Well seismic calibration method, device, equipment and storage medium for wells without acoustic wave curve

By obtaining the first acoustic wave time difference curve of the adjacent well and the reference curve of the silent wave curve well, multivariate linear fitting processing is performed to obtain the second acoustic wave time difference curve of the silent wave curve well, solving the problem of missing acoustic wave curve in well seismic calibration, and achieving efficient and accurate well seismic calibration.

CN114624772BActive Publication Date: 2025-04-25PETROCHINA CO LTD
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Patent Information

Application Number
CN202011439612.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2020-12-10
Publication Date
2025-04-25
Estimated Expiration
2040-12-10

AI Technical Summary

Technical Problem

In the process of well seismic calibration, when the sound wave curve is missing, it is difficult for the prior art to perform accurate well seismic calibration, especially in the absence of necessary basic data.

Method used

By obtaining the first acoustic wave time difference curve of the adjacent well of the silent wave curve well, and establishing a response relationship equation with the reference curve of the silent wave curve well, performing multivariate linear fitting processing to obtain the second acoustic wave time difference curve of the silent wave curve well, and then performing well seismic calibration.

Benefits of technology

In the absence of sound wave curve and basic data, accurate well seismic calibration of silent wave curve wells is achieved, which improves the efficiency and accuracy of well seismic calibration.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application provides a method, device, equipment and storage medium for well seismic calibration of a well without an acoustic wave curve. In the method, the first acoustic wave time difference curve of the adjacent well of the well without an acoustic wave curve to be calibrated and the reference curve of the well without an acoustic wave curve are obtained. A response relationship equation is established between the reference curve and the first acoustic wave time difference curve, and a multivariate linear fitting process is performed to obtain a second acoustic wave time difference curve of the well without an acoustic wave curve. Finally, based on the second acoustic wave time difference curve, the well seismic calibration of the well without an acoustic wave curve is performed. In the technical solution, by obtaining the first acoustic wave time difference curve of the reference curve and the adjacent well, and performing a multivariate linear fitting process, the well seismic calibration of the well without an acoustic wave curve is achieved, and the efficiency of the well seismic calibration is improved.
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Description

Technical Field

[0001] The present application relates to the field of well logging technology, and in particular to a well seismic calibration method, device, equipment and storage medium for a well without an acoustic wave curve. Background Art

[0002] Acoustic logging data records the propagation time of sound waves in the formation, reflecting the porosity and wave impedance characteristics of the formation, which is consistent with seismic data in reflecting the true properties of the formation. Seismic data has the characteristics of wide range and good continuity in the horizontal direction, can track and predict the formation horizontally, and has high vertical resolution. Therefore, combining acoustic logging data with wellside seismic data and applying them to seismic exploration has become a necessary and commonly used technical means.

[0003] In the process of well seismic calibration, the acoustic wave curve is often missing. Usually, the well will be abandoned in well seismic calibration and reservoir inversion. With the development of logging technology, the common solution to this situation is to use rock physics modeling.

[0004] However, in the existing technology, this modeling method requires a large amount of basic data such as core analysis, pressure-volume-temperature analysis (PVT), volume composition, water saturation, porosity, etc., and the economic and time costs are high. If these data are missing, this method will not be applicable to solving the well seismic calibration problem of wells without acoustic time difference curves. Summary of the invention

[0005] The present application provides a well seismic calibration method, device, equipment and storage medium for a well without an acoustic wave curve, which is used to solve the problem that well seismic calibration cannot be performed for a well without an acoustic wave time difference curve and lacking necessary basic data.

[0006] In a first aspect, an embodiment of the present application provides a well seismic calibration method for a well without an acoustic wave curve, comprising:

[0007] Obtaining a first acoustic wave time difference curve of an adjacent well of a well without an acoustic wave curve to be calibrated, wherein the distance between the adjacent well and the well without an acoustic wave curve is less than a preset value and the features are the same;

[0008] Obtaining a reference curve of the soundless curve well;

[0009] Establishing a response relationship equation between the reference curve and the first acoustic wave time difference curve, and performing multivariate linear fitting processing to obtain a second acoustic wave time difference curve of the well without acoustic wave curve;

[0010] According to the second acoustic wave time difference curve, the well seismic calibration is performed on the well without acoustic wave curve.

[0011] In a possible design of the first aspect, the step of obtaining a first acoustic wave time difference curve of an adjacent well of a well without an acoustic wave curve to be calibrated includes:

[0012] According to the characteristics of the silent wave curve well, a well logging which is less than the preset distance from the silent wave curve well and has the same characteristics as the adjacent well is selected;

[0013] Selecting a sample layer section from the well sections in the adjacent wells that meet the preset wellbore conditions, wherein the sample layer section ranges from 2 meters to 10 meters;

[0014] The first acoustic wave time difference curve is determined according to a plurality of sample points obtained from the sample layer segment.

[0015] In this possible design, the method further includes:

[0016] A plurality of sample points are obtained from the sample layer segment, the number of the plurality of sample points ranges from 20 to 80, and the types of lithology and fluidity of the plurality of sample points are similar to the partial well section data of the acoustic wave curve well.

[0017] Optionally, the deposition environment and compaction degree of the soundless curve well and the adjacent well are the same.

[0018] Optionally, the reference curve is a natural gamma curve and / or a deep resistivity curve.

[0019] Optionally, the response relationship equation is: DT=a*GR+b*DEN+c*lg(RD)+N;

[0020] Wherein, DT represents acoustic time difference, GR represents natural gamma, DEN represents density, RD represents deep resistivity, and a, b, c and N are fitting constants.

[0021] In another possible design of the first aspect, the method further includes:

[0022] Obtaining the difference between the well-seismic calibration result obtained by using the second acoustic wave time difference curve and the measured seismic waveform;

[0023] If the difference is greater than a preset threshold, reselecting sample points from the adjacent wells to obtain a new first acoustic wave time difference curve;

[0024] A fitting process is performed based on the new first acoustic wave time difference curve and the reference curve to obtain a new second acoustic wave time difference curve.

[0025] In a second aspect, the present application provides a well seismic calibration device for a well without an acoustic wave curve, comprising: an acquisition module and a processing module;

[0026] The processing module is used to obtain a first acoustic wave time difference curve of an adjacent well of a well without an acoustic wave curve to be calibrated, wherein the distance between the adjacent well and the well without an acoustic wave curve is less than a preset value and the characteristics are the same;

[0027] The acquisition module is used to acquire the reference curve of the soundless curve well;

[0028] The processing module is further used to establish a response relationship equation between the reference curve and the first acoustic wave time difference curve, and perform multivariate linear fitting processing to obtain the second acoustic wave time difference curve of the well without acoustic wave curve;

[0029] The processing module is further used to perform well seismic calibration on the well without acoustic wave curve according to the second acoustic wave time difference curve.

[0030] In a possible design of the second aspect, the processing module is used to obtain the first acoustic wave time difference curve of the adjacent well of the well without acoustic wave curve to be calibrated, including:

[0031] According to the characteristics of the silent wave curve well, a well logging which is less than the preset distance from the silent wave curve well and has the same characteristics as the adjacent well is selected;

[0032] Selecting a sample layer section from the well sections in the adjacent wells that meet the preset wellbore conditions, wherein the sample layer section ranges from 2 meters to 10 meters;

[0033] The first acoustic wave time difference curve is determined according to a plurality of sample points obtained from the sample layer segment.

[0034] In this possible design, the processing module also includes obtaining multiple sample points from the sample layer segment, the number of the multiple sample points ranges from 20 to 80, and the lithology and fluidity types of the multiple sample points are similar to the partial well section data of the soundless curve well.

[0035] Optionally, the deposition environment and compaction degree of the soundless curve well and the adjacent well are the same.

[0036] Optionally, the reference curve is a natural gamma curve and / or a deep resistivity curve.

[0037] Optionally, the response relationship equation is: DT=a*GR+b*DEN+c*lg(RD)+N;

[0038] Wherein, DT represents acoustic time difference, GR represents natural gamma, DEN represents density, RD represents deep resistivity, and a, b, c and N are fitting constants.

[0039] In another possible design of the second aspect, the processing module is further used to:

[0040] Obtaining the difference between the well-seismic calibration result obtained by using the second acoustic wave time difference curve and the measured seismic waveform;

[0041] If the difference is greater than a preset threshold, reselecting sample points from the adjacent wells to obtain a new first acoustic wave time difference curve;

[0042] A fitting process is performed based on the new first acoustic wave time difference curve and the reference curve to obtain a new second acoustic wave time difference curve.

[0043] In a third aspect, an embodiment of the present application provides a computer device, including: a processor, a memory, and a transceiver;

[0044] The memory is used to store computer program instructions executable on the processor;

[0045] When the processor executes the computer program instructions, the method provided by the first aspect and various possible designs is implemented.

[0046] In a fourth aspect, an embodiment of the present application may provide a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the methods provided by the first aspect and various possible designs.

[0047] In a fifth aspect, an embodiment of the present application provides a program, which, when executed by a processor, is used to execute the method described in the first aspect.

[0048] In a sixth aspect, an embodiment of the present application provides a computer program product, including program instructions, and the program instructions are used to implement the method described in the first aspect.

[0049] The well seismic calibration method, device, equipment and storage medium for a well without an acoustic wave curve provided in an embodiment of the present application are performed by obtaining the first acoustic wave time difference curve of an adjacent well of the well without an acoustic wave curve to be calibrated, and the reference curve of the well without an acoustic wave curve. A response relationship equation is established between the reference curve and the first acoustic wave time difference curve, and a multivariate linear fitting process is performed to obtain a second acoustic wave time difference curve for the well without an acoustic wave curve. Finally, the well seismic calibration of the well without an acoustic wave curve is performed based on the second acoustic wave time difference curve. In this technical solution, by obtaining the first acoustic wave time difference curve between the reference curve and the adjacent well, and performing a multivariate linear fitting process, the well seismic calibration of the well without an acoustic wave curve is achieved, and the efficiency of the well seismic calibration is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 A flow chart of Embodiment 1 of the method for well seismic calibration of a well without an acoustic wave curve provided in the embodiment of the present application;

[0051] Figure 2A flow chart of Embodiment 2 of the method for seismic calibration of a well without an acoustic wave curve provided in the embodiment of the present application;

[0052] Figure 3 A flow chart of Embodiment 3 of the method for well seismic calibration of a well without acoustic wave curve provided in the embodiment of the present application;

[0053] Figure 4 A general flow chart of a well seismic calibration method for a well without an acoustic wave curve provided in an embodiment of the present application;

[0054] Figure 5 A schematic diagram of the structure of a well seismic calibration device for a well without an acoustic wave curve provided in an embodiment of the present application;

[0055] Figure 6 A schematic diagram of the structure of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0056] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0057] Before introducing the embodiments of the present application, the background technology of the present application is first explained:

[0058] Well seismic calibration is the bridge between logging and seismic information. Precise seismic calibration is the basis and premise for horizon interpretation and reservoir description. The main factors affecting the results of well seismic calibration are: logging data, seismic data, wavelet and other factors.

[0059] Inaccurate well seismic calibration results may lead to reservoir structural depth errors, inaccurate reservoir predictions, and reservoir recognition deviations. When calibrating well seismic, the commonly used method is to solve the well seismic calibration problem of wells without acoustic time difference curves through rock physics modeling. Specifically, rock physics modeling is performed using basic data such as core analysis, Pressure-Volume-Temperature (PVT), volume components, water saturation, and porosity. However, this method has high economic and time costs. If these data are missing, this method will not be applicable to solving the well seismic calibration problem of wells without acoustic time difference curves. In addition, this method is dependent on the seismic interpretation experience of technicians, resulting in a strong subjectivity in the analysis results.

[0060] Specifically, when the acoustic wave curve is missing, taking the Tarim Oilfield as an example, first, the well depth of the Tarim Oilfield is usually 5000-7000 meters, and the cost of taking a core + PVT + core analysis is about 1 million; second, due to the large number of parameters and lengthy process of rock physics modeling, Vclay, Sw and other parameters, establish a volume model, select the appropriate rock physics model according to the reservoir and fluid type in the work area, test and adjust various parameters, and finally perform the missing acoustic wave curve. The whole process basically takes more than 2-3 days; thirdly, the traditional rock physics modeling method cannot perform well seismic calibration for single wells without recording basic data such as cores and PVT, and in reservoir inversion, the well can only be abandoned.

[0061] In response to the above technical problems, the invention of the present application is conceived as follows: due to the lack of necessary basic data, adjacent wells with the same characteristics can be found near the silent wave curve well that needs to be calibrated, and then the characteristics of the adjacent wells can be analyzed. Combined with the characteristics of the silent wave curve well that needs to be calibrated, a certain relationship can be established, and accurate well seismic calibration can be made for the silent wave curve well.

[0062] The technical solution of the present application is described in detail below through specific embodiments.

[0063] It should be noted that the following specific embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0064] Figure 1 This is a flow chart of Embodiment 1 of the method for calibrating well seismic data in a well without acoustic wave curve provided in the present application. Figure 1 As shown, the well seismic calibration method may include the following steps:

[0065] Step 11: Obtain the first acoustic wave time difference curve of the adjacent well of the well without acoustic wave curve to be calibrated.

[0066] In this step, when it is necessary to perform well seismic calibration on a well without an acoustic wave curve to be calibrated (i.e., a well that has not undergone acoustic wave time difference logging), it is necessary to find other adjacent wells (i.e., adjacent wells), process the adjacent wells, and obtain the acoustic wave time difference curve of the adjacent well (i.e., the first acoustic wave time difference curve).

[0067] Optionally, the distance between the adjacent well and the silent wave curve well is less than a preset value and has the same characteristics.

[0068] Specifically, in order to make the geological conditions and other factors between the adjacent well and the silent wave curve well as close as possible to reduce the error of well seismic calibration, the distance from the adjacent well to the silent wave curve well needs to be less than a preset value, which can be an artificially specified distance value.

[0069] Optionally, the characteristics of the adjacent well and the well without acoustic wave curve may be the same as follows: the same deposition environment and compaction degree.

[0070] Step 12: Obtain a reference curve of the well without acoustic wave curve.

[0071] The reference curve may be a natural gamma curve or / and a deep resistivity curve, mainly because the natural gamma curve and the deep resistivity curve are two curves that are less affected by wellbore conditions during oil exploration.

[0072] Optionally, the natural gamma curve is a benchmark curve obtained by natural gamma logging technology. Based on geophysical detection methods, it is used to understand the physical properties of conductivity, heat transfer, acoustics, radioactivity, etc. in different sections of the measured sound-free curve well, so as to determine the relationship between the lithology, physical properties, oil and gas content, brine mineralization and geophysical properties of the rock formation.

[0073] Specifically, the radioactive isotopes of uranium, thorium, their decay products and potassium contained in natural rocks can cause natural radioactivity in the formation. These radioactive elements can release radiation without any external stimulation. These radioactive elements can emit alpha particles, beta particles and gamma rays during the decay process. Alpha particles and beta particles have poor penetrating power and cannot be used for well logging; while gamma rays are a kind of high-energy electromagnetic waves with strong penetrating power, which can be detected during the drilling process. Therefore, the natural gamma measurement system while drilling can reflect the lithology of the formation by measuring the natural gamma changes of the formation.

[0074] Optionally, the deep resistivity curve is a reference curve obtained by deep resistivity sounding. Optionally, the resistivity of oil and water is very different, and the resistivity of the same reservoir is higher when it contains oil than when it contains water.

[0075] Step 13: Establish a response relationship equation between the reference curve and the first acoustic wave time difference curve, and perform multivariate linear fitting processing to obtain the second acoustic wave time difference curve of the well without acoustic wave curve.

[0076] In this step, based on the first acoustic time difference curve and the reference curve obtained in step 11 and step 12, a response relationship equation is established, and multivariate linear fitting processing is performed to obtain the acoustic time difference curve of the well without acoustic wave curve, that is, the second acoustic time difference curve.

[0077] In a possible implementation, in order to perform well seismic calibration more accurately, a density curve can be added to the reference curve and involved in the multivariate linear fitting process, that is, the response relationship equation can be: DT=a*GR+b*DEN+c*lg(RD)+N.

[0078] Wherein, DT represents acoustic time difference, GR represents natural gamma, DEN represents density, RD represents deep resistivity, and a, b, c and N are fitting constants.

[0079] Optionally, the density curve is obtained by irradiating the formation with gamma rays emitted by a gamma source and measuring the volume density of the formation based on the Compton effect. It is greatly affected by wellbore collapse, but since the curve has linear characteristics, it is easy to correct it with a natural gamma curve. Therefore, after correction, it can be used as a reference curve together with the natural gamma curve and / or the deep resistivity curve to participate in the fitting process of the acoustic time difference curve.

[0080] Step 14: perform well seismic calibration on the well without acoustic wave curve according to the second acoustic wave time difference curve.

[0081] In this step, the well seismic calibration is performed on the well without acoustic wave curve to be calibrated according to the second acoustic wave time difference curve obtained by multivariate linear fitting.

[0082] The method for calibrating well seismic data of an acoustic wave curve well provided in an embodiment of the present application obtains the first acoustic wave time difference curve of the adjacent well of the acoustic wave curve well to be calibrated and the reference curve of the acoustic wave curve well, establishes a response relationship equation between the reference curve and the first acoustic wave time difference curve, and performs multivariate linear fitting processing to obtain the second acoustic wave time difference curve of the acoustic wave curve well. Finally, the well seismic data of the acoustic wave curve well is calibrated according to the second acoustic wave time difference curve. In this technical solution, the well seismic data of the acoustic wave curve well is calibrated according to the reference curve of the acoustic wave curve well to be calibrated and the first acoustic wave time difference curve of the adjacent well, and performs multivariate linear fitting processing, thereby realizing the well seismic data calibration of the acoustic wave curve well and improving the efficiency of the well seismic data calibration.

[0083] Based on the above embodiments, Figure 2 This is a flow chart of Embodiment 2 of the method for calibrating well seismic data in a well without acoustic wave curve provided in the present application. Figure 2 As shown, the above step 11 can be implemented by the following steps:

[0084] Step 21, according to the characteristics of the silent wave curve well, select the logging well whose distance to the silent wave curve well is less than a preset distance and has the same characteristics as the silent wave curve well as the adjacent well.

[0085] In this step, the selection of adjacent wells should be based on the characteristics of the soundless curve wells, and wells with consistent characteristics (i.e., the same sedimentary environment and compaction degree) should be selected. In addition to consistent characteristics, in order to ensure that the geological conditions and other factors are as close as possible, the selected adjacent wells should also be less than the preset distance from the soundless curve wells.

[0086] Optionally, when actually selecting adjacent wells, the preset distance may be several hundred meters, several tens of kilometers, or even larger, depending on the different stages of exploration and development.

[0087] Step 22: Select a sample layer section from the well sections in the adjacent wells that meet the preset wellbore conditions.

[0088] In this step, a sample layer section is selected from a well section that meets the preset wellbore conditions from adjacent wells, and the range of the well section is a distance of ±50m from the longitudinal direction of the sample layer section. The range of the sample layer section can be 2 meters to 10 meters.

[0089] Optionally, the preset wellbore condition may be that the acoustic wave time difference curve in the well section is not distorted.

[0090] Step 23: Determine a first acoustic wave time difference curve according to a plurality of sample points obtained from the sample layer segment.

[0091] In this step, a plurality of sample points are obtained from the sample layer segment determined in the above step, and a first acoustic wave time difference curve is determined based on these sample points.

[0092] The number of multiple sample points ranges from 20 to 80, and the lithology and fluidity types of the multiple sample points are similar to the data of some sections of the well without acoustic wave curve.

[0093] Optionally, in order to further ensure the accuracy of well-seismic calibration, a number of sample points less than 20 or more than 80 may lead to inaccurate fitting data and affect the calibration result.

[0094] The well seismic calibration method for an acoustic wave curve well provided in the embodiment of the present application selects a well logging whose distance from the well without acoustic wave curve is less than a preset distance and whose characteristics are consistent with the well without acoustic wave curve as an adjacent well, selects a sample layer section from the well section that meets the preset wellbore conditions in the adjacent well, and determines the first acoustic wave time difference curve based on multiple sample points obtained from the sample layer section. In this technical solution, by selecting multiple sample points in the adjacent well, a more accurate determination of the first acoustic wave time difference curve is achieved, which provides a reliable foundation for subsequent well seismic calibration.

[0095] Figure 3 This is a flow chart of Embodiment 3 of the method for calibrating well seismic data in a well without acoustic wave curve provided in the present application. Figure 3 As shown, the well seismic calibration method may also include the following steps:

[0096] Step 31, obtaining the difference between the well-seismic calibration result obtained by using the second acoustic wave time difference curve and the seismic waveform obtained by actual measurement.

[0097] In this step, after the well seismic calibration is performed using the second acoustic wave time difference curve to obtain the well seismic calibration result, it is determined whether the well seismic calibration result is accurate.

[0098] In a possible implementation, the measured seismic waveform is compared with the well-seismic calibration result to determine the difference between the seismic waveform and the well-seismic calibration result.

[0099] Step 32: If the difference is greater than a preset threshold, reselect sample points from adjacent wells to obtain a new first acoustic wave time difference curve.

[0100] In this step, a preset threshold is set to compare the difference between the seismic waveform and the well-seismic calibration result in the above step. If the difference is greater than the preset threshold, the well-seismic calibration result is considered inaccurate.

[0101] Optionally, the reason why the difference degree is greater than the preset threshold may be that the selection of sample points does not conform to the well section of the well without acoustic wave curve. In one possible implementation, it is necessary to reselect sample points from adjacent wells to obtain a new first acoustic wave time difference curve, that is, repeat the above step 11.

[0102] Optionally, if the difference is not greater than a preset threshold, it is considered that the seismic waveform is highly consistent with the well-seismic calibration result, that is, the well-seismic calibration result using the second acoustic wave time difference curve is accurate.

[0103] Step 33: Perform fitting processing based on the new first acoustic wave time difference curve and the reference curve to obtain a new second acoustic wave time difference curve.

[0104] In this step, after the new first acoustic wave time difference curve is obtained, the above step 13 is referred to to perform fitting processing with the reference curve to obtain a new second acoustic wave time difference curve.

[0105] In a possible implementation, the well-seismic calibration result is determined according to the new second acoustic wave time difference curve, and the operation of step 31 is repeated until the difference between the seismic waveform and the well-seismic calibration result is no greater than a preset threshold, and the well-seismic calibration result is considered accurate.

[0106] The method for seismic calibration of an acoustic wave curve well provided in an embodiment of the present application is performed by obtaining the degree of difference between the well seismic calibration result obtained by using the second acoustic wave time difference curve and the seismic waveform obtained by actual measurement. If the degree of difference is greater than a preset threshold, a sample point is reselected from an adjacent well to obtain a new first acoustic wave time difference curve. Based on the new first acoustic wave time difference curve, a fitting process is performed with a reference curve to obtain a new second acoustic wave time difference curve. In this technical solution, the accuracy of the well seismic calibration result is verified by the degree of difference between the well seismic calibration result determined by the second acoustic wave time difference curve and the seismic waveform. If it is inaccurate, the first acoustic wave time difference curve can be re-determined, thereby avoiding the possible errors in the selection of sample points during the determination process, and further improving the accuracy of the well seismic calibration result.

[0107] Based on the above embodiments, Figure 4 The overall flow chart of the well seismic calibration method for a well without acoustic wave curve provided in the embodiment of the present application. Figure 4 As shown, the method comprises the following steps:

[0108] Step 1: Obtain multiple sample points from adjacent wells.

[0109] Step 2: Obtain the baseline curve of the well without acoustic wave curve.

[0110] Step 3: Establish the response relationship equation.

[0111] Step 4: Multivariate linear fitting is performed to obtain the second acoustic wave time difference curve.

[0112] Step 5: calibrate the well seismic data for the well without acoustic wave curve.

[0113] Step 6: Determine whether the difference between the well-seismic calibration result and the measured seismic waveform is less than a preset threshold. If so, execute step 7; if not, re-execute step 1.

[0114] Step 7. End.

[0115] The well seismic calibration method for a well without an acoustic wave curve provided in an embodiment of the present application establishes a response relationship equation based on multiple sample points of adjacent wells and a reference curve of the well without an acoustic wave curve, obtains a second acoustic wave time difference curve through multivariate linear fitting processing, and performs well seismic calibration based on the second acoustic wave time difference curve. Finally, the accuracy of the well seismic calibration result is determined by determining the degree of difference between the well seismic calibration result and the measured seismic waveform. This technical solution realizes well seismic calibration for wells without an acoustic wave curve and improves the efficiency of well seismic calibration.

[0116] Figure 5 This is a schematic diagram of the structure of the well seismic calibration device for a well without an acoustic wave curve provided in an embodiment of the present application. Figure 5 As shown, the well seismic calibration device includes: an acquisition module 51 and a processing module 52.

[0117] The processing module 52 is used to obtain the first acoustic wave time difference curve of the adjacent well of the well without acoustic wave curve to be calibrated, the distance between the adjacent well and the well without acoustic wave curve is less than a preset value, and the characteristics are the same;

[0118] An acquisition module 51 is used to acquire a reference curve of a well without an acoustic wave curve;

[0119] The processing module 52 is also used to establish a response relationship equation between the reference curve and the first acoustic wave time difference curve, and perform multivariate linear fitting processing to obtain the second acoustic wave time difference curve of the well without acoustic wave curve;

[0120] The processing module 52 is further used to perform well seismic calibration on the well without acoustic wave curve according to the second acoustic wave time difference curve.

[0121] In a possible design of the embodiment of the present application, the processing module 52 is used to obtain the first acoustic wave time difference curve of the adjacent well of the well without acoustic wave curve to be calibrated, including:

[0122] According to the characteristics of the soundless wave curve well, the wells with the same characteristics as the soundless wave curve well and the distance less than the preset distance are selected as adjacent wells;

[0123] Select a sample interval from the well sections that meet the preset wellbore conditions in the adjacent wells, and the sample interval ranges from 2 meters to 10 meters;

[0124] A first acoustic wave time difference curve is determined according to a plurality of sample points obtained from the sample layer segment.

[0125] In this possible design, the processing module 52 also includes obtaining multiple sample points from the sample layer segment, the number of the multiple sample points ranges from 20 to 80, and the lithology and fluidity types of the multiple sample points are similar to the partial well section data of the sound-free curve well.

[0126] Optionally, the depositional environment and compaction level of the acoustic wave curve well and the adjacent wells are the same.

[0127] Optionally, the reference curve is a natural gamma curve and / or a deep resistivity curve.

[0128] Optionally, the response relationship equation is: DT = a*GR + b*DEN + c*lg(RD) + N;

[0129] Wherein, DT represents acoustic time difference, GR represents natural gamma, DEN represents density, RD represents deep resistivity, and a, b, c and N are fitting constants.

[0130] In another possible design of the embodiment of the present application, the processing module 52 is further used to:

[0131] Obtain the difference between the well-seismic calibration result using the second acoustic wave time difference curve and the measured seismic waveform;

[0132] If the difference is greater than a preset threshold, a sample point is reselected from an adjacent well to obtain a new first acoustic wave time difference curve;

[0133] A fitting process is performed based on the new first acoustic wave time difference curve and the reference curve to obtain a new second acoustic wave time difference curve.

[0134] The well seismic calibration device for a soundless wave curve well provided in the embodiment of the present application can be used to execute the well seismic calibration method for a soundless wave curve well in the above embodiment. Its implementation principle and technical effect are similar and will not be repeated here.

[0135] It should be noted that it should be understood that the division of the various modules of the above device is only a division of logical functions. In actual implementation, they can be fully or partially integrated into one physical entity, or they can be physically separated. And these modules can all be implemented in the form of software called by processing elements; they can also be all implemented in the form of hardware; some modules can also be implemented in the form of software called by processing elements, and some modules can be implemented in the form of hardware. For example, the determination module can be a separately established processing element, or it can be integrated in a chip of the above device. In addition, it can also be stored in the memory of the above device in the form of program code, and called and executed by a processing element of the above device. The implementation of other modules is similar. In addition, these modules can be fully or partially integrated together, or they can be implemented independently. The processing element here can be an integrated circuit with signal processing capabilities. In the implementation process, each step of the above method or each module above can be completed by an integrated logic circuit of hardware in the processor element or instructions in the form of software.

[0136] Figure 6 This is a schematic diagram of the structure of a computer device provided in an embodiment of the present application. Figure 6 As shown, the computer device may include: a processor 61 , a memory 62 , and a transceiver 63 .

[0137] The processor 61 executes the computer execution instructions stored in the memory 62, so that the processor 61 executes the scheme in the above embodiment. The processor 61 can be a general-purpose processor, including a central processing unit CPU, a network processor (NP), etc.; it can also be a digital signal processor DSP, an application-specific integrated circuit ASIC, a field programmable gate array FPGA or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.

[0138] The transceiver 63 is used to communicate with other devices. Optionally, in hardware implementation, the above Figure 5 The acquisition module 51 in the illustrated embodiment corresponds to the transceiver 63 in this embodiment, and the transceiver 63 constitutes a communication interface.

[0139] Optionally, the above-mentioned components of the computer device may be connected via a system bus.

[0140] The computer device provided in the embodiment of the present application can be used to execute the solutions in the above embodiments. Its implementation principles and technical effects are similar and will not be repeated here.

[0141] An embodiment of the present application also provides a chip for running instructions, which is used to execute the solution in the above embodiment.

[0142] An embodiment of the present application further provides a computer-readable storage medium, in which computer instructions are stored. When the computer instructions are executed on a computer, the computer executes the solution of the above embodiment.

[0143] An embodiment of the present application also provides a computer program product, which includes a computer program stored in a computer-readable storage medium. At least one processor can read the computer program from the computer-readable storage medium, and when at least one processor executes the computer program, the solution in the above embodiment can be implemented.

[0144] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for calibrating well seismic data of a well without acoustic wave curve, characterized in that: include: Obtaining a first acoustic wave time difference curve of an adjacent well of a well without an acoustic wave curve to be calibrated, wherein the distance between the adjacent well and the well without an acoustic wave curve is less than a preset value, and the sedimentary environment and compaction degree of the well without an acoustic wave curve are the same as those of the adjacent well; Acquire a reference curve of the acoustic wave curve well, wherein the reference curve includes a natural gamma curve and a density curve corrected by the natural gamma curve, wherein the natural gamma curve is a curve acquired by the natural gamma logging technology; Establishing a response relationship equation between the reference curve and the first acoustic wave time difference curve, and performing multivariate linear fitting processing to obtain a second acoustic wave time difference curve of the well without acoustic wave curve; The well seismic calibration is performed on the well without the acoustic wave curve according to the second acoustic wave time difference curve.

2. The method according to claim 1, characterized in that The step of obtaining the first acoustic wave time difference curve of the adjacent well of the well without acoustic wave curve to be calibrated comprises: According to the characteristics of the silent wave curve well, a well logging which is less than a preset distance from the silent wave curve well and has the same characteristics as the adjacent well is selected; Selecting a sample layer section from the well sections in the adjacent wells that meet the preset wellbore conditions, wherein the sample layer section ranges from 2 meters to 10 meters; The first acoustic wave time difference curve is determined according to a plurality of sample points obtained from the sample layer segment.

3. The method according to claim 2, characterized in that The method further comprises: A plurality of sample points are obtained from the sample layer segment, the number of the plurality of sample points ranges from 20 to 80, and the types of lithology and fluidity of the plurality of sample points are similar to the partial well section data of the acoustic wave curve well.

4. The method according to any one of claims 1 to 3, characterized in that: The reference curve also includes a deep resistivity curve, and the response relationship equation is: ; Wherein, DT represents the acoustic time difference curve, GR represents the natural gamma curve, DEN represents the density curve, RD represents the deep resistivity curve, and a, b, c and N are fitting constants.

5. The method according to any one of claims 1 to 3, characterized in that: The method further comprises: Obtaining the difference between the well-seismic calibration result obtained by using the second acoustic wave time difference curve and the measured seismic waveform; If the difference is greater than a preset threshold, reselecting sample points from the adjacent wells to obtain a new first acoustic wave time difference curve; A fitting process is performed based on the new first acoustic wave time difference curve and the reference curve to obtain a new second acoustic wave time difference curve.

6. A well seismic calibration device for a well without an acoustic wave curve, characterized in that: include: Acquisition module and processing module; The processing module is used to obtain a first acoustic wave time difference curve of an adjacent well of a well without an acoustic wave curve to be calibrated, wherein the distance between the adjacent well and the well without an acoustic wave curve is less than a preset value, and the sedimentary environment and compaction degree of the well without an acoustic wave curve are the same as those of the adjacent well; The acquisition module is used to acquire a reference curve of the acoustic wave curve well, wherein the reference curve includes a natural gamma curve and a density curve corrected by the natural gamma curve, wherein the natural gamma curve is a curve acquired by the natural gamma logging technology; The processing module is further used to establish a response relationship equation between the reference curve and the first acoustic wave time difference curve, and perform multivariate linear fitting processing to obtain the second acoustic wave time difference curve of the well without acoustic wave curve; The processing module is further used to perform well seismic calibration on the well without acoustic wave curve according to the second acoustic wave time difference curve.

7. A computer device, characterized in that: include: processors, memory, and transceivers; The memory is used to store computer program instructions executable on the processor; When the processor executes the computer program instructions, the method according to any one of claims 1 to 5 is implemented.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 5 when executed by a processor.

Citation Information

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