Coherent imaging method, device and equipment for remote detection imaging domain of well logging

Abstract

The present invention provides a method, device and equipment for coherent imaging in a well logging remote detection imaging domain, and relates to the technical field of oil and gas exploration and development. The method comprises: obtaining remote detection offset data of well logging; performing offset imaging on the remote detection offset data of well logging to obtain offset imaging results; horizontally stacking the offset imaging results along the offset direction to obtain an initial stacking section; performing bootstrap coherent enhancement in the depth direction on the initial stacking section to obtain preliminary enhanced imaging data corresponding to each position point of the initial stacking section; for each position point corresponding to the preliminary enhanced imaging data, calculating the second high-resolution bootstrap coherence at the position point; the second high-resolution bootstrap coherence is the second high-resolution bootstrap coherence of the offset imaging result in the offset direction; generating a coherent imaging result according to the second high-resolution bootstrap coherence and the preliminary enhanced imaging data. The present invention can improve the imaging accuracy of wellbore fractures in remote detection data of well logging.

Description

Technical Field

[0001] The present invention relates to the technical field of oil and gas exploration and development, and in particular to a method, a device and equipment for coherent imaging in a well logging remote detection imaging domain. Background Art

[0002] Oil and gas resources are stored in underground rock cracks, and detecting formation cracks around the well is important for oil and gas exploration and development. Well logging acoustic wave long-range detection technology can detect formation conditions within tens of meters around the well by stimulating sound waves of several thousand hertz and receiving sound wave reflection signals in the formation through a limited number of receivers. Because of its high detection frequency (for example, the main frequency is 3000Hz) and its close proximity to the reservoir in the wellbore, it has a natural advantage in imaging small-scale fractures in the reservoir.

[0003] The essence of logging remote detection is to use the acoustic reflection signal of the geological body outside the well to accurately locate the spatial position of the geological body outside the well, and it is necessary to image the received signal. Because logging remote detection data and seismic data have similar physical basis, logging remote detection imaging of small-scale fractures mainly draws on seismic imaging methods, such as FK migration and Kirchhoff integral imaging. However, seismic data usually have a very large observation aperture (for example, the offset distance is > 8 kilometers). Therefore, seismic imaging methods usually assume large-aperture data observation and superimpose the imaging domain data within the aperture to achieve the purpose of suppressing imaging illusions. However, logging remote detection usually uses a few receivers to receive data, and the observation aperture is very limited. Therefore, logging remote detection data does not meet the above-mentioned relevant requirements, resulting in reduced imaging accuracy and the existence of imaging illusions, which affects the interpretability of fracture imaging results.

[0004] Based on this, how to improve the accuracy of imaging of wellbore fractures in long-range logging data has become a technical problem that needs to be solved urgently. Summary of the invention

[0005] In view of this, in order to solve the above technical problems, the present invention provides a method, device and equipment for coherent imaging in the remote detection imaging domain of well logging.

[0006] The present invention adopts the following technical solution:

[0007] In a first aspect, the present invention provides a method for coherent imaging in a well logging remote detection imaging domain, comprising:

[0008] Acquire logging remote detection offset data; the logging remote detection offset data is three-dimensional data having three dimensions of depth, time and offset;

[0009] Performing offset imaging on the logging remote detection offset data to obtain offset imaging results;

[0010] The offset imaging results are stacked horizontally along the offset direction to obtain an initial stacked section;

[0011] Performing bootstrap coherent enhancement in the depth direction on the initial stacked section to obtain preliminary enhanced imaging data corresponding to each position point of the initial stacked section;

[0012] For each position point corresponding to the preliminary enhanced imaging data, the second high-resolution bootstrap coherence at the position point is calculated; the second high-resolution bootstrap coherence is the second high-resolution bootstrap coherence of the offset imaging result in the offset direction;

[0013] A final enhanced coherent imaging result is generated according to the second high-resolution bootstrap coherence and the preliminary enhanced imaging data.

[0014] Optionally, the obtaining of logging remote detection offset data specifically includes:

[0015] Acquire logging remote detection pre-stack data;

[0016] The logging remote detection pre-stack data are reassembled and arranged to obtain the logging remote detection offset data.

[0017] Optionally, the initial stacked section is subjected to bootstrap coherent enhancement in the depth direction to obtain preliminary enhanced imaging data corresponding to each position point of the initial stacked section, specifically including:

[0018] Determining each scanning slope based on a preset maximum scanning slope, a preset minimum scanning slope, and a preset number of scanning slopes in the depth direction;

[0019] For each position point of the initial stacked section, first local window data of the position point with respect to a first local window is acquired respectively along the direction of each scanning slope; the first local window is a window having a depth direction length and a radial distance direction length;

[0020] Using the first local window data at each scanning slope respectively, calculate the first high-resolution bootstrap coherence at the corresponding scanning slope;

[0021] Preliminary enhanced effective signal extraction is performed along the direction of the scanning slope corresponding to the maximum first high-resolution bootstrap coherence to obtain the preliminary enhanced imaging data corresponding to the position point.

[0022] Optionally, the calculating the second high-resolution bootstrap coherence at the position point specifically includes:

[0023] Based on the second local window, second local window data of the offset imaging result in the offset direction is obtained at the position point; the second local window is a window having a radial distance direction length and an offset direction length;

[0024] Using the second local window data, a second high-resolution bootstrap coherence at the position point is calculated.

[0025] Optionally, generating a final enhanced coherent imaging result according to the second high-resolution bootstrap coherence and the preliminary enhanced imaging data specifically includes:

[0026] performing normalization on all the second high-resolution bootstrap coherences;

[0027] converting the normalized second high-resolution bootstrap coherence into a coherence coefficient;

[0028] The coherence coefficient and the preliminary enhanced imaging data are used to generate the final enhanced coherent imaging result.

[0029] In a second aspect, the present invention provides a well logging remote detection imaging domain coherent imaging device, comprising:

[0030] An acquisition module is used to acquire logging remote detection offset data; the logging remote detection offset data is three-dimensional data having three dimensions of depth, time and offset;

[0031] A fractional offset imaging module is used to perform fractional offset imaging on the well logging remote detection fractional offset data to obtain fractional offset imaging results;

[0032] A stacking module, used for horizontally stacking the offset imaging results along the offset direction to obtain an initial stacking section;

[0033] A preliminary enhancement module, used for performing bootstrap coherent enhancement in the depth direction on the initial stacked section to obtain preliminary enhanced imaging data corresponding to each position point of the initial stacked section;

[0034] A calculation module, configured to calculate, for each position point corresponding to the preliminary enhanced imaging data, a second high-resolution bootstrap coherence at the position point; the second high-resolution bootstrap coherence is a second high-resolution bootstrap coherence of the offset imaging result in an offset direction;

[0035] A generating module is used to generate a final enhanced coherent imaging result according to the second high-resolution bootstrap coherence and the preliminary enhanced imaging data.

[0036] In a third aspect, the present invention provides a computer device, comprising:

[0037] at least one processor; and,

[0038] a memory communicatively connected to the at least one processor; wherein,

[0039] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can implement the well logging remote detection imaging domain coherent imaging method as described above.

[0040] The present invention adopts the above technical scheme, a method for coherent imaging in a well logging remote detection imaging domain, comprising: acquiring remote logging detection offset data; the remote logging detection offset data is three-dimensional data having three dimensions of depth, time and offset; performing offset imaging on the remote logging detection offset data to obtain offset imaging results; horizontally stacking the offset imaging results along the offset direction to obtain an initial stacking section; performing depth-direction bootstrap coherent enhancement on the initial stacking section to obtain preliminary enhanced imaging data corresponding to each position point of the initial stacking section; for each position point corresponding to the preliminary enhanced imaging data, calculating the second high-resolution bootstrap coherence at the position point; the second high-resolution bootstrap coherence is the second high-resolution bootstrap coherence of the offset imaging result in the offset direction; and generating a final enhanced coherent imaging result according to the second high-resolution bootstrap coherence and the preliminary enhanced imaging data. Based on this, by introducing a high-precision coherence measurement method, the problem of imaging illusions caused by conventional imaging methods for imaging of limited aperture logging remote detection data is overcome, and the accuracy of imaging of wellbore fractures around the wellbore in logging remote detection data is effectively improved, providing technical support for high-precision fracture imaging in oil and gas exploration and development. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0042] Figure 1 It is a flow chart of a method for coherent imaging in a well logging remote detection imaging domain provided by an embodiment of the present invention;

[0043] Figure 2 is the well logging remote detection pre-stack data obtained by an embodiment of the present invention;

[0044] Figure 3 It is the result of conventional logging remote detection imaging;

[0045] Figure 4 For the corresponding Figure 3 The coherent imaging result in the well logging remote detection imaging domain obtained by using the coherent imaging method in the well logging remote detection imaging domain of the present invention;

[0046] Figure 5 It is a structural schematic diagram of a well logging remote detection imaging domain coherent imaging device provided by an embodiment of the present invention;

[0047] Figure 6 It is a structural schematic diagram of a computer device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0048] To make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described in detail below. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other implementation methods obtained by ordinary technicians in this field without creative work belong to the scope of protection of the present invention.

[0049] Example

[0050] Figure 1 FIG. 1 is a flow chart of a method for coherent imaging in a well logging remote detection imaging domain provided by an embodiment of the present invention. Figure 1 As shown, this process includes:

[0051] Step 101: Acquire logging long-range detection offset data. The logging long-range detection offset data is three-dimensional data having three dimensions: depth, time and offset.

[0052] Specifically, step 101: obtaining logging long-range detection offset data may include:

[0053] First, obtain the logging remote detection pre-stack data, and then re-arrange the logging remote detection pre-stack data to obtain the logging remote detection offset data. .in, For depth, For time, is the offset distance.

[0054] In a specific example, Figure 2 is the pre-stack data of logging remote detection obtained by the embodiment of the present invention. Figure 2 As shown, the coordinate Nr direction represents the number of receivers, the number of offsets, and the number of sampling points in the offset direction; Depth is the depth; and Time is the time.

[0055] In addition, step 101: acquiring logging remote detection offset data, may also be to directly acquire pre-stored or user-inputted logging remote detection offset data.

[0056] Step 102: Perform offset imaging on the logging remote detection offset data to obtain offset imaging results.

[0057] Specifically, the offset imaging result is obtained by using formula (1) to perform offset imaging on the logging remote detection offset data. , formula (1) is as follows:

[0058] ...... (1)

[0059] in, is the radial distance, is the imaging weighting coefficient, The offset is Two-way transmission during travel.

[0060] Offset imaging results It can be expressed in discrete mathematical form as .in, Indicates the depth The number of sampling points in the direction is , at radial distance The number of sampling points in the direction is , at the offset The number of sampling points in the direction is And, the starting sampling point numbers in all directions start from 1. Indicates the sampling point number The offset imaging results at , where , , .

[0061] In a specific example, the values ​​of the relevant parameters may be: , , , depth sampling interval , radial distance sampling interval .

[0062] Step 103: The split offset imaging results are stacked horizontally along the offset direction to obtain an initial stacking profile.

[0063] Specifically, the offset imaging results are stacked horizontally along the offset direction using formula (2) to obtain the initial stacking section: , formula (2) is as follows:

[0064] ...... (2)

[0065] Step 104: Perform bootstrap coherence enhancement in the depth direction on the initial stacked section to obtain preliminary enhanced imaging data corresponding to each position point of the initial stacked section.

[0066] In the embodiment of the present invention, step 104: performing bootstrap coherent enhancement in the depth direction on the initial stacked section to obtain preliminary enhanced imaging data corresponding to each position point of the initial stacked section may specifically include:

[0067] (1041) Determine each scanning slope based on a preset maximum scanning slope, a preset minimum scanning slope, and a preset number of scanning slopes in the depth direction.

[0068] Specifically, the present invention sets the maximum scanning slope in the depth direction , minimum scanning slope And the number of sweep slopes , so that the slope of the phase axis of the effective signal in the initial stacking section is contained in the interval and use formula (3) to calculate a series of equally spaced scanning slopes: , formula (3) is as follows:

[0069] ...... (3)

[0070] in, For the label The scanning slope, .

[0071] In a specific example, the values ​​of the above-mentioned related parameters may be: the maximum scanning slope , minimum scanning slope , number of sweep slopes .

[0072] (1042) For each position point of the initial stacked profile, first local window data of the position point with respect to a first local window is obtained along the direction of each scanning slope; the first local window is a window having a length in a depth direction and a length in a radial distance direction.

[0073] Specifically, the first local window can be designed to be a window with a length of , the length in the radial direction is The local window of the first local window is ,in, and All are non-negative odd numbers.

[0074] It should be noted that the acquisition process of the preliminary enhanced imaging data corresponding to each position point is the same or similar. As an example, the process of obtaining preliminary enhanced imaging data corresponding to a position point is described. Also, in the computer array index, at the same radial distance, the spacing between adjacent position points in the depth direction is index unit 1; at the same depth, the spacing between adjacent position points in the radial distance direction is also index unit 1.

[0075] Getting location points In the process of initial enhancement of imaging data, after obtaining the first local window, the center point of the first local window and the position point coincide, respectively along each scanning slope Direction, get the location point First local window data about the first local window , we can get First local window data , the first local window data The calculation formula is as follows:

[0076] ...... (4)

[0077] in, , and are the half-lengths of the first local window in the depth direction and radial distance direction, , , , , , , , To round down, To round up.

[0078] (1043) Using the first local window data at each scanning slope, respectively, a first high-resolution bootstrap coherence at the corresponding scanning slope is calculated.

[0079] Specifically, the calculation process of the first high-resolution bootstrap coherence at any scanning slope is as follows: first, the first local window data at the scanning slope is calculated as follows: Substituting into formula (5), we get the first similarity coefficient , formula (5) is as follows:

[0080] ...... (5)

[0081] Then, for the first local window data Perform non-repeated bootstrapping for a first preset number of times to obtain a first preset number of first local window bootstrapping data Here, the first local window data In the depth direction, there are Take the data of each channel as a whole, and randomly rearrange the data of each channel to obtain the first local window bootstrap data without repeated bootstrapping. , the first local window data In depth direction, there are A total of Local window bootstrap data, where , express The nth first local window bootstrap data.

[0082] Finally, based on formula (6), according to the first local window bootstrap data and the first similarity coefficient , calculate the first high-resolution bootstrap coherence at the current scanning slope , formula (6) is as follows:

[0083] ...... (6)

[0084] in, , Indicates the bootstrap data of the nth first local window The coherence coefficient, Indicates the sweep slope Direction bootstrap data using n first local windows Computation of the first high-resolution bootstrap coherence.

[0085] In the present invention, The value of the subscript n can be set according to actual conditions, and the present invention does not make any specific limitation. For example, the value of n can be set to 3, that is, the first preset number is equal to 3.

[0086] (1044) Preliminary enhanced effective signal extraction is performed along the direction of the scanning slope corresponding to the maximum first high-resolution bootstrap coherence to obtain preliminary enhanced imaging data corresponding to the position point.

[0087] Specifically, determine the scanning slope corresponding to the first high-resolution bootstrap coherence with the largest value , then, along the sweep slope The effective signal is initially enhanced in the direction of the Corresponding preliminary enhanced imaging data , preliminary enhancement of imaging data The calculation formula is as follows:

[0088] ...... (7)

[0089] in, According to the scanning slope The first local window data is obtained in the direction of . is the Gaussian weight coefficient, In this embodiment, .

[0090] Step 105: for each position point corresponding to the preliminary enhanced imaging data, calculate the second high resolution bootstrap coherence at the position point; the second high resolution bootstrap coherence is the second high resolution bootstrap coherence of the offset imaging result in the offset direction.

[0091] Here, calculating the second high-resolution bootstrap coherence at the position point may specifically include:

[0092] (1) Based on the second local window, the second local window data of the offset imaging result in the offset direction is obtained at the position point; the second local window is a window having a length in the radial distance direction and a length in the offset direction.

[0093] Specifically, the second local window can be designed to have a length of , the length in the offset direction is The local window of the second local window is At the location corresponding to the preliminary enhanced imaging data The second local window data of the offset imaging result in the offset direction is obtained The formula used is as follows:

[0094] ...... (8)

[0095] in, , is an integer in the range , .

[0096] (2) Using the second local window data, calculate the second high-resolution bootstrap coherence at the location point.

[0097] Specifically, first, the second local window data Substituting into formula (9), we get the second similarity coefficient , formula (9) is as follows:

[0098] ...... (9)

[0099] Then, for the second local window data Perform non-repeated bootstrapping for a second preset number of times to obtain a second preset number of second local window bootstrapping data Here, the second local window data In the offset direction, there are Take the data of each channel as a whole, and randomly rearrange the data of each channel to obtain the second local window bootstrap data without repeated bootstrapping. Because the second local window data In the offset direction, there are So a total of A non-repeating second local window bootstrap data ,in, . express The r-th second local window bootstrap data.

[0100] Finally, based on formula (10), according to the second local window bootstrap data and the second similarity coefficient , calculate the position point corresponding to the preliminary enhanced imaging data The second highest resolution bootstrap coherence at , formula (10) is as follows:

[0101] ...... (10)

[0102] in, , Represents the rth second local window bootstrap data The coherence coefficient, Indicates at location point Use r second local windows to bootstrap data The second highest resolution bootstrap coherence calculated.

[0103] In the embodiment of the present invention, Subscript The value of can be set according to the actual situation, and the present invention does not make a specific limitation. For example, it can be set The value of is 4, that is, the second preset number is equal to 4.

[0104] Step 106: Generate a final enhanced coherent imaging result based on the second high-resolution bootstrap coherent and preliminary enhanced imaging data.

[0105] In the embodiment of the present invention, step 106: generating a final enhanced coherent imaging result according to the second high-resolution bootstrap coherent and preliminary enhanced imaging data may specifically include:

[0106] (1061) All second-highest-resolution bootstrap coherences are normalized.

[0107] Specifically, after the above process, the second high-resolution bootstrap coherence at the corresponding position of each preliminary enhanced imaging data point is obtained. Each second high-resolution bootstrap coherence is divided by the maximum value of all second high-resolution bootstrap coherences (i.e., the maximum second high-resolution bootstrap coherence) to obtain a normalized high-resolution bootstrap coherence whose element value range is between 0 and 1. .

[0108] (1062) The normalized second high-resolution bootstrap coherence is converted into a coherence coefficient.

[0109] Specifically, in order to suppress the artifacts caused by the offset and the interference signals in the data and enhance the effective signal, it is necessary to normalize the high-resolution bootstrap coherence Perform coherence coefficient conversion. Specifically, set the cutoff threshold , , the coherence coefficient is calculated according to the following formula :

[0110] ...... (11)

[0111] in, , is a constant to control the coherence coefficient The weight value decays from 1 to 0.

[0112] It should be noted that, in the present invention, , , The value of can also be other cases, as long as it satisfies , , That's it.

[0113] (1063) Using the coherence coefficient and the preliminary enhanced imaging data, a final enhanced coherence imaging result is generated.

[0114] Specifically, the coherence coefficient and preliminary enhanced imaging data Substitute into formula (12) to suppress the artifacts caused by the offset and extract the effective imaging data to obtain the final enhanced coherent imaging result , formula (12) is as follows:

[0115] ...... (12)

[0116] The present invention adopts the above technical scheme, a method for coherent imaging in the remote detection imaging domain of well logging, including: obtaining remote detection offset data of well logging; performing offset imaging on the remote detection offset data of well logging to obtain offset imaging results; stacking the offset imaging results horizontally along the offset direction to obtain an initial stacking section; performing bootstrap coherence enhancement in the depth direction on the initial stacking section to obtain preliminary enhanced imaging data corresponding to each position point of the initial stacking section; for each position point corresponding to the preliminary enhanced imaging data, calculating the second high-resolution bootstrap coherence at the position point; the second high-resolution bootstrap coherence is the second high-resolution bootstrap coherence of the offset imaging result in the offset direction; according to the second high-resolution bootstrap coherence and the preliminary enhanced imaging data, generating the final enhanced coherent imaging result. Based on this, by introducing a high-precision coherence measurement method, the problem of imaging illusions generated by conventional imaging methods for imaging of remote detection data of well logging with limited aperture is overcome, and the imaging accuracy of wellbore fractures in remote detection data of well logging is effectively improved, providing technical support for high-precision fracture imaging in oil and gas exploration and development.

[0117] In a specific example, Figure 3 This is the result of conventional logging remote detection imaging. Figure 4 For the corresponding Figure 3 The coherent imaging results of the well logging remote detection imaging domain obtained by using the well logging remote detection imaging domain coherent imaging method of the present invention. Figure 3 and Figure 4 It can be found that the conventional logging remote detection imaging results have low accuracy, imaging illusions exist, and the fracture characterization is not clear enough; after using the method of the present invention, the imaging illusion is significantly suppressed, the fracture characterization is clearer, and the imaging accuracy is improved.

[0118] Based on a general inventive concept, the present invention also provides a well logging remote detection imaging domain coherent imaging device. Figure 5 Schematic diagram of the structure of a well logging remote detection imaging domain coherent imaging device provided by an embodiment of the present invention. Figure 5 As shown, the device comprises:

[0119] The acquisition module 51 is used to acquire the logging long-range detection offset data. The logging long-range detection offset data is three-dimensional data having three dimensions: depth, time and offset.

[0120] The fractional offset imaging module 52 is used to perform fractional offset imaging on the well logging remote detection fractional offset data to obtain fractional offset imaging results.

[0121] The stacking module 53 is used to stack the offset imaging results horizontally along the offset direction to obtain an initial stacking section.

[0122] The preliminary enhancement module 54 is used to perform bootstrap coherence enhancement in the depth direction on the initial stacked section to obtain preliminary enhanced imaging data corresponding to each position point of the initial stacked section.

[0123] The calculation module 55 is used to calculate the second high-resolution bootstrap coherence at each position point corresponding to the preliminary enhanced imaging data; the second high-resolution bootstrap coherence is the second high-resolution bootstrap coherence of the offset imaging result in the offset direction.

[0124] The generating module 56 is used to generate a final enhanced coherent imaging result according to the second high-resolution bootstrap coherent and preliminary enhanced imaging data.

[0125] Optionally, the acquisition module 51 may be specifically used for:

[0126] (1) Obtaining pre-stack data from remote well logging.

[0127] (2) The logging long-range detection pre-stack data are reassembled and arranged to obtain the logging long-range detection offset data.

[0128] Optionally, the preliminary enhancement module 54 may be specifically used for:

[0129] (1) Determine each scanning slope based on a preset maximum scanning slope, a preset minimum scanning slope, and a preset number of scanning slopes in the depth direction.

[0130] (2) For each position point of the initial stacked section, first local window data of the position point with respect to a first local window is acquired along the direction of each scanning slope; the first local window is a window having a depth direction length and a radial distance direction length.

[0131] (3) Using the first local window data at each of the scanning slopes, respectively, calculating a first high-resolution bootstrap coherence at the corresponding scanning slope.

[0132] (4) Extracting preliminary enhanced effective signals along the direction of the scanning slope corresponding to the maximum first high-resolution bootstrap coherence to obtain the preliminary enhanced imaging data corresponding to the position point.

[0133] Optionally, the calculation module 55 may be specifically used for:

[0134] (1) Based on a second local window, second local window data of the offset imaging result in the offset direction is obtained at the position point; the second local window is a window having a length in the radial distance direction and a length in the offset direction.

[0135] (2) Using the second local window data, calculating a second high-resolution bootstrap coherence at the position point.

[0136] Optionally, the generating module 56 may be specifically used for:

[0137] (1) All the second high-resolution bootstrap coherences are normalized.

[0138] (2) Converting the normalized second high-resolution bootstrap coherence into a coherence coefficient.

[0139] (3) Using the coherence coefficient and the preliminary enhanced imaging data, generating the final enhanced coherent imaging result.

[0140] Based on a general inventive concept, the present invention also provides a computer device. Figure 6 Schematic diagram of the structure of a computer device provided by an embodiment of the present invention. Figure 6 As shown, the device 600 includes:

[0141] at least one processor 610; and,

[0142] A memory 630 is communicatively connected to at least one processor 610; wherein,

[0143] The memory 630 stores instructions 620 executable by at least one processor 610. The instructions 620 are executed by at least one processor 610 to enable the at least one processor 610 to implement the well logging remote detection imaging domain coherent imaging method as described above.

[0144] It can be understood that the same or similar parts of the above embodiments can be referenced to each other, and the contents not described in detail in some embodiments can refer to the same or similar contents in other embodiments.

[0145] It should be noted that, in the description of the present invention, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of the present invention, unless otherwise specified, the meaning of "plurality" refers to at least two.

[0146] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present invention belong.

[0147] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0148] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0149] In addition, each functional unit in each embodiment of the present invention may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0150] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc.

[0151] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0152] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A method for coherent imaging in a well logging remote detection imaging domain, characterized in that: include: Acquire logging remote detection offset data; the logging remote detection offset data is three-dimensional data having three dimensions of depth, time and offset; Performing offset imaging on the logging remote detection offset data to obtain offset imaging results; The offset imaging results are stacked horizontally along the offset direction to obtain an initial stacked section; Performing bootstrap coherent enhancement in the depth direction on the initial stacked section to obtain preliminary enhanced imaging data corresponding to each position point of the initial stacked section; For each position point corresponding to the preliminary enhanced imaging data, calculating the second high-resolution bootstrap coherence at the position point; The second high-resolution bootstrap coherence is the second high-resolution bootstrap coherence of the offset imaging result in the offset direction; generating a final enhanced coherent imaging result according to the second high-resolution bootstrap coherence and the preliminary enhanced imaging data; The calculating of the second high-resolution bootstrap coherence at the position point specifically comprises: Based on the second local window, second local window data of the offset imaging result in the offset direction is obtained at the position point; the second local window is a window having a radial distance direction length and an offset direction length; Based on the second high-resolution bootstrap coherence calculation formula, the second high-resolution bootstrap coherence at the position point is calculated using the second local window data; the second high-resolution bootstrap coherence calculation formula is as follows: in, Indicates at location point Use r second local windows to bootstrap data The second highest resolution bootstrap coherence calculated; By the second local window data It is obtained by non-repeated bootstrapping, indicating The r-th second local window bootstrap data; , Represents the rth second local window bootstrap data The coherence coefficient of Indicates the length of the corresponding local window in the offset direction; Represents the length of the corresponding local window in the radial distance direction; Indicates that according to the second local window data The calculated second similarity coefficient.

2. The method for coherent imaging in the well logging remote detection imaging domain according to claim 1, characterized in that: The step of obtaining logging remote detection offset data specifically includes: Acquire logging remote detection pre-stack data; The logging remote detection pre-stack data are reassembled and arranged to obtain the logging remote detection offset data.

3. The method for coherent imaging in the well logging remote detection imaging domain according to claim 1, characterized in that: The initial stacked section is subjected to bootstrap coherent enhancement in the depth direction to obtain preliminary enhanced imaging data corresponding to each position point of the initial stacked section, specifically comprising: Determining each scanning slope based on a preset maximum scanning slope, a preset minimum scanning slope, and a preset number of scanning slopes in the depth direction; For each position point of the initial stacked section, first local window data of the position point with respect to a first local window is acquired respectively along the direction of each scanning slope; the first local window is a window having a depth direction length and a radial distance direction length; The first local window data at each scanning slope is used to calculate the first high-resolution bootstrap coherence at the corresponding scanning slope. The calculation formula of the first high-resolution bootstrap coherence is as follows: in, Indicates the sweep slope Direction bootstrap data using n first local windows Calculated first high-resolution bootstrap coherence; By the first local window data It is obtained by non-repeated bootstrapping, indicating The nth first local window bootstrap data; , Indicates the bootstrap data of the nth first local window The coherence coefficient of Represents the length of the corresponding local window in the radial distance direction; Indicates the length of the corresponding local window in the depth direction; Indicates that according to the first local window data The calculated first similarity coefficient; Preliminary enhanced effective signal extraction is performed along the direction of the scanning slope corresponding to the maximum first high-resolution bootstrap coherence to obtain the preliminary enhanced imaging data corresponding to the position point.

4. The method for coherent imaging in the well logging remote detection imaging domain according to claim 1, characterized in that: Generating a final enhanced coherent imaging result according to the second high-resolution bootstrap coherence and the preliminary enhanced imaging data, specifically comprising: performing normalization on all the second high-resolution bootstrap coherences; converting the normalized second high-resolution bootstrap coherence into a coherence coefficient; The coherence coefficient and the preliminary enhanced imaging data are used to generate the final enhanced coherent imaging result.

5. A well logging remote detection imaging domain coherent imaging device, characterized in that: The method for coherent imaging in a well logging remote detection imaging domain as claimed in any one of claims 1 to 4, wherein the device for coherent imaging in a well logging remote detection imaging domain comprises: An acquisition module is used to acquire logging remote detection offset data; the logging remote detection offset data is three-dimensional data having three dimensions of depth, time and offset; A fractional offset imaging module is used to perform fractional offset imaging on the well logging remote detection fractional offset data to obtain fractional offset imaging results; A stacking module, used for horizontally stacking the offset imaging results along the offset direction to obtain an initial stacking section; A preliminary enhancement module, used for performing bootstrap coherent enhancement in the depth direction on the initial stacked section to obtain preliminary enhanced imaging data corresponding to each position point of the initial stacked section; A calculation module, configured to calculate, for each position point corresponding to the preliminary enhanced imaging data, a second high-resolution bootstrap coherence at the position point; the second high-resolution bootstrap coherence is a second high-resolution bootstrap coherence of the offset imaging result in an offset direction; A generating module is used to generate a final enhanced coherent imaging result according to the second high-resolution bootstrap coherence and the preliminary enhanced imaging data.

6. A computer device, characterized in that: include: at least one processor; as well as, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can implement the well logging remote detection imaging domain coherent imaging method according to any one of claims 1 to 4.

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