Temperature and pressure adaptive mud resistivity correction device and correction method

Abstract

The embodiment of the application discloses a mud resistivity correction device and correction method based on temperature and pressure self-adaption, which comprises external and internal temperature sensors, external well pressure sensors, external mud resistivity sensors and internal working circuits; the internal working circuits comprise driving and solving circuits, temperature and pressure linearization circuits, collection self-adaption circuits and the like; the driving and solving circuits drive the external mud resistivity sensors to work and solve mud resistivity measurement values; the temperature and pressure linearization circuits process information of the external and internal temperature sensors and the external well pressure sensors to obtain external temperature information parameters, internal temperature information parameters and external pressure information parameters; the collection self-adaption circuits correct and calculate the mud resistivity measurement values according to the multiple information parameters to obtain target mud resistivity engineering values. The application performs self-adaption correction from the aspects of temperature and pressure, and reduces mud resistivity measurement errors.

Description

Technical Field

[0001] This application relates to the field of electrical logging technology in geophysical exploration, specifically to a mud resistivity correction device and method based on temperature and pressure self-adaptation. Background Technology

[0002] With the development of exploration and logging technology, the number of ultra-high temperature and high pressure wells is increasing year by year. This trend has put forward higher requirements for the environmental adaptability of logging equipment. At the same time, high-resolution imaging instruments are also being used on a large scale. As a key parameter for high-resolution lateral logging interpretation, the engineering value of mud resistivity is very important for logging efficiency and data interpretation.

[0003] The conductivity of mud resistivity is achieved through the directional movement of ions under the influence of an electric field. During well logging, the temperature rises, which accelerates the movement of ions, thus enhancing the conductivity of the mud and reducing its resistivity. In addition, under increased pressure, the conductive channels of the mud are compressed, reducing their volume and increasing the number of ions per unit volume, thereby enhancing conductivity and reducing the resistivity of the mud.

[0004] The realization of the measurement function of the logging device requires the combination of various electronic components to achieve data acquisition, analysis and processing. Electronic components have temperature drift in different directions in high temperature environment, which will increase the measurement error of the entire circuit system.

[0005] Therefore, how to correct the effects of temperature and pressure on mud resistivity measurement has become an urgent problem to be solved. Summary of the Invention

[0006] In view of the above problems, the present invention is proposed to provide a temperature and pressure adaptive mud resistivity correction device and method that overcomes or at least partially solves the above problems.

[0007] According to one aspect of the embodiments of this application, a mud resistivity correction device based on temperature and pressure adaptation is provided. The device includes: an external temperature sensor, an internal temperature sensor, an external well pressure sensor, an external mud resistivity sensor, and an internal working circuit. The external temperature sensor is used to acquire the temperature change of the surface through which the mud flows on the device. The internal temperature sensor is used to: acquire temperature changes in the internal operating circuitry of the device; External well pressure sensors are used to: acquire well mud pressure; The external mud resistivity sensor is used to: acquire the voltage difference generated by the current flowing through the mud using four sets of ring electrodes; The internal operating circuitry includes: drive and calculation circuitry, temperature and pressure linearization circuitry, acquisition and adaptive circuitry, communication circuitry, and power supply circuitry; The driving and calculation circuit is used to: drive the external mud resistivity sensor to work, and calculate the mud resistivity measurement value based on the transmitted current and the voltage difference obtained by the external mud resistivity sensor. The temperature and pressure linearization circuit is used to: process the information output by the external temperature sensor to obtain external temperature information parameters, process the information output by the internal temperature sensor to obtain internal temperature information parameters, and process the information output by the external well pressure sensor to obtain external pressure information parameters. The adaptive acquisition circuit is used to: correct and calculate the measured value of mud resistivity based on external temperature information parameters, internal temperature information parameters, and external pressure information parameters, so as to obtain the target engineering value of mud resistivity.

[0008] Furthermore, the external temperature sensor, external well pressure sensor, and external mud resistivity sensor are compactly mounted on the external surface of the device using a pressure-bearing structure, while the internal temperature sensor and internal working circuit are mounted on the internal printed circuit board of the device.

[0009] Furthermore, the driving and solving circuits include: a phase-shift oscillator circuit, a current driving circuit, a filtering and amplification circuit, and a phase-sensitive detection circuit.

[0010] Furthermore, the adaptive acquisition circuit is further used for: Based on external temperature information parameters, internal temperature information parameters, and external pressure information parameters, a mathematical calculation model is determined for the relationship between mud resistivity and temperature and pressure. The mathematical calculation model is then used to correct the mud resistivity measurement value to obtain the corrected mud resistivity value. The LMS algorithm is used to filter the corrected mud resistivity value to obtain the target mud resistivity engineering value.

[0011] Furthermore, the mathematical calculation model includes: a first calculation model corresponding to the external temperature information parameters, a second calculation model corresponding to the internal temperature information parameters, and a third calculation model corresponding to the external pressure information parameters; The adaptive acquisition circuit is further used for: External temperature correction parameters are generated using the first calculation model and external temperature information parameters, and the mud resistivity measurement value is corrected based on the external temperature correction parameters. The internal temperature correction parameters are generated using the polynomial fitting equation and internal temperature information parameters in the second calculation model, and the mud resistivity measurement value is corrected based on the internal temperature correction parameters. Pressure correction parameters are generated using a third calculation model and external pressure information parameters, and the mud resistivity measurement value is corrected based on the pressure correction parameters.

[0012] Furthermore, the first calculation model simulates mud solutions with different resistivities using standard NaCl solutions with different resistivities. The standard NaCl solutions with different resistivities are heated using a heating device. The calculation model between mud resistivity and external temperature is established based on the resistivity change data recorded under different temperature environments during the experiment. The polynomial fitting equation in the second calculation model is generated by performing temperature tests on the device using a high-temperature drying oven and a simulated resistivity network, and is fitted based on the standard resistivity value and the internal temperature and resistivity values ​​recorded during the test. The third calculation model uses standard NaCl solutions with different resistivities to simulate mud solutions with different resistivities. A piston-type pressure gauge is used to pressurize the standard NaCl solutions with different resistivities. The calculation model between mud resistivity and pressure is established based on the resistivity change data recorded under different pressure conditions during the experiment.

[0013] Furthermore, the adaptive acquisition circuit is further used for: The LMS algorithm is used to set initialization parameters at each iteration based on historical data and relevant environmental information provided by the storage unit.

[0014] Furthermore, the temperature and pressure linearization circuit is further used for: Based on the preset priorities of the external temperature sensor, internal temperature sensor, and external well pressure sensor, the information output by the external temperature sensor, internal temperature sensor, and external well pressure sensor is filtered and noise-reduced to obtain external temperature information parameters, internal temperature information parameters, and external pressure information parameters.

[0015] Furthermore, the communication circuit is used for: communicating with external devices; The power supply circuit is used to provide power to drive and calculation circuits, temperature and pressure linearization circuits, acquisition and adaptive circuits, and communication circuits.

[0016] According to another aspect of the embodiments of this application, a correction method for the temperature and pressure adaptive mud resistivity correction device as described above is provided. The device includes: an external temperature sensor, an internal temperature sensor, an external well pressure sensor, an external mud resistivity sensor, and an internal working circuit. The internal working circuit includes: a driving and calculation circuit, a temperature and pressure linearization circuit, an acquisition adaptive circuit, a communication circuit, and a power supply circuit. The method includes: The temperature change of the mud flowing over the surface of the device is obtained by an external temperature sensor, and the temperature change of the internal working circuit of the device is obtained by an internal temperature sensor. The well pressure is obtained by an external well pressure sensor, and the voltage difference generated by the current flowing through the mud is obtained by an external mud resistivity sensor using four sets of ring electrodes. The external mud resistivity sensor is driven by the driving and calculation circuit, and the mud resistivity measurement value is calculated based on the transmitted current and the voltage difference obtained by the external mud resistivity sensor. The information output from the external temperature sensor, internal temperature sensor, and external well pressure sensor is processed by temperature and pressure linearization circuits to obtain external temperature information parameters, internal temperature information parameters, and external pressure information parameters. By acquiring adaptive circuitry, the measured values ​​of mud resistivity are corrected and calculated based on external temperature information parameters, internal temperature information parameters, and external pressure information parameters, to obtain the target engineering value of mud resistivity.

[0017] According to another aspect of the embodiments of this application, a computing device is provided, including: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other through the communication bus; The memory is used to store at least one executable instruction that causes the processor to perform the operation corresponding to the temperature and pressure adaptive mud resistivity correction method described above.

[0018] According to another aspect of the embodiments of this application, a computer storage medium is provided, wherein at least one executable instruction is stored in the storage medium, the executable instruction causing a processor to perform operations corresponding to the above-described temperature and pressure-adaptive mud resistivity correction method.

[0019] According to another aspect of the embodiments of this application, a computer program product is provided, including at least one executable instruction that causes a processor to perform operations corresponding to the above-described temperature and pressure-adaptive mud resistivity correction method.

[0020] According to the temperature and pressure adaptive mud resistivity correction device and method provided in the embodiments of this application, the device is equipped with two sets of temperature sensors, one set of external well pressure sensors, and one set of external mud resistivity sensors. This device can be applied to the measurement and correction of oil-based and water-based mud resistivity parameters in open-hole well logging. It has an adaptive mechanism for high-temperature and high-pressure environments, and can automatically determine the corresponding correction parameters and mathematical calculation models according to temperature and pressure changes. It performs adaptive correction from both temperature and pressure aspects, improves the temperature and pressure characteristics of the device, and thus significantly reduces the influence of external environmental factors such as temperature and pressure on the engineering value of mud resistivity, reduces mud resistivity measurement errors, effectively obtains the true value of formation mud resistivity, improves measurement accuracy, ensures the accuracy of logging data interpretation, and provides reliable and necessary information for logging data processing and comprehensive interpretation.

[0021] The above description is merely an overview of the technical solutions of the embodiments of this application. In order to better understand the technical means of the embodiments of this application and to implement them in accordance with the contents of the specification, and to make the above and other objects, features and advantages of the embodiments of this application more obvious and understandable, specific implementation methods of the embodiments of this application are described below. Attached Figure Description

[0022] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the embodiments of this application. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings: Figure 1 A structural block diagram of a mud resistivity correction device based on temperature and pressure adaptation according to an embodiment of this application is shown; Figure 2 A schematic diagram of the external structure of a mud resistivity correction device based on temperature and pressure adaptation is shown. Figure 3 A schematic diagram of the internal structure of a mud resistivity correction device based on temperature and pressure adaptation is shown. Figure 4 A comparative diagram showing the adaptive calibration before and after application in a high-temperature environment is presented. Figure 5 A comparative schematic diagram showing the adaptive correction before and after application under high pressure conditions is presented. Figure 6 A schematic flowchart of a temperature and pressure-adaptive mud resistivity correction method according to an embodiment of this application is shown. Figure 7 A schematic diagram of the structure of a computing device according to an embodiment of this application is shown. Detailed Implementation

[0023] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0024] During well logging operations, as drilling depth increases, wellbore temperature and pressure parameters rise. This application proposes a temperature and pressure adaptive mud resistivity correction device and method. The device includes two sets of temperature sensors, one set of external well pressure sensors, and one set of external mud resistivity sensors. The temperature sensors are divided into two stages: an external temperature sensor and an internal temperature sensor. This device can accurately obtain the engineering value of mud resistivity, and is particularly suitable for ultra-high temperature and high pressure wells. During logging, the device can adaptively correct for both temperature and pressure, improving its temperature and pressure characteristics. This significantly reduces the impact of external environmental factors on the measured mud resistivity, effectively obtaining the true value of formation mud resistivity, and providing necessary information for logging data processing and comprehensive interpretation.

[0025] Figure 1 A structural block diagram of a temperature and pressure-adaptive mud resistivity correction device according to an embodiment of this application is shown, as follows: Figure 1 As shown, the device includes: an external temperature sensor 101, an internal temperature sensor 102, an external well pressure sensor 103, an external mud resistivity sensor 104, and an internal working circuit.

[0026] External temperature sensor 101 is used to acquire the temperature change of the surface over which the mud flows on the device, i.e., the change in external temperature or well mud temperature. Internal temperature sensor 102 is used to acquire the temperature change of the internal working circuit of the device, i.e., the change in internal temperature. External well pressure sensor 103 is used to acquire the well mud pressure. External mud resistivity sensor 104 is used to acquire the voltage difference generated by the current flowing through the mud using four sets of ring electrodes, and then to calculate the mud resistivity. In this embodiment, the environmental information used for correction includes external temperature, internal temperature, and well mud pressure. This multi-path acquisition of environmental information comprehensively considers multiple influencing factors from both the external and internal environments, unlike the singular correction method used in existing mud resistivity testing devices.

[0027] The internal working circuit includes: a drive and calculation circuit, a temperature and pressure linearization circuit 109, an acquisition and adaptive circuit 110, a communication circuit 111, and a power supply circuit 112.

[0028] The driving and calculation circuit is a working circuit related to the external mud resistivity sensor 104. The driving and calculation circuit is used to: drive the external mud resistivity sensor 104 to work, and calculate the mud resistivity measurement value based on the emitted current and the voltage difference obtained by the external mud resistivity sensor 104.

[0029] Specifically, the driving and calculation circuit includes: a phase-shift oscillation circuit 105, a current driving circuit 106, a filter amplification circuit 107, and a phase-sensitive detection circuit 108. The external mud resistivity sensor 104 acquires current and voltage information through four sets of ring electrodes. The ring electrodes include inner and outer ring transmitting electrodes and two receiving electrodes. The phase-shift oscillation circuit 105 generates a transmitting signal, which, after being driven by the current driving circuit 106, flows into the mud through the inner and outer ring transmitting electrodes. The receiving electrodes are located between the inner and outer ring transmitting electrodes. When current flows through the mud, a voltage difference is generated on the two receiving electrodes. Considering that this voltage difference signal is very weak, a filter amplification circuit 107 is also provided to extract this weak voltage difference. The phase-sensitive detection circuit 108, through phase detection, extracts the resistive component in phase with the current in the voltage difference, eliminates reactive interference, and then, based on the transmitted current and the acquired voltage difference, can calculate the mud resistivity measurement value.

[0030] The temperature and pressure linearization circuit 109 is used to: process the information output by the external temperature sensor 101 to obtain external temperature information parameters, process the information output by the internal temperature sensor 102 to obtain internal temperature information parameters, and process the information output by the external well pressure sensor 103 to obtain external pressure information parameters.

[0031] The temperature and pressure linearization circuit 109 can filter and reduce noise from the information output by the external temperature sensor 101, the internal temperature sensor 102, and the external well pressure sensor 103 to obtain external temperature information parameters, internal temperature information parameters, and external pressure information parameters.

[0032] Specifically, the extraction of external temperature information parameters is achieved through external temperature sensor 101 and temperature and pressure linearization circuit 109. External temperature information parameters refer to the dynamic change information of external temperature with logging depth, which can directly affect the mud resistivity measurement value.

[0033] The extraction of internal temperature information parameters is achieved through the internal temperature sensor 102 and the temperature and pressure linearization circuit 109. The internal temperature information parameters refer to the temperature change information of the internal working circuit of the device. During the actual use of the device, the temperature of the mud outside the device will be conducted to the internal working circuit. Under this influence, the electronic components of the internal working circuit will experience a certain temperature drift. The drift can be reflected in multiple aspects such as offset voltage, circuit noise, resistance value, and capacitance value. This influence occurs through multiple paths within the same temperature environment.

[0034] The extraction of external pressure information parameters is achieved through an external well pressure sensor 103 and a temperature and pressure linearization circuit 109. External pressure information parameters refer to the changes in mud pressure within the well. The strain gauge in the external well pressure sensor 103 can sense the mud pressure inside the wellbore. Under pressure, the strain gauge generates a resistance difference. Utilizing this characteristic, the changing resistance value is converted into a voltage value, which is then collected and processed by the temperature and pressure linearization circuit 109 to obtain accurate external pressure information parameters.

[0035] The adaptive acquisition circuit 110 is used to: correct the mud resistivity measurement values ​​obtained from the drive and calculation circuits based on external temperature, internal temperature, and external pressure information parameters, thereby obtaining the target mud resistivity engineering value. Under harsh conditions of high temperature and high pressure, the adaptive correction method reduces the measurement error of mud resistivity parameters. The target mud resistivity engineering value obtained after correction calculation can be used for wellbore environment analysis, effectively solving the influence of temperature and pressure on the mud resistivity engineering value, and providing reliable data support for the analysis and interpretation of logging curves by resistivity imaging instruments.

[0036] The communication circuit 111 is used to communicate with external devices, such as initiating the measurement and correction of mud resistivity according to the instructions of the external devices, and transmitting the target mud resistivity engineering value to the external devices. The power supply circuit 112 is used to provide power to the drive and calculation circuit, the temperature and pressure linearization circuit 109, the acquisition adaptive circuit 110, and the communication circuit 111.

[0037] In this embodiment of the application, the device includes a pressure-bearing housing, and an external temperature sensor 101, an external well pressure sensor 103, and an external mud resistivity sensor 104 are compactly mounted on the external surface of the device using a pressure-bearing structure, that is, mounted on the external surface of the pressure-bearing housing of the device; an internal printed circuit board is provided inside the pressure-bearing housing, and the internal temperature sensor 102 and the internal working circuit are mounted on the internal printed circuit board of the device.

[0038] Figure 2 A schematic diagram of the external structure of a mud resistivity correction device based on temperature and pressure adaptation is shown, as follows: Figure 2 As shown, during well logging, the device is placed in the well containing drilling mud. An external temperature sensor 101, an external well pressure sensor 103, and an external mud resistivity sensor 104 are compactly mounted on the external surface of the device using a pressure-bearing structure. The external temperature sensor 101 is mounted at a 45° angle on the external surface to ensure full contact with the mud surface and obtain effective external temperature parameters. The external well pressure sensor 103 is radially mounted on the external surface. The strain gauge in the external well pressure sensor 103 senses the mud pressure inside the wellbore. The sensed information is processed by a temperature and pressure linearization circuit to obtain effective external pressure parameters. An external mud resistivity sensor 104 is mounted vertically at a 90° angle on the outer surface of the device. Current and voltage information are acquired through four sets of ring electrodes. The transmitted signal is generated by a phase-shift oscillating circuit, and after being driven, flows into the mud through the inner and outer ring transmitting electrodes. The receiving electrode is located between the inner and outer ring transmitting electrodes. When current flows through the mud, a voltage difference is generated between the two receiving electrodes. The ratio of the received voltage difference to the transmitted current is linearly related to the mud resistivity value, thus achieving the measurement of mud resistivity. These external sensors employ a special absolute pressure-bearing structure, and the compact installation method greatly reduces the overall device length, shortening the connection paths between circuits and sensors. This differs from the pressure-balancing structure and segmented structure with long connection paths in existing mud resistivity testing devices.

[0039] Figure 3 A schematic diagram of the internal structure of a temperature and pressure-adaptive mud resistivity correction device is shown, as follows: Figure 3 As shown, the internal temperature sensor 102 is mounted on the internal printed circuit board of the device by soldering, with the sensing surface fully exposed to the air. In conjunction with the temperature and pressure linearization circuit, effective internal temperature information parameters can be obtained.

[0040] In this embodiment, the adaptive acquisition circuit is further used to: determine a mathematical calculation model between mud resistivity and temperature and pressure based on external temperature information parameters, internal temperature information parameters and external pressure information parameters; use the mathematical calculation model to correct the mud resistivity measurement value to obtain the corrected mud resistivity value; and then use the LMS algorithm to filter the corrected mud resistivity value to obtain the target mud resistivity engineering value.

[0041] To facilitate temperature and pressure-adaptive mud resistivity correction, a mathematical calculation model relating mud resistivity to temperature and pressure was pre-established. This mathematical model includes: a first calculation model corresponding to external temperature parameters, a second calculation model corresponding to internal temperature parameters, and a third calculation model corresponding to external pressure parameters.

[0042] In the adaptive correction process based on external temperature information parameters, the extraction of external temperature information parameters is achieved through an external temperature sensor and a temperature and pressure linearization circuit. The expected resistivity value is obtained based on laboratory experimental data. The first calculation model uses standard NaCl solutions with different resistivities to simulate mud solutions with different resistivities. The standard NaCl solutions with different resistivities are heated using a heating device. The calculation model between mud resistivity and external temperature is established based on the resistivity change data recorded under different temperature environments during the experiment. Specifically, the experiment uses standard NaCl solutions to simulate mud solutions. The standard NaCl solutions are heated using a heating device, with the temperature gradually increasing in steps of 30℃, varying between 30℃ and 175℃. Four standard NaCl solutions with resistivities of 0.04Ω•m, 0.1Ω•m, 1Ω•m, and 10Ω•m are selected for the experiment. The resistivity change data of the four standard NaCl solutions under different temperature environments are recorded. Based on the experimental data, a calculation model between mud resistivity and external temperature is established, i.e., the first calculation model is established.

[0043] In the adaptive correction process based on external pressure information parameters, the extraction of external pressure information parameters is achieved through an external well pressure sensor and a temperature and pressure linearization circuit. The expected resistivity value is obtained based on laboratory test data. The third calculation model uses standard NaCl solutions with different resistivities to simulate mud solutions with different resistivities. A piston-type pressure gauge is used to pressurize the standard NaCl solutions with different resistivities. The calculation model between mud resistivity and pressure is established based on the resistivity change data recorded under different pressure environments during the experiment. Specifically, the experiment uses standard NaCl solutions to simulate mud solutions. A piston-type pressure gauge is used to pressurize the standard NaCl solutions, with the pressure increasing in 10 MPa increments, varying between 0 MPa and 100 MPa. Four standard NaCl solutions with resistivities of 0.04 Ω•m, 0.1 Ω•m, 1 Ω•m, and 10 Ω•m are selected for the experiment. The resistivity change data of the four standard NaCl solutions under different pressure environments are recorded. Based on the experimental data, a calculation model between mud resistivity and pressure is established, i.e., the third calculation model.

[0044] The influence of external environmental factors, namely temperature and pressure, is dynamic, and there is a certain correlation between environmental variables and the expected value of mud resistivity. Firstly, a chi-square test can be used to statistically analyze the data characteristics to determine whether a significant relationship exists between mud resistivity and the environment. The chi-square (x... 2 The formula for the statistic is:

[0045]

[0046] Analysis of laboratory test data shows that temperature, pressure environment and mud resistivity are closely related.

[0047] Next, the correlation between temperature and mud resistivity, and between pressure (i.e., in-well mud pressure) and mud resistivity test data were analyzed using the Pearson correlation coefficient. The calculation formula is as follows:

[0048] Where r represents the Pearson correlation coefficient; and Let X and Y represent the data of the i-th sample point, respectively. This represents the sample mean of variable X; X represents the sample mean of variable Y. When analyzing the correlation between temperature and mud resistivity, variables X and Y are specifically temperature and mud resistivity, respectively; when analyzing the correlation between pressure and mud resistivity, variables X and Y are specifically pressure and mud resistivity, respectively.

[0049] The above calculations show that the Pearson correlation coefficient between temperature and mud resistivity is 0.961, and the Pearson correlation coefficient between pressure and mud resistivity is 0.965, indicating that the two environmental variables of external temperature and pressure are linearly correlated with the mud resistivity value.

[0050] Data preprocessing is performed based on data correlation statistical analysis. The preprocessed data is then standardized, and temperature and pressure values ​​are selected as independent variables. The least squares method is used to fit the data, thereby obtaining an effective regression calculation model and eliminating the influencing factors caused by dynamic environmental changes.

[0051] In the adaptive correction process based on internal temperature information parameters, the extraction of these parameters is achieved through an internal temperature sensor and a temperature and pressure linearization circuit. The influence of multiple paths exists at different temperature points, but the result is solely determined by the mud resistivity value. The second calculation model corresponding to the internal temperature information parameters needs to comprehensively consider the temperature drift throughout the entire circuit operation. Due to differences in noise, slew rate, and other aspects, the uncertainty of the parameters requires personalized correction parameters for different devices. The second calculation model includes polynomial fitting equations, which are generated by performing temperature tests on the device using a high-temperature drying oven and a simulated resistivity network, based on standard resistivity values ​​and the internal temperature and resistivity values ​​recorded during the test. Specifically, the device is tested using a high-temperature drying oven and a simulated resistivity network, with the temperature increasing in 30°C increments. Temperature and resistivity values ​​are recorded during the increase, and combined with standard values ​​to generate a set of polynomial fitting equations, from which the expected standard mud resistivity value is derived.

[0052] In this embodiment, the data processing flow encompasses the preprocessing (including filtering, noise reduction, and statistical analysis) of the information output from the acquired external temperature sensor, internal temperature sensor, and external well pressure sensor, as well as how to apply the processed data to mud resistivity correction calculations. Information from the external temperature sensor, internal temperature sensor, and external well pressure sensor is acquired. Key sensor characteristic information is collected through temperature and pressure linearization circuits. After filtering and noise reduction, external temperature parameters, internal temperature parameters, and external pressure parameters are obtained. Based on the characteristics of these parameters, a corresponding mathematical calculation model is determined. The external temperature parameters, internal temperature parameters, and external pressure parameters are then statistically analyzed and preprocessed. Finally, corresponding correction parameters are generated according to a specific algorithm. These correction parameters are obtained by fitting experimental data, enabling more accurate correction of mud resistivity measurements based on actual conditions. This achieves adaptive correction of the mud resistivity engineering value, effectively improving the reliability and accuracy of the device, unlike the data processing and analysis flow in existing mud resistivity measurement technologies. The correction parameters include: external temperature correction parameters, internal temperature correction parameters, and pressure correction parameters.

[0053] Specifically, the adaptive acquisition circuit is further used to: generate external temperature correction parameters using the first calculation model and external temperature information parameters, and perform correction calculations on the mud resistivity measurement values ​​based on the external temperature correction parameters, thereby reducing the error between the expected and ideal values ​​using an algorithm; generate internal temperature correction parameters using the polynomial fitting equation in the second calculation model and internal temperature information parameters, and perform correction calculations on the mud resistivity measurement values ​​based on the internal temperature correction parameters; and generate pressure correction parameters using the third calculation model and external pressure information parameters, and perform correction calculations on the mud resistivity measurement values ​​based on the pressure correction parameters.

[0054] Next, the adaptive acquisition circuit uses the LMS algorithm to filter the corrected mud resistivity value, completing noise cancellation and signal equalization to obtain the target mud resistivity engineering value. The adaptive acquisition circuit is further used to: use the LMS algorithm to set initialization parameters based on historical data and relevant environmental information provided by the storage unit during each iteration. Specifically, during each iteration of the LMS algorithm, the storage unit can quickly provide historical data and relevant environmental information for reference during data processing to complete the setting of initialization parameters. This filtering method, combining historical data from the storage unit with the iterative algorithm, effectively improves the convergence speed and stability of the operation, exhibiting excellent filtering performance.

[0055] Optionally, the temperature and pressure linearization circuit is further used to: filter and reduce noise on the information output by the external temperature sensor, the internal temperature sensor, and the external well pressure sensor according to the preset priorities of the external temperature sensor, the internal temperature sensor, and the external well pressure sensor, so as to obtain external temperature information parameters, internal temperature information parameters, and external pressure information parameters.

[0056] Specifically, internal and external sensors can work collaboratively with data processing and calibration calculations according to a preset priority and threshold change mechanism. Priorities can be pre-set for external temperature sensors, internal temperature sensors, and external well pressure sensors based on the importance of external temperature parameters, internal temperature parameters, and external pressure parameters in the calibration calculations. Sensor data required for adaptive calibration is then transmitted to the circuits involved in data processing (e.g., temperature and pressure linearization circuits, adaptive acquisition circuits) according to the preset priority. This allows the circuits involved in data processing to immediately initiate the data processing flow for that data and rationally allocate computing resources based on the importance of the data in the calibration calculations, thereby improving the device's response speed and calibration accuracy to changes in key data.

[0057] To facilitate verification of the device's effectiveness, the calculations of the aforementioned external temperature, internal temperature, and external pressure parameters can be performed in a time-sharing manner. The device was tested using a high-temperature, high-pressure reactor to simulate the wellbore environment, with the test environment divided into three groups: high-temperature environment, high-pressure environment, and high-temperature, high-pressure environment. Figure 4 and Figure 5 The diagrams show a comparison of adaptive correction before and after application under high temperature and high pressure conditions, respectively. Figure 4 The blue and orange dots in the diagram represent the data of the sample points before and after temperature correction in the experiment, respectively. The blue and orange dotted lines represent the polynomial curves corresponding to the mud resistivity obtained by fitting the experimental data before and after temperature correction, respectively. Figure 5 The blue and orange dots in the diagram represent the data of sample points before and after pressure correction in the experiment, respectively. The blue and orange dotted lines represent the polynomial curves corresponding to the mud resistivity obtained by fitting the experimental data before and after pressure correction, respectively. Experiments have proven that the temperature and pressure adaptive mud resistivity correction device provided in this application embodiment can perform accurate measurements in an environment of 175 degrees Celsius and 140 MPa.

[0058] According to the temperature and pressure adaptive mud resistivity correction device provided in this application embodiment, the device is equipped with two sets of temperature sensors, one set of external well pressure sensors, and one set of external mud resistivity sensors. This device can be applied to the measurement and correction of oil-based and water-based mud resistivity parameters in open-hole well logging. It has an adaptive mechanism for high-temperature and high-pressure environments, and can automatically determine the corresponding correction parameters and mathematical calculation models according to temperature and pressure changes. It performs adaptive correction from both temperature and pressure aspects, improving the temperature and pressure characteristics of the device. This significantly reduces the impact of external environmental factors such as temperature and pressure on the engineering value of mud resistivity, reduces mud resistivity measurement errors, effectively obtains the true value of formation mud resistivity, improves measurement accuracy, ensures the accuracy of logging data interpretation, and provides reliable and necessary information for logging data processing and comprehensive interpretation.

[0059] Figure 6 A schematic flowchart of a temperature and pressure-adaptive mud resistivity correction method according to an embodiment of this application is shown, as follows: Figure 6 As shown, the method includes the following steps: Step S601: The temperature change of the mud flow surface on the device is obtained by an external temperature sensor, and the temperature change of the internal working circuit of the device is obtained by an internal temperature sensor.

[0060] Step S602: Obtain the mud pressure inside the well through an external well pressure sensor, and obtain the voltage difference generated by the current flowing through the mud through an external mud resistivity sensor using four sets of ring electrodes.

[0061] Step S603: Drive the external mud resistivity sensor to work through the driving and calculation circuit, and calculate the mud resistivity measurement value based on the emitted current and the voltage difference obtained by the external mud resistivity sensor.

[0062] Step S604: The information output by the external temperature sensor, internal temperature sensor and external well pressure sensor is processed by the temperature and pressure linearization circuit to obtain external temperature information parameters, internal temperature information parameters and external pressure information parameters.

[0063] Step S605: The adaptive circuit is used to correct and calculate the measured value of mud resistivity based on external temperature information parameters, internal temperature information parameters, and external pressure information parameters to obtain the target engineering value of mud resistivity.

[0064] The descriptions of the above steps refer to the corresponding descriptions in the device embodiments, and will not be repeated here.

[0065] According to the temperature and pressure adaptive mud resistivity correction method provided in this application embodiment, the device is equipped with two sets of temperature sensors, one set of external well pressure sensors, and one set of external mud resistivity sensors. This device can be applied to the measurement and correction of oil-based and water-based mud resistivity parameters in open-hole well logging. It has an adaptive mechanism for high-temperature and high-pressure environments, and can automatically determine the corresponding correction parameters and mathematical calculation models according to temperature and pressure changes. It performs adaptive correction from both temperature and pressure aspects, improving the temperature and pressure characteristics of the device. This significantly reduces the influence of external environmental factors such as temperature and pressure on the engineering value of mud resistivity, reduces mud resistivity measurement errors, effectively obtains the true value of formation mud resistivity, improves measurement accuracy, ensures the accuracy of logging data interpretation, and provides reliable and necessary information for logging data processing and comprehensive interpretation.

[0066] This application provides a non-volatile computer storage medium storing at least one executable instruction or computer program that enables a processor to perform the operation corresponding to the temperature and pressure adaptive mud resistivity correction method in any of the above method embodiments.

[0067] This application provides a computer program product, which includes at least one executable instruction or computer program that enables a processor to perform the operation corresponding to the temperature and pressure adaptive mud resistivity correction method in any of the above method embodiments.

[0068] Figure 7The diagram shows a structural schematic of a computing device according to one embodiment of the present application. The specific embodiments of the present application do not limit the specific implementation of the computing device.

[0069] like Figure 7 As shown, the computing device may include: a processor 702, a communications interface 704, a memory 706, and a communications bus 708.

[0070] The processor 702, communication interface 704, and memory 706 communicate with each other via communication bus 708. Communication interface 704 is used to communicate with other network elements, such as clients or other servers. Processor 702 executes program 710, specifically performing the relevant steps in the above-described embodiment of the temperature and pressure adaptive mud resistivity correction method for calculating the device.

[0071] Specifically, program 710 may include program code that includes computer operation instructions.

[0072] The processor 702 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application. The computing device includes one or more processors, which may be processors of the same type, such as one or more CPUs; or processors of different types, such as one or more CPUs and one or more ASICs.

[0073] Memory 706 is used to store program 710. Memory 706 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0074] Specifically, program 710 can be used to cause processor 702 to execute the temperature and pressure adaptive mud resistivity correction method in any of the above method embodiments. The specific implementation of each step in program 710 can be found in the corresponding descriptions of the steps and units in the above-described temperature and pressure adaptive mud resistivity correction embodiments, and will not be repeated here. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the above-described equipment and modules can be referred to the corresponding process descriptions in the foregoing method embodiments, and will not be repeated here.

[0075] The algorithms and displays provided herein are not inherently related to any particular computer, virtual system, or other device. Various general-purpose systems can also be used in conjunction with the teachings herein. The required structure for constructing such systems is apparent from the above description. Furthermore, the embodiments of this application are not directed to any particular programming language. It should be understood that the contents of the embodiments of this application described herein can be implemented using various programming languages, and the above description of specific languages ​​is for the purpose of disclosing the best implementation of the embodiments of this application.

[0076] Numerous specific details are set forth in the specification provided herein. However, it will be understood that embodiments of this application may be practiced without these specific details. In some instances, well-known methods, structures, and techniques have not been shown in detail so as not to obscure the understanding of this specification.

[0077] Similarly, it should be understood that, in order to simplify this disclosure and aid in understanding one or more of the various inventive aspects, in the foregoing description of exemplary embodiments of the present application, various features of the present application embodiments are sometimes grouped together into a single embodiment, figure, or description thereof. However, this approach to disclosure should not be construed as reflecting an intention that the claimed embodiments of the present application require more features than expressly recited in each claim. Rather, as reflected in the following claims, inventive aspects lie in fewer than all features of a single foregoing disclosed embodiment. Therefore, the claims following the detailed description are hereby expressly incorporated into that detailed description, wherein each claim itself is a separate embodiment of the present application.

[0078] Those skilled in the art will understand that modules in the device of the embodiments can be adaptively changed and placed in one or more devices different from that embodiment. Modules, units, or components in the embodiments can be combined into a single module, unit, or component, and further, they can be divided into multiple sub-modules, sub-units, or sub-components. Except where at least some of such features and / or processes or units are mutually exclusive, any combination can be used to combine all features disclosed in this specification (including the accompanying claims, abstract, and drawings) and all processes or units of any method or device so disclosed. Unless expressly stated otherwise, each feature disclosed in this specification (including the accompanying claims, abstract, and drawings) may be replaced by an alternative feature that serves the same, equivalent, or similar purpose.

[0079] Furthermore, those skilled in the art will understand that although some embodiments described herein include certain features but not others included in other embodiments, combinations of features from different embodiments are meant to be within the scope of the embodiments of this application and form different embodiments. For example, in the following claims, any one of the claimed embodiments can be used in any combination.

[0080] The various component embodiments of this application can be implemented in hardware, or as software modules running on one or more processors, or a combination thereof. Those skilled in the art will understand that microprocessors or digital signal processors (DSPs) can be used in practice to implement some or all of the functions of some or all of the components according to the embodiments of this application. The embodiments of this application can also be implemented as device or apparatus programs (e.g., computer programs and computer program products) for performing part or all of the methods described herein. Such programs implementing the embodiments of this application can be stored on a computer-readable medium, or can be in the form of one or more signals. Such signals can be downloaded from an Internet website, provided on a carrier signal, or provided in any other form.

[0081] It should be noted that the above embodiments are illustrative of the embodiments of this application and not limiting of the embodiments of this application, and those skilled in the art can devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses should not be construed as limiting the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. Embodiments of this application can be implemented by means of hardware comprising several different elements and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third, etc., does not indicate any order. These words can be interpreted as names.

Claims

1. A mud resistivity correction device based on temperature and pressure adaptation, characterized in that, The device includes: an external temperature sensor, an internal temperature sensor, an external well pressure sensor, an external mud resistivity sensor, and an internal working circuit. The external temperature sensor is used to: acquire the temperature change of the surface through which the mud flows on the device. The internal temperature sensor is used to: acquire the temperature changes of the internal working circuit of the device; The external well pressure sensor is used to: acquire the well mud pressure; The external mud resistivity sensor is used to: acquire the voltage difference generated by the current flowing through the mud using four sets of ring electrodes; The internal operating circuitry includes: a drive and calculation circuit, a temperature and pressure linearization circuit, an acquisition and adaptive circuit, a communication circuit, and a power supply circuit. The driving and calculation circuit is used to: drive the external mud resistivity sensor to work, and calculate the mud resistivity measurement value based on the emitted current and the voltage difference obtained by the external mud resistivity sensor. The temperature and pressure linearization circuit is used to: process the information output by the external temperature sensor to obtain external temperature information parameters, process the information output by the internal temperature sensor to obtain internal temperature information parameters, and process the information output by the external well pressure sensor to obtain external pressure information parameters. The adaptive acquisition circuit is used to: correct and calculate the measured value of mud resistivity based on the external temperature information parameters, the internal temperature information parameters, and the external pressure information parameters, so as to obtain the target engineering value of mud resistivity.

2. The apparatus according to claim 1, characterized in that, The external temperature sensor, the external well pressure sensor, and the external mud resistivity sensor are compactly mounted on the external surface of the device using a pressure-bearing structure, while the internal temperature sensor and the internal working circuit are mounted on the internal printed circuit board of the device.

3. The apparatus according to claim 1, characterized in that, The driving and solving circuit includes: a phase-shift oscillator circuit, a current driving circuit, a filter amplification circuit, and a phase-sensitive detection circuit.

4. The apparatus according to claim 1, characterized in that, The adaptive acquisition circuit is further used for: Based on the external temperature information parameters, the internal temperature information parameters, and the external pressure information parameters, a mathematical calculation model is determined for the relationship between mud resistivity and temperature and pressure. The measured mud resistivity value is then corrected using the mathematical calculation model to obtain the corrected mud resistivity value. The corrected mud resistivity value is filtered using the LMS algorithm to obtain the target mud resistivity engineering value.

5. The apparatus according to claim 4, characterized in that, The mathematical calculation model includes: a first calculation model corresponding to the external temperature information parameters, a second calculation model corresponding to the internal temperature information parameters, and a third calculation model corresponding to the external pressure information parameters; The adaptive acquisition circuit is further used for: External temperature correction parameters are generated using the first calculation model and the external temperature information parameters, and the mud resistivity measurement value is corrected and calculated based on the external temperature correction parameters. An internal temperature correction parameter is generated using the polynomial fitting equation in the second calculation model and the internal temperature information parameter. The mud resistivity measurement value is then corrected based on the internal temperature correction parameter. Pressure correction parameters are generated using the third calculation model and the external pressure information parameters, and the mud resistivity measurement value is corrected based on the pressure correction parameters.

6. The apparatus according to claim 5, characterized in that, The first calculation model simulates mud solutions with different resistivities using standard NaCl solutions with different resistivities. The standard NaCl solutions with different resistivities are heated using a heating device. The calculation model between mud resistivity and external temperature is established based on the resistivity change data recorded during the experiment under different temperature conditions. The polynomial fitting equation in the second calculation model is generated by performing temperature tests on the device using a high-temperature drying oven and a simulated resistivity network, and is fitted based on the standard resistivity value and the internal temperature and resistivity values ​​recorded during the test. The third calculation model uses standard NaCl solutions with different resistivities to simulate mud solutions with different resistivities. A piston-type pressure gauge is used to pressurize the standard NaCl solutions with different resistivities. The calculation model between mud resistivity and pressure is established based on the resistivity change data recorded under different pressure conditions during the experiment.

7. The apparatus according to claim 4, characterized in that, The adaptive acquisition circuit is further used for: The LMS algorithm is used to set initialization parameters at each iteration based on historical data and relevant environmental information provided by the storage unit.

8. The apparatus according to claim 1, characterized in that, The temperature and pressure linearization circuit is further used for: Based on the preset priorities of the external temperature sensor, the internal temperature sensor, and the external well pressure sensor, the information output by the external temperature sensor, the internal temperature sensor, and the external well pressure sensor is filtered and noise-reduced to obtain the external temperature information parameters, the internal temperature information parameters, and the external pressure information parameters.

9. The apparatus according to any one of claims 1-8, characterized in that, The communication circuit is used for: communicating with external devices; The power supply circuit is used to provide power to the drive and calculation circuit, the temperature and pressure linearization circuit, the acquisition adaptive circuit, and the communication circuit.

10. A correction method for a temperature and pressure adaptive mud resistivity correction device as described in any one of claims 1-9, characterized in that, The device includes: an external temperature sensor, an internal temperature sensor, an external well pressure sensor, an external mud resistivity sensor, and an internal working circuit. The internal working circuit includes: a drive and calculation circuit, a temperature and pressure linearization circuit, an adaptive acquisition circuit, a communication circuit, and a power supply circuit. The method includes: The temperature change of the mud flowing over the surface of the device is obtained by the external temperature sensor, and the temperature change of the internal working circuit of the device is obtained by the internal temperature sensor. The well pressure is obtained by the external well pressure sensor, and the voltage difference generated by the current flowing through the mud is obtained by the external mud resistivity sensor using four sets of ring electrodes. The external mud resistivity sensor is driven by the driving and calculation circuit, and the mud resistivity measurement value is calculated based on the emitted current and the voltage difference obtained by the external mud resistivity sensor. The temperature and pressure linearization circuit processes the information output by the external temperature sensor, the internal temperature sensor, and the external well pressure sensor to obtain external temperature information parameters, internal temperature information parameters, and external pressure information parameters, respectively. The adaptive acquisition circuit uses the external temperature information parameters, the internal temperature information parameters, and the external pressure information parameters to correct and calculate the measured value of mud resistivity, thereby obtaining the target engineering value of mud resistivity.

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