Well logging remote detection horizontal well stratum control data enhancement method, device and electronic equipment

Abstract

A method, device and electronic device for enhancing layer-controlled data of a well logging remote detection horizontal well, which relates to the field of geophysical well logging; can enhance well logging data and improve the reliability of enhanced data. The method for enhancing layer-controlled data of a well logging remote detection horizontal well comprises: acquiring horizontal well logging data, the well logging data being collected by an array acoustic logging instrument; determining common depth point receiver data corresponding to different scanning slopes in the well logging data; determining the optimal scanning slope among the different scanning slopes by using the multi-channel similarity coefficient of the common depth point receiver data; superimposing the common depth point receiver data corresponding to the optimal scanning slope to obtain post-stack data; acquiring data in the same layer in the post-stack data, enhancing the post-stack data by using the data in the same layer, and obtaining enhanced horizontal well logging data.

Description

Technical Field

[0001] The present application relates to the field of geophysical well logging, and in particular to a method, device and electronic equipment for enhancing stratum control data of a well logging remote detection horizontal well. Background Art

[0002] Horizontal well development technology is one of the technologies for developing unconventional oil and gas reservoirs such as shale. The acoustic wave long-range detection method can image the geological structure within tens of meters around the well, and can be used to detect fracture structures beside horizontal wells, determine the location of horizontal wells in the formation, and evaluate the fracturing effect of horizontal wells.

[0003] Data enhancement can remove noise from logging remote detection data and enhance effective signals, which is beneficial to subsequent processing and interpretation. Existing logging remote detection data enhancement methods usually use some local features of the signal in the data for data enhancement, such as the directional information of the signal, the local coherence of the signal, and other features. Methods such as adaptive Wiener filtering, anisotropic diffusion filtering, and local tilt stacking have been developed. These methods are mainly used in vertical well data, but in horizontal wells, due to the small difference in the potential wave impedance of some reflection layers outside the well, these local features of the signal are difficult to obtain stably and reliably, affecting the reliability of data processing. Summary of the invention

[0004] The present application provides a method, device and electronic equipment for enhancing the stratum control data of a well logging remote detection horizontal well, which can enhance the horizontal well data and improve the reliability of the enhanced data.

[0005] In a first aspect, the present application provides a method for enhancing stratum control data of a well logging remote detection horizontal well, comprising:

[0006] Acquiring horizontal well logging data, wherein the logging data is collected by an array acoustic logging instrument;

[0007] determining common depth point receiver data corresponding to different scanning slopes in the logging data;

[0008] Determining the optimal scanning slope among the different scanning slopes by using the multi-channel similarity coefficient of the common depth point receiver data;

[0009] Superimposing the common depth point receiver data corresponding to the optimal scanning slope to obtain post-stack data;

[0010] The data located in the same layer in the post-stack data are obtained, and the post-stack data are enhanced by using the data in the same layer to obtain the enhanced horizontal well logging data.

[0011] According to the logging long-range detection horizontal well layer control data enhancement method of this embodiment, the common depth point receiver data is superimposed at the optimal scanning slope to obtain post-stack data; the same layer data near the post-stack data is used to enhance the signal by superimposing, which is an enhancement along the layer direction, and can ultimately effectively enhance the signal and improve the reliability of the enhanced horizontal well logging data.

[0012] In an exemplary embodiment, acquiring data located in the same layer in the post-stack data includes:

[0013] Picking up horizontal well marker layer data from the post-stack data, and calculating the sampling point offset of the marker layer data;

[0014] The data located in the same layer in the post-stack data are determined according to the sampling point offset.

[0015] In an exemplary embodiment, the enhancing the post-stack data by the data of the same layer includes:

[0016] For each data point in the post-stack data, data from the same layer as the data point is acquired within a preset window according to the sampling point offset of the marker layer data, and the data located at the same layer as the data point is superimposed within a preset superposition window.

[0017] In an exemplary embodiment, superimposing the data located at the same layer as the data point in a preset superposition window includes:

[0018] The stacking weight is determined, and the data located in the same layer as the data point are stacked within the preset stacking window based on the stacking weight to obtain preliminary enhanced horizontal well logging data.

[0019] In an exemplary embodiment, acquiring data located in the same layer in the post-stack data includes:

[0020] For each data point in the post-stack data, according to the sampling point offset of the marker layer data, obtaining data located in the same layer as the data point in the similarity calculation window;

[0021] Calculate the similarity coefficient of each data point in the post-stack data by using the data of the same layer in the similarity calculation window;

[0022] Performing soft threshold filtering on the similarity coefficient to obtain a filtering coefficient for each data point;

[0023] The initially enhanced horizontal well logging data is filtered using the filter coefficient to obtain the final enhanced horizontal well logging data.

[0024] In an exemplary embodiment, the well logging data includes a plurality of data points in a logging point dimension, a sampling point dimension, and a receiver dimension.

[0025] In an exemplary embodiment, superimposing the common depth point receiver data corresponding to the optimal scanning slope includes:

[0026] The common depth point receiver data of the same logging point corresponding to the optimal scanning slope are superimposed.

[0027] In a second aspect, the present application provides a well logging remote detection horizontal well stratum control data enhancement device, comprising:

[0028] A data acquisition module, used to acquire horizontal well logging data, wherein the logging data is collected by an array acoustic logging instrument;

[0029] a slope estimation module, for determining common depth point receiver data corresponding to different scanning slopes in the logging data;

[0030] An optimal slope determination module, used for determining an optimal scanning slope among different scanning slopes through a multi-channel similarity coefficient of the common depth point receiver data;

[0031] A data superposition module, used for superimposing the common depth point receiver data corresponding to the optimal scanning slope to obtain post-stack data;

[0032] The data enhancement module is used to obtain data located in the same layer in the post-stack data, enhance the post-stack data through the data in the same layer, and obtain enhanced horizontal well logging data.

[0033] In a third aspect, the present application provides an electronic device, the electronic device comprising a memory and one or more processors. The memory stores one or more computer programs, the computer programs comprising instructions, and when the instructions are executed by the processor, the electronic device can execute the well logging remote detection horizontal well stratum control data enhancement method as in the first aspect.

[0034] In a fourth aspect, the present application provides a computer-readable medium having instructions stored therein, which, when executed on an electronic device, enables the electronic device to execute the method for enhancing the layer control data of a horizontal well in a long-range detection well logging as in the first aspect.

[0035] In a fifth aspect, the present application provides a computer program product. When the computer program product is run on an electronic device, the electronic device executes the method for enhancing the layer control data of a horizontal well in a long-range detection well logging as described in the first aspect.

[0036] It can be understood that the beneficial effects that can be achieved by the above-mentioned logging long-range detection horizontal well layer control data enhancement device, electronic device, computer-readable medium, and computer program product can refer to the beneficial effects in the first aspect and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 A schematic diagram of the process flow of the method for enhancing the stratum control data of a horizontal well in a long-range detection well logging provided in an embodiment of the present application;

[0038] Figure 2 A schematic diagram of logging data in the method for enhancing stratum control data of a horizontal well with long-range detection provided in an embodiment of the present application;

[0039] Figure 3 A schematic diagram of enhanced data of the method for enhancing the stratum control data of a horizontal well with long-range detection for logging provided in an embodiment of the present application;

[0040] Figure 4 A schematic diagram of the structure of a well logging remote detection horizontal well layer control data enhancement device provided in an embodiment of the present application;

[0041] Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0042] In order to facilitate the clear description of the technical solutions of the embodiments of the present application, in the embodiments of the present application, the words "first", "second" and the like are used to distinguish the same items or similar items with substantially the same functions and effects. For example, the first chip and the second chip are only used to distinguish different chips, and their order is not limited. Those skilled in the art can understand that the words "first", "second" and the like do not limit the quantity and execution order, and the words "first", "second" and the like do not necessarily limit the difference. It should be noted that in the embodiments of the present application, the words "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "exemplary" or "for example" in the present application should not be interpreted as being more preferred or more advantageous than other embodiments or design solutions. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way. In the embodiments of the present application, "at least one" refers to one or more, and "more" refers to two or more.

[0043] It should be noted that the “at…” in the embodiments of the present application may be the instant when a certain situation occurs, or may be a period of time after the occurrence of a certain situation, and the embodiments of the present application do not specifically limit this.

[0044] The implementation of this embodiment will be described in detail below with reference to the accompanying drawings.

[0045] This embodiment first provides a method for enhancing the layer control data of horizontal wells with long-range detection in well logging. By way of example, the method for enhancing the layer control data of horizontal wells with long-range detection in well logging can be applied to various electronic devices such as computers (PCs), tablet computers, virtual reality / augmented reality devices, wearable devices, industrial computers, etc.; it can also be applied to servers, cloud computing, server clusters, etc., and this embodiment does not make any special limitation on this.

[0046] Figure 1 A flow chart of a method for enhancing the stratum control data of a horizontal well in a long-range detection well logging system provided in an embodiment of the present application is shown.

[0047] like Figure 1 As shown, the well logging long-range detection horizontal well stratum control data enhancement method may include the following steps:

[0048] Step 101: Acquire horizontal well logging data, where the logging data is collected by an array acoustic logging instrument.

[0049] Step 102: Determine common depth point receiver data corresponding to different scanning slopes in the logging data.

[0050] Step 103: Determine the optimal scanning slope among the different scanning slopes by using the multi-channel similarity coefficient of the common depth point receiver data.

[0051] Step 104: superimpose the common depth point receiver data corresponding to the optimal scanning slope to obtain post-stack data.

[0052] Step 105: acquiring data located in the same layer in the post-stack data, and enhancing the post-stack data using the data in the same layer to obtain enhanced horizontal well logging data.

[0053] In step 101, the logging data may be data collected by an array acoustic logging instrument. Specifically, the logging data includes a plurality of data points in the logging point dimension, the sampling point dimension, and the receiver dimension. Figure 2 As shown in the figure, the x direction in the logging data is the logging point dimension of the horizontal well, the depth direction is the sampling point dimension, and the nr direction is the receiver dimension. The logging data can be expressed as: d(nt,nr,nz). Among them, nt is the number of sampling points in the sampling point dimension, nz is the number of logging points in the horizontal well, and nr is the number of receivers.

[0054] In step 102, common depth point receiver data refers to data points in the well logging data that have the same well logging point but different receiver dimensions.

[0055] The scanning slope is estimated in advance, and the common depth point receiver data corresponding to each scanning slope is determined. The common depth point receiver data corresponding to each scanning slope can be expressed as follows:

[0056]

[0057] in, is the floor symbol, It is the round-up symbol. r is the scanning slope, ip(1 <ip<N p ) is the scanning slope p r The index of N p is the maximum index of the slope, it is the sampling point index, and its value range is from 1 to the number of sampling points. iz is the horizontal well logging point location index, ir is the receiver index, Δx r is the distance between two adjacent receivers; Δt is the data sampling interval.

[0058] In step 103, the optimal scanning slope can be determined by calculating the multi-channel similarity coefficient of each common depth point receiver data in the common depth point receiver data. The multi-channel similarity coefficient of the common depth point receiver data in different receiving directions is calculated as follows:

[0059]

[0060] The value range of the multi-channel similarity coefficient is between 0 and 1. The larger the multi-channel similarity coefficient, the more accurate the estimated event slope. For each common depth point receiver data (it, iz), select the maximum similarity coefficient for the common depth point receiver data And the maximum similarity coefficient s max The corresponding scanning slope is determined as the optimal scanning slope of the receiver data at the common depth point Right now

[0061]

[0062] In step 104, the common depth point receiver data participating in the stacking are acquired according to the optimal scanning slope, which is expressed as follows:

[0063]

[0064] in,

[0065] The common depth point receiver data corresponding to the optimal scanning slope is obtained, and the common depth point receiver data corresponding to the optimal scanning slope is superimposed. At the same depth, multiple common depth point receiver data with different receiver dimensions (nr) are included, and the common depth point receiver data are superimposed to obtain the post-stack data. The specific representation of the post-stack data is as follows:

[0066]

[0067] In step 105, the post-stack data d s In the post-stack data, the data located in the same layer are first determined. The marker layer data of the horizontal well is picked up in the post-stack data, and the sampling point offset of the marker layer data is calculated; and the data located in the same layer in the post-stack data is determined according to the sampling point offset data.

[0068] For each data point in the post-stack data, the event axis with the largest energy and the highest signal-to-noise ratio is taken as the marker layer, and the marker layer data A is obtained by picking the marker layer. r Then, the sampling point offset is calculated by the marker layer data, and the data of the same layer of the post-stack data can be determined according to the sampling point offset.

[0069] Exemplarily, obtaining data located at the same layer in the post-stack data includes: for each data point in the post-stack data, obtaining data located at the same layer as the data point within a similarity calculation window.

[0070] The length of the similarity calculation window may be determined according to actual conditions, and the length of the similarity calculation window may be 2L+1.

[0071] For the data point (it, iz) in the post-stack data, the sampling point offset calculated using the marker layer data can be used to obtain the data in the same layer as the point in the similarity calculation window, which is expressed as follows:

[0072]

[0073] in, is the offset of the data at the logging point iz+j relative to the sampling point at the logging point iz, iz is the index of the central logging point position in the similarity calculation window, L is an integer, which is half the length of the similarity calculation window, j is the index difference between the current logging point and the central logging point iz in the similarity calculation window, -L≤j≤L.

[0074] Then, the similarity coefficient of each data point in the post-stack data is calculated by using the data of the same layer within the similarity calculation window; the similarity coefficient is subjected to soft threshold filtering to obtain the filter coefficient of each data point; the initially enhanced horizontal well logging data is filtered by the filter coefficient to obtain the final enhanced horizontal well logging data.

[0075] Use the data of the same layer in the similarity calculation window to calculate the similarity coefficient, as follows:

[0076]

[0077] In order to reduce some of the noise in the final enhanced data, the similarity coefficient needs to be soft-threshold filtered first, as follows:

[0078]

[0079] Among them, ε (0 < ε ≤ 1) is the cutoff threshold of the similarity coefficient, and M is the attenuation factor, which controls the speed at which the value of the similarity coefficient decays from 1 to 0. The similarity coefficient after soft threshold filtering is used as the filtering coefficient for subsequent data enhancement, that is, w s .

[0080] Then, for each data point in the post-stack data, the data in the same layer as the data point is stacked in a preset stacking window to enhance the signal strength. The stacked data can be used as preliminary enhanced horizontal well logging data.

[0081] Specifically, for the point (it, iz), the sampling point offset calculated using the marker layer data is used to obtain the data in the same layer as the point within the stacking window:

[0082]

[0083] in, is the offset of the data at the logging point iz+i relative to the sampling point at the logging point iz, iz is the index of the central logging point position in the stacking window, N is an integer, defined as half the length of the stacking window, i is the index difference between the current logging point in the stacking window and the central logging point iz, -N≤i≤N.

[0084] Furthermore, a corresponding stacking weight may be determined for each data point in the post-stack data, and data located in the same layer as the data point may be stacked based on the stacking weight within the preset stacking window to enhance the data.

[0085] For a point (it, iz), the data of the same layer of the point is multiplied by the corresponding stacking weight and then stacked. Specifically:

[0086]

[0087] in, is the normalization coefficient of data superposition enhancement, and w(iz+i) is the superposition weight.

[0088]

[0089] For each stacking point, because the sampling point offset calculated by the marker layer data is used to obtain the same layer data within a certain window length, the data enhancement controlled by the marker layer is performed along the layer direction. In actual situations, for data with different signal-to-noise ratios, the stacking window length can be expanded or reduced according to the specific situation to effectively enhance the signal.

[0090] The data after preliminary enhancement is filtered and outputted through the above-mentioned filter coefficients to obtain the final enhanced horizontal well logging data. The formula is as follows:

[0091] d m (it,iz)=w s (it,iz)d e (it,iz) (11)

[0092] Among them, w s (,iz) is the filter coefficient at point (it,iz), d e (,iz) is the initial enhanced data at point (,iz), d m (,iz) is the final enhanced horizontal well logging data after filtering at point (it,iz).

[0093] The effect of enhancing the horizontal well logging data in step 101 is as follows: Figure 3 See Figure 2 and Figure 3 It can be seen that the noise in the logging data is greatly attenuated, the effective signal is enhanced, and the formation is clearer.

[0094] Furthermore, the present embodiment also provides a well logging remote detection horizontal well stratum control data enhancement device, which can be used to execute the above-mentioned well logging remote detection horizontal well stratum control data enhancement method.

[0095] like Figure 4As shown, the logging long-range detection horizontal well layer control data enhancement device 400 specifically includes: a data acquisition module 410, used to acquire horizontal well logging data, the logging data is collected by an array acoustic logging instrument; a slope estimation module 420, used to determine the common depth point receiver data corresponding to different scanning slopes in the logging data; an optimal slope determination module 430, used to determine the optimal scanning slope among the different scanning slopes through the multi-channel similarity coefficient of the common depth point receiver data; a data superposition module 440, used to superimpose the common depth point receiver data corresponding to the optimal scanning slope to obtain post-stack data; a data enhancement module 450, used to acquire data located in the same layer in the post-stack data, enhance the post-stack data through the data of the same layer, and obtain the enhanced horizontal well logging data.

[0096] In an exemplary embodiment, the data enhancement module 450 is specifically used to: pick up horizontal well marker layer data in the post-stack data, calculate the sampling point offset of the marker layer data; and determine the data located in the same layer in the post-stack data based on the sampling point offset.

[0097] In an exemplary embodiment, the data enhancement module 450 is also specifically used to: for each data point in the post-stack data, according to the sampling point offset of the marker layer data, obtain data from the same layer as the data point within a preset window, and superimpose the data located in the same layer as the data point within a preset overlay window.

[0098] In an exemplary embodiment, the data enhancement module 450 is further specifically used to: determine a stacking weight, and stack the data located in the same layer as the data point within the preset stacking window based on the stacking weight to obtain preliminary enhanced horizontal well logging data.

[0099] In an exemplary embodiment, the data enhancement module 450 is also specifically used to: for each data point in the post-stack data, obtain the data located in the same layer as the data point in the similarity calculation window according to the sampling point offset of the marker layer data; calculate the similarity coefficient of each data point in the post-stack data through the data in the same layer within the similarity calculation window; perform soft threshold filtering on the similarity coefficient to obtain the filter coefficient of each data point; and filter the initially enhanced horizontal well logging data through the filter coefficient to obtain the final enhanced horizontal well logging data.

[0100] In an exemplary embodiment, the well logging data includes a plurality of data points in a logging point dimension, a sampling point dimension, and a receiver dimension.

[0101] In an exemplary embodiment, the data stacking module 440 is specifically configured to stack the common depth point receiver data of the same logging point corresponding to the optimal scanning slope.

[0102] The specific details of each module or unit in the above-mentioned well logging long-range detection horizontal well stratum control data enhancement device have been described in detail in the corresponding well logging long-range detection horizontal well stratum control data enhancement method, so they will not be repeated here.

[0103] The embodiment of the present application also provides an electronic device, Figure 5 A schematic diagram of the structure of an electronic device suitable for implementing the embodiments of the present disclosure is shown. Figure 5 The electronic device 600 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0104] like Figure 5 As shown, electronic device 600 includes a central processing unit (CPU) 601, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 602 or a program loaded from a storage part 608 into a random access memory (RAM) 603. In RAM 603, various programs and data required for system operation are also stored. CPU 601, ROM 602 and RAM 603 are connected to each other via a bus 604. An input / output (I / O) interface 605 is also connected to bus 604.

[0105] The following components are connected to the I / O interface 605: an input section 606 including a keyboard, a mouse, etc.; an output section 607 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 608 including a hard disk, etc.; and a communication section 609 including a network interface card such as a LAN card, a modem, etc. The communication section 609 performs communication processing via a network such as the Internet. A drive 610 is also connected to the I / O interface 605 as needed. A removable medium 611, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 610 as needed, so that a computer program read therefrom is installed into the storage section 608 as needed.

[0106] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication part 609, and / or installed from a removable medium 611. When the computer program is executed by a central processing unit (CPU) 601, the above-mentioned functions defined in the embodiments of the present application are executed.

[0107] For example, when the computer program is executed by the central processing unit (CPU) 601, it may be executed as follows:

[0108] Acquire horizontal well logging data, the logging data is collected by an array acoustic logging instrument; determine common depth point receiver data corresponding to different scanning slopes in the logging data; determine the optimal scanning slope among the different scanning slopes by the multi-channel similarity coefficient of the common depth point receiver data; superimpose the common depth point receiver data corresponding to the optimal scanning slope to obtain post-stack data; acquire data located in the same layer in the post-stack data, enhance the post-stack data by the data in the same layer, and obtain enhanced horizontal well logging data.

[0109] It should be noted that the computer-readable medium shown in the present disclosure 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 disclosure, 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 disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. 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.

[0110] The flow charts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order 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 or flow chart, and the combination of the boxes in the block diagram or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0111] The units involved in the embodiments described in the present disclosure may be implemented by software or hardware, and the units described may also be arranged in a processor. The names of these units do not, in some cases, constitute limitations on the units themselves.

[0112] As another aspect, the present application also provides a computer-readable medium, which may be included in the electronic device described in the above embodiment; or may exist independently without being assembled into the electronic device. The above computer-readable medium carries one or more programs, and the one or more programs include instructions, and when the instructions are executed by the electronic device, the electronic device implements the method described in the above embodiment.

[0113] It should be noted that, although several modules or units of the equipment for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present application, the features and functions of two or more modules or units described above can be embodied in one module or unit. On the contrary, the features and functions of one module or unit described above can be further divided into being embodied by multiple modules or units.

[0114] The above contents are only specific implementation methods of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions within the technical scope disclosed in the present application shall be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A method for enhancing the stratum control data of a well logging remote detection horizontal well, characterized in that: include: Acquiring horizontal well logging data, wherein the logging data is collected by an array acoustic logging instrument; determining common depth point receiver data corresponding to different scanning slopes in the logging data; Determining the optimal scanning slope among the different scanning slopes by using the multi-channel similarity coefficient of the common depth point receiver data; Superimposing the common depth point receiver data corresponding to the optimal scanning slope to obtain post-stack data; Acquire data located in the same layer in the post-stack data, enhance the post-stack data by using the data in the same layer, and obtain enhanced horizontal well logging data; The method of determining the common depth point receiver data corresponding to different scanning slopes in the logging data includes: estimating the scanning slope in advance, and determining the common depth point receiver data corresponding to each scanning slope: The scanning slope is estimated in advance, and the common depth point receiver data corresponding to each scanning slope is determined. The common depth point receiver data corresponding to each scanning slope is expressed as: in, is the floor symbol, For the round-up symbol, p r is the scanning slope, ip is the scanning slope p r Index, 1<ip<N p , N p is the maximum index of the scanning slope, it is the sampling point index, which ranges from 1 to the number of sampling points, iz is the horizontal well logging point position index, ir is the receiver index, Δx r is the distance between two adjacent receivers; Δt is the data sampling interval, d(it, ir, iz) is the logging data, To obtain the common depth point receiver data corresponding to the scanning slope at the well logging sampling point index it and the well logging point position index iz; The step of acquiring data located in the same layer in the post-stack data comprises: Picking up horizontal well marker layer data from the post-stack data, and calculating the sampling point offset of the marker layer data; Determine the data located in the same layer in the post-stack data according to the sampling point offset; The step of enhancing the post-stack data by using the data of the same layer includes: For each data point in the post-stack data, according to the sampling point offset of the marker layer data, data located at the same layer as the data point is acquired within a preset window, and the data located at the same layer as the data point is superimposed within a preset superposition window; The step of superimposing the data located at the same layer as the data point in the preset superposition window includes: Determine a stacking weight, and stack the data located in the same layer as the data point within the preset stacking window based on the stacking weight to obtain preliminary enhanced horizontal well logging data; For each data point in the post-stack data, according to the sampling point offset of the marker layer data, data located in the same layer as the data point in the similarity calculation window is obtained; Calculate the similarity coefficient of each data point in the post-stack data by using the data of the same layer in the similarity calculation window; Performing soft threshold filtering on the similarity coefficient to obtain a filtering coefficient for each data point; The initially enhanced horizontal well logging data is filtered using the filter coefficient to obtain the final enhanced horizontal well logging data.

2. The method according to claim 1, characterized in that The logging data includes a plurality of data points in logging point dimension, sampling point dimension and receiver dimension.

3. The method according to claim 2, characterized in that The stacking of the common depth point receiver data corresponding to the optimal scanning slope includes: The common depth point receiver data of the same logging point corresponding to the optimal scanning slope are superimposed.

4. A well logging remote detection horizontal well layer control data enhancement device, characterized in that: include: A data acquisition module, used to acquire horizontal well logging data, wherein the logging data is collected by an array acoustic logging instrument; a slope estimation module, for determining common depth point receiver data corresponding to different scanning slopes in the logging data; An optimal slope determination module, used for determining an optimal scanning slope among different scanning slopes through a multi-channel similarity coefficient of the common depth point receiver data; A data superposition module, used for superimposing the common depth point receiver data corresponding to the optimal scanning slope to obtain post-stack data; A data enhancement module is used to obtain data located in the same layer in the post-stack data, and enhance the post-stack data through the data in the same layer to obtain enhanced horizontal well logging data; The method of determining the common depth point receiver data corresponding to different scanning slopes in the logging data includes: estimating the scanning slope in advance, and determining the common depth point receiver data corresponding to each scanning slope: The scanning slope is estimated in advance, and the common depth point receiver data corresponding to each scanning slope is determined. The common depth point receiver data corresponding to each scanning slope is expressed as: in, is the floor symbol, For the rounding up symbol, p r is the scanning slope, ip is the scanning slope p r Index, 1<ip<N p , N p is the maximum index of the scanning slope, it is the sampling point index, which ranges from 1 to the number of sampling points, iz is the horizontal well logging point position index, ir is the receiver index, Δx r is the distance between two adjacent receivers; Δt is the data sampling interval, d(it, ir, iz) is the logging data, To obtain the common depth point receiver data corresponding to the scanning slope at the well logging sampling point index it and the well logging point position index iz; The step of acquiring data located in the same layer in the post-stack data comprises: Picking up horizontal well marker layer data from the post-stack data, and calculating the sampling point offset of the marker layer data; Determine the data located in the same layer in the post-stack data according to the sampling point offset; The step of enhancing the post-stack data by using the data of the same layer includes: For each data point in the post-stack data, according to the sampling point offset of the marker layer data, data located at the same layer as the data point is acquired within a preset window, and the data located at the same layer as the data point is superimposed within a preset superposition window; The step of superimposing the data located at the same layer as the data point in the preset superposition window includes: Determine a stacking weight, and stack the data located in the same layer as the data point within the preset stacking window based on the stacking weight to obtain preliminary enhanced horizontal well logging data; For each data point in the post-stack data, according to the sampling point offset of the marker layer data, obtaining data located in the same layer as the data point in the similarity calculation window; Calculate the similarity coefficient of each data point in the post-stack data by using the data of the same layer in the similarity calculation window; Performing soft threshold filtering on the similarity coefficient to obtain a filtering coefficient for each data point; The initially enhanced horizontal well logging data is filtered using the filter coefficient to obtain the final enhanced horizontal well logging data.

5. A computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the processor executes the method for enhancing stratum control data of a well logging remote detection horizontal well according to any one of claims 1 to 3.

6. An electronic device, characterized in that: It includes a processor and a memory, wherein one or more computer programs are stored in the memory, and the one or more computer programs include instructions. When the instructions are executed by the electronic device, the electronic device executes the well logging long-range detection horizontal well layer control data enhancement method described in any one of claims 1-3.

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