology error and the above-mentioned rock mass density error.

[0056] In this embodiment, first, the logging instrument is placed in the wellbore of the standard rock block in the encapsulation housing of the logging simulation device, and a mud cake is placed between the logging instrument and the wellbore wall of the wellbore. The hydraulic pump of the logging simulation device is controlled to drive the hydraulic cylinder of the logging simulation device to make the measurement surface of the logging instrument, the mud cake and the wellbore wall fit. The wellbore is used to simulate the wellbore during the logging process. Then, the first acquisition step is executed to acquire the target mud density, and the mud is configured according to the target mud density. The target mud density is any one of the preset mud densities. After that, the measurement step is executed. The mud is poured into the wellbore from the upper opening of the wellbore until the height deviation between the liquid level of the mud and the height of the opening of the wellbore is the first threshold. The circulation pump of the logging simulation device is turned on and the logging instrument is controlled to record the energy spectral lines to obtain the first measurement spectral line and the second measurement spectral line. The first measurement spectral line is the energy spectral line monitored by the detector in the logging instrument with a distance greater than the first distance from the radiation source, and the second measurement spectral line is the energy spectral line monitored by the detector in the logging instrument with a distance less than or equal to the first distance from the radiation source. After that, the cleaning step is executed. When the opening time of the circulation pump of the logging simulation device reaches the second threshold, the measurement is ended and the logging simulation device is cleaned. After that, the above-mentioned first acquisition step, the above-mentioned measurement step and the above-mentioned cleaning step are sequentially repeated at least once until the first measurement spectral line and the second measurement spectral line corresponding to all the above-mentioned preset mud densities are obtained. Finally, the lithology and density are calculated according to each measurement spectral line group to obtain multiple target lithologies and target rock mass densities. The difference between each target lithology and the preset lithology is calculated to obtain multiple lithology errors, and the difference between each target rock mass density and the preset rock mass density is calculated to obtain multiple rock mass density errors. The measurement spectral line group includes one first measurement spectral line and a corresponding second measurement spectral line. The preset lithology is the lithology of the standard rock block, and the preset rock mass density is the rock mass density of the standard rock block. Through the above-mentioned logging simulation device, the logging process under different measurement environments is simulated in this application. Furthermore, according to the error between the measured value and the actual value, the measurement error under different measurement environments is determined, which solves the problem in the prior art that when calibration is carried out through a calibration well, only fresh water can be injected for testing, and the influence of mud and well diameter on the measurement result cannot be calibrated, and the error caused by the influence of well diameter, mud density and mud cake composition on the measurement result cannot be calibrated.

[0057] To measure the influence of different borehole diameters on the measurement error, in an alternative embodiment, before placing the logging instrument into the borehole of the above-mentioned standard rock block, the above method further includes:

[0058] Step S301: Obtain a plurality of preset well diameters, and drill holes on the corresponding standard rock blocks according to each of the preset well diameters to obtain the boreholes, the diameter of the boreholes being the preset well diameters, and the preset well diameters corresponding to the standard rock blocks one by one;

[0059] Specifically, drill holes on the corresponding standard rock blocks according to different preset well diameters, that is, obtain the standard rock blocks corresponding to different well diameters.

[0060] Step S302: Place the standard rock blocks into the encapsulation housing of the logging simulation device in ascending order of the preset well diameters, and drill holes in the first preset position and the second preset position of the encapsulation housing to connect the hydraulic cylinder and the mud pipeline with the boreholes.

[0061] Specifically, during the testing process, repeat the above testing process in sequence according to the size of the well diameter, and the error influence of different well diameters on the measurement results can be determined. At the same time, in order to ensure that the logging instrument fits the wellbore wall of the borehole of the standard rock block, this application is provided with openings on the side of the standard rock block to facilitate the passage of the hydraulic cylinder. On the other hand, in order to ensure the smooth circulation of the mud, this application is provided with openings at the lower end of the standard rock block to connect the borehole and the mud pipeline.

[0062] In order to obtain the above-mentioned target lithology and the above-mentioned target rock mass density, in an alternative embodiment, the above step S206 includes:

[0063] Step S2061: Second acquisition step, obtain a target measurement spectrum group, preprocess the first measurement spectrum in the target measurement spectrum group to obtain a corresponding first alternative curve and preprocess the second measurement spectrum in the target measurement spectrum group to obtain a corresponding second alternative curve, the preprocessing including filtering, derivation, and truncation, and the target measurement spectrum group being any one of the above measurement spectrum groups;

[0064] Specifically, each time a test is performed, a set of data of the long-source-distance and short-source-distance detectors corresponding to the first measurement spectrum and the second measurement spectrum is a measurement parameter group. Then, select any one of them to obtain the target measurement spectrum group, and process the obtained curves to obtain the partial curves for calculation to obtain the first alternative curve and the second alternative curve. The purpose of the above filtering is to smooth the curve and reduce the processing difficulty, and the purpose of the derivation is to determine the change slope of the curve.

[0065] Step S2062, the first determination step: Determine the first data point and the second data point according to the above-mentioned first alternative curve, determine the first target range according to the above-mentioned first data point and the first preset step length, determine the second target range according to the above-mentioned second data point and the second preset step length, determine the third data point according to the above-mentioned second alternative curve, and determine the third target range according to the above-mentioned third data point and the third preset step length. The above-mentioned first data point is the point corresponding to the maximum value in the above-mentioned first alternative curve, the above-mentioned second data point is the point corresponding to the minimum value in the above-mentioned first alternative curve, and the above-mentioned third data point is the point corresponding to the maximum value in the above-mentioned second alternative curve;

[0066] Specifically, select the points corresponding to the maximum value and the minimum value in the above-mentioned first alternative curve, which are respectively used to calculate the rock mass density and lithology, to obtain the above-mentioned first data point and the above-mentioned second data point. Furthermore, select the point corresponding to the maximum value of the above-mentioned second alternative curve to calculate the rock mass density of the Tan body, to obtain the above-mentioned third data point. Based on the above data points, determine the target ranges respectively based on the corresponding preset step lengths, to obtain the above-mentioned first target range, the above-mentioned second target range, and the above-mentioned third target range.

[0067] Step S2063, the second determination step: Intercept the above-mentioned first measurement spectrum according to the above-mentioned first target range and the above-mentioned second target range to obtain the first target curve and the second target curve, and intercept the above-mentioned second measurement spectrum according to each of the above-mentioned third target ranges to obtain the third target curve;

[0068] Specifically, as Figure 4 shown, the above-mentioned first target range, the above-mentioned second target range, and the above-mentioned third target range are the horizontal axis value ranges. Respectively intercept the corresponding curves in the first measurement energy spectrum according to the corresponding first target range and the above-mentioned second target range to obtain the first target curve and the second target curve. Similarly, intercept the second measurement curve to obtain the third target curve.

[0069] Step S2064, the calculation step: Input the above-mentioned first target curve and the above-mentioned third target curve into the rock mass density model to obtain the target rock mass density, input the above-mentioned second target curve into the lithology model to obtain the target lithology. The above-mentioned rock mass density model is used to calculate the rock mass density according to the above-mentioned energy spectrum line, and the above-mentioned lithology model is used to calculate the lithology according to the above-mentioned energy spectrum line;

[0070] Specifically, there are corresponding mature calculation software for calculating the rock mass density and lithology according to the energy spectrum line. The target rock mass density can be calculated according to the above-mentioned first target curve and the above-mentioned third target curve, and the target lithology can be calculated according to the above-mentioned second target curve.

[0071] In the above embodiments, the present application is configured to intercept the energy window according to the maximum and minimum values of the derivative and the corresponding preset step size. Compared with the fixed energy window in the prior art, the floating energy of the present application can capture the characteristic curve more accurately.

[0072] Step S2065, repeat the above second obtaining step, the above first determining step, the above second determining step, and the above calculating step at least once in sequence until the above target lithology and the above target rock mass density corresponding to all the above measurement spectral line groups are obtained.

[0073] Specifically, the above second obtaining step, the above first determining step, the above second determining step, and the above calculating step calculate the lithology and the rock mass density corresponding to a group of target measurement spectral line groups. Repeating the above second obtaining step, the above first determining step, the above second determining step, and the above calculating step can obtain the lithology and the rock mass density corresponding to all the target measurement spectral line groups.

[0074] In order to obtain the above first alternative curve and the above second alternative curve, in an alternative embodiment, the above step S2061 includes:

[0075] Step S20611, filter the above first measurement spectral line and the above second measurement spectral line to obtain the corresponding first smoothed curve and second smoothed curve, where the filtering is used to convert the irregular energy spectral line into a smoothed curve;

[0076] Specifically, the energy spectral line obtained by actual monitoring fluctuates irregularly and has a high calculation complexity. Therefore, it is necessary to convert the spectral line into a smoothed curve through filtering to obtain the above first smoothed curve and the above second smoothed curve.

[0077] Step S20612, respectively take the derivative of the above first smoothed curve and the above second smoothed curve to obtain a first derivative curve and a second derivative curve;

[0078] Specifically, to facilitate finding the extreme points in the smoothed curve, the present application is configured to take the derivative of the above smoothed curve to obtain the corresponding derivative curve, that is, to obtain the above first derivative curve and the above second derivative curve.

[0079] Step S20613, intercept the above first derivative curve according to a first preset interval to obtain the above first alternative curve and intercept the above second derivative curve according to a second preset interval to obtain the above second alternative curve.

[0080] Specifically, in the process of calculation, only the curves within a certain energy range in the energy spectral line are used for calculation. Therefore, the present application is configured to intercept the above smoothed curve according to the corresponding preset curve to obtain the above first alternative curve and the above second alternative curve.

[0081] In an alternative embodiment, to obtain the above first target range, step S2062 includes:

[0082] Step S20621: Determine a first target value according to the ordinate corresponding to the first data point, and calculate the product of the target value and a first preset coefficient to obtain a second target value;

[0083] Specifically, after determining the above first data point, determine the second target value by calculating with the corresponding ordinate and the preset coefficient.

[0084] Step S20622: Determine a target point according to the second target value, and determine the first preset step length according to the target point. The target point is the point on the first alternative curve with the ordinate being the second target value, and the first preset step length is the difference in abscissas between the first data point and the target point;

[0085] Specifically, intercept the target point on the above first alternative curve according to the second target value, and then determine the above first preset step length according to the distance between the target point and the above first data point.

[0086] Step S20623: Take the first preset step length from the abscissa corresponding to the first data point towards the positive and negative directions of the horizontal axis respectively to obtain a third target value and a fourth target value, and determine the first target range according to the third target value and the fourth target value.

[0087] Specifically, taking the first preset step length from the abscissa corresponding to the first data point towards the positive and negative directions of the horizontal axis respectively is the above first target range.

[0088] In an alternative embodiment, to correct measurement errors, after calculating multiple target lithologies and target rock mass densities based on each measurement spectral line group, calculating multiple lithology errors by calculating each of the above target lithologies and the preset lithology, and calculating the differences between each of the above target rock mass densities and the preset rock mass density to obtain multiple rock mass density errors, the method further includes:

[0089] Step S401: Obtain the measured rock mass density, measured lithology, measured mud density, and measured well diameter. The measured rock mass density is the rock mass density measured during the actual logging process of the logging instrument, the measured lithology is the lithology measured during the actual logging process of the logging instrument, the measured mud density is the mud density in the wellbore during the logging process, and the measured well diameter is the diameter of the wellbore during the logging process;

[0090] Specifically, obtain the measurement parameters during the actual logging process to obtain the above measured rock mass density and measured lithology, and then obtain the environmental parameters to obtain the measured mud density and measured well diameter.

[0091] Step S402: Determine the target rock mass density and the target lithology error based on the measured mud density and the measured well diameter. The above-mentioned target lithology error is the rock mass density error and the lithology error corresponding to the case where the above-mentioned mud density is the measured mud density and the above-mentioned well diameter is the measured well diameter.

[0092] Specifically, determine the corresponding lithology error and rock mass density error based on the measured well diameter and the measured mud density, and correct the measured rock mass density and the measured lithology according to the errors.

[0093] It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. And although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.

[0094] The embodiment of the present application also provides an error determination device using a well logging simulation device. It should be noted that the error determination device using a well logging simulation device in the embodiment of the present application can be used to execute the error determination method using a well logging simulation device provided by the embodiment of the present application. This device is used to implement the above-mentioned embodiment and the preferred implementation manner, and those that have been described will not be repeated. As used below, the term "module" can be a combination of software and / or hardware that can achieve a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware is also possible and contemplated.

[0095] The following introduces the error determination device using a well logging simulation device provided by the embodiment of the present application.

[0096] Figure 5 It is a structural block diagram of the error determination device using a well logging simulation device according to the embodiment of the present application. As Figure 5 shown, the device includes:

[0097] The first placement unit 10 is used to place a logging instrument into the wellbore of a standard rock block in the encapsulation housing of the well logging simulation device, place a mud cake between the logging instrument and the wellbore wall, and control the hydraulic pump of the well logging simulation device to drive the hydraulic cylinder of the well logging simulation device to make the measurement surface of the logging instrument, the mud cake and the wellbore wall fit. The above-mentioned wellbore is used to simulate the wellbore in the logging process;

[0098] The first acquisition unit 20 is used to execute the first acquisition step, acquire the target mud density, and configure the mud according to the above-mentioned target mud density. The above-mentioned target mud density is any one of the preset mud densities;

[0099] A measuring unit 30, configured to perform a measuring step, pour the above-mentioned mud from the upper opening of the above-mentioned wellbore until the height deviation between the liquid level of the above-mentioned mud and the height of the opening of the above-mentioned wellbore is a first threshold value, turn on the circulation pump of the above-mentioned well logging simulation device and control the above-mentioned well logging instrument to record energy spectral lines to obtain a first measurement spectral line and a second measurement spectral line, where the first measurement spectral line is the energy spectral line monitored by a detector in the above-mentioned well logging instrument with a distance from the radiation source greater than a first distance, and the second measurement spectral line is the energy spectral line monitored by the above-mentioned detector in the above-mentioned well logging instrument with a distance from the above-mentioned radiation source less than or equal to the above-mentioned first distance;

[0100] A cleaning unit 40, configured to perform a cleaning step, when the opening duration of the above-mentioned circulation pump of the above-mentioned well logging simulation device reaches a second threshold value, end the measurement and clean the above-mentioned well logging simulation device;

[0101] A repeating unit 50, configured to sequentially repeat the above-mentioned first acquisition step, the above-mentioned measuring step and the above-mentioned cleaning step at least once until the above-mentioned first measurement spectral line and the above-mentioned second measurement spectral line corresponding to all the above-mentioned preset mud densities are obtained;

[0102] A first calculation unit 60, configured to calculate the lithology and density according to each measurement spectral line group to obtain a plurality of target lithologies and target rock mass densities, calculate the differences between each of the above-mentioned target lithologies and the preset lithology to obtain a plurality of lithology errors, and calculate the differences between each of the above-mentioned target rock mass densities and the preset rock mass density to obtain a plurality of rock mass density errors. The above-mentioned measurement spectral line group includes one of the above-mentioned first measurement spectral lines and a corresponding one of the above-mentioned second measurement spectral lines. The above-mentioned preset lithology is the lithology of the above-mentioned standard rock block, and the above-mentioned preset rock mass density is the rock mass density of the above-mentioned standard rock block.

[0103] Through this embodiment, the first placement unit places the logging instrument into the wellbore of the standard rock block in the encapsulation housing of the logging simulation device, and places a mud cake between the logging instrument and the wellbore wall of the wellbore. The hydraulic pump of the logging simulation device is controlled to drive the hydraulic cylinder of the logging simulation device to make the measurement surface of the logging instrument, the mud cake and the wellbore wall fit. The wellbore is used to simulate the wellbore in the logging process; the first acquisition unit executes the first acquisition step to acquire the target mud density, and configures the mud according to the target mud density. The target mud density is any one of the preset mud densities; the measurement unit executes the measurement step, fills the mud from the upper opening of the wellbore until the height deviation between the liquid level of the mud and the height of the opening of the wellbore is the first threshold, turns on the circulation pump of the logging simulation device and controls the logging instrument to record the energy spectrum line to obtain the first measurement spectrum line and the second measurement spectrum line. The first measurement spectrum line is the energy spectrum line monitored by the detector in the logging instrument with a distance greater than the first distance from the radiation source, and the second measurement spectrum line is the energy spectrum line monitored by the detector in the logging instrument with a distance less than or equal to the first distance from the radiation source; the cleaning unit executes the cleaning step. When the opening duration of the circulation pump of the logging simulation device reaches the second threshold, the measurement is ended and the logging simulation device is cleaned; the repeating unit sequentially repeats the first acquisition step, the measurement step and the cleaning step at least once until the first measurement spectrum line and the second measurement spectrum line corresponding to all the preset mud densities are obtained; the first calculation unit calculates the lithology and density based on each measurement spectrum line group to obtain a plurality of target lithologies and target rock mass densities, calculates the difference between each target lithology and the preset lithology to obtain a plurality of lithology errors, and calculates the difference between each target rock mass density and the preset rock mass density to obtain a plurality of rock mass density errors. The measurement spectrum line group includes one first measurement spectrum line and a corresponding second measurement spectrum line. The preset lithology is the lithology of the standard rock block, and the preset rock mass density is the rock mass density of the standard rock block. Through the logging simulation device of the present application, the logging process under different measurement environments is simulated, and then according to the error between the measured value and the actual value, the measurement error under different measurement environments is determined, which solves the problem in the prior art that through calibration in the calibration well, only fresh water can be injected for testing, and the influence of the mud and well diameter on the measurement result cannot be corrected, and the error caused by the inability to correct the influence of the well diameter, mud density and mud cake composition on the measurement result.

[0104] In order to measure the influence of different wellbore diameters on the measurement error, in an optional embodiment, the device further includes:

[0105] A second acquisition unit, configured to acquire a plurality of preset well diameters before placing the logging instrument into the wellbore of the above-mentioned standard rock block, and drill holes in the corresponding above-mentioned standard rock blocks according to each of the above-mentioned preset well diameters to obtain the above-mentioned wellbore, the diameter of the above-mentioned wellbore being the above-mentioned preset well diameter, and the above-mentioned preset well diameter corresponding to the above-mentioned standard rock block one by one;

[0106] Specifically, by drilling holes in the corresponding above-mentioned standard rock blocks according to different above-mentioned preset well diameters, the above-mentioned standard rock blocks corresponding to different well diameters can be obtained.

[0107] A second placement unit, configured to sequentially place the above-mentioned standard rock blocks into the above-mentioned encapsulation housing of the above-mentioned logging simulation device from the smallest to the largest of the above-mentioned preset well diameters, and drill holes in the first preset position and the second preset position of the above-mentioned encapsulation housing to connect the above-mentioned hydraulic cylinder and the above-mentioned mud pipeline to the above-mentioned wellbore.

[0108] Specifically, during the testing process, the above-mentioned testing process is repeated in sequence according to the size of the well diameter, and the error influence of different well diameters on the measurement results can be determined. At the same time, in order to ensure that the logging instrument fits the wellbore wall of the standard rock block, the present application provides an opening on the side of the above-mentioned standard rock block to facilitate the passage of the above-mentioned hydraulic cylinder. On the other hand, in order to ensure the smooth circulation of the mud, the present application provides an opening at the lower end of the above-mentioned standard rock block to connect the wellbore and the above-mentioned mud pipeline.

[0109] In order to obtain the above-mentioned target lithology and the above-mentioned target rock mass density, in an alternative embodiment, the above-mentioned first calculation unit includes:

[0110] An acquisition module, configured to execute the second acquisition step, acquire a target measurement spectral group, preprocess the first measurement spectrum in the above-mentioned target measurement spectral group to obtain a corresponding first alternative curve and preprocess the second measurement spectrum in the above-mentioned target measurement spectral group to obtain a corresponding second alternative curve, the above-mentioned preprocessing including filtering, derivation, and truncation, and the above-mentioned target measurement spectral group being any one of the above-mentioned measurement spectral groups;

[0111] Specifically, each test obtains a set of data of long-source-distance and short-source-distance detectors corresponding to the above-mentioned first measurement spectrum and the above-mentioned second measurement spectrum as one of the above-mentioned measurement parameter groups. Then, any one of them is selected to obtain the above-mentioned target measurement spectral group, and the curves obtained therein are processed to obtain the partial curves for calculation to obtain the above-mentioned first alternative curve and the above-mentioned second alternative curve. The purpose of the above-mentioned filtering is to smooth the curve and reduce the processing difficulty, and the purpose of the above-mentioned derivation is to determine the change slope of the curve.

[0112] The first determination module is used to execute the first determination step, determine the first data point and the second data point according to the above first alternative curve, determine the first target range according to the above first data point and the first preset step length, determine the second target range according to the above second data point and the second preset step length, determine the third data point according to the above second alternative curve, and determine the third target range according to the above third data point and the third preset step length. The above first data point is the point corresponding to the maximum value in the above first alternative curve, the above second data point is the point corresponding to the minimum value in the above first alternative curve, and the above third data point is the point corresponding to the maximum value in the above second alternative curve;

[0113] Specifically, select the points corresponding to the maximum value and the minimum value in the above first alternative curve, which are respectively used to calculate the rock mass density and lithology, to obtain the above first data point and the above second data point. Furthermore, select the point corresponding to the maximum value of the above second alternative curve to calculate the density of the rock mass, to obtain the above third data point. Based on the above data points, determine the target ranges respectively based on the corresponding preset step lengths, to obtain the above first target range, the above second target range, and the above third target range.

[0114] The second determination module is used to execute the second determination step, intercept the above first measurement spectrum according to the above first target range and the above second target range to obtain the first target curve and the second target curve, and intercept the above second measurement spectrum according to each of the above third target ranges to obtain the third target curve;

[0115] Specifically, as Figure 4 shown, the above first target range, the above second target range, and the above third target range are the horizontal axis value ranges. Respectively intercept the corresponding curves in the first measurement energy spectrum according to the corresponding first target range and the above second target range to obtain the first target curve and the second target curve. Similarly, intercept the second measurement curve to obtain the third target curve.

[0116] The calculation module is used to execute the calculation step, input the above first target curve and the above third target curve into the rock mass density model to obtain the above target rock mass density, input the above second target curve into the lithology model to obtain the above target lithology. The above rock mass density model is used to calculate the rock mass density according to the above energy spectrum line, and the above lithology model is used to calculate the lithology according to the above energy spectrum line;

[0117] Specifically, there are corresponding mature calculation software for calculating the rock mass density and lithology according to the energy spectrum line. The above target rock mass density can be calculated according to the above first target curve and the above third target curve, and the above target lithology can be calculated according to the above second target curve.

[0118] In the above embodiments, the present application is configured to intercept the energy window according to the maximum value, minimum value of the derivative, and the corresponding preset step size. Compared with the fixed energy window in the prior art, the floating energy window of the present application can capture the characteristic curve more accurately.

[0119] A repetition module, configured to repeat the above-mentioned second obtaining step, the above-mentioned first determining step, the above-mentioned second determining step, and the above-mentioned calculating step in sequence at least once until the above-mentioned target lithology and the above-mentioned target rock mass density corresponding to all the above-mentioned measured spectral line groups are obtained.

[0120] Specifically, the above-mentioned second obtaining step, the above-mentioned first determining step, the above-mentioned second determining step, and the above-mentioned calculating step calculate the lithology and the rock mass density corresponding to a group of target measured spectral line groups. Repeating the above-mentioned second obtaining step, the above-mentioned first determining step, the above-mentioned second determining step, and the above-mentioned calculating step can obtain the lithology and the rock mass density corresponding to all the target measured spectral line groups.

[0121] In order to obtain the above-mentioned first alternative curve and the above-mentioned second alternative curve, in an alternative embodiment, the above-mentioned obtaining module includes:

[0122] A filtering sub-module, configured to filter the above-mentioned first measured spectral line and the above-mentioned second measured spectral line to obtain corresponding first smoothed curve and second smoothed curve, where the filtering is used to convert the irregular energy spectral line into a smoothed curve;

[0123] Specifically, the energy spectral line obtained by actual monitoring fluctuates irregularly and has a high calculation complexity. Therefore, it is necessary to convert the spectral line into a smoothed curve through filtering to obtain the above-mentioned first smoothed curve and the above-mentioned second smoothed curve.

[0124] A derivative sub-module, configured to respectively take the derivative of the above-mentioned first smoothed curve and the above-mentioned second smoothed curve to obtain a first derivative curve and a second derivative curve;

[0125] Specifically, to facilitate finding the extreme points in the smoothed curve, the present application is configured to take the derivative of the above-mentioned smoothed curve to obtain the corresponding derivative curve, that is, to obtain the above-mentioned first derivative curve and the above-mentioned second derivative curve.

[0126] An intercepting sub-module, configured to intercept the above-mentioned first derivative curve according to a first preset interval to obtain the above-mentioned first alternative curve and intercept the above-mentioned second derivative curve according to a second preset interval to obtain the above-mentioned second alternative curve.

[0127] Specifically, in the process of calculation, only the curves within a certain energy range in the energy spectral line are used for calculation. Therefore, the present application is configured to intercept the above-mentioned smoothed curve according to the corresponding preset curve to obtain the above-mentioned first alternative curve and the above-mentioned second alternative curve.

[0128] In an alternative implementation, to obtain the above first target range, the above first determination module includes:

[0129] A first determination sub-module, configured to determine a first target value according to the ordinate corresponding to the first data point, and calculate the product of the target value and a first preset coefficient to obtain a second target value;

[0130] Specifically, after determining the above first data point, determine the second target value according to the corresponding ordinate and perform calculations with the preset coefficient.

[0131] A second determination sub-module, configured to determine a target point according to the second target value, and determine the first preset step length according to the target point. The target point is the point on the first alternative curve whose ordinate is the second target value, and the first preset step length is the difference in abscissas between the first data point and the target point;

[0132] Specifically, intercept the target point on the above first alternative curve according to the second target value, and then determine the distance between the target point and the above first data point as the above first preset step length.

[0133] A third determination sub-module, configured to obtain a third target value and a fourth target value by taking the first preset step length from the abscissa corresponding to the first data point in the positive and negative directions of the horizontal axis respectively, and determine the first target range according to the third target value and the fourth target value.

[0134] Specifically, taking the first preset step length from the abscissa corresponding to the first data point in the positive and negative directions of the horizontal axis respectively is the above first target range.

[0135] In an alternative implementation, to correct measurement errors, the above device further includes:

[0136] A third acquisition unit, configured to obtain the measured rock mass density, measured lithology, measured mud density, and measured well diameter after calculating multiple target lithologies and target rock mass densities based on each measurement spectral line group, calculating multiple lithology errors by calculating each of the above target lithologies and the preset lithology, and calculating the differences between each of the above target rock mass densities and the preset rock mass density. The measured rock mass density is the rock mass density measured during the actual logging process of the logging instrument, the measured lithology is the lithology measured during the actual logging process of the logging instrument, the measured mud density is the mud density in the wellbore during the logging process, and the measured well diameter is the diameter of the wellbore during the logging process;

[0137] Specifically, obtain the measurement parameters during the actual logging process to obtain the above measured rock mass density and measured lithology, and then obtain the environmental parameters to obtain the measured mud density and measured well diameter.

[0138] A second calculation unit, configured to determine a target rock mass density and a target lithology error according to the measured mud density and the measured well diameter, where the target lithology error is the rock mass density error and the lithology error corresponding to the mud density being the measured mud density and the well diameter being the measured well diameter.

[0139] Specifically, the lithology error and the rock mass density error corresponding to the measured well diameter and the measured mud density are determined, and the measured rock mass density and the measured lithology are corrected according to the errors.

[0140] The error determination device using the well logging simulation equipment includes a processor and a memory. The first placement unit, the first acquisition unit, the measurement unit, the cleaning unit, the repetition unit, the first calculation unit, etc. are all stored in the memory as program units, and the corresponding functions are implemented by the processor executing the program units stored in the memory. All the above modules are located in the same processor; alternatively, the above modules are respectively located in different processors in any combination form.

[0141] The processor contains a kernel, and the corresponding program unit is retrieved from the memory by the kernel. One or more kernels can be set, and the well logging error correction is achieved by adjusting the kernel parameters.

[0142] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash memory (flash RAM), and the memory includes at least one storage chip.

[0143] An embodiment of the present invention provides a computer-readable storage medium, where the computer-readable storage medium includes a stored program, and when the program runs, it controls the device where the computer-readable storage medium is located to execute the error determination method using the well logging simulation equipment.

[0144] Specifically, the error determination method using the well logging simulation equipment includes:

[0145] Step S201: Place the well logging instrument into the wellbore of the standard rock block in the encapsulation housing of the well logging simulation equipment, place a mud cake between the well logging instrument and the wellbore wall of the wellbore, and control the hydraulic pump of the well logging simulation equipment to drive the hydraulic cylinder of the well logging simulation equipment to make the measurement surface of the well logging instrument, the mud cake, and the wellbore wall fit. The wellbore is used to simulate the wellbore during the well logging process.

[0146] Specifically, to test the errors in different logging environments, the present application is configured to drill holes of different diameters in the above-mentioned standard rock blocks to obtain standard rock blocks corresponding to different well diameters. Then, the above-mentioned logging instrument is placed into the wellbore of the above-mentioned standard rock block, with the measuring surface of the above-mentioned logging instrument facing the well wall, the measuring surface facing away from the above-mentioned hydraulic cylinder, and a mud cake for measurement is placed between the measuring surface and the well wall. The above-mentioned mud cake is used to simulate the soil in the borehole during the logging process, and the proportion can be adjusted according to the logging environment that can be corrected as required. Furthermore, the hydraulic pump is controlled to drive the hydraulic cylinder to press the measuring surface of the logging instrument tightly against the well wall.

[0147] Step S202, the first acquisition step, to acquire the target mud density and configure the above-mentioned mud according to the above-mentioned target mud density, where the above-mentioned target mud density is any one of the preset mud densities;

[0148] Specifically, the present application sets different mud densities to obtain the above-mentioned preset mud densities for simulating the mud in the borehole during the actual logging process. Then, any one of the above-mentioned preset mud densities is selected to obtain the above-mentioned target mud density, and the mud is configured accordingly.

[0149] Step S203, the measurement step, to pour the above-mentioned mud from the upper opening of the above-mentioned wellbore until the height deviation between the liquid level of the above-mentioned mud and the height of the opening of the above-mentioned wellbore is the first threshold, turn on the circulation pump of the above-mentioned logging simulation device and control the above-mentioned logging instrument to record the energy spectrum lines to obtain the first measurement spectrum line and the second measurement spectrum line. The above-mentioned first measurement spectrum line is the energy spectrum line monitored by the detector in the above-mentioned logging instrument that is at a distance greater than the first distance from the radiation source, and the above-mentioned second measurement spectrum line is the energy spectrum line monitored by the detector in the above-mentioned logging instrument that is at a distance less than or equal to the above-mentioned first distance from the above-mentioned radiation source;

[0150] Specifically, the above-mentioned mud is poured from the upper opening of the wellbore until the liquid level of the mud is slightly lower than the height of the upper opening of the wellbore, and then the above-mentioned circulation pump is turned on, continuously circulated, and the energy spectra corresponding to the long source distance and short source distance detectors are measured respectively to obtain the above-mentioned first measurement spectrum line and the above-mentioned second measurement spectrum line.

[0151] Step S204, the cleaning step, to end the measurement and clean the above-mentioned logging simulation device when the running time of the above-mentioned circulation pump of the above-mentioned logging simulation device reaches the second threshold;

[0152] Specifically, to ensure the accuracy of the mud density in the wellbore for each measurement, the above-mentioned logging simulation device is cleaned after the measurement is completed.

[0153] Step S205, repeat the above-mentioned first acquisition step, the above-mentioned measurement step, and the above-mentioned cleaning step at least once in sequence until the above-mentioned first measurement spectrum line and the above-mentioned second measurement spectrum line corresponding to all the above-mentioned preset mud densities are obtained;

[0154] Specifically, the above-mentioned first acquisition step, the above-mentioned measurement step, and the above-mentioned cleaning step complete the acquisition of the above-mentioned first measurement spectrum and the above-mentioned second measurement spectrum under a preset mud density. Repeating the above-mentioned first acquisition step, the above-mentioned measurement step, and the above-mentioned cleaning step can obtain the above-mentioned first measurement spectrum and the above-mentioned second measurement spectrum under all preset mud densities.

[0155] Step S206, calculate the lithology and density based on each measurement spectrum group to obtain multiple target lithologies and target rock mass densities, calculate the differences between each of the above-mentioned target lithologies and the preset lithology to obtain multiple lithology errors, and calculate the differences between each of the above-mentioned target rock mass densities and the preset rock mass density to obtain multiple rock mass density errors. The above-mentioned measurement spectrum group includes one of the above-mentioned first measurement spectra and a corresponding one of the above-mentioned second measurement spectra. The above-mentioned preset lithology is the lithology of the above-mentioned standard rock block, and the above-mentioned preset rock mass density is the rock mass density of the above-mentioned standard rock block.

[0156] Specifically, the lithology and rock mass density obtained by measurement can be calculated based on the measurement spectrum to obtain the above-mentioned target lithology and the above-mentioned target rock mass density. Furthermore, since the lithology and rock mass density of the standard rock block are known, that is, the above-mentioned preset lithology and preset rock mass density, based on the deviation between the measured value and the known value, the measurement errors under different measurement environments can be determined to obtain the above-mentioned lithology error and the above-mentioned rock mass density error.

[0157] An embodiment of the present invention provides a processor, and the above-mentioned processor is used to run a program. Among them, when the above-mentioned program runs, it executes the error determination method using a well logging simulation device.

[0158] Specifically, the error determination method using a well logging simulation device includes:

[0159] Step S201, place the well logging instrument into the wellbore of the standard rock block in the encapsulation housing of the well logging simulation device, place a mud cake between the above-mentioned well logging instrument and the wellbore wall, and control the hydraulic pump of the above-mentioned well logging simulation device to drive the hydraulic cylinder of the above-mentioned well logging simulation device to make the measurement surface of the above-mentioned well logging instrument, the above-mentioned mud cake, and the wellbore wall fit. The above-mentioned wellbore is used to simulate the wellbore during the well logging process;

[0160] Specifically, to test the errors under different well logging environments, this application sets that the above-mentioned standard rock block is drilled with holes of different diameters to obtain standard rock blocks corresponding to different well diameters respectively. Then place the above-mentioned well logging instrument into the wellbore of the above-mentioned standard rock block, make the measurement surface of the above-mentioned well logging instrument face the wellbore wall, the measurement surface face away from the above-mentioned hydraulic cylinder, and place a measurement mud cake between the measurement surface and the wellbore wall. The above-mentioned mud cake is used to simulate the soil in the borehole during the well logging process, and the ratio can be adjusted according to the well logging environment that can be corrected according to actual needs. Furthermore, control the hydraulic pump to drive the hydraulic cylinder to press the measurement surface of the well logging instrument against the wellbore wall.

[0161] Step S202, the first acquisition step: Obtain the target mud density, and configure the mud according to the target mud density, where the target mud density is any one of the preset mud densities.

[0162] Specifically, in this application, different mud densities are set for the mud in the borehole during the simulation of the actual logging process to obtain the preset mud densities, and then any one of the preset mud densities is selected to obtain the target mud density, and the mud is configured accordingly.

[0163] Step S203, the measurement step: Pour the mud from the upper opening of the wellbore until the height deviation between the liquid level of the mud and the height of the opening of the wellbore is the first threshold. Then turn on the circulation pump of the logging simulation device and control the logging instrument to record the energy spectrum lines to obtain the first measurement spectrum line and the second measurement spectrum line. The first measurement spectrum line is the energy spectrum line monitored by the detector in the logging instrument with a distance greater than the first distance from the radiation source, and the second measurement spectrum line is the energy spectrum line monitored by the detector in the logging instrument with a distance less than or equal to the first distance from the radiation source.

[0164] Specifically, pour the mud from the upper opening of the wellbore until the liquid level of the mud is slightly lower than the height of the upper opening of the wellbore, and then turn on the circulation pump, continuously circulate and measure the energy spectra corresponding to the long source distance and short source distance detectors respectively to obtain the first measurement spectrum line and the second measurement spectrum line.

[0165] Step S204, the cleaning step: When the running time of the circulation pump of the logging simulation device reaches the second threshold, end the measurement and clean the logging simulation device.

[0166] Specifically, to ensure the accuracy of measuring the mud density in the wellbore each time, the logging simulation device will be cleaned after the measurement is completed.

[0167] Step S205, repeat the above first acquisition step, the measurement step, and the cleaning step at least once in sequence until the first measurement spectrum line and the second measurement spectrum line corresponding to all the preset mud densities are obtained.

[0168] Specifically, the above first acquisition step, the measurement step, and the cleaning step complete the acquisition of the first measurement spectrum line and the second measurement spectrum line under one preset mud density. Repeating the above first acquisition step, the measurement step, and the cleaning step can obtain the first measurement spectrum line and the second measurement spectrum line under all preset mud densities.

[0169] Step S206: Calculate the lithology and density based on each group of measured spectral lines to obtain multiple target lithologies and target rock mass densities. Calculate the lithology errors by calculating the differences between each of the above-mentioned target lithologies and the preset lithology, and calculate the differences between each of the above-mentioned target rock mass densities and the preset rock mass density to obtain multiple rock mass density errors. The above-mentioned group of measured spectral lines includes one of the above-mentioned first measured spectral lines and a corresponding one of the above-mentioned second measured spectral lines. The above-mentioned preset lithology is the lithology of the above-mentioned standard rock block, and the above-mentioned preset rock mass density is the rock mass density of the above-mentioned standard rock block.

[0170] Specifically, based on the measured spectral lines, the measured lithology and rock mass density can be calculated to obtain the above-mentioned target lithology and the above-mentioned target rock mass density. Furthermore, since the lithology and rock mass density of the standard rock block are known, that is, the above-mentioned preset lithology and preset rock mass density, according to the deviation between the measured value and the known value, the measurement errors in different measurement environments can be determined to obtain the above-mentioned lithology error and the above-mentioned rock mass density error.

[0171] An embodiment of the present invention provides a logging error correction system. The logging error correction system includes a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, it implements at least the following steps:

[0172] Step S201: Place the logging tool into the wellbore of the standard rock block in the encapsulation shell of the logging simulation device, and place a mud cake between the logging tool and the wellbore wall. Control the hydraulic pump of the logging simulation device to drive the hydraulic cylinder of the logging simulation device so that the measurement surface of the logging tool, the mud cake, and the wellbore wall are in contact. The above-mentioned wellbore is used to simulate the wellbore during the logging process;

[0173] Step S202, the first acquisition step: Acquire the target mud density and configure the mud according to the above-mentioned target mud density. The above-mentioned target mud density is any one of the preset mud densities;

[0174] Step S203, the measurement step: Pour the above-mentioned mud from the upper opening of the above-mentioned wellbore until the height deviation between the liquid level of the mud and the height of the opening of the above-mentioned wellbore is the first threshold. Turn on the circulation pump of the logging simulation device and control the logging tool to record the energy spectral lines to obtain the first measured spectral line and the second measured spectral line. The above-mentioned first measured spectral line is the energy spectral line monitored by the detector in the logging tool that is at a distance greater than the first distance from the radiation source, and the above-mentioned second measured spectral line is the energy spectral line monitored by the detector in the logging tool that is at a distance less than or equal to the above-mentioned first distance from the above-mentioned radiation source;

[0175] Step S204, the cleaning step: When the opening duration of the circulation pump of the logging simulation device reaches the second threshold, end the measurement and clean the logging simulation device;

[0176] Step S205, repeat the above first acquisition step, the above measurement step, and the above cleaning step in sequence at least once until the above first measurement spectrum line and the above second measurement spectrum line corresponding to all the above preset mud densities are obtained;

[0177] Step S206, calculate the lithology and density according to each measurement spectrum group to obtain multiple target lithologies and target rock mass densities, calculate the lithology errors between each of the above target lithologies and the preset lithology to obtain multiple lithology errors, and calculate the differences between each of the above target rock mass densities and the preset rock mass density to obtain multiple rock mass density errors. The above measurement spectrum group includes one of the above first measurement spectrum lines and a corresponding one of the above second measurement spectrum lines. The above preset lithology is the lithology of the above standard rock block, and the above preset rock mass density is the rock mass density of the above standard rock block.

[0178] The present application also provides a computer program product, which, when executed on a data processing device, is adapted to execute a program initialized with at least the following method steps:

[0179] Step S201, place the logging instrument into the wellbore of the standard rock block in the encapsulation housing of the logging simulation device, place a mud cake between the logging instrument and the wellbore wall of the wellbore, and control the hydraulic pump of the logging simulation device to drive the hydraulic cylinder of the logging simulation device to make the measurement surface of the logging instrument, the mud cake, and the wellbore wall fit. The above wellbore is used to simulate the wellbore during the logging process;

[0180] Step S202, the first acquisition step, acquire a target mud density, and configure the mud according to the above target mud density. The above target mud density is any one of the preset mud densities;

[0181] Step S203, the measurement step, pour the above mud from the upper opening of the above wellbore until the height deviation between the liquid level of the above mud and the height of the opening of the above wellbore is a first threshold, turn on the circulation pump of the above logging simulation device and control the logging instrument to record the energy spectrum line to obtain a first measurement spectrum line and a second measurement spectrum line. The above first measurement spectrum line is the above energy spectrum line monitored by the detector in the logging instrument with a distance from the radiation source greater than a first distance, and the above second measurement spectrum line is the above energy spectrum line monitored by the above detector in the logging instrument with a distance from the above radiation source less than or equal to the above first distance;

[0182] Step S204, the cleaning step, when the opening duration of the above circulation pump of the above logging simulation device reaches a second threshold, end the measurement and clean the above logging simulation device;

[0183] Step S205, repeat the above first acquisition step, the above measurement step, and the above cleaning step in sequence at least once until the above first measurement spectrum line and the above second measurement spectrum line corresponding to all the above preset mud densities are obtained;

[0184] Step S206: Calculate the lithology and density based on each group of measured spectral lines to obtain multiple target lithologies and target rock mass densities, calculate the differences between each of the above-mentioned target lithologies and the preset lithology to obtain multiple lithology errors, and calculate the differences between each of the above-mentioned target rock mass densities and the preset rock mass density to obtain multiple rock mass density errors. The above-mentioned group of measured spectral lines includes one of the above-mentioned first measured spectral lines and a corresponding one of the above-mentioned second measured spectral lines. The above-mentioned preset lithology is the lithology of the above-mentioned standard rock block, and the above-mentioned preset rock mass density is the rock mass density of the above-mentioned standard rock block.

[0185] Obviously, those skilled in the art should understand that the various modules or steps of the present invention described above can be implemented by a general-purpose computing device. They can be concentrated on a single computing device or distributed over a network composed of multiple computing devices. They can be implemented by program codes executable by the computing device. Thus, they can be stored in a storage device and executed by the computing device. And in some cases, the steps shown or described can be executed in a different order than here, or they can be separately fabricated into individual integrated circuit modules, or multiple modules or steps among them can be fabricated into a single integrated circuit module to be implemented. In this way, the present invention is not limited to any specific combination of hardware and software.

[0186] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0187] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of flows and / or blocks in the flowcharts and / or block diagrams, can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for realizing the functions specified in one Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0188] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a particular manner, such that the instructions stored in the computer-readable memory produce a manufacture including an instruction device that implements the functions specified in one process Figure 1 one process or multiple processes and / or blocks Figure 1 specified in one block or multiple blocks.

[0189] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operational steps are performed on the computer or other programmable device to produce a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one process Figure 1 one process or multiple processes and / or blocks Figure 1 specified in one block or multiple blocks.

[0190] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and memory.

[0191] The memory may include non-permanent memory in the form of computer-readable media, random access memory (RAM), and / or non-volatile memory such as read-only memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.

[0192] Computer-readable media includes both permanent and non-permanent, removable and non-removable media and can store information by any method or technology. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory media such as modulated data signals and carrier waves.

[0193] It should also be noted that the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, commodity or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, commodity or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, commodity or device comprising the element.

[0194] From the above description, it can be seen that the above embodiments of the present application achieve the following technical effects:

[0195] 1), The logging simulation device of the present application includes a sealed housing for fixing a standard rock block, where the standard rock block is a rock block with known lithology and rock mass density; a base connected to the sealed housing, and the base is used to keep the sealed housing horizontally placed; a hydraulic cylinder connected to the side wall of the sealed housing, and the hydraulic cylinder is used to adjust the gap between the logging instrument and the standard rock block; a hydraulic pump connected to the hydraulic cylinder, and the hydraulic pump is used to drive the hydraulic cylinder; a circulation pump connected to a mud pipeline, and the mud pipeline penetrates into a borehole of the standard rock block, and the circulation pump is used to keep the mud in a circulating state to avoid sedimentation. The logging calibration device of the present application sets a standard rock block that can be replaced for calibration under different wellbore diameters, sets a hydraulic cylinder to simulate the pressure of the mud on the logging instrument in the actual measurement environment, and sets a circulation pump to ensure that the mud does not settle to simulate the mud in the borehole of the actual measurement environment, solving the problem in the prior art that calibration is carried out through a calibration well and only fresh water can be injected for testing, and the influence of mud and well diameter on the measurement result cannot be calibrated.

[0196] 2) The method for determining the error of the logging simulation equipment in this application. First, place the logging instrument into the wellbore of the standard rock block in the encapsulation shell of the logging simulation equipment, and place a mud cake between the logging instrument and the wellbore wall of the wellbore. Control the hydraulic pump of the logging simulation equipment to drive the hydraulic cylinder of the logging simulation equipment so that the measurement surface of the logging instrument, the mud cake and the wellbore wall are in contact. The wellbore is used to simulate the wellbore in the logging process. Then, perform the first acquisition step to obtain the target mud density, and configure the mud according to the target mud density. The target mud density is any one of the preset mud densities. After that, perform the measurement step. Pour the mud from the upper opening of the wellbore until the height deviation between the liquid level of the mud and the height of the opening of the wellbore is the first threshold. Turn on the circulation pump of the logging simulation equipment and control the logging instrument to record the energy spectral lines to obtain the first measurement spectral line and the second measurement spectral line. The first measurement spectral line is the energy spectral line monitored by the detector in the logging instrument with a distance greater than the first distance from the radiation source, and the second measurement spectral line is the energy spectral line monitored by the detector in the logging instrument with a distance less than or equal to the first distance from the radiation source. After that, perform the cleaning step. When the opening time of the circulation pump of the logging simulation equipment reaches the second threshold, end the measurement and clean the logging simulation equipment. After that, repeat the above first acquisition step, the measurement step and the cleaning step at least once in sequence until the first measurement spectral line and the second measurement spectral line corresponding to all the preset mud densities are obtained. Finally, calculate the lithology and density according to each measurement spectral line group to obtain multiple target lithologies and target rock mass densities, calculate the difference between each target lithology and the preset lithology to obtain multiple lithology errors, and calculate the difference between each target rock mass density and the preset rock mass density to obtain multiple rock mass density errors. The measurement spectral line group includes one first measurement spectral line and a corresponding second measurement spectral line. The preset lithology is the lithology of the standard rock block, and the preset rock mass density is the rock mass density of the standard rock block. This application simulates the logging process under different measurement environments through the above logging simulation device, and then determines the measurement errors under different measurement environments according to the errors between the measured values and the actual values, solving the problem in the prior art that when calibrating through a calibration well, only fresh water can be injected for testing, and the influence of the mud and well diameter on the measurement results cannot be calibrated, and the errors caused by the inability to calibrate the influence of the well diameter, mud density and mud cake composition on the measurement results.

[0197] 3) The error determination device of the logging simulation equipment of the present application. The first placement unit places the logging instrument into the wellbore of the standard rock block in the encapsulated housing of the logging simulation equipment, and places a mud cake between the logging instrument and the wellbore wall. The hydraulic pump of the logging simulation equipment is controlled to drive the hydraulic cylinder of the logging simulation equipment to make the measurement surface of the logging instrument, the mud cake and the wellbore wall fit. The wellbore is used to simulate the wellbore during the logging process. The first acquisition unit executes the first acquisition step to obtain the target mud density, and configures the mud according to the target mud density. The target mud density is any one of the preset mud densities. The measurement unit executes the measurement step. The mud is poured into the upper opening of the wellbore until the height deviation between the liquid level of the mud and the height of the opening of the wellbore is the first threshold. The circulation pump of the logging simulation equipment is turned on and the logging instrument is controlled to record the energy spectrum line to obtain the first measurement spectrum line and the second measurement spectrum line. The first measurement spectrum line is the energy spectrum line monitored by the detector in the logging instrument whose distance from the radiation source is greater than the first distance, and the second measurement spectrum line is the energy spectrum line monitored by the detector in the logging instrument whose distance from the radiation source is less than or equal to the first distance. The cleaning unit executes the cleaning step. When the opening time of the circulation pump of the logging simulation equipment reaches the second threshold, the measurement is ended and the logging simulation equipment is cleaned. The repeating unit repeats the first acquisition step, the measurement step and the cleaning step at least once in sequence until the first measurement spectrum line and the second measurement spectrum line corresponding to all the preset mud densities are obtained. The first calculation unit calculates the lithology and density based on each measurement spectrum line group to obtain multiple target lithologies and target rock mass densities, calculates the difference between each target lithology and the preset lithology to obtain multiple lithology errors, and calculates the difference between each target rock mass density and the preset rock mass density to obtain multiple rock mass density errors. The measurement spectrum line group includes one first measurement spectrum line and a corresponding second measurement spectrum line. The preset lithology is the lithology of the standard rock block, and the preset rock mass density is the rock mass density of the standard rock block. The present application simulates the logging process under different measurement environments through the above logging simulation device, and then determines the measurement errors under different measurement environments according to the errors between the measured values and the actual values, solving the problem in the prior art that when calibrating through a calibration well, only fresh water can be injected for testing, and the influence of the mud and well diameter on the measurement result cannot be calibrated, and the errors caused by the inability to calibrate the influence of the well diameter, mud density and mud cake composition on the measurement result.

[0198] The above are only the preferred embodiments of the present application and are not used to limit the present application. For those skilled in the art, the present application can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A logging simulation device, characterized in that, Comprising: An encapsulation housing for fixing a standard rock block, which is a rock block with known lithology and rock mass density; A base connected to the encapsulation housing, and the base is used to keep the encapsulation housing placed horizontally; A hydraulic cylinder connected to the side wall of the encapsulation housing, and the hydraulic cylinder is used to adjust the gap between the logging instrument and the standard rock block; A hydraulic pump connected to the hydraulic cylinder, and the hydraulic pump is used to drive the hydraulic cylinder; A circulation pump connected to a mud pipeline, and the mud pipeline extends into a borehole of the standard rock block, and the circulation pump is used to keep the mud in a circulating state to avoid sedimentation.

2. A method for determining errors of a logging simulation device, characterized in that, The method comprises: Placing a logging instrument into a wellbore of a standard rock block in an encapsulation housing of a logging simulation device, and placing a mud cake between the logging instrument and the wellbore wall of the wellbore, controlling the hydraulic pump of the logging simulation device to drive the hydraulic cylinder of the logging simulation device to make the measurement surface of the logging instrument, the mud cake and the wellbore wall fit, and the wellbore is used to simulate the wellbore in the logging process; A first acquisition step of acquiring a target mud density and configuring the mud according to the target mud density, where the target mud density is any one of the preset mud densities; A measurement step of pouring the mud from the upper opening of the wellbore until the height deviation between the liquid level of the mud and the height of the opening of the wellbore is a first threshold, turning on the circulation pump of the logging simulation device and controlling the logging instrument to record the energy spectrum line to obtain a first measurement spectrum line and a second measurement spectrum line, where the first measurement spectrum line is the energy spectrum line monitored by a detector in the logging instrument with a distance from the radiation source greater than a first distance, and the second measurement spectrum line is the energy spectrum line monitored by the detector in the logging instrument with a distance from the radiation source less than or equal to the first distance; A cleaning step of ending the measurement and cleaning the logging simulation device when the opening time of the circulation pump of the logging simulation device reaches a second threshold; Repeating the first acquisition step, the measurement step and the cleaning step in sequence at least once until the first measurement spectrum line and the second measurement spectrum line corresponding to all the preset mud densities are obtained; Calculating the lithology and density according to each measurement spectrum line group to obtain a plurality of target lithologies and target rock mass densities, calculating the difference between each target lithology and the preset lithology to obtain a plurality of lithology errors, and calculating the difference between each target rock mass density and the preset rock mass density to obtain a plurality of rock mass density errors. The measurement spectrum line group includes one first measurement spectrum line and a corresponding second measurement spectrum line, the preset lithology is the lithology of the standard rock block, and the preset rock mass density is the rock mass density of the standard rock block.

3. The method according to claim 2, wherein Before placing the logging instrument into the wellbore of the standard rock block, the method further comprises: Acquiring a plurality of preset well diameters, and drilling boreholes on the corresponding standard rock blocks according to each preset well diameter to obtain the wellbores, the diameter of the wellbore is the preset well diameter, and the preset well diameters correspond to the standard rock blocks one by one; Place the standard rock blocks in the encapsulation housing of the logging simulation device in ascending order according to the preset wellbore diameter, and drill holes in the first preset position and the second preset position of the encapsulation housing for the standard rock blocks to connect the hydraulic cylinder and the mud pipeline with the wellbore.

4. The method according to claim 2, wherein Calculating the lithology and density according to each measurement spectral line group to obtain a plurality of target lithologies and target rock mass densities, including: A second acquisition step of acquiring a target measurement spectral line group, preprocessing the first measurement spectral line in the target measurement spectral line group to obtain a corresponding first alternative curve, and preprocessing the second measurement spectral line in the target measurement spectral line group to obtain a corresponding second alternative curve. The preprocessing includes filtering, derivation, and truncation. The target measurement spectral line group is any one of the measurement spectral line groups; A first determination step of determining a first data point and a second data point according to the first alternative curve, determining a first target range according to the first data point and a first preset step length, determining a second target range according to the second data point and a second preset step length, determining a third data point according to the second alternative curve, and determining a third target range according to the third data point and a third preset step length. The first data point is the point corresponding to the maximum value in the first alternative curve, the second data point is the point corresponding to the minimum value in the first alternative curve, and the third data point is the point corresponding to the maximum value in the second alternative curve; A second determination step of intercepting the first measurement spectral line according to the first target range and the second target range to obtain a first target curve and a second target curve, and intercepting the second measurement spectral line according to each third target range to obtain a third target curve; A calculation step of inputting the first target curve and the third target curve into a rock mass density model to obtain the target rock mass density, and inputting the second target curve into a lithology model to obtain the target lithology. The rock mass density model is used to calculate the rock mass density according to the energy spectral line, and the lithology model is used to calculate the lithology according to the energy spectral line; Repeat the second acquisition step, the first determination step, the second determination step, and the calculation step at least once in sequence until the target lithologies and the target rock mass densities corresponding to all the measurement spectral line groups are obtained.

5. The method according to claim 4, characterized in that, Preprocessing the first measurement spectral line in the target measurement spectral line group to obtain a corresponding first alternative curve and preprocessing the second measurement spectral line in the target measurement spectral line group to obtain a corresponding second alternative curve, including: Filtering the first measurement spectral line and the second measurement spectral line to obtain a corresponding first smoothed curve and a second smoothed curve. The filtering is used to convert the irregular energy spectral line into a smoothed curve; Deriving the first smoothed curve and the second smoothed curve respectively to obtain a first derivative curve and a second derivative curve; Intercepting the first derivative curve according to a first preset interval to obtain the first alternative curve and intercepting the second derivative curve according to a second preset interval to obtain the second alternative curve.

6. The method according to claim 4, characterized in that, Determining a first target range according to the first data point and a first preset step length includes: Determining a first target value according to the ordinate corresponding to the first data point, and calculating a product of the target value and a first preset coefficient to obtain a second target value; Determining a target point according to the second target value, and determining the first preset step length according to the target point, where the target point is a point on the first alternative curve with an ordinate of the second target value, and the first preset step length is the difference in abscissa between the first data point and the target point; Taking the first preset step length in the positive and negative directions of the horizontal axis respectively with the abscissa corresponding to the first data point as the center point to obtain a third target value and a fourth target value, and determining the first target range according to the third target value and the fourth target value.

7. The method according to claim 2, wherein After calculating multiple target lithologies and target rock mass densities by calculating lithologies and densities based on each measurement spectral line group, calculating multiple lithology errors by calculating each of the target lithologies and a preset lithology, and calculating differences between each of the target rock mass densities and a preset rock mass density to obtain multiple rock mass density errors, the method further includes: Obtaining a measured rock mass density, a measured lithology, a measured mud density, and a measured well diameter, where the measured rock mass density is the rock mass density measured during the actual logging process of the logging instrument, the measured lithology is the lithology measured during the actual logging process of the logging instrument, the measured mud density is the mud density in the wellbore during the logging process, and the measured well diameter is the diameter of the wellbore during the logging process; Determining a target rock mass density and a target lithology error according to the measured mud density and the measured well diameter, where the target lithology error is the rock mass density error and the lithology error corresponding to a mud density of the measured mud density and a well diameter of the measured well diameter.

8. An error determination device using a logging simulation device, characterized in that, The device includes: A first placement unit configured to place the logging instrument into a wellbore of a standard rock block in a packaging housing of a logging simulation device, place a mud cake between the logging instrument and the wellbore wall, and control a hydraulic pump of the logging simulation device to drive a hydraulic cylinder of the logging simulation device to make a measurement surface of the logging instrument, the mud cake, and the wellbore wall fit together, where the wellbore is used to simulate a wellbore during a logging process; A first acquisition unit configured to perform a first acquisition step to acquire a target mud density, and configure the mud according to the target mud density, where the target mud density is any one of preset mud densities; A measurement unit configured to perform a measurement step, pour the mud from an upper opening of the wellbore until a deviation between a liquid level height of the mud and a height of the opening of the wellbore is a first threshold, turn on a circulation pump of the logging simulation device, and control the logging instrument to record energy spectral lines to obtain a first measurement spectral line and a second measurement spectral line, where the first measurement spectral line is the energy spectral line monitored by a detector in the logging instrument at a distance greater than a first distance from a radiation source, and the second measurement spectral line is the energy spectral line monitored by a detector in the logging instrument at a distance less than or equal to the first distance from the radiation source; A cleaning unit for performing a cleaning step to end the measurement and clean the well logging simulation device when the running duration of the circulation pump in the well logging simulation device reaches a second threshold; A repeating unit for repeating the first obtaining step, the measuring step, and the cleaning step at least once in sequence until the first measurement spectra and the second measurement spectra corresponding to all the preset mud densities are obtained; A first calculation unit for calculating the lithology and density based on each measurement spectrum group to obtain a plurality of target lithologies and target rock mass densities, calculating the difference between each target lithology and the preset lithology to obtain a plurality of lithology errors, and calculating the difference between each target rock mass density and the preset rock mass density to obtain a plurality of rock mass density errors. The measurement spectrum group includes one of the first measurement spectra and a corresponding one of the second measurement spectra. The preset lithology is the lithology of the standard rock block, and the preset rock mass density is the rock mass density of the standard rock block.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, wherein when the program runs, it controls the device where the computer-readable storage medium is located to execute the method according to any one of claims 2 to 7.

10. A logging error correction system, characterized in that, Comprising: One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors. The one or more programs include those for executing the method according to any one of claims 2 to 7.

Images