Waveform processing methods and electronic equipment for numerical simulation of acoustic variable density logging

Abstract

This application provides a waveform processing method and electronic device for numerical simulation of acoustic variable density logging, belonging to the field of numerical simulation technology. The method includes: obtaining an engineering value of the acoustic amplitude based on the calculated acoustic amplitude waveform; calculating the cement bonding index based on the engineering value of the acoustic amplitude; simulating the cement bonding index waveform based on the cement bonding index; and when the positive peak amplitude is greater than a preset threshold, using a numerical simulation waveform processing algorithm to extract the positive peak from the wave train of the cement bonding index waveform, performing variable density map processing, and obtaining a forward-modeled acoustic amplitude variable density map. This application's solution can quantitatively determine the degree of cement bonding based on the cement bonding index and intuitively evaluate the cementing quality based on the forward-modeled acoustic amplitude variable density map.

Description

Technical Field

[0001] This application relates to the field of numerical simulation technology, specifically to a waveform processing method and electronic equipment for numerical simulation of acoustic variable density logging. Background Technology

[0002] During cementing, due to the properties of the well media, the cementing operation environment, and various other factors, it is difficult to guarantee good cementing quality throughout the entire well section. To prevent issues such as reduced well life and reservoir contamination caused by substandard cementing quality, it is crucial to conduct reasonable evaluations of cementing quality, promptly locate substandard sections, and provide appropriate remedial measures.

[0003] Cement-bonded logging technology, represented by CBL / VDL, has become a fundamental method and means for detecting and evaluating cementing quality for many years, playing a crucial role in the detection of cement bond quality in cased wells. In the process of cementing quality evaluation, the study of theoretical waveforms plays a vital guiding role in the design of acoustic variable density instruments and the analysis and evaluation of field data. Previous theoretical studies only calculated waveforms and qualitatively judged the cementing quality at the first and second interfaces based on the waveforms, failing to integrate with actual field data for quantitative analysis.

[0004] Therefore, how to quantitatively determine the degree of cement bonding to evaluate the cementing quality remains an unsolved problem. Summary of the Invention

[0005] The purpose of this application is to provide a waveform processing method for numerical simulation of acoustic variable density logging, which can solve the problem in the prior art that it is impossible to combine with actual field data to quantitatively analyze cementing quality.

[0006] In a first aspect, embodiments of this application provide a waveform processing method for numerical simulation of acoustic variable density logging, the method comprising: Based on the calculated sound wave amplitude waveform, the engineering value of the sound wave amplitude is obtained; The cement bonding index is calculated based on the engineering value of the acoustic wave amplitude. Based on the cement bonding index, the waveform of the cement bonding index was simulated. When the positive peak amplitude is greater than the preset threshold, a numerical simulation waveform processing algorithm is used to extract the positive peak of the wave train of the cement bonding index waveform and perform variable density map processing to obtain the forward modeling simulation acoustic amplitude variable density map.

[0007] In one possible implementation of the first aspect, the cement bonding index is calculated based on the acoustic amplitude engineering value, including: Based on the engineering value of the sound wave amplitude, the attenuation rate of the first wave amplitude is calculated; based on the attenuation rate of the first wave amplitude, the cement bonding index is calculated.

[0008] In one possible implementation of the first aspect, the attenuation rate of the first wave amplitude is calculated based on the engineered value of the sound wave amplitude, including: The attenuation rate of the first wave amplitude is calculated using the following formula:

[0009] in, This represents the attenuation rate of the first wave amplitude of the sound wave. Indicates source distance, This indicates the amplitude of the sound wave received by the receiver. This indicates the amplitude of the sound waves emitted by the transmitter. , as well as All are constants; The formula for calculating the attenuation rate of the first wave amplitude of a sound wave is simplified, and the simplified formula is as follows:

[0010] in, and Indicates intermediate variables. , .

[0011] In one possible implementation of the first aspect, the cement bonding index is calculated based on the attenuation rate of the first wave amplitude, including: The cement bonding index is calculated using the following formula:

[0012] in, This represents the acoustic amplitude value of a 100% cemented well section. Indicates the acoustic amplitude value of the target layer. It is a constant; The formula for calculating the cement bonding index is simplified as follows:

[0013] in, and Indicates intermediate variables. , .

[0014] In one possible implementation of the first aspect, the method further includes: An explanatory chart is drawn on a logarithmic coordinate graph with the attenuation rate of the first wave amplitude on the x-axis and the sound wave amplitude on the y-axis. According to the explanatory diagram, the acoustic amplitude is compared with the cement bonding index.

[0015] In one possible implementation of the first aspect, a numerical simulation waveform processing algorithm is used to extract the positive peak of the wave train of the cement cementitious index waveform, and perform variable density map processing to obtain a forward-modeled acoustic amplitude variable density map, including: A numerical simulation waveform processing algorithm is used to extract the positive peak of the wave train of the cement bonding index waveform with a preset source distance; based on the extracted positive peak, a forward modeling acoustic amplitude variation density map is drawn.

[0016] In one possible implementation of the first aspect, after extracting the positive peak of the cement cementitious index waveform using a numerical simulation waveform processing algorithm and performing variable density map processing to obtain a forward-modeled acoustic amplitude variable density map, the method further includes: The forward modeling simulation of acoustic amplitude variation density is displayed based on the amplitude and gray level of the sound wave.

[0017] In one possible implementation of the first aspect, the grayscale levels include: black, blackish gray, gray, grayish white, and white.

[0018] Secondly, embodiments of this application provide a waveform processing device for numerical simulation of acoustic variable density logging, the device comprising: The first calculation unit is used to obtain the engineering value of the sound wave amplitude based on the calculated sound wave amplitude waveform; The second calculation unit is used to calculate the cement bonding index based on the engineering value of the acoustic wave amplitude. The simulation unit is used to simulate the waveform of the cement bonding index based on the cement bonding index. The processing unit is used to extract the positive peak of the cement bonding index waveform by means of a numerical simulation waveform processing algorithm when the positive peak amplitude is greater than a preset threshold, and to perform variable density map processing to obtain a forward modeling simulation acoustic amplitude variable density map.

[0019] Thirdly, embodiments of this application provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the waveform processing method for numerical simulation of acoustic variable density logging as described in any of the first aspects above.

[0020] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the waveform processing method for acoustic variable density logging numerical simulation as described in any of the first aspects above.

[0021] Fifthly, embodiments of this application provide a computer program product that, when run on an electronic device, causes the electronic device to execute the waveform processing method for acoustic variable density logging numerical simulation described in any of the first aspects above.

[0022] The proposed solution obtains the engineering value of the acoustic amplitude based on the calculated acoustic amplitude waveform; calculates the cement bonding index based on the engineering value of the acoustic amplitude; simulates the cement bonding index waveform based on the cement bonding index; when the positive peak amplitude is greater than a preset threshold, a numerical simulation waveform processing algorithm is used to extract the positive peak of the wave train of the cement bonding index waveform and perform variable density map processing to obtain a forward modeling simulation acoustic amplitude variable density map.

[0023] The proposed solution can quantitatively determine the degree of cement bonding based on the cement bonding index and intuitively evaluate the cementing quality based on the forward modeling acoustic amplitude variation density map, which has strong ease of use and practicality.

[0024] Other features and advantages of this application will be described in detail in the following detailed description section. Attached Figure Description

[0025] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0026] Figure 1 This is a schematic diagram of the theoretical waveform used to determine cementing quality according to an embodiment of this application; Figure 2 This is a schematic diagram of the waveform processing method for numerical simulation of acoustic variable density logging provided in this application embodiment; Figure 3 These are schematic diagrams illustrating the embodiments of this application; Figure 4 This is a schematic diagram of the theoretical simulation results of strata with different degrees of cementation provided in the embodiments of this application; Figure 5 This is a schematic diagram comparing theoretical simulations and actual data provided in the embodiments of this application; Figure 6 This is a schematic diagram of the waveform processing device for numerical simulation of acoustic variable density logging provided in this application embodiment; Figure 7 This is a schematic diagram of the electronic device provided in the embodiments of this application. Detailed Implementation

[0027] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application can also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0028] It should be understood that, when used in this specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or photovoltaic modules, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, photovoltaic modules and / or combinations thereof.

[0029] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the scope of the application. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0030] It should also be further understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0031] As used in this specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if [the described condition or event] is detected" may be interpreted, depending on the context, as "once determined," "in response to determination," "once [the described condition or event] is detected," or "in response to detection of [the described condition or event]."

[0032] Furthermore, in the description of this application, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0033] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in some other embodiments," "in other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0034] During cementing, due to the properties of the well media, the cementing operation environment, and various other factors, it is difficult to guarantee good cementing quality throughout the entire well section. To prevent issues such as reduced well life and reservoir contamination caused by substandard cementing quality, it is crucial to conduct reasonable evaluations of cementing quality, promptly locate substandard sections, and provide appropriate remedial measures.

[0035] Cement-bonded logging technology, represented by CBL / VDL, has become a fundamental method and means for detecting and evaluating cementing quality for many years, playing a crucial role in the detection of cement bond quality in cased wells. In the process of cementing quality evaluation, the study of theoretical waveforms plays a vital guiding role in the design of acoustic variable density instruments and the analysis and evaluation of field data. Previous theoretical studies only calculated waveforms and qualitatively judged the cementing quality at the first and second interfaces based on the waveforms, failing to integrate with actual field data for quantitative analysis.

[0036] According to Tang Dafang's paper "Numerical Simulation of Full Waveform in Acoustic Variable Density Logging and Evaluation of Cementing Quality," current numerical simulation algorithms for acoustic variable density logging use a physical model of a columnar multilayer open acoustic waveguide to simulate the in-well and external environments of casing wells. They employ the real-axis integration method to simulate the full waveform in the well under different dominant frequencies, formations, and source distances, aiming to determine cementing quality by observing the amplitude of the first wave in the simulated waveform. However, this method cannot visually display the cementing situation at the two interfaces. Therefore, it can only qualitatively evaluate cementing quality and cannot quantitatively determine the degree of cement bonding. Furthermore, the simulated waveforms cannot correspond to actual data, failing to achieve a combination of theory and practice.

[0037] To address the aforementioned deficiencies, this application provides a waveform processing method for numerical simulation of acoustic variable density logging. Based on the calculated acoustic amplitude waveform, an engineering value of the acoustic amplitude is obtained; based on the engineering value of the acoustic amplitude, a cement bonding index is calculated; based on the cement bonding index, a cement bonding index waveform is simulated; when the positive peak amplitude is greater than a preset threshold, a numerical simulation waveform processing algorithm is used to extract the positive peak from the wave train of the cement bonding index waveform, and variable density map processing is performed to obtain a forward-modeled acoustic amplitude variable density map.

[0038] The proposed solution can quantitatively determine the degree of cement bonding based on the cement bonding index and intuitively evaluate the cementing quality based on the forward modeling acoustic amplitude variation density map, which has strong ease of use and practicality.

[0039] The specific process implemented in this application is described below through specific embodiments.

[0040] Please see Figure 1 , Figure 1 This is a schematic diagram illustrating the theoretical waveform used to determine cementing quality, provided in an embodiment of this application. For example... Figure 1 As shown, the waveforms of the free sleeve, the first interface groove, the second interface groove, and the well-bonded cement are respectively displayed.

[0041] Please see Figure 2 , Figure 2 This is a schematic diagram illustrating the steps of the waveform processing method for numerical simulation of acoustic variable density logging provided in this application. For example... Figure 2 As shown, the method may include the following steps: S201. Based on the calculated sound wave amplitude waveform, obtain the engineering value of the sound wave amplitude.

[0042] S202, the cement bonding index is calculated based on the engineering value of the acoustic wave amplitude.

[0043] According to one embodiment of this application, the cement bonding index is calculated based on the acoustic amplitude engineering value, including: Based on the engineering value of the sound wave amplitude, the attenuation rate of the first wave amplitude is calculated. Based on the attenuation rate of the first wave amplitude, the cement bonding index is calculated.

[0044] According to one embodiment of this application, the attenuation rate of the first wave amplitude of a sound wave is calculated based on the engineering value of the sound wave amplitude, including: The attenuation rate of the first wave amplitude is calculated using the following formula:

[0045] in, This represents the attenuation rate of the first wave amplitude of the sound wave. Indicates source distance, This indicates the amplitude of the sound wave received by the receiver. This indicates the amplitude of the sound waves emitted by the transmitter. , as well as All are constants; The formula for calculating the attenuation rate of the first wave amplitude of a sound wave is simplified, and the simplified formula is as follows:

[0046] in, and Indicates intermediate variables. , .

[0047] According to one embodiment of this application, the cement bonding index is calculated based on the attenuation rate of the first wave amplitude of the sound wave, including: The cement bonding index is calculated using the following formula:

[0048] in, This represents the acoustic amplitude value of a 100% cemented well section. Indicates the acoustic amplitude value of the target layer. It is a constant; The formula for calculating the cement bonding index is simplified as follows:

[0049] in, and Indicates intermediate variables. , .

[0050] S203, based on the cement bonding index, simulates the waveform of the cement bonding index.

[0051] S204. When the positive peak amplitude is greater than the preset threshold, a numerical simulation waveform processing algorithm is used to extract the positive peak of the wave train of the cement bonding index waveform and perform variable density map processing to obtain the forward modeling simulation acoustic amplitude variable density map.

[0052] According to one embodiment of this application, a numerical simulation waveform processing algorithm is used to extract the positive peak of the wave train of the cement cementitious index waveform, and perform variable density map processing to obtain a forward-modeled acoustic amplitude variable density map, including: A numerical simulation waveform processing algorithm is used to extract the positive peak of the wave train of the cement bonding index waveform with a preset source distance; based on the extracted positive peak, a forward modeling acoustic amplitude variation density map is drawn.

[0053] According to one embodiment of this application, after extracting the positive peak of the wave train of the cement cementitious index waveform using a numerical simulation waveform processing algorithm and performing variable density map processing to obtain a forward-modeled acoustic amplitude variable density map, the method further includes: The forward modeling simulation of acoustic amplitude variation density is displayed based on the amplitude and gray level of the sound wave.

[0054] According to one embodiment of this application, the grayscale levels include: black, blackish gray, gray, grayish white, and white.

[0055] According to one embodiment of this application, the method further includes: An interpretive chart was plotted on a logarithmic coordinate graph, with the attenuation rate of the first wave amplitude on the x-axis and the wave amplitude on the y-axis. Based on this chart, the wave amplitude was compared with the cement bonding index.

[0056] According to one embodiment of this application, the acoustic attenuation rate of the target layer is calculated by analyzing the relationship between the attenuation rate and the amplitude of the first wave of acoustic waves. The acoustic amplitude CBL engineering value and cementation index BI value are then quantitatively determined using this method. Positive peaks are extracted from the simulated waveform, and a variable density map is created based on the amplitude of the positive peaks using five grayscale levels. The theoretical calculation results are then correlated one-to-one with actual well logging data, improving the accuracy of the theoretical simulation. The simulation data is quantified and standardized, allowing for a more intuitive evaluation of cementing quality.

[0057] 1. Theoretical Basis The method of evaluating cement bonding quality using acoustic amplitude curves is based on the premise that the cement bonding quality is directly proportional to the attenuation rate of the initial acoustic wave amplitude. The attenuation rate and the initial acoustic wave amplitude satisfy the following relationship: (1) Where F is the attenuation rate, dB / ft; E is the source distance, ft; V is the amplitude of the sound wave received by the receiver, mV; V1 is the amplitude of the sound wave emitted by the transmitter, mV; and E and V1 are constants.

[0058] make Then we get (2) in, Cementation Index (3) Substituting equation (2) into equation (3), we get: (4) Among them, V min V represents the acoustic amplitude value of the 100% cemented well section, and V represents the acoustic amplitude value of the target layer. For logging data from a single well, V... min It is a constant.

[0059] make , Then we get (5) 2. Explanation of the illustrations Plot an explanatory graph on logarithmic graph paper with BI as the x-axis and V as the y-axis. The explanatory graph diagram is shown below. Figure 3 As shown in the diagram, the acoustic amplitude value V and the cementation index value BI can be compared more intuitively.

[0060] Through the above process, the calculated results are plotted to obtain schematic diagrams of theoretical simulation results of strata with different degrees of cementation, as shown in the figure. Figure 4 As shown.

[0061] Theoretical simulations were performed on strata with different degrees of cementation, and the simulation results are shown in the figure below. Figure 4 As shown, Figure 4 The degree of cementation in the middle strata gradually decreases from top to bottom. The left side shows the calculated cement cementation index (BI) curve, which can visually determine the cement cementation status; the middle part shows the engineering values ​​of acoustic amplitude (CBL) under different cementation states; the right side shows the density variation diagram drawn based on the 5ft acoustic amplitude.

[0062] As can be seen from the simulation, as the cementation index gradually decreases, it indicates that the degree of formation cementation gradually deteriorates; as the engineering value of the acoustic wave amplitude gradually increases, it indicates that the amplitude of the first acoustic wave increases and the cementation quality of the interface deteriorates. It can also be seen from the density variation diagram that as the amplitude of the first acoustic wave increases, the first wave signal gradually strengthens and the formation wave information gradually decreases.

[0063] Please see Figure 5 , Figure 5 This is a schematic diagram comparing theoretical simulations and actual data provided in the embodiments of this application. For example... Figure 5 As shown, the acoustic amplitude (CBL) engineering value and cementation index (BI) value calculated by the scheme in this application correspond well with the actual logging data.

[0064] In well-cemented layers, the CBL value is basically close to the baseline, and the BI value is close to 1. Formation wave information can be clearly seen in the density variation map. In poorly cemented layers, the CBL value increases, indicating that the casing wave amplitude is large. The calculated BI value is close to 0. In the density variation map, the formation wave information is masked by the casing wave information and cannot be observed, which represents poor cementation in this layer.

[0065] By comparing the cementation index curves, acoustic amplitude engineering value curves, and density variation diagrams of theoretical simulations and actual measurements, the one-to-one correspondence between theoretical simulations and actual data can be seen more intuitively.

[0066] According to one embodiment of this application, the waveform processing method for numerical simulation of acoustic variable density logging provided in this application includes the following steps: Step 1: Obtain the engineering value of the acoustic wave amplitude based on the calculated waveform, providing a data basis for calculating the bonding index (BI) value; Step 2: According to Formula 5, the cement bonding index (BI) value is obtained, and the BI value is used to quantitatively analyze the cementing quality of one interface. Step 3: Take the positive peak of the 5ft wave train and perform variable density map processing (to be consistent with the actual logging instrument, the amplitude of the positive peak must be greater than a certain preset value Am_vdl=0.2 before processing is performed). Step 4: Display the variable density map according to the amplitude of the sound wave in 5 gray levels, namely black, blackish gray, gray, grayish white and white. The larger the amplitude, the darker the color.

[0067] In general, based on the theoretical foundation of the invention, the engineering values ​​of acoustic wave amplitude and the cementation index (BI) are calculated to obtain interpretable charts that can be displayed intuitively. The 5ft full wave train is then processed into a variable density map to generate a forward-modeled acoustic amplitude variable density map. This ensures a one-to-one correspondence between theoretical calculation results and actual well logging data, improving the accuracy of theoretical simulation, quantifying and standardizing simulation data, and enabling more intuitive evaluation of cementing quality. This research plays a crucial guiding role in the study of theoretical waveforms and the design of acoustic variable density instruments for the analysis and evaluation of field data.

[0068] The waveform processing method for numerical simulation of acoustic variable density logging provided in this application involves obtaining an engineering value of acoustic amplitude based on the calculated acoustic amplitude waveform; calculating the cement bonding index based on the engineering value of acoustic amplitude; simulating the cement bonding index waveform based on the cement bonding index; and, when the positive peak amplitude is greater than a preset threshold, using a numerical simulation waveform processing algorithm to extract the positive peak from the wave train of the cement bonding index waveform and perform variable density map processing to obtain a forward modeling acoustic amplitude variable density map.

[0069] The proposed solution can quantitatively determine the degree of cement bonding based on the cement bonding index and intuitively evaluate the cementing quality based on the forward modeling acoustic amplitude variation density map, which has strong ease of use and practicality.

[0070] The proposed solution uses a numerical simulation waveform processing algorithm to process the theoretical waveform, convert the first wave amplitude into an engineering value, and obtain the cement bonding index (BI) value, the engineering value of the first wave amplitude, and a variable density map showing the entire wave train.

[0071] This application proposes a method for processing the first wave waveform signal of cementing in acoustic variable density logging. By studying the acoustic amplitude engineering value and cement bonding index value, a one-to-one correspondence is obtained with the actual logging data. This quantifies and standardizes the simulated data, and has greater theoretical research value.

[0072] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0073] Corresponding to the method in the above embodiments, Figure 6 This is a schematic diagram of the waveform processing device for numerical simulation of acoustic variable density logging provided in this application embodiment. For ease of explanation, only the parts related to this application embodiment are shown.

[0074] Reference Figure 6 The device includes: The first calculation unit 601 is used to obtain the engineering value of the sound wave amplitude based on the calculated sound wave amplitude waveform; The second calculation unit 602 is used to calculate the cement bonding index based on the engineering value of the acoustic wave amplitude. Simulation unit 603 is used to simulate the waveform of cement bonding index based on cement bonding index; The processing unit 604 is used to extract the positive peak of the cement bonding index waveform by means of a numerical simulation waveform processing algorithm when the positive peak amplitude is greater than a preset threshold, and to perform variable density map processing to obtain a forward modeling simulation acoustic amplitude variable density map.

[0075] It should be noted that the information interaction and execution process between the above-mentioned devices / units are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, and they will not be repeated here.

[0076] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0077] Figure 7 This is a schematic diagram of the structure of the electronic device 7 provided in an embodiment of this application. Figure 7As shown, the electronic device 7 of this embodiment includes: at least one processor 701 ( Figure 7 Only one is shown in the diagram), memory 703, and computer program 702 stored in memory 703 and executable on at least one processor 701, wherein processor 701 executes computer program 702 to implement the steps in the above method embodiments.

[0078] Electronic device 7 can be a desktop computer, laptop, handheld computer, or mobile phone, etc. This electronic device 7 may include, but is not limited to, a processor 701 and a memory 703. Those skilled in the art will understand that... Figure 7 This is merely an example of electronic device 7 and does not constitute a limitation on electronic device 7. It may include more or fewer components than shown, or combine certain components, or different components, such as input / output devices, network access devices, etc.

[0079] The processor 701 may be a Central Processing Unit (CPU), but it can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware photovoltaic modules, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0080] In some embodiments, memory 703 may be an internal storage unit of electronic device 7, such as a hard disk or memory of electronic device 7. In other embodiments, memory 703 may be an external storage device of electronic device 7, such as a plug-in hard disk, smart media card (SMC), secure digital card (SD), flash card, etc., equipped on electronic device 7. Furthermore, memory 703 may include both internal and external storage units of electronic device 7. Memory 703 is used to store operating system, application programs, boot loader, data, and other programs, such as program code of computer programs. Memory 703 may also be used to temporarily store data that has been output or will be output.

[0081] If the integrated units described above are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, when implementing all or part of the processes in the methods of the above embodiments of this application, it can be accomplished by a computer program instructing related hardware. This computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps applied to the method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. A computer-readable storage medium can include at least: any entity or device capable of carrying computer program code to a computing device / electronic device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, such as a USB flash drive, a portable hard drive, a magnetic disk, or an optical disk. In some jurisdictions, according to legislation and patent practice, a computer-readable storage medium cannot be an electrical carrier signal or a telecommunication signal.

[0082] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps in the various method embodiments described above.

[0083] This application provides a computer program product that, when run on an electronic device, causes the electronic device to execute the steps described in the various method embodiments above.

[0084] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0085] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0086] In the embodiments provided in this application, it should be understood that the disclosed devices / electronic devices and methods can be implemented in other ways. The device / electronic device embodiments described above are merely illustrative, and the division of modules or units described above is only a logical functional division. In actual implementation, there may be other division methods. For example, multiple units or photovoltaic modules may be combined or integrated into another system, and some features may be ignored. Furthermore, the indirect coupling, direct coupling, or communication connection shown or discussed may be through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0087] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0088] The above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the above embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A waveform processing method for numerical simulation of acoustic variable density logging, characterized in that, The method includes: Based on the calculated sound wave amplitude waveform, the engineering value of the sound wave amplitude is obtained; The cement bonding index is calculated based on the engineering value of the acoustic wave amplitude. Based on the cement bonding index, the waveform of the cement bonding index was simulated. When the positive peak amplitude is greater than a preset threshold, a numerical simulation waveform processing algorithm is used to extract the positive peak from the wave train of the cement bonding index waveform and perform variable density map processing to obtain a forward modeling simulation acoustic amplitude variable density map.

2. The waveform processing method for numerical simulation of acoustic variable density logging according to claim 1, characterized in that, Based on the aforementioned acoustic amplitude engineering value, the cement bonding index is calculated, including: Based on the engineering value of the sound wave amplitude, the attenuation rate of the first wave amplitude is calculated; The cement bonding index is calculated based on the attenuation rate of the first wave amplitude of the sound wave.

3. The waveform processing method for numerical simulation of acoustic variable density logging according to claim 2, characterized in that, Based on the aforementioned acoustic wave amplitude engineering value, the attenuation rate of the first wave amplitude is calculated, including: The attenuation rate of the first wave amplitude is calculated using the following formula: in, This represents the attenuation rate of the first wave amplitude of the sound wave. Indicates source distance, This indicates the amplitude of the sound wave received by the receiver. This indicates the amplitude of the sound waves emitted by the transmitter. , as well as All are constants; The formula for calculating the attenuation rate of the first wave amplitude of a sound wave is simplified, and the simplified formula is as follows: in, and Indicates intermediate variables. , .

4. The waveform processing method for numerical simulation of acoustic variable density logging according to claim 3, characterized in that, The cement bonding index is calculated based on the attenuation rate of the first wave amplitude of the sound wave, including: The cement bonding index is calculated using the following formula: in, This represents the sonic amplitude value of a 100% cemented well section. Indicates the acoustic amplitude value of the target layer. It is a constant; The formula for calculating the cement bonding index is simplified to obtain the following simplified formula: in, and Indicates intermediate variables. , .

5. The waveform processing method for numerical simulation of acoustic variable density logging according to claim 4, characterized in that, The method further includes: An explanatory chart is drawn on a logarithmic coordinate graph with the attenuation rate of the first wave amplitude on the x-axis and the sound wave amplitude on the y-axis. According to the explanatory diagram, the acoustic amplitude is compared with the cement bonding index.

6. The waveform processing method for numerical simulation of acoustic variable density logging according to claim 1, characterized in that, A numerical simulation waveform processing algorithm is used to extract the positive peak of the wave train of the cement cementitious index waveform, and perform variable density map processing to obtain a forward modeling acoustic amplitude variable density map, including: A numerical simulation waveform processing algorithm is used to extract the positive peak of the wave train of the cement bonding index waveform with a preset source distance; Based on the extracted positive peak, the forward modeling simulation amplitude variation density map is plotted.

7. The waveform processing method for numerical simulation of acoustic variable density logging according to claim 1, characterized in that, After extracting the positive peak of the wave train of the cement cementitious index waveform using a numerical simulation waveform processing algorithm and performing variable density map processing to obtain the forward modeling acoustic amplitude variable density map, the method further includes: The forward modeling simulation sound amplitude variation density map is displayed based on the sound wave amplitude and gray level.

8. The waveform processing method for numerical simulation of acoustic variable density logging according to claim 7, characterized in that, The grayscale levels include: black, blackish gray, gray, grayish white, and white.

9. A waveform processing device for numerical simulation of acoustic variable density logging, characterized in that, The device includes: The first calculation unit is used to obtain the engineering value of the sound wave amplitude based on the calculated sound wave amplitude waveform; The second calculation unit is used to calculate the cement bonding index based on the engineering value of the acoustic wave amplitude. The simulation unit is used to simulate the cement bonding index waveform based on the cement bonding index. The processing unit is used to extract the positive peak of the cement bonding index waveform by means of a numerical simulation waveform processing algorithm when the positive peak amplitude is greater than a preset threshold, and to perform variable density map processing to obtain a forward modeling simulation acoustic amplitude variable density map.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the waveform processing method for numerical simulation of acoustic variable density logging as described in any one of claims 1-8.

11. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the waveform processing method for numerical simulation of acoustic variable density logging as described in any one of claims 1-8.

12. A computer program product, characterized in that, When the computer program product is run on an electronic device, the electronic device performs the waveform processing method for acoustic variable density logging numerical simulation as described in any one of claims 1-8.

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