Distributed optical fiber acoustic logging depth correction method, device, equipment and medium
By analyzing the waterfall plot of distributed fiber optic acoustic logging and using fast Fourier transform to determine the location of the blowout preventer, the problem of inaccurate logging depth in distributed fiber optic acoustic logging curves was solved, and accurate logging depth correction was achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA PETROLEUM & CHEMICAL CORP
- Filing Date
- 2024-11-12
- Publication Date
- 2026-05-12
AI Technical Summary
Distributed fiber optic acoustic logging curves are inaccurate in terms of logging depth and cannot accurately characterize downhole depth.
By analyzing the distributed fiber optic acoustic logging waterfall plot, the fiber length range corresponding to the blowout preventer (BOP) location is determined. The bottom position of the BOP is determined using fast Fourier transform, and logging depth correction is performed based on the bottom position of the BOP and the height of the square filler core.
It provides an accurate logging depth correction method, eliminates invalid wellhead data, and improves the accuracy of logging depth.
Smart Images
Figure CN122014231A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of oil and gas exploration and development technology, specifically to a distributed fiber optic acoustic logging depth correction method, device, equipment, and medium. Background Technology
[0002] Distributed fiber optic acoustic sensing technology utilizes the phase of coherent Rayleigh scattered light to detect audio signals, including very low frequencies of sound or vibration. It linearly reconstructs the amplitude, phase, and frequency of sound or vibration at different points on the fiber optic cable using this phase information. Distributed fiber optic sensing offers advantages such as high measurement accuracy, resistance to electromagnetic interference, non-contact measurement, easy installation, and suitability for long-term or permanent downhole monitoring. It is widely used in oil and gas well production for applications such as horizontal well fracturing and production profile interpretation.
[0003] In distributed fiber optic acoustic logging, the optical fiber is lowered into the well along with the steel cable. The acoustic vibration signal of the entire fiber optic segment is continuously measured and recorded to obtain the distributed fiber optic acoustic logging curve. In this curve, the fiber length is used to represent the logging depth. However, using fiber length to represent logging depth is inaccurate; therefore, depth correction is needed to convert the fiber length into an interpretable logging depth.
[0004] It should be noted that the information disclosed in the background section of this application is intended only to enhance the understanding of the general background of this application, and should not be construed as an admission or in any way implying that the information constitutes prior art known to those skilled in the art. Summary of the Invention
[0005] In view of this, this application provides a distributed fiber optic acoustic logging depth correction method, apparatus, equipment and medium to help solve the problem of inaccurate logging depth in the distributed fiber optic acoustic logging curve in the prior art.
[0006] In a first aspect, embodiments of this application provide a distributed fiber optic acoustic logging depth correction method, including:
[0007] Analyze the distributed fiber optic acoustic logging waterfall diagram to determine the fiber optic length range corresponding to the blowout preventer location;
[0008] A fast Fourier transform is performed on the distributed fiber optic acoustic logging data within the length range of the optical fiber to determine the bottom position of the blowout preventer.
[0009] The logging depth of the distributed fiber optic acoustic logging curve is corrected based on the bottom position of the blowout preventer to obtain the corrected logging depth.
[0010] In one possible implementation, the analysis of the distributed fiber optic acoustic logging waterfall plot to determine the fiber optic length range corresponding to the blowout preventer location includes:
[0011] Analysis of distributed fiber optic acoustic logging waterfall plots determined that the location with strong acoustic signal at the top of the fiber and regular vibration of the acoustic signal corresponds to the fiber length range of the blowout preventer location.
[0012] In one possible implementation, performing a fast Fourier transform on the distributed fiber optic acoustic logging data within the fiber length range to determine the bottom position of the blowout preventer includes:
[0013] Fast Fourier transform is performed on the distributed fiber optic acoustic logging data within the fiber length range to obtain a fiber length-frequency waterfall plot.
[0014] The bottom position of the blowout preventer is determined by analyzing the fiber length-frequency waterfall plot.
[0015] In one possible implementation, analyzing the fiber length-frequency waterfall plot to determine the bottom position of the blowout preventer includes:
[0016] By analyzing the fiber length-frequency waterfall plot, the location with a low frequency and a strong bottom signal was selected as the bottom position of the blowout preventer.
[0017] In one possible implementation, the step of correcting the logging depth of the distributed fiber optic acoustic logging curve based on the bottom position of the blowout preventer to obtain the corrected logging depth includes:
[0018] Based on the bottom position of the blowout preventer and the height between the square filler and the bottom position of the blowout preventer, the logging depth of the distributed fiber optic acoustic logging curve is corrected to obtain the corrected logging depth.
[0019] In one possible implementation, the step of correcting the logging depth of the distributed fiber optic acoustic logging curve based on the bottom position of the blowout preventer and the height between the square filler core and the bottom position of the blowout preventer, to obtain the corrected logging depth, includes:
[0020] According to the formula: d c =l-(h r +h d The distributed fiber optic acoustic logging curve is calibrated for logging depth to obtain the calibrated logging depth d. c Where l is the fiber length, h r h represents the bottom position of the blowout preventer. d The height between the square core and the bottom position of the blowout preventer.
[0021] Secondly, embodiments of this application provide a distributed fiber optic acoustic logging depth correction device, comprising:
[0022] The fiber optic length range determination module is used to analyze the distributed fiber optic acoustic logging waterfall diagram and determine the fiber optic length range corresponding to the blowout preventer location.
[0023] The bottom position determination module is used to perform a fast Fourier transform on the distributed fiber optic acoustic logging data within the length range of the optical fiber to determine the bottom position of the blowout preventer.
[0024] The logging depth correction module is used to correct the logging depth of the distributed fiber optic acoustic logging curve based on the bottom position of the blowout preventer, and obtain the corrected logging depth.
[0025] In one possible implementation, the fiber length range determination module is specifically used for:
[0026] Analysis of distributed fiber optic acoustic logging waterfall plots determined that the location with strong acoustic signal at the top of the fiber and regular vibration of the acoustic signal corresponds to the fiber length range of the blowout preventer location.
[0027] In one possible implementation, the bottom position determination module is specifically used for:
[0028] Fast Fourier transform is performed on the distributed fiber optic acoustic logging data within the fiber length range to obtain a fiber length-frequency waterfall plot.
[0029] The bottom position of the blowout preventer is determined by analyzing the fiber length-frequency waterfall plot.
[0030] In one possible implementation, analyzing the fiber length-frequency waterfall plot to determine the bottom position of the blowout preventer includes:
[0031] By analyzing the fiber length-frequency waterfall plot, the location with a low frequency and a strong bottom signal was selected as the bottom position of the blowout preventer.
[0032] In one possible implementation, the well logging depth correction module is specifically used for:
[0033] Based on the bottom position of the blowout preventer and the height between the square filler and the bottom position of the blowout preventer, the logging depth of the distributed fiber optic acoustic logging curve is corrected to obtain the corrected logging depth.
[0034] In one possible implementation, the well logging depth correction module is specifically used for:
[0035] According to the formula: d c =l-(h r +h dThe distributed fiber optic acoustic logging curve is calibrated for logging depth to obtain the calibrated logging depth d. c Where l is the fiber length, h r h represents the bottom position of the blowout preventer. d The height between the square core and the bottom position of the blowout preventer.
[0036] Thirdly, embodiments of this application provide an electronic device, including:
[0037] processor;
[0038] Memory;
[0039] And a computer program, wherein the computer program is stored in the memory, the computer program including instructions that, when executed by the processor, cause the electronic device to perform the method described in any one of the first aspects.
[0040] Fourthly, embodiments of this application provide a computer-readable storage medium including a stored program, wherein, when the program is executed, it controls the device where the computer-readable storage medium is located to perform the method described in any one of the first aspects.
[0041] In this embodiment, the approximate fiber length range corresponding to the location of the blowout preventer is determined by analyzing the distributed fiber acoustic logging waterfall plot. The specific location of the bottom of the blowout preventer is determined by using the fast Fourier transform of the distributed fiber acoustic logging data. Then, the logging depth is corrected by the distributed fiber acoustic logging curve to obtain the corrected logging depth, thus providing an accurate logging depth for the distributed fiber acoustic logging curve. Attached Figure Description
[0042] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the embodiments 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.
[0043] Figure 1 A schematic flowchart of a distributed fiber optic acoustic logging depth correction method provided in an embodiment of this application;
[0044] Figure 2 Distributed fiber optic acoustic logging waterfall diagram of well A provided in this application embodiment;
[0045] Figure 3 The fiber length-frequency waterfall plot obtained by performing a fast Fourier transform on the distributed fiber optic acoustic logging data of well A provided in this application embodiment;
[0046] Figure 4 The distributed fiber optic acoustic logging waterfall diagram is drawn after logging depth correction of the distributed fiber optic acoustic logging curve of well A, as provided in the embodiments of this application.
[0047] Figure 5 The noise standard deviation result calculated based on the distributed fiber optic acoustic curve after well logging depth correction of well A is provided for the embodiments of this application.
[0048] Figure 6 Distributed fiber optic acoustic logging waterfall diagram of well B provided in this application embodiment;
[0049] Figure 7 The fiber length-frequency waterfall plot obtained by performing a fast Fourier transform on the distributed fiber optic acoustic logging data of well B, as provided in the embodiments of this application.
[0050] Figure 8 The distributed fiber optic acoustic logging waterfall diagram is plotted after logging depth correction of the distributed fiber optic acoustic logging curve of well B, as provided in the embodiments of this application.
[0051] Figure 9 The noise standard deviation result calculated based on the distributed fiber optic acoustic waveform after logging depth correction of well B, provided for the embodiments of this application;
[0052] Figure 10 This application also provides a structural block diagram of a distributed fiber optic acoustic logging depth correction device;
[0053] Figure 11 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation
[0054] To better understand the technical solution of this application, the embodiments of this application will be described in detail below with reference to the accompanying drawings.
[0055] It should be understood that the described embodiments are merely some, not all, of the embodiments in this application. All other embodiments obtained by those skilled in the art based on the embodiments in this application without inventive effort are within the scope of protection of this application.
[0056] The terminology used in the embodiments of this application is for the purpose of describing particular embodiments only and is not intended to be limiting of this application. The singular forms “a,” “the,” and “the” used in the embodiments of this application and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise.
[0057] It should be understood that the term "and / or" used in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.
[0058] See Figure 1 This is a flowchart illustrating a distributed fiber optic acoustic logging depth correction method provided in an embodiment of this application. Figure 1 As shown, it mainly includes the following steps.
[0059] S101: Analyze the distributed fiber optic acoustic logging waterfall diagram to determine the fiber optic length range corresponding to the blowout preventer location.
[0060] To prevent blowouts, a blowout preventer (BOP) is installed above the wellhead during distributed fiber optic data measurement. Pressure is maintained through surface pressurization to prevent blowouts. The continuous pressurization process generates high-power acoustic vibrations of specific frequencies within the BOP, which appear as strong, periodic acoustic vibrations on the distributed fiber optic acoustic waveform. These vibrations are stronger than those generated during fluid extraction. Therefore, the location of the BOP at the fiber optic cable can be used as a depth calibration reference point.
[0061] Specifically, the location where the acoustic signal at the top of the optical fiber is strong and exhibits regular vibration is determined as the optical fiber length range corresponding to the location of the blowout preventer. In other words, the approximate location of the blowout preventer is chosen at the top of the optical fiber where the acoustic signal is strong and exhibits regular vibration.
[0062] It should be noted that, in practical applications, those skilled in the art can also use other technical means to determine the fiber length range corresponding to the blowout preventer position in the distributed fiber optic acoustic logging waterfall diagram according to actual needs. This application embodiment does not impose any limitations on this.
[0063] S102: Perform a fast Fourier transform on the distributed fiber optic acoustic logging data within the fiber optic length range to determine the bottom position of the blowout preventer.
[0064] To gain a more intuitive and accurate understanding of the characteristic changes in distributed fiber optic acoustic logging signals, a Fast Fourier Transform (FFT) was performed on the distributed fiber optic acoustic data measured at each fiber depth recording point within the fiber length range to obtain a fiber length-frequency waterfall plot of the acoustic signal. Analysis of this fiber length-frequency waterfall plot was then performed to determine the bottom position of the blowout preventer (BOP). Specifically, since the BOP pressurization has a fixed frequency and generates a strong acoustic signal, a location with a low frequency and a strong bottom signal can be selected as the bottom position of the BOP.
[0065] S103: Correct the logging depth of the distributed fiber optic acoustic logging curve based on the bottom position of the blowout preventer to obtain the corrected logging depth.
[0066] In practice, since the logging depth is generally based on the square core during drilling, and the square core is at a certain height from the bottom of the blowout preventer, the logging depth of the distributed fiber optic acoustic logging curve can be corrected based on the bottom position of the blowout preventer and the height between the square core and the bottom position of the blowout preventer to obtain the corrected logging depth.
[0067] Specifically, according to the formula: d c =l-(h r +h d The distributed fiber optic acoustic logging curve is calibrated for logging depth to obtain the calibrated logging depth d. c Where l is the fiber length, h r h represents the bottom position of the blowout preventer. d The height between the square core and the bottom position of the blowout preventer.
[0068] It should be noted that in some possible application scenarios, the logging depth of the distributed fiber optic acoustic logging curve can also be corrected based solely on the bottom position of the blowout preventer. This application does not impose specific limitations on this.
[0069] In this embodiment, the approximate fiber length range corresponding to the location of the blowout preventer is determined by analyzing the distributed fiber acoustic logging waterfall plot. The specific location of the bottom of the blowout preventer is determined by using the fast Fourier transform of the distributed fiber acoustic logging data. Then, the logging depth is corrected by the distributed fiber acoustic logging curve to obtain the corrected logging depth, thus providing an accurate logging depth for the distributed fiber acoustic logging curve.
[0070] To facilitate understanding, the solutions provided in the embodiments of this application will be described in detail below with reference to specific application scenarios.
[0071] In one possible implementation, distributed fiber optic acoustic logging is used to monitor Well A in a tight sandstone gas reservoir in a study area. First, a distributed fiber optic acoustic logging waterfall plot is created from acoustic logging curves measured continuously at different times, as shown below. Figure 2 As shown. By Figure 2 It can be seen that the acoustic vibration signal exhibits a very strong and clearly regular vibration response at 800-1200 meters along the optical fiber, thus determining that the approximate optical fiber length range corresponding to the blowout preventer's location is approximately 800-1200 meters. Then, a Fast Fourier Transform was performed on the distributed optical fiber acoustic data measured at each optical fiber depth recording point within the 800-1200 meter range to obtain the following... Figure 3The fiber length-frequency waterfall plot is shown. Since the blowout preventer (BOP) pressurization signal is low-frequency (around 16Hz), the location with a low-frequency, strong signal at the bottom (around 972 meters) was chosen as the BOP's bottom position. Finally, the distributed fiber optic acoustic logging curve was corrected for depth based on the BOP's bottom position to obtain the corrected distributed fiber optic acoustic logging curve. Figure 4 A waterfall plot is created by correcting the logging depth of distributed fiber optic acoustic logging curves measured continuously at different times. (Example) Figure 4 As shown, logging depth correction provides accurate logging depth for the interpretation of sonic logging curves (or waterfall plots), effectively eliminating invalid data above the wellhead. Figure 5 This is the noise standard deviation curve calculated after depth correction for distributed fiber optic acoustic logging. For example... Figure 5 As shown, the high noise standard deviations at 4950-5010m, 5030-5050m and 5080-5110m indicate that these segments are the main producing layers.
[0072] In another possible implementation, distributed fiber optic acoustic logging is used to monitor Well B in a tight sandstone gas reservoir in a study area. First, a waterfall plot is created from the acoustic logging curves measured continuously at different times, as shown below. Figure 6 As shown. By Figure 6 It can be seen that the acoustic vibration signal exhibits a very strong and clearly regular vibration response at 1100-1300 meters along the optical fiber, thus determining that the approximate optical fiber length range corresponding to the blowout preventer's location is approximately 1100-1300 meters. Then, a Fast Fourier Transform was performed on the distributed optical fiber acoustic data measured at each optical fiber depth recording point within the 1100-1300 meter range to obtain the following... Figure 7 The fiber length-frequency waterfall plot is shown. Since the blowout preventer (BOP) pressurization signal is low-frequency (around 18.5 Hz), the location with a low-frequency, strong signal at the bottom (around 1300 meters) was chosen as the BOP bottom. Finally, the distributed fiber optic acoustic logging curve was corrected for depth based on the BOP bottom location to obtain the corrected distributed fiber optic acoustic logging curve. Figure 8 A waterfall plot is created by correcting the logging depth of distributed fiber optic acoustic logging curves measured continuously at different times. (Example) Figure 8 As shown, logging depth correction provides accurate logging depth for the interpretation of sonic logging curves (or waterfall plots), effectively eliminating invalid data above the wellhead. Figure 9 This is the noise standard deviation curve calculated after depth correction for distributed fiber optic acoustic logging. For example... Figure 9 As shown, the high noise standard deviations at 5140-5160m, 5275-5295m, 5320-5340m and 5350-5365m indicate that these segments are the main producing layers.
[0073] Corresponding to the above embodiments, this application also provides a distributed fiber optic acoustic logging depth correction device.
[0074] See Figure 10 This application also provides a structural block diagram of a distributed fiber optic acoustic logging depth correction device. Figure 10 As shown, it mainly includes the following modules.
[0075] The fiber optic length range determination module 1001 is used to analyze the distributed fiber optic acoustic logging waterfall diagram and determine the fiber optic length range corresponding to the blowout preventer location.
[0076] The bottom position determination module 1002 is used to perform fast Fourier transform on distributed fiber optic acoustic logging data within the fiber optic length range to determine the bottom position of the blowout preventer.
[0077] The logging depth correction module 1003 is used to correct the logging depth of the distributed fiber optic acoustic logging curve based on the bottom position of the blowout preventer, and obtain the corrected logging depth.
[0078] In one possible implementation, the fiber length range determination module 1001 is specifically used to: analyze the distributed fiber acoustic logging waterfall diagram and determine the fiber length range corresponding to the blowout preventer position as the location where the acoustic signal at the top of the fiber is strong and the acoustic signal exhibits regular vibration.
[0079] In one possible implementation, the bottom position determination module 1002 is specifically used to: perform a fast Fourier transform on the distributed fiber optic acoustic logging data within the fiber length range to obtain a fiber length-frequency waterfall plot; and analyze the fiber length-frequency waterfall plot to determine the bottom position of the blowout preventer.
[0080] In one possible implementation, the fiber length-frequency waterfall plot is analyzed to determine the bottom position of the blowout preventer, including: analyzing the fiber length-frequency waterfall plot to determine the position of the blowout preventer as the bottom position of the low-frequency, strong bottom signal.
[0081] In one possible implementation, the logging depth correction module 1003 is specifically used to: correct the logging depth of the distributed fiber optic acoustic logging curve based on the bottom position of the blowout preventer and the height between the square filler and the bottom position of the blowout preventer, so as to obtain the corrected logging depth.
[0082] In one possible implementation, the logging depth correction module 1003 is specifically used to: [according to the formula: d] c =l-(h r +h dThe distributed fiber optic acoustic logging curve is calibrated for logging depth to obtain the calibrated logging depth d. c Where l is the fiber length, h r h is the bottom position of the blowout preventer. d The height between the square core and the bottom position of the blowout preventer.
[0083] In this embodiment, the approximate fiber length range corresponding to the location of the blowout preventer is determined by analyzing the distributed fiber acoustic logging waterfall plot. The specific location of the bottom of the blowout preventer is determined by using the fast Fourier transform of the distributed fiber acoustic logging data. Then, the logging depth is corrected by the distributed fiber acoustic logging curve to obtain the corrected logging depth, thus providing an accurate logging depth for the distributed fiber acoustic logging curve.
[0084] Corresponding to the above embodiments, this application also provides an electronic device.
[0085] See Figure 11 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 11 As shown, the electronic device 1100 may include a processor 1101, a memory 1102, and a communication unit 1103. These components communicate via one or more buses. Those skilled in the art will understand that the electronic device structure shown in the figure does not constitute a limitation on the embodiments of this application. It may be a bus topology or a star topology, and may include more or fewer components than shown, or combine certain components, or have different component arrangements.
[0086] The communication unit 1103 is used to establish a communication channel, thereby enabling the electronic device to communicate with other devices.
[0087] The processor 1101 serves as the control center of the electronic device, connecting various parts of the device via various interfaces and lines. It executes software programs and / or modules stored in the memory 1102, and calls data stored in the memory to perform various functions and / or process data. The processor can be composed of integrated circuits (ICs), such as a single packaged IC or multiple packaged ICs with the same or different functions connected together. For example, the processor 1101 may consist only of a central processing unit (CPU). In this embodiment, the CPU may have a single processing core or include multiple processing cores.
[0088] Memory 1102 is used to store the execution instructions of processor 1101. Memory 1102 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk or optical disk.
[0089] When the execution instructions in memory 1102 are executed by processor 1101, the electronic device 1100 is able to perform some or all of the steps in the above method embodiments.
[0090] Corresponding to the above embodiments, this application also provides a computer-readable storage medium, wherein the computer-readable storage medium may store a program, wherein when the program runs, it can control the device where the computer-readable storage medium is located to execute some or all of the steps in the above method embodiments. Specifically, the computer-readable storage medium may be a magnetic disk, an optical disk, read-only memory (ROM), or random access memory (RAM), etc.
[0091] Corresponding to the above embodiments, this application also provides a computer program product containing executable instructions that, when executed on a computer, cause the computer to perform some or all of the steps in the above method embodiments.
[0092] In this application embodiment, "at least one" refers to one or more, and "more than one" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent the existence of A alone, the simultaneous existence of A and B, or the existence of B alone. A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one of the following" and similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, and c can represent: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or multiple.
[0093] Those skilled in the art will recognize that the units and algorithm steps described in the embodiments disclosed herein can be implemented using electronic hardware, computer software, or a combination of electronic hardware and software. 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.
[0094] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.
[0095] In the several embodiments provided in this application, any function, if implemented as a software functional unit and sold or used as an independent product, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.
[0096] The above description is merely a specific embodiment of this application. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the protection scope of this application. The protection scope of this application should be determined by the protection scope of the claims.
Claims
1. A distributed fiber optic acoustic logging depth correction method, characterized in that, include: Analyze the distributed fiber optic acoustic logging waterfall diagram to determine the fiber optic length range corresponding to the blowout preventer location; A fast Fourier transform is performed on the distributed fiber optic acoustic logging data within the length range of the optical fiber to determine the bottom position of the blowout preventer. The logging depth of the distributed fiber optic acoustic logging curve is corrected based on the bottom position of the blowout preventer to obtain the corrected logging depth.
2. The method according to claim 1, characterized in that, The analysis of the distributed fiber optic acoustic logging waterfall diagram to determine the fiber optic length range corresponding to the blowout preventer location includes: Analysis of distributed fiber optic acoustic logging waterfall plots determined that the location with strong acoustic signal at the top of the fiber and regular vibration of the acoustic signal corresponds to the fiber length range of the blowout preventer location.
3. The method according to claim 1, characterized in that, The step of performing a fast Fourier transform on the distributed fiber optic acoustic logging data within the fiber optic length range to determine the bottom position of the blowout preventer includes: Fast Fourier transform is performed on the distributed fiber optic acoustic logging data within the fiber length range to obtain a fiber length-frequency waterfall plot. The bottom position of the blowout preventer is determined by analyzing the fiber length-frequency waterfall plot.
4. The method according to claim 3, characterized in that, The analysis of the fiber length-frequency waterfall plot to determine the bottom position of the blowout preventer includes: By analyzing the fiber length-frequency waterfall plot, the location with a low frequency and a strong bottom signal was selected as the bottom position of the blowout preventer.
5. The method according to claim 1, characterized in that, The step of correcting the logging depth of the distributed fiber optic acoustic logging curve based on the bottom position of the blowout preventer to obtain the corrected logging depth includes: Based on the bottom position of the blowout preventer and the height between the square filler and the bottom position of the blowout preventer, the logging depth of the distributed fiber optic acoustic logging curve is corrected to obtain the corrected logging depth.
6. The method according to claim 5, characterized in that, The step of correcting the logging depth of the distributed fiber optic acoustic logging curve based on the bottom position of the blowout preventer and the height between the square filler core and the bottom position of the blowout preventer, to obtain the corrected logging depth, includes: According to the formula: d c =l-(h r +h d The distributed fiber optic acoustic logging curve is calibrated for logging depth to obtain the calibrated logging depth d. c Where l is the fiber length, h r h represents the bottom position of the blowout preventer. d The height between the square core and the bottom position of the blowout preventer.
7. A distributed fiber optic acoustic logging depth correction device, characterized in that, include: The fiber optic length range determination module is used to analyze the distributed fiber optic acoustic logging waterfall diagram and determine the fiber optic length range corresponding to the blowout preventer location. The bottom position determination module is used to perform a fast Fourier transform on the distributed fiber optic acoustic logging data within the length range of the optical fiber to determine the bottom position of the blowout preventer. The logging depth correction module is used to correct the logging depth of the distributed fiber optic acoustic logging curve based on the bottom position of the blowout preventer, and obtain the corrected logging depth.
8. The apparatus according to claim 7, characterized in that, The fiber length range determination module is specifically used for: Analysis of distributed fiber optic acoustic logging waterfall plots determined that the location with strong acoustic signal at the top of the fiber and regular vibration of the acoustic signal corresponds to the fiber length range of the blowout preventer location.
9. The apparatus according to claim 7, characterized in that, The bottom position determination module is specifically used for: Fast Fourier transform is performed on the distributed fiber optic acoustic logging data within the fiber length range to obtain a fiber length-frequency waterfall plot. The bottom position of the blowout preventer is determined by analyzing the fiber length-frequency waterfall plot.
10. The apparatus according to claim 9, characterized in that, The analysis of the fiber length-frequency waterfall plot to determine the bottom position of the blowout preventer includes: By analyzing the fiber length-frequency waterfall plot, the location with a low frequency and a strong bottom signal was selected as the bottom position of the blowout preventer.
11. The apparatus according to claim 6, characterized in that, The well logging depth correction module is specifically used for: Based on the bottom position of the blowout preventer and the height between the square filler and the bottom position of the blowout preventer, the logging depth of the distributed fiber optic acoustic logging curve is corrected to obtain the corrected logging depth.
12. The apparatus according to claim 11, characterized in that, The well logging depth correction module is specifically used for: According to the formula: h c =l-(h r +h d The distributed fiber optic acoustic logging curve is calibrated for logging depth to obtain the calibrated logging depth d. c Where l is the fiber length, h r h represents the bottom position of the blowout preventer. d The height between the square core and the bottom position of the blowout preventer.
13. An electronic device, characterized in that, include: processor; Memory; And a computer program, wherein the computer program is stored in the memory, the computer program including instructions that, when executed by the processor, cause the electronic device to perform the method of any one of claims 1 to 6.
14. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, wherein, when the program is executed, it controls the device on which the computer-readable storage medium is located to perform the method according to any one of claims 1 to 6.