Well separation method and device, electronic device and storage medium

Abstract

The present disclosure relates to a well logging layering method and device, an electronic device and a storage medium, the method comprising: selecting a standard well in a target work area, segmenting the well logging curve of the standard well to obtain a standard well logging curve segment corresponding to a standard layer in the standard well; for each standard well logging curve segment, determining a search range in the well logging curve to be layered corresponding to the current standard well logging curve segment; taking the top of the search range as the starting point and extending downward multiple times to obtain multiple well logging curve segments to be layered between the top of the search range and multiple extension position points, calculating the similarity between each well logging curve segment to be layered and the corresponding standard well logging curve segment, and determining a target extension position point whose similarity exceeds a preset threshold; taking the well layer between the top of the search range and the target extension position point as the well layer in the well logging curve to be layered corresponding to the current standard well logging curve segment, and enabling automatic layering of well logging through well logging curve shape comparison.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of geophysical exploration, and in particular, to a well logging layering method and device, an electronic device and a storage medium. BACKGROUND

[0002] In the process of oil reservoir geophysical research, layering division and comparison is an important basic work, which is directly related to the accuracy of later geology and reservoir interpretation. The methods of well logging layering mainly include manual, artificial intelligence, mathematical statistics and non-mathematical statistics.

[0003] Manual layering is time-consuming and laborious, has strong multi-solution, and is greatly affected by human subjective factors; the last three methods as automatic layering methods can avoid the subjectivity and randomness of interpreters and greatly improve work efficiency. The mathematical statistics method is relatively strict in mathematics, but it needs to determine one or several parameters, which are used to distinguish the changes in logging response caused by noise from the changes in lithology and fluid. Since the parameters are determined by humans, there must be errors, and the process of adjusting the parameters is relatively cumbersome; the non-mathematical statistics method has simple principle, small amount of calculation and fast layering speed, but some methods are not easy to integrate information of multiple logging curves; the artificial intelligence method needs to determine the mode manually, and then identify according to the mode, but the manually determined mode cannot completely reflect all curve shape characteristics. SUMMARY

[0004] In order to solve the above technical problems or at least partially solve the above technical problems, embodiments of the present disclosure provide a well logging layering method and device, an electronic device and a storage medium.

[0005] In a first aspect, embodiments of the present disclosure provide a well logging layering method, which comprises:

[0006] selecting a standard well in a target work area, the standard well comprising a standard layer, a logging curve and well logging layering data, wherein the logging curve is segmented according to the well logging layering data to obtain a standard logging curve segment corresponding to the standard layer;

[0007] For each standard logging curve segment, a search range corresponding to the current standard logging curve segment in the to-be-layered logging curve is determined;

[0008] taking the top of the search range as a starting point, the top of the search range is extended downward multiple times to obtain multiple to-be-layered logging curve segments between the top of the search range and multiple extension position points, the similarity between each to-be-layered logging curve segment and the corresponding standard logging curve segment is calculated, and a target extension position point with similarity exceeding a preset threshold is determined;

[0009] The well layer between the top of the search range and the target extrapolation position point is taken as the well layer corresponding to the current standard logging curve segment in the to-be-stratified logging.

[0010] In a possible implementation, the logging curve is one of a lithology curve, a resistivity curve, and a porosity curve.

[0011] In a possible implementation, for each standard logging curve segment, the search range corresponding to the current standard logging curve segment in the to-be-stratified logging curve is determined, including:

[0012] The first standard logging curve segment is obtained, wherein the top position of the first standard logging curve segment corresponds to the minimum value in all standard logging curve segments;

[0013] The search start point corresponding to the first standard logging curve segment in the to-be-stratified logging curve is obtained;

[0014] The search range corresponding to the first standard logging curve segment in the to-be-stratified logging curve is determined according to the search start point and a preset search length, wherein the preset search length is greater than the length of the first standard logging curve segment;

[0015] After the well layer corresponding to the first standard logging curve segment in the to-be-stratified logging is determined, the bottom position of the first standard logging curve segment is taken as the start point of the second standard logging curve segment, the second standard logging curve segment is obtained, and the step of obtaining the search start point corresponding to the second standard logging curve segment in the to-be-stratified logging curve is performed.

[0016] In a possible implementation, the top of the search range is taken as the start point to be extrapolated downward multiple times to obtain multiple to-be-stratified logging curve segments between the top of the search range and multiple extrapolation position points, including:

[0017] The top of the search range is taken as the start point, and the corresponding standard logging curve segment length is halved to be extrapolated downward as the first to-be-stratified logging curve segment;

[0018] The top of the search range is taken as the start point, and on the basis of the half of the standard logging curve segment length, the distance of N sampling points is continued to be extrapolated downward as the N+1 to-be-stratified logging curve segment until the length of the N+1 to-be-stratified logging curve segment is equal to or greater than the length of the search range.

[0019] In a possible implementation, the similarity between each to-be-stratified logging curve segment and the corresponding standard logging curve segment is calculated, including:

[0020] The first sampling point number of the to-be-stratified logging curve segment is determined according to the length of the to-be-stratified logging curve segment and the sampling point interval;

[0021] determining a second number of sampling points of the standard logging curve segment according to a length of the standard logging curve segment and a sampling point interval of the standard logging curve segment;

[0022] calculating a least common multiple of the first number of sampling points and the second number of sampling points;

[0023] adopting a linear interpolation method of adjacent two points to interpolate the sampling points of the to-be-layered logging curve segment, to obtain a third number of sampling points of the to-be-layered logging curve segment, wherein the third number of sampling points is the least common multiple;

[0024] adopting a linear interpolation method of adjacent two points to interpolate the sampling points of the standard logging curve segment, to obtain a fourth number of sampling points of the standard logging curve segment, wherein the fourth number of sampling points is the least common multiple;

[0025] calculating a similarity of the interpolated to-be-layered logging curve segment and the standard logging curve segment.

[0026] In a possible implementation, the similarity of the interpolated to-be-layered logging curve segment and the standard logging curve segment is calculated by the following expression:

[0027]

[0028] wherein r is the similarity of the interpolated to-be-layered logging curve segment and the standard logging curve segment, N is the number of sampling points, X is a value of a sampling point of the interpolated to-be-layered logging curve segment, and Y is a value of a sampling point of the interpolated standard logging curve segment.

[0029] In a possible implementation, the determining of the target extrapolation position point with the similarity exceeding the preset threshold value comprises:

[0030] determining an extrapolation position point with the similarity exceeding the preset threshold value;

[0031] in response to a number of the extrapolation position points with the similarity exceeding the preset threshold value being more than one, taking an extrapolation position point with the maximum similarity among all the extrapolation position points with the similarity exceeding the preset threshold value as the target extrapolation position point.

[0032] In a second aspect, an embodiment of the present disclosure provides a logging layering device, comprising:

[0033] a selecting module configured to select a standard well in a target work area, the standard well comprising a standard layer, a logging curve, and logging layering data, wherein the logging curve is segmented according to the logging layering data to obtain a standard logging curve segment corresponding to the standard layer;

[0034] a first determining module configured to determine, for each standard logging curve segment, a search range in a to-be-layered logging curve corresponding to the current standard logging curve segment;

[0035] The computing module is configured to extend downwards multiple times from the top of the search range as a starting point to obtain multiple to-be-stratified logging curve segments between the top of the search range and multiple extension position points, calculate the similarity between each to-be-stratified logging curve segment and a corresponding standard logging curve segment, and determine a target extension position point with similarity exceeding a preset threshold.

[0036] The second determining module is configured to take the well layers between the top of the search range and the target extension position point as the well layers in the to-be-stratified logging corresponding to the current standard logging curve segment.

[0037] In a third aspect, an electronic device is provided, including a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory complete communication with each other through the communication bus.

[0038] The memory is configured to store a computer program.

[0039] The processor is configured to execute the program stored on the memory to implement the logging stratification method.

[0040] In a fourth aspect, a computer readable storage medium is provided, and the computer readable storage medium stores a computer program, wherein the computer program is executed by a processor to implement the logging stratification method.

[0041] The above technical solution provided by the embodiments of the present disclosure has at least some or all of the following advantages compared with the prior art.

[0042] The logging stratification method provided by the embodiments of the present disclosure includes the following steps: a standard well is selected in a target work area, the standard well includes a standard layer, a logging curve, and logging stratification data, wherein the logging curve is segmented according to the logging stratification data to obtain standard logging curve segments stratified with the standard layer; for each standard logging curve segment, a search range corresponding to the current standard logging curve segment in a to-be-stratified logging curve is determined; the top of the search range is taken as a starting point to extend downwards multiple times to obtain multiple to-be-stratified logging curve segments between the top of the search range and multiple extension position points, the similarity between each to-be-stratified logging curve segment and a corresponding standard logging curve segment is calculated, and a target extension position point with similarity exceeding a preset threshold is determined; and the well layers between the top of the search range and the target extension position point are taken as the well layers in the to-be-stratified logging corresponding to the current standard logging curve segment. The logging automatic stratification is realized through intelligent comparison of logging curve shapes of multiple wells, a stable standard layer is found to serve as a starting point for stratification, a standard well is selected, a layer segment is selected as a sample layer segment from the starting point, and other wells are searched according to different sample layer segments in an extension similarity automatic search mode, so that the logging stratification is automatically divided. BRIEF DESCRIPTION OF DRAWINGS

[0043] The accompanying drawings, which are incorporated herein and form a part of the specification, illustrate embodiments consistent with the present disclosure and, together with the description, further serve to explain the principles of the disclosure.

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure or the prior art, the accompanying drawings needed to be used in the embodiments or the related description will be briefly introduced. Obviously, those skilled in the art can obtain other drawings from these drawings without any creative effort.

[0045] Figure 1 A well logging layering method flowchart according to an embodiment of the present disclosure is schematically shown;

[0046] Figure 2 A standard well and a non-standard well single well diagram according to an embodiment of the present disclosure is schematically shown;

[0047] Figure 3 An automatic identification result diagram when a first layer well logging layering waveform of a non-standard well is most similar according to an embodiment of the present disclosure is schematically shown;

[0048] Figure 4 A first layer well logging layering automatic identification result diagram of a non-standard well satisfying a threshold value according to an embodiment of the present disclosure is schematically shown;

[0049] Figure 5 A second layer non-standard well well logging layering search range diagram according to an embodiment of the present disclosure is schematically shown;

[0050] Figure 6 A multi-layer well logging layering automatic identification result diagram of a non-standard well according to an embodiment of the present disclosure is schematically shown;

[0051] Figure 7 A structure block diagram of a well logging layering device according to an embodiment of the present disclosure is schematically shown; and

[0052] Figure 8 A structure block diagram of an electronic device according to an embodiment of the present disclosure is schematically shown. DETAILED DESCRIPTION

[0053] In order to make the objects, technical solutions and advantages of the embodiments of the present disclosure clearer, the technical solutions in the embodiments of the present disclosure will be described clearly and completely below with reference to the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only a part of the embodiments of the present disclosure, rather than all the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by those skilled in the art without any creative effort fall within the protection scope of the present disclosure.

[0054] Referring to Figure 1 Embodiments of the present disclosure provide a well logging layering method, which comprises:

[0055] S1, selecting a standard well in a target work area, the standard well comprising a standard layer, a well logging curve and well logging layering data, wherein the well logging curve is segmented according to the well logging layering data to obtain a standard well logging curve segment corresponding to the standard layer.

[0056] In some embodiments, the well logging curve is one of a lithology curve, a resistivity curve and a porosity curve.

[0057] In some embodiments, the standard well is a well having a full-area stable standard layer in the target work area and complete stratum deposition, and has well logging curve and well logging layering data. If there are multiple such wells in the target work area, any one of them can be selected as the standard well.

[0058] In some embodiments, the standard layer is a set of strata stably distributed in the target work area and can be clearly identified on the well logging curve.

[0059] S2, for each standard well logging curve segment, determining a search range in a well logging curve to be layered corresponding to the current standard well logging curve segment.

[0060] In some embodiments, as shown in Figure 2 In the well logging curve of the standard well W1, a standard well logging curve segment with a top T and a bottom BB1 is set as a first standard well logging curve segment, starting from a layer containing the standard layer, and a search range is set in the well logging curve of the non-standard well W2 or W3, the search range containing the stratum where the first standard well logging curve segment is located, the top of the search range being consistent with the top of the first standard well logging curve segment, and the top and bottom of the search range being recorded as T and BF1 respectively.

[0061] In some embodiments, each standard well logging curve segment corresponds to one layer of the standard layer.

[0062] S3, taking the top of the search range as a starting point, extending downward multiple times to obtain multiple well logging curve segments to be layered between the top of the search range and multiple extension position points, calculating the similarity between each well logging curve segment to be layered and the corresponding standard well logging curve segment, and determining a target extension position point whose similarity exceeds a preset threshold.

[0063] Referring to Figure 2According to the automatic search mode of the extended similarity, starting from T on the non-standard well, the segment of the to-be-layered logging curve is extended downward by (BB1-T) / 2, similarity calculation is performed on the segment and the corresponding standard logging curve, then the starting point is unchanged, and the segment is extended downward by one sampling point, the sampling point is recorded as At, similarity calculation is performed on the segment and the corresponding standard logging curve, and the process is repeated until 2·(BB1-T) or (BF1-T) is reached, the position of the extended point at which the maximum similarity is recorded is recorded as BZ1, and if the maximum similarity is greater than or equal to a preset threshold, BZ1 is taken as a new layering result on the non-standard well, and BZ1 is recorded as BB1.

[0064] Referring to Figure 2 The extended similarity search mode refers to the following: under the condition that the top depth is unchanged, a certain curve segment is intercepted from the top downward according to a certain depth, and the process is repeated until 2·(BB1-T) or (BF1-T) is reached. When 2·(BB1-T) is greater than or equal to (BF1-T), the process is repeated until (BF1-T) is reached; when 2·(BB1-T) is less than (BF1-T), the process is repeated until 2·(BB1-T) is reached, that is, the smaller one is taken.

[0065] In some embodiments, the preset threshold of the similarity refers to a value used to represent the similarity degree of two curves. The greater the value, the more similar the two curves are. Generally, the interval is set to 0.5-0.95, and the specific value is set according to the situation of different work areas. For a work area with relatively stable stratum deposition, the value can be set to be relatively large, and for a work area with relatively unstable stratum deposition, the value can be set to be relatively small. Generally, 0.7 is set as the default value.

[0066] S4, taking the well layer between the top of the search range and the target extended position point as the well layer corresponding to the current standard logging curve segment in the to-be-layered logging.

[0067] In this embodiment, in step S2, for each standard logging curve segment, determining a search range corresponding to the current standard logging curve segment in the to-be-layered logging curve includes:

[0068] obtaining a first standard logging curve segment, wherein the top position of the first standard logging curve segment corresponds to the minimum value in all standard logging curve segments;

[0069] obtaining a search starting point corresponding to the first standard logging curve segment in the to-be-layered logging curve;

[0070] determining a search range corresponding to the first standard logging curve segment in the to-be-layered logging curve according to the search starting point and a preset search length, wherein the preset search length is greater than the length of the first standard logging curve segment;

[0071] After determining the well layer in the to-be-layered logging corresponding to the first standard logging curve segment, the bottom position of the first standard logging curve segment is taken as the starting point of the second standard logging curve segment, the second standard logging curve segment is obtained, and the step of obtaining the search starting point in the to-be-layered logging curve corresponding to the second standard logging curve segment is performed.

[0072] Referring to Figure 2 After determining the well layer in the to-be-layered logging corresponding to the first standard logging curve segment, the standard well moves down one adjacent standard logging curve segment, the top and bottom of the new standard logging curve segment are recorded as BB1 and BB2 respectively, the top and bottom of the search range of the non-standard well are recorded as BB1 and BF2 respectively, and the same steps as those for the first standard logging curve segment are performed for calculation until all the standard logging curve segments on the standard well are extended and similarity automatic search is performed.

[0073] In this embodiment, in step S3, the top of the search range is taken as the starting point and extended downward multiple times to obtain multiple to-be-layered logging curve segments between the top of the search range and multiple extension position points, including:

[0074] The corresponding standard logging curve segment is extended downward by half of the length of the standard logging curve segment as a first to-be-layered logging curve segment with the top of the search range as the starting point.

[0075] The corresponding standard logging curve segment is extended downward by a distance of N sampling points based on half of the length of the standard logging curve segment as an N+1 to-be-layered logging curve segment with the top of the search range as the starting point, until the length of the N+1 to-be-layered logging curve segment is equal to or greater than the length of the search range.

[0076] In this embodiment, in step S3, the similarity between each to-be-layered logging curve segment and the corresponding standard logging curve segment is calculated, including:

[0077] The first sampling point number of the to-be-layered logging curve segment is determined according to the length of the to-be-layered logging curve segment and the sampling point interval.

[0078] The second sampling point number of the standard logging curve segment is determined according to the length of the corresponding standard logging curve segment and the sampling point interval.

[0079] The least common multiple of the first sampling point number and the second sampling point number is obtained.

[0080] The sampling points of the to-be-layered logging curve segment are interpolated by using the linear interpolation method of adjacent two points to obtain a third sampling point number of the to-be-layered logging curve segment, wherein the third sampling point number is the least common multiple.

[0081] The fourth sampling point number of the standard logging curve segment is obtained by using a linear interpolation method of adjacent two points to interpolate the sampling points of the standard logging curve segment, wherein the fourth sampling point number is the least common multiple;

[0082] The similarity of the interpolated to-be-layered logging curve segment and the standard logging curve segment is calculated.

[0083] In some embodiments, the similarity of the interpolated to-be-layered logging curve segment and the standard logging curve segment is calculated by the following expression:

[0084]

[0085] wherein r is the similarity of the interpolated to-be-layered logging curve segment and the standard logging curve segment, N is the number of sampling points, X is the value of the sampling point of the interpolated to-be-layered logging curve segment, and Y is the value of the sampling point of the interpolated standard logging curve segment.

[0086] In the present embodiment, in step S3, the target extrapolation position point with the similarity exceeding the preset threshold is determined by:

[0087] The extrapolation position point with the similarity exceeding the preset threshold is determined.

[0088] In response to the number of the extrapolation position points with the similarity exceeding the preset threshold exceeding 1, the extrapolation position point with the maximum similarity among all the extrapolation position points with the similarity exceeding the preset threshold is taken as the target extrapolation position point.

[0089] The present disclosure starts from the concept of waveform similarity, uses an extrapolation similarity automatic search method to calculate all sample layer segments on a standard well, finds the layering result of the curve segment most similar to the standard well on a non-standard well, and achieves the purpose of quickly, efficiently and accurately identifying logging layering.

[0090] Taking a resistivity curve as an example, the application process of the logging layering method of the present disclosure is explained:

[0091] 1) Select a standard well, see Figure 2 W1 well in FIG. 1, T is the top of the stable standard layer in the whole area, the resistivity value on the resistivity curve is large, and the resistivity value below it suddenly becomes small, and Figure 2 The characteristics of the three wells are obvious.

[0092] 2) On the standard well, from the layering containing the standard layer, the layer segment is taken as a sample layer segment, the top and the bottom are respectively recorded as T and BB1, see Figure 2 W1 well in FIG. 1, the search range is set on the non-standard well, and the search range should contain the stratum where the sample layer segment is located, wherein the top of the search range should be consistent with the top of the sample layer segment, and the top and the bottom of the search range are respectively recorded as T and BF1, seeFigure 2 W2 well, W3 well, the depth of BF1 can be larger, to ensure that the T~BB1 section of the formation is contained in the T~BF1 section of the formation;

[0093] 3) According to the automatic search mode of extension similarity, from T on the non-standard well, extend downward (BB1-T) / 2, see Figure 3 W2 well, W3 well, respectively, the curves in the layer section of W2 and W3 are calculated with the curves in the sample layer section of W1, then the starting point is unchanged, and the sampling point is continued to extend downward by one sampling point, the sampling point is recorded as △t, and the similarity calculation is performed with the curves in the sample layer section, and the similarity calculation is performed in this way until the calculation reaches 2·(BB1-T) or (BF1-T). The extension point position is recorded when the similarity is the largest, and is recorded as BZ1, that is, see Figure 4 , the similarity of the T~BZ1 section curves of W2 well and W3 well and the T~BB1 section curves of W1 well is the highest;

[0094] 4) Set the similarity threshold value, respectively judge the maximum similarity of the T~BZ1 section curves of W2 well and W3 well and the T~BB1 section curves of W1 well and the size of the threshold value, when the maximum similarity calculated in step 3) is greater than or equal to the threshold value, then BZ1 is taken as the new layering result of the non-standard well, and BZ1 is recorded as BB1, see Figure 5 , respectively judge the maximum similarity of the T~BZ1 section curves of W2 well and W3 well and the T~BB1 section curves of W1 well and the size of the threshold value;

[0095] 5) The standard well moves downward by one adjacent layer section, and the top and bottom of the new sample layer section are recorded as BB1 and BB2, see Figure 5 W1 well, the top and bottom of the search range of the non-standard well are recorded as BB1 and BF2, see Figure 6 W2 well, W3 well, calculate according to steps 2), 3), 4), repeat the above steps until all sample layer sections on the standard well are subjected to automatic search of extension similarity, see Figure 7 W2 well, W3 well, the automatic search result of well logging layering is BB2 and BB3 respectively.

[0096] Referring to Figure 8 , the embodiment of the disclosure provides a well logging layering device, which comprises:

[0097] The selecting module 11 is used for selecting a standard well in a target work area, and the standard well comprises a standard layer, a well logging curve and well logging layering data, wherein the well logging curve is segmented according to the well logging layering data to obtain a standard well logging curve segment corresponding to the standard layer;

[0098] The first determining module 12 is configured to determine, for each standard logging curve segment, a search range in the to-be-layered logging curve corresponding to the current standard logging curve segment;

[0099] The calculating module 13 is configured to downwardly extrapolate multiple times from the top of the search range as a starting point, to obtain multiple to-be-layered logging curve segments between the top of the search range and multiple extrapolation position points, calculate the similarity between each to-be-layered logging curve segment and the corresponding standard logging curve segment, and determine a target extrapolation position point with similarity exceeding a preset threshold;

[0100] The second determining module 14 is configured to determine, as the layer in the to-be-layered logging corresponding to the current standard logging curve segment, the layer between the top of the search range and the target extrapolation position point.

[0101] In the logging layering device, each layer of the logging is divided according to the morphological characteristics such as lithology, pore fluid and sedimentary environment of the logging curve, and the automation, high efficiency, high accuracy and wide applicability of layering are realized.

[0102] The implementation process of the functions and roles of each unit in the device is specifically described in the implementation process of the corresponding steps in the above method, and will not be repeated here.

[0103] For the device embodiment, since it basically corresponds to the method embodiment, the related parts can be referred to the part of the method embodiment. The device embodiment described above is only illustrative, and the units described as separate components can be or can not be physically separated, and the components displayed as units can be or can not be physical units, that is, they can be located in one place or distributed on multiple network units. According to actual needs, part or all of the modules can be selected to achieve the purpose of the present application scheme. Those skilled in the art can understand and implement it without creative labor.

[0104] In the second embodiment, any multiple of the selection module 11, the first determination module 12, the calculation module 13 and the second determination module 14 can be combined in one module, or any one of the modules can be split into multiple modules. Alternatively, at least part of the function of one or more of the modules can be combined with at least part of the function of the other modules, and implemented in one module. At least one of the selection module 11, the first determination module 12, the calculation module 13 and the second determination module 14 can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on chip, a system on board, a system on package, an application specific integrated circuit (ASIC), or any other reasonable way of integrating or packaging a circuit, etc. hardware or firmware, or any one of software, hardware and firmware or any appropriate combination of any of them. Alternatively, at least one of the selection module 11, the first determination module 12, the calculation module 13 and the second determination module 14 can be at least partially implemented as a computer program module which can perform the corresponding function when executed.

[0105] Referring to ​ The fourth exemplary embodiment of the present disclosure provides an electronic device, comprising a processor 1110, a communication interface 1120, a memory 1130 and a communication bus 1140, wherein the processor 1110, the communication interface 1120 and the memory 1130 complete mutual communication through the communication bus 1140.

[0106] The memory 1130 is used to store a computer program.

[0107] The processor 1110 is used to execute the program stored in the memory 1130, and implement the following well logging layering method:

[0108] A standard well is selected in a target work area, the standard well comprising a standard layer, a well logging curve and well logging layering data, wherein the well logging curve is segmented according to the well logging layering data to obtain standard well logging curve segments corresponding to the standard layer;

[0109] For each standard well logging curve segment, a search range corresponding to the current standard well logging curve segment in the well logging curve to be layered is determined;

[0110] The top of the search range is taken as a starting point to be extended downward multiple times to obtain multiple well logging curve segments to be layered between the top of the search range and multiple extension position points, the similarity between each well logging curve segment to be layered and the corresponding standard well logging curve segment is calculated, and a target extension position point whose similarity exceeds a preset threshold is determined;

[0111] The well layers between the top of the search range and the target extrapolation position point are taken as the well layers corresponding to the current standard logging curve segment in the to-be-layered logging.

[0112] The communication bus 1140 can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The communication bus 1140 can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one thick line is used in the figure, but it does not mean that there is only one bus or only one type of bus.

[0113] The communication interface 1120 is configured to communicate between the electronic device and other devices.

[0114] The memory 1130 can include a Random Access Memory (RAM) and can further include a non-volatile memory, such as at least one disk memory. Optionally, the memory 1130 can be at least one storage device located away from the aforementioned processor 1110.

[0115] The processor 1110 can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc. The processor 1110 can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component.

[0116] Embodiments of the present disclosure further provide a computer readable storage medium. The computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the well layering method as described above.

[0117] The computer readable storage medium can be included in the device / apparatus described in the above embodiments; or can exist separately and not be assembled into the device / apparatus. The computer readable storage medium carries one or more programs, and when the one or more programs are executed, the well layering method according to the embodiments of the present disclosure is implemented.

[0118] According to embodiments of the present disclosure, the computer readable storage medium can be a non-transitory computer readable storage medium, for example, can include, but is not limited to, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium can be any tangible medium that contains or stores a program, which can be used by or in connection with an instruction execution system, apparatus, or device.

[0119] It should be noted that, in the present document, relational terms such as "first" and "second", and the like can be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus. An element proceeded by "comprises... a" does not, without more constraints, exclude the existence of additional identical elements in the process, method, article, or apparatus that comprises the element.

[0120] The foregoing is merely illustrative of the principles of this disclosure and various modifications can be made by persons skilled in the art without departing from the scope and nature of the disclosure disclosed herein. Accordingly, although the present disclosure has been described by reference to the embodiments, it is not intended that it be limited by what has been presented. Therefore, the scope of the disclosure should be determined, not with reference to the above description, but should instead be determined with reference to the appended claims, along with their full scope of equivalents.

Claims

1. A method of well separation, characterized by, The method comprises: selecting a standard well in a target work area, the standard well comprising standard layers, well logging curves and well logging layering data, wherein the well logging curves are segmented according to the well logging layering data to obtain standard well logging curve segments corresponding to the standard layers; for each standard well logging curve segment, determining a search range in the well logging curve to be layered corresponding to the current standard well logging curve segment; downwardly extending the top of the search range as a starting point multiple times to obtain multiple well logging curve segments to be layered between the top of the search range and multiple extension position points, calculating the similarity between each well logging curve segment to be layered and the corresponding standard well logging curve segment, and determining a target extension position point with a similarity exceeding a preset threshold; taking the well layer between the top of the search range and the target extension position point as the well layer in the well logging to be layered corresponding to the current standard well logging curve segment; the method further comprises: obtaining a first standard well logging curve segment, wherein the top position of the first standard well logging curve segment corresponds to the minimum value in all standard well logging curve segments; obtaining a search starting point in the well logging curve to be layered corresponding to the first standard well logging curve segment; determining a search range in the well logging curve to be layered corresponding to the first standard well logging curve segment according to the search starting point and a preset search length, wherein the preset search length is greater than the length of the first standard well logging curve segment; after determining the well layer in the well logging to be layered corresponding to the first standard well logging curve segment, taking the bottom position of the first standard well logging curve segment as the starting point of a second standard well logging curve segment, obtaining the second standard well logging curve segment, and performing the step of obtaining a search starting point in the well logging curve to be layered corresponding to the second standard well logging curve segment.

2. The method of claim 1, wherein, The well logging curve is one of a lithology curve, a resistivity curve and a porosity curve.

3. The method of claim 1, wherein, the method further comprises: downwardly extending the corresponding standard well logging curve segment by half of the length of the standard well logging curve segment as a first well logging curve segment to be layered with the top of the search range as the starting point; continuing to downwardly extend the corresponding standard well logging curve segment by a distance of N sampling points on the basis of half of the length of the standard well logging curve segment as an N+1 well logging curve segment to be layered with the top of the search range as the starting point, until the length of the N+1 well logging curve segment to be layered is equal to or greater than the length of the search range.

4. The method of claim 1, wherein, the method further comprises: determining a first sampling point number of the well logging curve segment to be layered according to the length of the well logging curve segment to be layered and the sampling point interval; determining a second sampling point number of the standard well logging curve segment according to the length of the standard well logging curve segment and the sampling point interval; obtaining the least common multiple of the first sampling point number and the second sampling point number; The linear interpolation method of two adjacent points is used to interpolate the sampling points of the to-be-layered logging curve segment, to obtain a third sampling point number of the to-be-layered logging curve segment, wherein the third sampling point number is the least common multiple; The linear interpolation method of two adjacent points is used to interpolate the sampling points of the to-be-layered logging curve segment, to obtain a third sampling point number of the to-be-layered logging curve segment, wherein the third sampling point number is the least common multiple; The similarity between the interpolated to-be-layered logging curve segment and the standard logging curve segment is calculated.

5. The method of claim 4, wherein, The similarity between the interpolated to-be-layered logging curve segment and the standard logging curve segment is calculated through the following expression: Wherein, r is the similarity between the interpolated to-be-layered logging curve segment and the standard logging curve segment, N is the number of sampling points, X is the value of the sampling point of the interpolated to-be-layered logging curve segment, and Y is the value of the sampling point of the interpolated standard logging curve segment.

6. The method of claim 1, wherein, The target extrapolation position point with the similarity exceeding the preset threshold value is determined, including: The extrapolation position point with the similarity exceeding the preset threshold value is determined; In response to the number of extrapolation position points with the similarity exceeding the preset threshold value being more than one, the extrapolation position point with the maximum similarity among all the extrapolation position points with the similarity exceeding the preset threshold value is taken as the target extrapolation position point.

7. A well-logging apparatus, characterized by Including: The selecting module is configured to select a standard well in a target work area, the standard well including a standard layer, a logging curve and logging layering data, wherein the logging curve is segmented according to the logging layering data to obtain a standard logging curve segment corresponding to the standard layer; The first determining module is configured to determine, for each standard logging curve segment, a search range in the to-be-layered logging curve corresponding to the current standard logging curve segment; The calculating module is configured to take the top of the search range as a starting point to extrapolate downward multiple times to obtain multiple to-be-layered logging curve segments between the top of the search range and multiple extrapolation position points, calculate the similarity between each to-be-layered logging curve segment and the corresponding standard logging curve segment, and determine a target extrapolation position point with the similarity exceeding a preset threshold value; The second determining module is configured to take the well layer between the top of the search range and the target extrapolation position point as a well layer in the to-be-layered logging corresponding to the current standard logging curve segment. The first determining module is configured to determine, for each standard logging curve segment, a search range in the to-be-layered logging curve corresponding to the current standard logging curve segment, including: The top position of the first standard logging curve segment corresponds to the minimum value in all standard logging curve segments; The search starting point in the to-be-layered logging curve corresponding to the first standard logging curve segment is obtained; The search range in the to-be-layered logging curve corresponding to the first standard logging curve segment is determined according to the search starting point and a preset search length, wherein the preset search length is greater than the length of the first standard logging curve segment; After the well layer in the to-be-layered logging corresponding to the first standard logging curve segment is determined, the bottom position of the first standard logging curve segment is taken as the starting point of the second standard logging curve segment, the second standard logging curve segment is obtained, and the step of obtaining the search starting point in the to-be-layered logging curve corresponding to the second standard logging curve segment is performed.

8. An electronic device, comprising: The device comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus; The memory is used for storing a computer program; The processor is used for executing the program stored on the memory, and realizes the method for logging and separating layers in any one of claims 1-6.

9. A computer readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor, and realizes the method for logging and separating layers in any one of claims 1-6.

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