Method, device, equipment and medium for identifying fracturing cracks in hidden reservoirs near wells

Abstract

The embodiment of the present invention provides a method, device, equipment and medium for identifying fracturing cracks in a concealed reservoir near a well, wherein the method comprises: obtaining shear wave long-range detection logging data before well fracturing and shear wave long-range detection logging data after fracturing; determining multiple groups of offset imaging of fast shear wave reflection waves in different orientations based on the shear wave long-range detection logging data before fracturing; determining a first offset imaging slice where natural fractures are most developed from the offset imaging of multiple groups of fast shear wave reflection waves in different orientations, wherein the first offset imaging slice includes the development of natural fractures; determining multiple groups of fast shear wave reflection waves in different orientations based on shear wave long-range detection logging data after fracturing; determining a fast shear wave reflection wave in the orientation with the strongest energy from multiple groups of fast shear wave reflection waves in different orientations, generating offset imaging with the determined fast shear wave reflection waves, and obtaining a second offset imaging slice; identifying the development degree and development orientation of the fracturing cracks based on the first offset imaging slice and the second offset imaging slice.

Description

Technical Field

[0001] The present invention relates to the technical field of seismic exploration, and in particular to a method, device, equipment and medium for identifying fracturing cracks in concealed reservoirs near a well. Background Art

[0002] Conventional array acoustic logging can be used to effectively evaluate reservoir information near the wellbore wall (usually within 3 meters). It has the advantage of high vertical resolution, but it cannot identify hidden fracture reservoirs far away from the wellbore wall. Although seismic exploration has the advantage of a wide detection range, it also has the problem of low resolution. Both are helpless for small-scale reservoirs deep in the formation. The first generation of monopole longitudinal wave long-range detection extended the detection depth of acoustic logging to 10 meters beside the well, but could not determine the development direction of fracture reflectors. The new generation of dipole shear wave long-range detection technology determines the development direction of fractures through dipole sound source transmission and four-component detector reception, reducing the main frequency of the sound source from about 8kHz to 3kHz, and further extending the detection depth to 24 meters (instrument XMAC-Ⅱ) and 40 meters (instrument XMAC-F1), but the detection depth is still limited.

[0003] As the exploration and development of various oilfield blocks deepens, reservoirs are gradually becoming more concealed and inferior, and reservoir fracturing and reservoir evaluation near the wellbore have become the key to increasing reserves and production. However, the existing methods cannot identify the development of fractures around the wellbore. Summary of the invention

[0004] The embodiment of the present invention provides a method for identifying hydraulic fractures in a hidden reservoir near a well, so as to solve the technical problem that the development of hydraulic fractures around a well cannot be identified in the prior art. The method comprises:

[0005] Obtaining shear wave long-range detection logging data before fracturing and shear wave long-range detection logging data after fracturing;

[0006] Determining the offset imaging of multiple groups of fast shear wave reflection waves in different directions according to the shear wave remote detection logging data before fracturing;

[0007] Determine a first migration imaging slice where natural fractures are most developed from migration imaging of multiple groups of fast shear wave reflection waves in different directions, wherein the first migration imaging slice includes the development of natural fractures;

[0008] Determining multiple groups of fast shear wave reflection waves in different directions according to the post-fracturing shear wave remote detection logging data;

[0009] Determine the fast shear wave reflection wave with the strongest energy from multiple groups of fast shear wave reflection waves in different directions, generate a migration image with the determined fast shear wave reflection wave, and obtain a second migration imaging slice;

[0010] The development degree and development orientation of the fracturing cracks are identified according to the first offset imaging slice and the second offset imaging slice.

[0011] The embodiment of the present invention also provides a device for identifying hydraulic fractures in hidden reservoirs near a well, so as to solve the technical problem that the development of hydraulic fractures around a well cannot be identified in the prior art. The device includes:

[0012] A logging data acquisition module is used to acquire shear wave remote detection logging data before fracturing and shear wave remote detection logging data after fracturing;

[0013] An offset imaging module is used to determine the offset imaging of multiple groups of fast shear wave reflection waves in different directions based on the shear wave remote detection logging data before fracturing;

[0014] A first migration imaging slice determination module, used to determine a first migration imaging slice where natural fractures are most developed from a plurality of groups of migration imaging of fast shear wave reflection waves in different directions, wherein the first migration imaging slice includes the development of natural fractures;

[0015] A module for determining multiple groups of fast shear wave reflection waves, used to determine multiple groups of fast shear wave reflection waves in different directions according to the shear wave remote detection logging data after fracturing;

[0016] A second offset imaging slice determination module is used to determine the fast shear wave reflection wave with the strongest energy from multiple groups of fast shear wave reflection waves in different directions, generate offset imaging with the determined fast shear wave reflection wave, and obtain a second offset imaging slice;

[0017] The fracturing crack identification module is used to identify the development degree and development orientation of the fracturing crack according to the first offset imaging slice and the second offset imaging slice.

[0018] An embodiment of the present invention also provides a computer 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 any of the above-mentioned methods for identifying fracturing cracks in hidden reservoirs near the well, so as to solve the technical problem that the development of fracturing cracks around the well cannot be identified in the prior art.

[0019] An embodiment of the present invention also provides a computer-readable storage medium storing a computer program for executing any of the above-mentioned methods for identifying fracturing cracks in hidden reservoirs near the well, so as to solve the technical problem that the development of fracturing cracks around the well cannot be identified in the prior art.

[0020] In an embodiment of the present invention, it is proposed to obtain shear wave remote detection logging data before fracturing and shear wave remote detection logging data after fracturing, and obtain multiple groups of offset imaging of fast shear wave reflection waves in different orientations based on the processing of the shear wave remote detection logging data before fracturing, and then determine the first offset imaging slice where the natural fractures are most developed from the offset imaging of the multiple groups of fast shear wave reflection waves in different orientations. The fractures displayed by the first offset imaging slice are all natural fractures. At the same time, multiple groups of fast shear wave reflection waves in different orientations are obtained based on the processing of shear wave remote detection logging data after fracturing, and then determine the fast shear wave reflection waves in the orientation with the strongest energy from the multiple groups of fast shear wave reflection waves in different orientations, generate offset imaging with the determined fast shear wave reflection waves, and obtain a second offset imaging slice. The fractures displayed by the second offset imaging slice may be natural fractures or hydraulic fractures. Therefore, by combining and comparing the first offset imaging slice and the second offset imaging slice, the hydraulic fractures can be identified, and the development degree and development orientation of the hydraulic fractures can be identified. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The drawings described herein are used to provide a further understanding of the present invention, constitute a part of the present application, and do not constitute a limitation of the present invention. In the drawings:

[0022] Figure 1 This is a flow chart of a method for identifying fracturing cracks in a hidden reservoir near a well provided by an embodiment of the present invention;

[0023] Figure 2 It is a schematic diagram of a process and result of extracting shear wave reflection waves from shear wave remote detection logging data before fracturing of Well X provided by an embodiment of the present invention;

[0024] Figure 3 Schematic diagram of fast shear wave reflection waveforms at different orientations of Well X before fracturing provided by an embodiment of the present invention;

[0025] Figure 4 It is a schematic diagram of the waveform of the fast shear wave reflection wave in the strongest and weakest energy directions of Well X after fracturing provided by an embodiment of the present invention;

[0026] Figure 5 It is a comparison diagram of the migration imaging slices of the fast shear wave reflection wave before and after fracturing provided by an embodiment of the present invention;

[0027] Figure 6 is a structural schematic diagram of a computer device provided by an embodiment of the present invention;

[0028] Figure 7 It is a structural schematic diagram of a wellside concealed reservoir fracturing crack identification device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0029] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments and the accompanying drawings. Here, the illustrative embodiments of the present invention and their descriptions are used to explain the present invention, but are not intended to limit the present invention.

[0030] In an embodiment of the present invention, a method for identifying fracturing cracks in a hidden reservoir near a well is provided. Figure 1 As shown, the method includes:

[0031] Step 102: obtaining shear wave long-range detection logging data before fracturing and shear wave long-range detection logging data after fracturing;

[0032] Step 104: determining a plurality of groups of shifted images of fast shear wave reflection waves in different directions according to the shear wave long-range detection logging data before fracturing;

[0033] Step 106: determining a first migration imaging slice where natural fractures are most developed from a plurality of groups of migration imaging of fast shear wave reflection waves in different directions, wherein the first migration imaging slice includes the development of natural fractures;

[0034] Step 108: determining a plurality of groups of fast shear wave reflection waves in different directions according to the post-fracturing shear wave remote detection logging data;

[0035] Step 110: determining the fast shear wave reflection wave at the azimuth with the strongest energy from a plurality of groups of fast shear wave reflection waves at different azimuths, generating a migration image of the determined fast shear wave reflection wave, and obtaining a second migration imaging slice;

[0036] Step 112: Identify the development degree and development orientation of the hydraulic fractures according to the first offset imaging slice and the second offset imaging slice.

[0037] Depend on Figure 1As can be seen from the process shown, in the embodiment of the present invention, it is proposed to obtain the shear wave remote detection logging data before fracturing and the shear wave remote detection logging data after fracturing, and to obtain multiple groups of offset imaging of fast shear wave reflection waves in different orientations based on the shear wave remote detection logging data before fracturing, and then determine the first offset imaging slice where the natural fractures are most developed from the offset imaging of the multiple groups of fast shear wave reflection waves in different orientations, and the fractures displayed by the first offset imaging slice are all natural fractures. At the same time, multiple groups of fast shear wave reflection waves in different orientations are obtained based on the shear wave remote detection logging data after fracturing, and then determine the fast shear wave reflection waves in the orientation with the strongest energy from the multiple groups of fast shear wave reflection waves in different orientations, generate offset imaging with the determined fast shear wave reflection waves, and obtain a second offset imaging slice, and the fractures displayed by the second offset imaging slice may be natural fractures or hydraulic fractures. Therefore, by combining and comparing the first offset imaging slice and the second offset imaging slice, the hydraulic fractures can be identified, and the development degree and development orientation of the hydraulic fractures can be identified.

[0038] In specific implementation, for a certain well, shear wave remote detection logging data can be collected before and after fracturing, respectively, to obtain shear wave remote detection logging data before fracturing and shear wave remote detection logging data after fracturing. Usually, a multipole array acoustic logging instrument can be used for collection, and the four-component dipole shear wave waveform in the collected data is the shear wave remote detection raw data. In addition, the collected data of shear wave remote detection logging data before fracturing also includes the azimuth curve of the acoustic logging instrument, which is used to determine the azimuth of the acoustic logging instrument when it rotates underground.

[0039] In specific implementation, after obtaining the shear wave remote detection logging data before fracturing, the following steps can be performed to determine the offset imaging of multiple groups of fast shear wave reflection waves in different directions according to the shear wave remote detection logging data before fracturing, for example,

[0040] Obtaining a four-component dipole shear wave reflection waveform according to the shear wave remote detection logging data before fracturing;

[0041] Determine multiple groups of fast shear wave reflection waveforms in different azimuths based on the azimuth curve of the acoustic logging instrument in the wellbore and the four-component dipole shear wave reflection waveform, wherein adjacent azimuth groups are spaced at a preset angle;

[0042] Migration imaging is generated for each of the multiple groups of fast shear wave reflection waveforms at different orientations.

[0043] In specific implementation, the shear wave reflection wave step-by-step extraction method can be used to sequentially process the shear wave remote detection logging data before fracturing to obtain the four-component dipole shear wave reflection wave waveform. Figure 2As shown in the figure, the step-by-step extraction method of shear wave reflection wave mainly includes five steps: digital bandpass filtering, median filtering, tilted median filtering, amplitude recovery, and superposition denoising. The purpose of digital bandpass filtering is to suppress high-frequency burr noise and low-frequency baseline offset noise; the purpose of median filtering is to suppress the direct wave of the wellbore; the purpose of tilted median filtering is to suppress the formation interface wave; the purpose of amplitude recovery is to recover the reflected wave signal far outside the well; the purpose of superposition denoising is to enhance the reflected wave signal by superimposing the waveforms received by different receivers at the same center point.

[0044] like Figure 2 As shown in the figure, the first track is the depth track (indicated by D), and the second track is the YY component waveform (WVYYO) in the four-component shear wave original waveform. The third track is the shear wave waveform after digital bandpass filtering (WVYY), which filters out the low-frequency Stoneley wave noise in the waveform; the fourth track is the shear wave waveform after median filtering (FKYY), which suppresses the borehole direct wave; the fifth track is the shear wave waveform after inclined median filtering (SMYY), which suppresses the formation interface wave; the sixth track is the shear wave waveform after amplitude recovery (IQFYY), and it can be observed that the shear wave reflection wave with a later arrival time is revealed; the seventh track is the YY component shear wave reflection wave waveform (CYY) after superposition denoising, and it can be seen that the direct wave signal of the participating shear wave that arrives earlier is further suppressed, while the shear wave reflection wave signal that arrives later is clearer.

[0045] In specific implementation, the following steps can be used to determine multiple groups of fast shear wave reflection waveforms in different orientations based on the azimuth curve of the acoustic logging instrument in the well and the four-component shear wave reflection waveform. For example, based on the azimuth curve of the acoustic logging instrument in the well, the four-component dipole shear wave reflection waveform is converted into geodetic coordinates using a vector rotation method; based on the four-component dipole shear wave reflection waveform on the geodetic coordinates, multiple groups of fast shear wave reflection waveforms in different orientations are determined.

[0046] Specifically, the four-component dipole shear wave reflection wave is converted to the geodetic coordinates, i.e., the north-south direction and the east-west direction, using the vector rotation method. The method is shown in formula (1).

[0047]

[0048] Where XX, XY, YX, and YY represent the waveform of the four-component dipole shear wave reflection. N , XY N , YX N ,YY N represents the waveform of the four-component dipole shear wave reflection wave after being relocated to the geodetic coordinates, and a represents the azimuth of the acoustic logging tool in the well. For example, the preset angle between adjacent azimuth groups is 10 degrees, and 18 groups of fast shear wave reflection waves are obtained by vector rotation as an example, as shown in formula (2).

[0049] SH β =XX N cos 2 (β)-(XY N +YX N )cos(β)sin(β)+YY N sin 2 (β) (2)

[0050] Where SH β represents the fast shear wave reflection wave, and β represents the azimuth of the fast shear wave reflection wave, for example, its value is 10°, 20°, …, 180°.

[0051] Specifically, Figure 3 Demonstrated by processing Figure 2 The four-component dipole shear wave reflection waveforms before fracturing are shown in Figure 2, and two sets of fast shear wave reflection waveforms are obtained. Figure 3 The first track is the depth track, the second track is the north-south fast shear wave reflection waveform (indicated by NS), where the middle vertical bar represents the wellbore, the left side of the wellbore is the upward reflection wave, and the right side is the downward reflection wave. The third track is the east-west fast shear wave reflection wave (indicated by EW). By comparing the second and third tracks, it can be found that there are obvious effective reflection wave signals in the third track, especially the upward reflection wave near 7740m and the downward reflection wave near 7760m marked by the circle. This shows that the effective reflection wave, that is, the natural fracture, is mainly east-west.

[0052] In specific implementation, based on the four-component dipole shear wave reflection waveform in the geodetic coordinates, in the process of determining the migration imaging of multiple groups of fast shear wave reflection waveforms in different directions, Kirchhoff migration imaging can be performed to obtain 18 groups of migration imaging slices of fast shear wave reflection waves. Because the logging observation system determines that the fast shear wave reflection wave includes both the upgoing reflection wave and the downgoing reflection wave, the upgoing and downgoing waves must be separated using the frequency wavenumber domain method before the migration imaging.

[0053] In specific implementation, after obtaining the post-fracturing shear wave long-range detection logging data, the following steps can be used to determine multiple groups of fast shear wave reflection waves in different orientations based on the post-fracturing shear wave long-range detection logging data. For example, based on the post-fracturing shear wave long-range detection logging data, a four-component shear wave reflection wave waveform is obtained; the four-component shear wave reflection wave waveform is processed depth point by depth point to determine multiple groups of fast shear wave reflection waves in different orientations.

[0054] Specifically, because the logging process after fracturing is usually carried out in a metal casing, the metal casing will make the azimuth measurement of the acoustic logging instrument invalid. At this time, the data processing method before fracturing can no longer be used to obtain the fastest shear wave reflection wave with the strongest energy of the reflector. To address this problem, it is necessary to process the four-component shear wave reflection waveform after fracturing one by one, and multiple groups of fast shear wave reflection waves in different azimuths. For example, 18 groups of fast shear wave reflection waves with adjacent intervals of 10 degrees are obtained, and the group of fast shear wave reflection wave waveforms with the strongest energy are selected from them, so as to obtain the fast shear wave reflection wave with the strongest energy in the entire processing depth section. The calculation start time and the calculation end time need to be considered in the calculation process. Usually, the calculation start time is taken after 5ms, that is, after the residual borehole direct wave oscillation time. The selected fast shear wave reflection wave with the strongest energy is subjected to Kirchhoff migration to obtain the migration imaging of the fast shear wave reflection wave with the strongest energy in the azimuth, and then the above-mentioned second migration imaging slice is obtained.

[0055] Specific amount, Figure 4 The fast shear wave reflection waveforms at the strongest and weakest energy directions are obtained by processing the shear wave long-range detection logging data of Well X after fracturing. Figure 4 The first track is the depth track, the second track is the fast shear wave reflection wave (represented by SH) in the direction with the strongest energy, among which there is an obvious reflection wave signal near 7760m (as shown in the circle); the third track is the fast shear wave reflection wave (represented by SV) in the direction with the weakest energy, among which no obvious reflection wave signal is found.

[0056] In specific implementation, the cracks shown in the fast shear wave reflection wave offset imaging slice before fracturing (i.e., the first offset imaging slice mentioned above) are all natural cracks, from which the development degree and development orientation of natural cracks can be determined; the cracks shown in the fast shear wave reflection wave offset imaging slice after fracturing (i.e., the second offset imaging slice mentioned above) may be natural cracks or fracturing cracks. By comparing the fast shear wave reflection wave offset imaging slices before and after fracturing, the development of fracturing cracks in the fast shear wave reflection wave offset imaging slice after fracturing can be identified, including the development degree and development orientation. Figure 5 As shown, Figure 5 The third and fourth tracks in the figure show the fast shear wave reflection wave migration imaging slices before fracturing and the fast shear wave reflection wave migration imaging slices after fracturing, respectively. By comparison, it can be seen that a crack is shown on both slices (as indicated by the solid line): the depth is around 7750m and the radial distance from the wellbore is 20m. This crack is a natural crack, which exists in the migration imaging slices before and after fracturing, and the position remains unchanged. In the migration imaging slice after fracturing, there are multiple groups of cracks at the 7750-7760m position (as indicated by the dotted line), which do not appear in the migration imaging slice before fracturing. Therefore, the cracks marked with dotted lines are fracturing cracks.

[0057] In specific implementation, the process of implementing the above-mentioned method for identifying fractures in the hidden reservoir near the well includes the following steps:

[0058] Step 1: Collect relevant logging data of the research block, including shear wave long-range detection logging data before fracturing and shear wave long-range detection logging data after fracturing;

[0059] Step 2: Process the shear wave remote detection logging data collected before fracturing to obtain the four-component dipole shear wave reflection waveform;

[0060] Step 3: Combined with the instrument orientation curve, the four-component dipole shear wave reflection wave before fracturing is processed to obtain 18 sets of fast shear wave reflection wave waveforms at intervals of 10 degrees;

[0061] Step 4: Kirchhoff migration imaging is performed on the 18 sets of fast shear wave reflection waveforms in sequence to obtain 18 sets of migration imaging slices in different azimuths, from which the azimuth slice with the most developed natural fractures (i.e., the first migration imaging slice mentioned above) is selected;

[0062] Step 5: Process the shear wave long-range detection logging data collected after fracturing to obtain a four-component shear wave reflection waveform;

[0063] Step 6: Calculate the most energetic fast shear wave reflection wave at each depth point;

[0064] Step 7: Perform Kirchhoff migration imaging on the fast shear wave reflection wave with the strongest energy to obtain a fast shear wave migration imaging slice (i.e., the second migration imaging slice mentioned above);

[0065] Step 8: Compare the fast shear wave reflection migration imaging slices before fracturing and the fast shear wave reflection migration imaging slices after fracturing to identify natural fractures and fracturing fractures, and further determine the development of fracturing fractures.

[0066] In this embodiment, a computer device is provided, such as Figure 6 As shown, it includes a memory 602, a processor 604 and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, any of the above-mentioned methods for identifying fractures in a hidden reservoir near a wellbore is implemented.

[0067] Specifically, the computer device may be a computer terminal, a server or a similar computing device.

[0068] In this embodiment, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program for executing any of the above-mentioned methods for identifying fractures in a wellbore concealed reservoir.

[0069] Specifically, computer-readable storage media include permanent and non-permanent, removable and non-removable media that can be used to store information by any method or technology. Information can be computer-readable instructions, data structures, program modules or other data. Examples of computer-readable storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable storage media does not include temporary computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0070] Based on the same inventive concept, an embodiment of the present invention also provides a device for identifying hydraulic fractures in a hidden reservoir beside a well, as described in the following embodiments. Since the principle of solving the problem by the device for identifying hydraulic fractures in a hidden reservoir beside a well is similar to that of the method for identifying hydraulic fractures in a hidden reservoir beside a well, the implementation of the device for identifying hydraulic fractures in a hidden reservoir beside a well can refer to the implementation of the method for identifying hydraulic fractures in a hidden reservoir beside a well, and the repeated parts will not be repeated. As used below, the term "unit" or "module" can be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceived.

[0071] Figure 7 : is a structural block diagram of a device for identifying fracturing cracks in a hidden reservoir near a well according to an embodiment of the present invention. Figure 7 As shown, the device comprises:

[0072] The logging data acquisition module 702 is used to acquire the shear wave remote detection logging data before fracturing and the shear wave remote detection logging data after fracturing;

[0073] The migration imaging module 704 is used to determine the migration imaging of multiple groups of fast shear wave reflection waves in different directions according to the shear wave remote detection logging data before fracturing;

[0074] A first migration imaging slice determination module 706 is used to determine a first migration imaging slice where natural fractures are most developed from a plurality of groups of migration imaging of fast shear wave reflection waves in different directions, wherein the first migration imaging slice includes the development of natural fractures;

[0075] A multiple-group fast shear wave reflection wave determination module 708 is used to determine multiple groups of fast shear wave reflection waves in different directions according to the post-fracturing shear wave remote detection logging data;

[0076] The second migration imaging slice determination module 710 is used to determine the fast shear wave reflection wave with the strongest energy from multiple groups of fast shear wave reflection waves in different directions, generate a migration image with the determined fast shear wave reflection wave, and obtain a second migration imaging slice;

[0077] The fracturing crack identification module 712 is used to identify the development degree and development orientation of the fracturing cracks according to the first offset imaging slice and the second offset imaging slice.

[0078] In one embodiment, the offset imaging module comprises:

[0079] A shear wave reflection waveform acquisition unit, used for acquiring a four-component shear wave reflection waveform according to the shear wave remote detection logging data before fracturing;

[0080] A plurality of groups of fast shear wave reflection wave determination units, used to determine a plurality of groups of fast shear wave reflection wave waveforms in different azimuths according to the azimuth curve of the acoustic logging instrument in the wellbore and the four-component shear wave reflection wave waveforms, wherein adjacent azimuth groups are spaced at a preset angle;

[0081] The offset imaging unit is used to generate offset imaging for a plurality of groups of fast shear wave reflection wave waveforms in different directions.

[0082] In one embodiment, the multiple groups of fast shear wave reflection wave determination units are specifically used to convert the four-component shear wave reflection wave waveform into geodetic coordinates based on the azimuth curve of the acoustic logging instrument in the well using a vector rotation method; based on the four-component shear wave reflection wave waveform on the geodetic coordinates, determine multiple groups of fast shear wave reflection wave waveforms in different orientations.

[0083] In one embodiment, the multiple groups of fast shear wave reflection wave determination modules are specifically used to obtain a four-component shear wave reflection wave waveform based on the post-fracturing shear wave long-range detection logging data; and process the four-component shear wave reflection wave waveform depth point by depth point to determine multiple groups of fast shear wave reflection waves in different orientations.

[0084] The embodiment of the present invention achieves the following technical effects: it proposes to obtain shear wave remote detection logging data before fracturing and shear wave remote detection logging data after fracturing, and obtain multiple groups of offset imaging of fast shear wave reflection waves in different directions based on the processing of the shear wave remote detection logging data before fracturing, and then determine the first offset imaging slice where the natural fractures are most developed from the offset imaging of the multiple groups of fast shear wave reflection waves in different directions, and the fractures displayed by the first offset imaging slice are all natural fractures. At the same time, multiple groups of fast shear wave reflection waves in different directions are obtained based on the processing of shear wave remote detection logging data after fracturing, and then determine the fast shear wave reflection waves in the direction with the strongest energy from the multiple groups of fast shear wave reflection waves in different directions, generate offset imaging for the determined fast shear wave reflection waves, and obtain a second offset imaging slice, and the fractures displayed by the second offset imaging slice may be natural fractures or hydraulic fractures. Therefore, by combining and comparing the first offset imaging slice and the second offset imaging slice, the hydraulic fractures can be identified, and the development degree and development direction of the hydraulic fractures can be identified.

[0085] Obviously, those skilled in the art should understand that the modules or steps of the above-mentioned embodiments of the present invention can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, and optionally, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order from that here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. In this way, the embodiments of the present invention are not limited to any specific combination of hardware and software.

[0086] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the embodiments of the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for identifying fracturing cracks in a hidden reservoir near a well, characterized in that: include: Obtaining shear wave long-range detection logging data before fracturing and shear wave long-range detection logging data after fracturing; Determining the offset imaging of multiple groups of fast shear wave reflection waves in different directions according to the shear wave remote detection logging data before fracturing; Determine a first migration imaging slice where natural fractures are most developed from migration imaging of multiple groups of fast shear wave reflection waves in different directions, wherein the first migration imaging slice includes the development of natural fractures; According to the shear wave remote detection logging data after fracturing, multiple groups of fast shear wave reflection waves in different directions are determined; wherein, according to the shear wave remote detection logging data after fracturing, a four-component shear wave reflection wave waveform is obtained; the four-component shear wave reflection wave waveform is processed depth by depth point to determine multiple groups of fast shear wave reflection waves in different directions; Determine the fast shear wave reflection wave with the strongest energy from multiple groups of fast shear wave reflection waves in different directions, generate a migration image with the determined fast shear wave reflection wave, and obtain a second migration imaging slice; Identifying the development degree and development orientation of the hydraulic fractures according to the first offset imaging slice and the second offset imaging slice; Wherein, according to the shear wave remote detection logging data before fracturing, multiple groups of offset imaging of fast shear wave reflection waves in different azimuths are determined, including: according to the shear wave remote detection logging data before fracturing, a four-component dipole shear wave reflection waveform is obtained; according to the azimuth curve of the acoustic logging instrument in the well and the four-component dipole shear wave reflection waveform, multiple groups of fast shear wave reflection waveforms in different azimuths are determined, wherein adjacent azimuth groups are spaced at a preset angle; offset imaging is generated for multiple groups of fast shear wave reflection waveforms in different azimuths respectively; According to the azimuth curve of the acoustic logging instrument in the well and the four-component shear wave reflection waveform, a plurality of groups of fast shear wave reflection waveforms in different azimuths are determined, including: according to the azimuth curve of the acoustic logging instrument in the well, using a vector rotation method to convert the four-component dipole shear wave reflection waveform into geodetic coordinates; based on the four-component dipole shear wave reflection waveform on geodetic coordinates, a plurality of groups of fast shear wave reflection waveforms in different azimuths are determined.

2. A device for identifying fracturing cracks in hidden reservoirs near a well, characterized in that: include: A logging data acquisition module is used to acquire shear wave remote detection logging data before fracturing and shear wave remote detection logging data after fracturing; An offset imaging module is used to determine the offset imaging of multiple groups of fast shear wave reflection waves in different directions based on the shear wave remote detection logging data before fracturing; A first migration imaging slice determination module, used to determine a first migration imaging slice where natural fractures are most developed from a plurality of groups of migration imaging of fast shear wave reflection waves in different directions, wherein the first migration imaging slice includes the development of natural fractures; A module for determining multiple groups of fast shear wave reflection waves is used to determine multiple groups of fast shear wave reflection waves in different directions according to the shear wave remote detection logging data after fracturing; wherein, according to the shear wave remote detection logging data after fracturing, a four-component shear wave reflection wave waveform is obtained; the four-component shear wave reflection wave waveform is processed at each depth point to determine multiple groups of fast shear wave reflection waves in different directions. A second offset imaging slice determination module is used to determine the fast shear wave reflection wave with the strongest energy from multiple groups of fast shear wave reflection waves in different directions, generate offset imaging with the determined fast shear wave reflection wave, and obtain a second offset imaging slice; A fracturing crack identification module, used to identify the development degree and development orientation of the fracturing crack according to the first offset imaging slice and the second offset imaging slice; The offset imaging module includes: a shear wave reflection waveform acquisition unit, used to obtain a four-component shear wave reflection waveform according to the shear wave remote detection logging data before fracturing; a plurality of groups of fast shear wave reflection waveform determination units, used to determine a plurality of groups of fast shear wave reflection waveforms in different orientations according to the azimuth curve of the acoustic logging instrument downhole and the four-component shear wave reflection waveform, wherein adjacent azimuth groups are spaced at a preset angle; and an offset imaging unit, used to generate offset imaging for the plurality of groups of fast shear wave reflection waveforms in different orientations respectively; The multiple groups of fast shear wave reflection wave determination units are specifically used to convert the four-component shear wave reflection wave waveform into geodetic coordinates based on the azimuth curve of the acoustic logging instrument in the well using a vector rotation method; based on the four-component shear wave reflection wave waveform on the geodetic coordinates, determine multiple groups of fast shear wave reflection wave waveforms in different orientations.

3. A computer 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, the method for identifying fracturing cracks in a hidden reservoir near a well as claimed in claim 1 is implemented.

4. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program for executing the method for identifying hydraulic fractures in a hidden reservoir near a wellbore as claimed in claim 1.

Images