Gas-water distribution detection method and system based on earthquake low-frequency enhanced amplitude

Abstract

The invention belongs to the field of oil gas detection, particularly relates to a gas-water distribution detection method and system based on earthquake low-frequency enhanced amplitude, and aims to solve the problem that gas and water distribution of a fluid layer in an effective area cannot be identified in the prior art. The method comprises the following steps: acquiring an oil-gas well to be subjected to gas-water distribution detection and original seismic data corresponding to the oil-gas well; performing wavelet transform calculation on each stage of frequency in the original seismic data to obtain each single-frequency data volume; according to the single-frequency body data and the original seismic data, low-frequency enhanced amplitude is calculated through a low-frequency enhanced amplitude calculation method; judging whether a low-frequency enhanced amplitude index corresponding to the low-frequency enhanced amplitude accords with a set threshold value or not; and if yes, performing comparative analysis on the original root-mean-square amplitude in the original seismic data and the low-frequency enhanced amplitude, and determining a gas-water distribution detection result. The problem of high difficulty in identifying gas and water layers of oil and gas wells is solved, and the detection accuracy is improved.

Description

Background Art

[0002] With the continuous advancement of exploration technology, the use of seismic data for oil and gas detection has become an important means in oil and gas exploration and development, especially in the development of unconventional oil and gas reservoirs, its role is becoming increasingly prominent. Seismic oil and gas detection technology is mainly divided into two categories: pre-stack and post-stack. Pre-stack oil and gas detection is mainly based on the AVO response characteristics after the reservoir contains oil and gas, with a large amount of analysis data and slow calculation speed; post-stack oil and gas detection is mainly based on the frequency, amplitude and other anomalies shown in the post-stack data after the reservoir contains oil and gas, with a small amount of analysis data and fast calculation speed.

[0003] In recent years, with the continuous improvement and optimization of algorithms such as seismic spectrum decomposition, seismic spectrum decomposition technology, time-frequency analysis technology, and instantaneous attribute analysis technology have also been rapidly developed and applied. In particular, the method of using seismic spectrum to predict oil, gas and water has gradually matured.

[0004] Detecting the gas and water distribution of oil and gas wells through seismic spectrum is of great significance to the development of oil and gas fields. Existing oil and gas detection methods mainly include fluid activity attributes, ABV oil and gas detection and other methods. The main principle is to extract the abnormally enhanced or attenuated parts of seismic low-frequency or high-frequency information through different algorithms to guide gas detection. Practical application shows that the above methods have a good identification effect on fluid-containing permeable reservoirs, but cannot accurately identify the fluid properties in permeable reservoirs, especially the Sulige tight sandstone. The above technology cannot effectively distinguish between gas and water layers. Summary of the invention

[0005] In order to solve the above problems in the prior art, that is, to solve the problem that the prior art cannot identify the gas and water distribution of the fluid layer in the effective area, the present invention provides a method for detecting gas and water distribution based on seismic low-frequency enhanced amplitude, the method mainly comprising:

[0006] Acquire the oil and gas wells to be tested for gas and water distribution and the original seismic data corresponding to the oil and gas wells;

[0007] Perform wavelet transform calculation on each stage frequency in the original seismic data to obtain each single frequency; calculate the low-frequency enhancement amplitude according to each single frequency volume data and the original seismic data by using a low-frequency enhancement amplitude calculation method;

[0008] Determine whether the low-frequency enhanced amplitude index corresponding to the low-frequency enhanced amplitude meets the set threshold; if so, compare and analyze the original root mean square amplitude in the original seismic data and the low-frequency enhanced amplitude to determine the gas-water distribution detection result corresponding to the oil and gas well to be tested for gas-water distribution;

[0009] In an optional embodiment, the method for calculating the low-frequency enhanced amplitude in the gas-water distribution detection method based on seismic low-frequency enhanced amplitude mainly includes: screening each single-frequency data body according to the spectral characteristics of each single-frequency data body, and selecting a single-frequency body with obvious characteristics; based on the amplitude of the single-frequency data body corresponding to the lowest frequency, the single-frequency body amplitude of the single-frequency body with obvious characteristics and the original amplitude in the original seismic data, the low-frequency enhanced amplitude is obtained through the low-frequency enhanced amplitude calculation method.

[0010] In an optional implementation, the original root mean square amplitude and the low-frequency enhanced amplitude in the original seismic data are compared and analyzed to determine the gas-water distribution detection result corresponding to the oil and gas well to be subjected to gas-water distribution detection, and the method mainly includes:

[0011] If the original root mean square amplitude is greater than the set first amplitude threshold, and the low-frequency enhanced amplitude is greater than the set second amplitude threshold, it indicates that the reservoir is well developed and has good gas content;

[0012] If the original root mean square amplitude is greater than the set third amplitude threshold, and the low-frequency enhanced amplitude is less than the set fourth amplitude threshold, it means that the reservoir is well developed, but the gas content is poor and the water saturation is high;

[0013] If the original root mean square amplitude is less than the set fifth amplitude threshold, and the low-frequency enhanced amplitude is greater than the set sixth amplitude threshold, it means that the reservoir thickness is average, but has certain gas content;

[0014] If the original RMS amplitude is smaller than the set seventh amplitude threshold, and the low-frequency enhanced amplitude is smaller than the set eighth amplitude threshold, it indicates that the reservoir thickness is average and the physical property is relatively dense.

[0015] In an optional implementation, if the characteristics of the low-frequency enhancement amplitude do not meet the historical low-frequency enhancement amplitude index, jump to step S300.

[0016] In an optional implementation, the single-frequency body with obvious characteristics is selected by:

[0017] The single-frequency data volume with the largest amplitude is selected as the single-frequency volume with obvious characteristics.

[0018] In an optional implementation, the low frequency enhancement amplitude calculation method is:

[0019] Among them, As is the low-frequency enhancement amplitude; A is the original amplitude in the original seismic data; m is the low-frequency amplitude ratio; AfL1 is the amplitude corresponding to the single-frequency data body in the lowest frequency band; AfL2 is the amplitude corresponding to the single-frequency body with obvious characteristics; n is the gas and water influence factor; a is the gas and water influence threshold value, and AfLwater represents the single-frequency body amplitude with obvious response of the water-bearing reservoir.

[0020] In an optional embodiment, whether the low-frequency enhanced amplitude index corresponding to the low-frequency enhanced amplitude meets the set threshold is judged as follows: if the first slope of the gas well corresponding to the low-frequency enhanced amplitude is greater than the set ninth threshold and / or the first amplitude corresponding to the low-frequency enhanced amplitude is greater than the set tenth threshold and the second slope of the water well corresponding to the low-frequency enhanced amplitude is greater than the set eleventh threshold and less than the set twelfth threshold and / or the third slope of the dry well corresponding to the low-frequency enhanced amplitude is greater than the set thirteenth threshold, it indicates compliance; the first amplitude is the amplitude of a single-frequency data body with a frequency of 10 Hz for the water well;

[0021] The historical low-frequency enhanced amplitude index includes: the first slope of the gas well, the amplitude of the single-frequency data body with a frequency of 10 Hz of the water well, the second slope of the water well, and the third slope of the dry well;

[0022] The first slope is the slope of a curve in a two-dimensional coordinate axis where the amplitude of the gas well changes with the frequency of the gas well when the ordinate is the amplitude of the gas well and the abscissa is the frequency of the gas well;

[0023] The second slope is the slope of a curve in a two-dimensional coordinate axis where the amplitude of the water well changes with the frequency of the water well when the ordinate is the amplitude of the water well and the abscissa is the frequency of the water well;

[0024] The third slope is the slope of a curve in a two-dimensional coordinate axis, where the ordinate is the amplitude of the dry well and the abscissa is the frequency of the dry well, and the amplitude of the dry well varies with the frequency of the dry well.

[0025] Another aspect of the present invention provides a gas-water distribution detection system based on seismic low-frequency enhanced amplitude, the system comprising:

[0026] A data acquisition module, used to acquire the oil and gas wells to be tested for gas and water distribution and the original seismic data corresponding to the oil and gas wells;

[0027] A first calculation module is used to perform wavelet transform calculations on the frequencies of each stage in the original seismic data to obtain each single-frequency data volume;

[0028] A second calculation module is used to calculate the low-frequency enhancement amplitude according to each single-frequency volume data and the original seismic data by using a low-frequency enhancement amplitude calculation method;

[0029] The data judgment module is used to judge whether the low-frequency enhancement amplitude index corresponding to the low-frequency enhancement amplitude meets the set threshold; if it meets the threshold, the original root mean square amplitude in the original seismic data and the low-frequency enhancement amplitude are compared and analyzed to determine the gas-water distribution detection result corresponding to the oil and gas well to be tested for gas-water distribution.

[0030] The third aspect of the present invention proposes an electronic device, comprising: at least one processor; and a memory communicatively connected to at least one of the processors; wherein the memory stores instructions executable by the processor, and the instructions are used to be executed by the processor to implement the above-mentioned method of gas and water distribution detection based on seismic low-frequency enhanced amplitude.

[0031] In a fourth aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to be executed by the computer to implement the above-mentioned method for gas-water distribution detection based on seismic low-frequency enhanced amplitude.

[0032] Beneficial effects of the present invention:

[0033] (1) The present invention obtains the oil and gas wells to be tested for gas and water distribution and the original seismic data corresponding to the oil and gas wells, performs wavelet transform calculations on the frequencies of each stage in the original seismic data, and obtains each single-frequency data volume; calculates the low-frequency enhancement amplitude according to the single-frequency volume data and the original seismic data by a low-frequency enhancement amplitude calculation method; determines whether the low-frequency enhancement amplitude is consistent with the corresponding historical low-frequency enhancement amplitude index; if so, compares and analyzes the root mean square amplitude in the original seismic data and the low-frequency enhancement amplitude, thereby determining the gas and water distribution detection result corresponding to the oil and gas wells to be tested for gas and water distribution, which is of great significance for the exploration of oil and gas wells.

[0034] (2) The present invention obtains seismic data of the oil and gas wells to be detected, performs wavelet transform calculation on the seismic data and calculates the low-frequency enhanced amplitude, thereby determining the gas-water distribution characteristics of the oil and gas wells, which plays an important role in determining the gas-water distribution of the Sulige tight sandstone gas reservoir;

[0035] (3) The present invention obtains seismic data of oil and gas wells, performs wavelet transform calculation on the seismic data and calculates the low-frequency enhanced amplitude, thereby determining the gas-water distribution characteristics of the oil and gas wells and the gas-water distribution of the Sulige tight sandstone gas reservoir, which has important reference value and use value for the exploration and development of oil and gas wells; BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Other features, objects and advantages of the present application will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings:

[0037] Figure 1 It is a flow chart of a method for detecting gas and water distribution based on seismic low-frequency enhanced amplitude according to an embodiment of the present invention;

[0038] Figure 2 It is a simplified flow chart of a method for detecting gas and water distribution based on seismic low-frequency enhanced amplitude according to an embodiment of the present invention;

[0039] Figure 3 It is a structural diagram of a computer system of a server for implementing the method, system, and device embodiments of the present application according to an embodiment of the present invention. DETAILED DESCRIPTION

[0040] The present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the relevant invention, rather than to limit the invention. It is also necessary to explain that, for ease of description, only the parts related to the relevant invention are shown in the accompanying drawings.

[0041] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0042] The first embodiment of the present invention provides a preferred method for detecting gas and water distribution based on seismic low-frequency enhanced amplitude, such as Figure 1 , the method comprises the following steps: S100, obtaining an oil and gas well to be tested for gas and water distribution and original seismic data corresponding to the oil and gas well;

[0043] Specifically, the existing technology can be used to roughly determine that the oil and gas wells to be tested for gas and water distribution are dry wells, or oil and gas wells with fluidity but unable to distinguish whether they are water or gas. Then, the reservoir development and gas, water and physical properties of the oil and gas wells to be tested for gas and water distribution are determined by the gas and water distribution detection method based on seismic low-frequency enhanced amplitude. Optionally, the oil and gas wells to be tested for gas and water distribution can be obtained by comparing the characteristics of single oil and gas wells. For example, taking the Su 176 three-dimensional area of ​​the Su 49 block in the Sulige Cooperation Area as an example, the S35-77 well and the S35-80 well Box 8 lower section were drilled to encounter reservoirs of 18.3m and 17.7m respectively, and the comparison relationship is good, but the S35-77 well has no effective reservoir and develops an 8.7m aquifer; the S35-80 well develops a 14.1m effective reservoir and no aquifer. Conventional seismic profiles show that the seismic phase axes of the target layers of the two wells are relatively continuous; the frequency of S35-77 well is relatively low and the amplitude is relatively weak; the fluid activity attribute profile shows that both wells have certain fluid activity indications, but it is impossible to distinguish whether it is gas or water. S35-77 can be selected as the oil and gas well to be tested for gas and water distribution.

[0044] The original seismic data include the frequency, original amplitude and original root mean square amplitude of each stage of the oil and gas wells to be tested for gas and water distribution. S200, performing wavelet transform calculation on each frequency stage in the original seismic data to obtain each single frequency data volume;

[0045] Preferably, a frequency from 5 Hz to 60 Hz may be selected to generate a single-frequency data volume at intervals of 5 Hz.

[0046] An optional implementation method is to input the frequency of each stage into Matlab software and use wavelet transform mode for calculation, so that the frequency of different stages can obtain the corresponding single product data body. S300, calculating the low-frequency enhancement amplitude according to each single-frequency volume data and the original seismic data by using a low-frequency enhancement amplitude calculation method;

[0047] The method for selecting a single-frequency body with obvious characteristics is that if the amplitude of a single-frequency data body is greater than the amplitude of any other single-frequency data body (the largest one is selected), the amplitude of the single-frequency data body is considered to be abnormal and is regarded as a single-frequency body with obvious characteristics.

[0048] The above step 300 specifically includes the following two steps: S301, screening each single-frequency data body according to the frequency spectrum characteristics of each single-frequency data body, and selecting a single-frequency body with obvious characteristics. The method for selecting the single-frequency body with obvious characteristics is: selecting the single-frequency data body with the largest amplitude as the single-frequency body with obvious characteristics; S302, based on the amplitude of the single-frequency data body corresponding to the lowest frequency, the single-frequency body amplitude of the single-frequency body with obvious characteristics and the original amplitude in the original seismic data, the low-frequency enhanced amplitude is obtained by the low-frequency enhanced amplitude calculation method. S400, determining whether the low-frequency enhanced amplitude index corresponding to the low-frequency enhanced amplitude meets the set threshold; if so, performing comparative analysis on the original root mean square amplitude in the original seismic data and the low-frequency enhanced amplitude to determine the gas-water distribution detection result corresponding to the oil and gas well to be subjected to gas-water distribution detection.

[0049] In step S400, if the characteristic of the low-frequency enhancement amplitude does not meet the historical low-frequency enhancement amplitude index, jump to step S300.

[0050] Based on the above-mentioned gas-water distribution detection method based on seismic low-frequency enhanced amplitude, specifically, based on the above-mentioned embodiment, the calculation method of the low-frequency enhanced amplitude is specifically:

[0051] Where As is the low-frequency enhancement amplitude; A is the original amplitude in the original seismic data; m is the low-frequency amplitude ratio; A fL1A is the amplitude corresponding to the single-frequency data volume in the lowest frequency band; fL2 is the amplitude corresponding to the single frequency body with obvious characteristics; n is the air and water influence factor; a is the air and water influence threshold value, A fL水 Indicates the single-frequency body amplitude with obvious water-bearing reservoir response. The low frequency band is the frequency band with a frequency lower than the main frequency, which is related to the seismic data, generally 8-10HZ. Specifically, the quality of seismic data is different, and the frequency of each frequency band is also different.

[0052] In the above step S400, the root mean square amplitude and the low-frequency enhanced amplitude in the original seismic data of the characteristic well are compared and analyzed to determine the gas-water distribution detection result corresponding to the oil and gas well to be subjected to gas-water distribution detection. The method is:

[0053] If the original root mean square amplitude is greater than the set first amplitude threshold, and the low-frequency enhanced amplitude is greater than the set second amplitude threshold, it indicates that the reservoir is well developed and has good gas content;

[0054] Optionally, the first amplitude threshold reference value is 3000cm, and the root mean square amplitude is cross-analyzed with the sand body thickness. The root mean square amplitude is proportional to the sand body thickness. When the root mean square amplitude is greater than 4000cm, the sand body thickness is generally greater than 15 meters, indicating that the reservoir is developed. Under different geological conditions, the threshold may be different and needs to be obtained based on the intersection analysis of actual drilling data.

[0055] Optionally, the second amplitude threshold reference value is 6000cm, and the low-frequency enhancement amplitude is cross-analyzed with the effective sand body thickness. The low-frequency enhancement amplitude is proportional to the effective sand body thickness. When the low-frequency enhancement amplitude is greater than 6000cm, the effective sand body thickness is generally greater than 8 meters, indicating that the reservoir has good gas content. Under different geological conditions, the threshold may be different and needs to be obtained based on the intersection analysis of actual drilling data.

[0056] If the original root mean square amplitude is greater than the set third amplitude threshold, and the low-frequency enhanced amplitude is less than the set fourth amplitude threshold, it means that the reservoir is well developed, but the gas content is poor and the water saturation is high;

[0057] Optionally, the third amplitude threshold reference value is 4000 cm, and the fourth amplitude threshold reference value is 6000 cm. Under different geological conditions, the thresholds may be different and need to be obtained based on the intersection analysis of actual drilling data.

[0058] If the original root mean square amplitude is less than the set fifth amplitude threshold, and the low-frequency enhanced amplitude is greater than the set sixth amplitude threshold, it means that the reservoir thickness is average, but has certain gas content;

[0059] Optionally, the fifth amplitude threshold reference value is 4000 cm, and the sixth amplitude threshold reference value is 6000 cm. Under different geological conditions, the thresholds may be different and need to be obtained based on the intersection analysis of actual drilling data.

[0060] If the original RMS amplitude is smaller than the set seventh amplitude threshold, and the low-frequency enhanced amplitude is smaller than the set eighth amplitude threshold, it indicates that the reservoir thickness is average and the physical property is relatively dense.

[0061] Optionally, the seventh amplitude threshold reference value is 4000 cm, and the eighth amplitude threshold reference value is 6000 cm. Under different geological conditions, the thresholds may be different and need to be obtained based on the intersection analysis of actual drilling data.

[0062] In the above preferred implementation manner, by obtaining the oil and gas wells to be tested for gas and water distribution and the original seismic data corresponding to the oil and gas wells, wavelet transform calculations are performed on the frequencies of each stage in the original seismic data to obtain each single-frequency data body; based on each single-frequency body data and the original seismic data, the low-frequency enhancement amplitude is calculated by a low-frequency enhancement amplitude calculation method; it is determined whether the low-frequency enhancement amplitude index corresponding to the low-frequency enhancement amplitude meets the set threshold; if so, a comparative analysis is performed on the original root mean square amplitude in the original seismic data and the low-frequency enhancement amplitude, so as to determine the gas-water distribution detection result corresponding to the oil and gas wells to be tested for gas and water distribution, which is of great significance for the exploration of oil and gas wells.

[0063] In the above step S400, the method for determining whether the low-frequency enhancement amplitude index corresponding to the low-frequency enhancement amplitude meets the set threshold is:

[0064] If the first slope of the gas well corresponding to the low-frequency enhanced amplitude is greater than the set ninth threshold value and / or the first amplitude corresponding to the low-frequency enhanced amplitude is greater than the set tenth threshold value and the second slope of the water well corresponding to the low-frequency enhanced amplitude is greater than the set eleventh threshold value and less than the set twelfth threshold value and / or the third slope of the dry well corresponding to the low-frequency enhanced amplitude is greater than the set thirteenth threshold value, it indicates compliance; the first amplitude is the amplitude of a single-frequency data body with a frequency of 10 Hz for the water well;

[0065] The historical low-frequency enhanced amplitude index includes: the first slope of the gas well, the amplitude of the single-frequency data body with a frequency of 10 Hz of the water well, the second slope of the water well, and the third slope of the dry well;

[0066] Specifically, if it is impossible to determine whether the oil and gas well to be detected and distributed for gas and water is a gas well or a water well, then if the first slope of the gas well in the low-frequency enhanced amplitude index corresponding to the low-frequency enhanced amplitude meets the threshold, or if the amplitude of the single-frequency data body with a frequency of 10 Hz for the water well and the second slope of the water well meet the threshold, then the low-frequency enhanced amplitude index corresponding to the low-frequency enhanced amplitude meets the set threshold, and then the gas-water distribution detection method in this article is used to determine whether it is water or gas.

[0067] The first slope is the slope of a curve in a two-dimensional coordinate axis where the amplitude of the gas well changes with the frequency of the gas well when the ordinate is the amplitude of the gas well and the abscissa is the frequency of the gas well;

[0068] Specifically, the first slope represents the speed at which the amplitude in the gas well changes with the frequency. Generally speaking, the first slope is a positive number. Optionally, the reference value of the ninth threshold is 1.73, which may vary slightly under different environments.

[0069] The second slope is the slope of a curve in a two-dimensional coordinate axis where the amplitude of the water well changes with the frequency of the water well when the ordinate is the amplitude of the water well and the abscissa is the frequency of the water well;

[0070] Specifically, in different environments, the second slope indicates the speed at which the amplitude in the water well changes with the slope. In different environments, the values ​​of the tenth threshold, the eleventh threshold, and the twelfth threshold are also different. Generally speaking, the reference value of the first threshold is 1000, the reference value of the eleventh threshold is 1, and the reference value of the twelfth threshold is 1.73. In different environments, the thresholds may be different.

[0071] The third slope is the slope of a curve in a two-dimensional coordinate axis, in which the amplitude of the dry well varies with the frequency of the dry well, when the ordinate is the amplitude of the dry well and the abscissa is the frequency of the dry well.

[0072] Specifically, the third slope represents the speed at which the amplitude of the dry well changes with the frequency. The reference value of the thirteenth threshold is 1. The threshold may be different in different environments.

[0073] Combination Figure 2 , provides an optional method for gas-water distribution detection based on seismic low-frequency enhanced amplitude, the method comprising the following contents:

[0074] Seismic response and spectrum characteristic analysis are performed on each single oil and gas well, and single oil and gas wells with good reservoirs and certain fluidity characteristics, but which cannot be distinguished as gas or water, are selected as oil and gas wells to be detected. The single-frequency data bodies corresponding to the frequencies of each stage of the oil and gas wells are calculated by wavelet transform. Each single-frequency body is screened based on amplitude. The amplitude screening method is that if the amplitude of a single-frequency data body is greater than the amplitude of any other single-frequency data body, the amplitude of the single-frequency data body is considered to be abnormal, and the single-frequency data body is used as a single-frequency body with obvious characteristics. After selecting two single-frequency bodies with obvious characteristics, the original amplitudes of the two single-frequency bodies with obvious characteristics and the original seismic data are substituted into the low-frequency enhancement amplitude formula to calculate the low-frequency enhancement amplitude, and the calculated low-frequency enhancement amplitude is verified with the historical low-frequency enhancement amplitude index. If it is consistent with the historical low-frequency enhancement amplitude index, then it is compared and analyzed with the previous original amplitude data to determine the gas-water distribution characteristics. The specific details of this method are all specifically described in the above embodiments, and will not be specifically elaborated here.

[0075] Although the various steps in the above embodiment are described in the above-mentioned order, those skilled in the art can understand that in order to achieve the effect of this embodiment, different steps do not have to be executed in such an order. They can be executed simultaneously (in parallel) or in a reverse order. These simple changes are within the scope of protection of the present invention.

[0076] The gas-water distribution detection system based on seismic low-frequency enhanced amplitude according to the second embodiment of the present invention comprises the following:

[0077] A data acquisition module, used to acquire the oil and gas wells to be tested for gas and water distribution and the original seismic data corresponding to the oil and gas wells;

[0078] A first calculation module is used to perform wavelet transform calculations on the frequencies of each stage in the original seismic data to obtain each single-frequency data volume;

[0079] A second calculation module is used to calculate the low-frequency enhancement amplitude according to each single-frequency volume data and the original seismic data by using a low-frequency enhancement amplitude calculation method;

[0080] The data judgment module is used to judge whether the low-frequency enhanced amplitude index corresponding to the low-frequency enhanced amplitude meets the set threshold; if so, the original root mean square amplitude in the original seismic data and the low-frequency enhanced amplitude are compared and analyzed to determine the gas-water distribution detection result corresponding to the oil and gas well to be subjected to gas-water distribution detection.

[0081] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process and related instructions of the system described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0082] It should be noted that the gas-water distribution detection system based on seismic low-frequency enhanced amplitude provided in the above embodiment is only illustrated by the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the modules or steps in the embodiments of the present invention can be decomposed or combined. For example, the modules in the above embodiment can be combined into one module, or further divided into multiple sub-modules to complete all or part of the functions described above. The names of the modules and steps involved in the embodiments of the present invention are only for distinguishing the modules or steps, and are not regarded as improper limitations on the present invention.

[0083] An electronic device according to the third embodiment of the present invention comprises: at least one processor; and a memory connected to the at least one processor in communication; wherein the memory stores instructions executable by the processor, and the instructions are used to be executed by the processor to implement the above-mentioned gas and water distribution detection method based on seismic low-frequency enhanced amplitude.

[0084] A fourth embodiment of the present invention is a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to be executed by a computer to implement the above-mentioned gas-water distribution detection method based on seismic low-frequency enhanced amplitude.

[0085] Technicians in the relevant technical field can clearly understand that, for the convenience and brevity of description, the specific working process and related instructions of the electronic device and computer-readable storage medium described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0086] Reference below Figure 3 , which shows a structural diagram of a computer system of a server suitable for implementing the method, device, electronic device and computer-readable storage medium embodiments of the present application. Figure 3 The server shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0087] like Figure 3 As shown, the computer system includes a central processing unit (CPU) 301, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 302 or the program loaded from the storage part 308 to the random access memory (RAM) 303. In RAM 303, various programs and data required for system operation are also stored. CPU 301, ROM 302 and RAM 303 are connected to each other through a bus 304. Input / output (I / O) interface 305 is also connected to bus 304.

[0088] The following components are connected to the I / O interface 305: an input section 306 including a keyboard, a mouse, etc.; an output section 307 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker; a storage section 308 including a hard disk, etc.; and a communication section 309 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 309 performs communication processing via a network such as the Internet. A drive 310 is also connected to the I / O interface 305 as needed. A removable medium 311, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 310 as needed so that a computer program read therefrom is installed into the storage section 308 as needed.

[0089] It should be noted that the computer-readable medium (i.e., the removable medium 311) mentioned above in the present application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0090] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0091] The block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the system or computer program product according to various embodiments of the present application. It should also be noted that in some alternative implementations, the functions marked in the boxes may also occur in an order different from that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram, and the combination of boxes in the block diagram, can be implemented with a dedicated hardware-based system that performs the specified functions or operations, or can be implemented with a combination of dedicated hardware and computer instructions.

[0092] The terms "first", "second", etc. are used to distinguish similar objects rather than to describe or indicate a particular order or sequence.

[0093] The term "comprise" or any other similar term is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus / device that includes a list of elements includes not only those elements but also other elements not expressly listed, or also includes elements inherent to such process, method, article, or apparatus / device.

[0094] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A gas-water distribution detection method based on seismic low-frequency enhanced amplitude, characterized in that: The method comprises: S100, obtaining an oil and gas well to be tested for gas and water distribution and original seismic data corresponding to the oil and gas well; S200, performing wavelet transform calculation on each frequency stage in the original seismic data to obtain each single frequency data volume; S300, calculating the low-frequency enhancement amplitude according to each single-frequency volume data and the original seismic data by using a low-frequency enhancement amplitude calculation method; S400, determining whether the low-frequency enhanced amplitude index corresponding to the low-frequency enhanced amplitude meets the set threshold; if so, performing comparative analysis on the original root mean square amplitude in the original seismic data and the low-frequency enhanced amplitude to determine the gas-water distribution detection result corresponding to the oil and gas well to be subjected to gas-water distribution detection.

2. The gas-water distribution detection method based on seismic low-frequency enhanced amplitude according to claim 1 is characterized in that: The low-frequency enhancement amplitude is calculated as follows: S301, screening each single frequency data volume according to its frequency spectrum characteristics, and selecting a single frequency volume with obvious characteristics; S302, based on the amplitude of the single-frequency data body corresponding to the lowest frequency, the single-frequency body amplitude of the single-frequency body with obvious characteristics and the original amplitude in the original seismic data, the low-frequency enhanced amplitude is obtained by the low-frequency enhanced amplitude calculation method.

3. The gas-water distribution detection method based on seismic low-frequency enhanced amplitude according to claim 1 is characterized in that: The original root mean square amplitude and the low-frequency enhanced amplitude in the original seismic data are compared and analyzed to determine the gas-water distribution detection result corresponding to the oil and gas well to be subjected to gas-water distribution detection, and the method is as follows: If the original root mean square amplitude is greater than the set first amplitude threshold, and the low-frequency enhanced amplitude is greater than the set second amplitude threshold, it indicates that the reservoir is well developed and has good gas content; If the original root mean square amplitude is greater than the set third amplitude threshold, and the low-frequency enhanced amplitude is less than the set fourth amplitude threshold, it means that the reservoir is well developed, but the gas content is poor and the water saturation is high; If the original root mean square amplitude is less than the set fifth amplitude threshold, and the low-frequency enhanced amplitude is greater than the set sixth amplitude threshold, it means that the reservoir thickness is average, but has certain gas content; If the original RMS amplitude is smaller than the set seventh amplitude threshold, and the low-frequency enhanced amplitude is smaller than the set eighth amplitude threshold, it indicates that the reservoir thickness is average and the physical property is relatively dense.

4. The gas-water distribution detection method based on seismic low-frequency enhanced amplitude according to claim 1 is characterized in that: If the characteristic of the low-frequency enhancement amplitude does not meet the historical low-frequency enhancement amplitude index, jump to step S300.

5. The gas-water distribution detection method based on seismic low-frequency enhanced amplitude according to claim 2, characterized in that: The characteristic is obviously single-frequency body, and the selection method is: The single-frequency data volume with the largest amplitude is selected as the single-frequency volume with obvious characteristics.

6. The gas-water distribution detection method based on seismic low-frequency enhanced amplitude according to claim 3 is characterized in that: The low-frequency enhancement amplitude calculation method is: Where As is the low-frequency enhancement amplitude; A is the original amplitude in the original seismic data; m is the low-frequency amplitude ratio; A fL1 A is the amplitude corresponding to the single-frequency data volume in the lowest frequency band; fL2 is the amplitude corresponding to the single frequency body with obvious characteristics; n is the air and water influence factor; a is the air and water influence threshold value, A fL水 A single-frequency body amplitude indicating a clear water-bearing reservoir response.

7. The gas-water distribution detection method based on seismic low-frequency enhanced amplitude according to claim 1 is characterized in that: The method for judging whether the low-frequency enhancement amplitude index corresponding to the low-frequency enhancement amplitude meets the set threshold is as follows: If the first slope of the gas well corresponding to the low-frequency enhanced amplitude is greater than the set ninth threshold value and / or the first amplitude corresponding to the low-frequency enhanced amplitude is greater than the set tenth threshold value and the second slope of the water well corresponding to the low-frequency enhanced amplitude is greater than the set eleventh threshold value and less than the set twelfth threshold value and / or the third slope of the dry well corresponding to the low-frequency enhanced amplitude is greater than the set thirteenth threshold value, it indicates compliance; the first amplitude is the amplitude of a single-frequency data body with a frequency of 10 Hz for the water well; The historical low-frequency enhanced amplitude index includes: the first slope of the gas well, the amplitude of the single-frequency data body with a frequency of 10 Hz of the water well, the second slope of the water well, and the third slope of the dry well; The first slope is the slope of a curve in a two-dimensional coordinate axis where the amplitude of the gas well changes with the frequency of the gas well when the ordinate is the amplitude of the gas well and the abscissa is the frequency of the gas well; The second slope is the slope of a curve in a two-dimensional coordinate axis where the amplitude of the water well changes with the frequency of the water well when the ordinate is the amplitude of the water well and the abscissa is the frequency of the water well; The third slope is the slope of a curve in a two-dimensional coordinate axis, where the ordinate is the amplitude of the dry well and the abscissa is the frequency of the dry well, and the amplitude of the dry well varies with the frequency of the dry well.

8. A gas-water distribution detection system based on seismic low-frequency enhanced amplitude, characterized in that: The system comprises: A data acquisition module, used to acquire the oil and gas wells to be tested for gas and water distribution and the original seismic data corresponding to the oil and gas wells; A first calculation module is used to perform wavelet transform calculations on the frequencies of each stage in the original seismic data to obtain each single-frequency data volume; A second calculation module is used to calculate the low-frequency enhancement amplitude according to each single-frequency volume data and the original seismic data by using a low-frequency enhancement amplitude calculation method; The data judgment module is used to judge whether the low-frequency enhanced amplitude index corresponding to the low-frequency enhanced amplitude meets the set threshold; if so, the original root mean square amplitude in the original seismic data and the low-frequency enhanced amplitude are compared and analyzed to determine the gas-water distribution detection result corresponding to the oil and gas well to be subjected to gas-water distribution detection.

9. An electronic device, characterized in that: include: at least one processor; And a memory communicatively connected to at least one of the processors; wherein the memory stores instructions executable by the processor, and the instructions are used to be executed by the processor to implement the method for gas and water distribution detection based on seismic low-frequency enhanced amplitude as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to be executed by the computer to implement the method for gas and water distribution detection based on seismic low-frequency enhanced amplitude as described in any one of claims 1-7.

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