Logging data processing method, device and equipment and readable storage medium

Abstract

The invention discloses a logging data processing method, device and equipment and a readable storage medium in the technical field of logging. After the positioning information of each casing in the well is determined, the full-amount logging data of the well is divided into a plurality of data segments according to the casing connection positions calibrated by the positioning information, and then the curve representation corresponding to each data segment is generated, so that the corresponding error of the depth and the data is decomposed to be minimum; and finally, splicing the curve representation of each data segment so as to obtain a full-dose curve graph corresponding to the full-dose logging data. According to the scheme, each data segment independently forms curve representation, and the total error can be decomposed, so that the error of the total curve is reduced, and a more accurate total curve graph is obtained.

Description

Technical Field

[0001] The present application relates to the field of well logging technology, and in particular to a well logging data processing method, device, equipment and readable storage medium. Background Art

[0002] Normally, logging instruments can measure the depth of the well, well wall characteristics and other data while moving in the well, and the measured data needs to be spread out over the entire well for display. However, since the logging instruments do not move at a strictly uniform speed in the well, when the measured data is spread out over the depth of the entire well, each depth segment does not match the corresponding measurement data.

[0003] Therefore, how to accurately spread the logging data over the entire well is a problem that technicians in this field need to solve. Summary of the invention

[0004] In view of this, the purpose of this application is to provide a logging data processing method, device, equipment and readable storage medium to accurately spread the logging data over the entire well. The specific scheme is as follows:

[0005] In a first aspect, the present application provides a method for processing well logging data, comprising:

[0006] Determine the positioning information of each casing in the well;

[0007] Dividing the full logging data of the well into a plurality of data segments according to the casing connection position calibrated by the positioning information;

[0008] A curve representation corresponding to each data segment is generated respectively, and the curve representations are spliced ​​to obtain a full-volume curve graph corresponding to the full-volume logging data.

[0009] Optionally, determining the positioning information of each casing in the well includes:

[0010] Determine the casing magnetic positioning curve according to the full logging data;

[0011] The casing connection positions between adjacent casings in the well are determined according to the casing magnetic positioning curve to obtain the positioning information.

[0012] Optionally, determining the casing connection position between adjacent casings in the well according to the casing magnetic positioning curve includes:

[0013] Determine a maximum peak or a maximum trough on the casing magnetic positioning curve;

[0014] The casing connection position between adjacent casings in the well is determined according to the position corresponding to the maximum wave crest or the maximum wave trough.

[0015] Optionally, generating a curve representation corresponding to each data segment includes:

[0016] For each data segment, an acoustic amplitude curve graph, a variable density curve graph, a gamma curve graph and a magnetic positioning curve graph are generated.

[0017] Optionally, the splicing of the curve representations to obtain a full-volume curve graph corresponding to the full-volume logging data includes:

[0018] The sound amplitude curve graphs of each data segment are spliced ​​in the order of the sleeve connection positions to obtain a full sound amplitude curve graph;

[0019] splicing the variable density curve graphs of each data segment according to the sequence of the casing connection positions to obtain a full variable density curve graph;

[0020] splicing the gamma curve graphs of the data segments in the order of the sleeve connection positions to obtain a full gamma curve graph;

[0021] splicing the magnetic positioning curves of each data segment in the order of the casing connection positions to obtain a full magnetic positioning curve;

[0022] Among them, the full quantity curve graph includes: the full quantity sound amplitude curve graph, the full quantity variable density curve graph, the full quantity gamma curve graph and the full quantity magnetic positioning curve graph.

[0023] Optionally, it also includes:

[0024] Comparing the full-volume magnetic positioning curve with a casing magnetic positioning curve determined based on the full-volume logging data;

[0025] The optimization rate of the full amount curve graph is calculated according to the comparison result.

[0026] Optionally, it also includes:

[0027] The full logging data is obtained according to the original data collected by the logging equipment for the well.

[0028] In a second aspect, the present application provides a well logging data processing device, comprising:

[0029] A determination module, used to determine the positioning information of each casing in the well;

[0030] A division module, used to divide the full logging data of the well into multiple data segments according to the casing connection position calibrated by the positioning information;

[0031] The processing module is used to generate a curve representation corresponding to each data segment, and to splice the curve representations to obtain a full-volume curve diagram corresponding to the full-volume logging data.

[0032] In a third aspect, the present application provides an electronic device, including:

[0033] Memory for storing computer programs;

[0034] The processor is used to execute the computer program to implement the well logging data processing method disclosed above.

[0035] In a fourth aspect, the present application provides a readable storage medium for storing a computer program, wherein the computer program, when executed by a processor, implements the aforementioned disclosed well logging data processing method.

[0036] It can be seen from the above scheme that the present application provides a method for processing well logging data, including: determining the positioning information of each casing in the well; dividing the full amount of well logging data of the well into multiple data segments according to the casing connection position calibrated by the positioning information; generating a curve representation corresponding to each data segment respectively, and splicing the curve representations to obtain a full amount of curve graph corresponding to the full amount of well logging data.

[0037] It can be seen that after determining the positioning information of each casing in the well, the present application divides the full logging data of the well into multiple data segments according to the casing connection position calibrated by the positioning information, and then generates a curve representation corresponding to each data segment, thereby decomposing the corresponding error between the depth and the data to the minimum; finally, the curve representation of each data segment is spliced ​​to obtain the full curve graph corresponding to the full logging data. This scheme enables each data segment to form a curve representation independently, which can decompose the overall error and more accurately lay out the full logging data on the entire well, thereby reducing the error of the full curve and obtaining a more accurate full curve graph.

[0038] Correspondingly, a logging data processing device, equipment and readable storage medium provided by the present application also have the above-mentioned technical effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0040] Figure 1 A flow chart of a well logging data processing method disclosed in this application;

[0041] Figure 2 A schematic diagram of data division and magnetic positioning curve disclosed in this application;

[0042] Figure 3 A schematic diagram of a data partitioning process disclosed in this application;

[0043] Figure 4 A schematic diagram of a well logging data processing device disclosed in the present application;

[0044] Figure 5 A schematic diagram of an electronic device disclosed in this application;

[0045] Figure 6 A server structure diagram provided for this application;

[0046] Figure 7 A terminal structure diagram provided for this application. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0048] At present, the logging instrument can measure the depth of the well, well wall characteristics and other data while moving in the well, and the measured data needs to be spread over the entire well for display. However, since the logging instrument does not move at a strictly uniform speed in the well, when the measured data is spread over the depth of the entire well, each depth segment does not match the corresponding measurement data. To this end, the present application provides a logging data processing solution that can make each data segment obtained by dividing the full amount of logging data independently form a curve representation, thereby decomposing the overall error and spreading the full amount of logging data more accurately over the entire well, thereby reducing the error of the full amount curve and obtaining a more accurate full amount curve diagram.

[0049] See also Figure 1 As shown, the embodiment of the present application discloses a method for processing well logging data, comprising:

[0050] S101, determining the positioning information of each casing in the well.

[0051] The "well" described in this embodiment is a direct-push cementing well, and specifically can be a water well, an oil well, etc. The casing is placed parallel to the well in a sleeved manner, generally serving as the well wall. The length of a single casing is fixed, and the casing connection position between adjacent casings is generally provided with a magnetic device for detection by logging equipment. The logging equipment transmits data in a cable-free form, and the measured data can be stored inside the instrument, read after leaving the well, and depth matching and correction are performed, and then played back into a graph.

[0052] Generally, logging equipment is pushed to the bottom of the well through coiled tubing and then pulled out to control the movement of the logging equipment in the well. Coiled tubing is a pipe made of low-carbon alloy steel with good flexibility. A coil of coiled tubing is several thousand meters long and can be directly coiled on a tubing vehicle for continuous tripping.

[0053] It should be noted that the logging equipment can measure the full logging data when it moves in the well, and the casing magnetic positioning curve can be generated through the relevant data of the magnetic device included in the full logging data, thereby locating the position of each casing in the well. Generally, the full acoustic amplitude curve, the full variable density curve, the full gamma curve and the full magnetic positioning curve can be directly formed through the full logging data, but because the logging instrument does not move at a strict uniform speed in the well, when the full logging data is flattened at the depth of the entire well, each depth segment does not match the corresponding measurement data. Therefore, this embodiment first segments the full logging data to decompose the matching error, and then splices it to form each curve.

[0054] In one embodiment, determining the positioning information of each casing in the well includes: determining a casing magnetic positioning curve according to full logging data; determining the casing connection position between adjacent casings in the well according to the casing magnetic positioning curve to obtain positioning information.

[0055] In one embodiment, determining the casing connection position between adjacent casings in a well according to the casing magnetic positioning curve includes: determining the maximum peak or maximum trough on the casing magnetic positioning curve; and determining the casing connection position between adjacent casings in the well according to the position corresponding to the maximum peak or maximum trough. Figure 2 As shown, the data segmentation point can be determined near the maximum peak on the casing magnetic positioning curve. There is a slight discrepancy between the position of the maximum peak and the data segmentation point. This is because dividing at the position of the maximum peak can easily cause the maximum peak data to be lost. Therefore, the data segmentation point can be determined by moving forward or backward for a period of time (such as 1 second). Figure 2 The sawtooth wave measured during the movement of the logging equipment has a larger amplitude at the casing connection, forming a maximum wave peak.

[0056] In one embodiment, the method further includes: obtaining full logging data based on original data collected by the logging equipment for the well.

[0057] S102, dividing the full logging data of the well into multiple data segments according to the casing connection positions calibrated by the positioning information.

[0058] It should be noted that after the full logging data of the well is divided into multiple data segments according to the casing connection position calibrated by the positioning information, each data segment can be manually fine-tuned to improve the accuracy of the division. Among them, one data segment corresponds to one casing, so there are as many data segments as there are casings.

[0059] S103, respectively generate a curve representation corresponding to each data segment, and splice the curve representations to obtain a full-volume curve graph corresponding to the full-volume logging data.

[0060] In one embodiment, the curve representation corresponding to each data segment is generated respectively, including: generating an acoustic amplitude curve graph, a variable density curve graph, a gamma curve graph and a magnetic positioning curve graph for each data segment. In one embodiment, the curve representations are spliced ​​to obtain a full amount curve graph corresponding to the full amount of well logging data, including: splicing the acoustic amplitude curve graphs of each data segment in the order of casing connection positions to obtain a full amount acoustic amplitude curve graph; splicing the variable density curve graphs of each data segment in the order of casing connection positions to obtain a full amount variable density curve graph; splicing the gamma curve graphs of each data segment in the order of casing connection positions to obtain a full amount gamma curve graph; splicing the magnetic positioning curve graphs of each data segment in the order of casing connection positions to obtain a full amount magnetic positioning curve graph; wherein the full amount curve graph includes: a full amount acoustic amplitude curve graph, a full amount variable density curve graph, a full amount gamma curve graph and a full amount magnetic positioning curve graph.

[0061] In one embodiment, it also includes: comparing the full magnetic positioning curve diagram with the casing magnetic positioning curve determined according to the full logging data; and calculating the optimization rate of the full curve diagram according to the comparison result. Referring to the above, the casing magnetic positioning curve determined according to the full logging data may be completely consistent with the spliced ​​full magnetic positioning curve diagram, or there may be differences, but it is clear that the spliced ​​full magnetic positioning curve diagram is more accurate, so the difference obtained by comparing the casing magnetic positioning curve with the full magnetic positioning curve diagram can characterize the superiority of the scheme of this embodiment, and the greater the difference, the better the superiority of the scheme of this embodiment.

[0062] It can be seen that after determining the positioning information of each casing in the well, this embodiment divides the full logging data of the well into multiple data segments according to the casing connection position calibrated by the positioning information, and then generates a curve representation corresponding to each data segment, thereby decomposing the corresponding error between the depth and the data to the minimum; finally, the curve representation of each data segment is spliced ​​to obtain the full curve graph corresponding to the full logging data. This solution enables each data segment to form a curve representation independently, which can decompose the overall error and more accurately lay the full logging data on the entire well, thereby reducing the error of the full curve and obtaining a more accurate full curve graph.

[0063] In one example, the full logging data can be divided into multiple segments with reference to the casing magnetic positioning curve. Specifically, the dril file used by the logging system is generated by the casing data provided by the well team. After importing the magnetic positioning curve, the magnetic positioning threshold value is input to automatically segment and export the data. The casing data includes: the length of a single casing, the total length of the well, etc. The magnetic positioning threshold value a is used to determine whether a peak or a trough appears. Please refer to Figure 3, if the amplitude at a certain moment on the magnetic positioning curve is greater than the magnetic positioning threshold value a, then the current moment minus 1 second is used as the upper boundary of the interception interval. If the amplitude is greater than a again after the current moment, the moment corresponding to the amplitude greater than a minus 1 second is used as the lower boundary of the interception interval. In this way, a time period can be intercepted, and the data corresponding to this time period in the full logging data is used as a data segment. Based on this, n intercepted data segments can be obtained. If the automatic interception effect does not meet the expectations, each intercepted data segment can be manually adjusted. The data of each intercepted data segment separately forms an acoustic amplitude curve, a variable density curve, a gamma curve and a magnetic positioning curve, and then these curves are spliced ​​to obtain the full acoustic amplitude curve, variable density curve, gamma curve and magnetic positioning curve. Since the error is divided into n parts, it can be considered that the error is reduced to a negligible level, and a high-quality curve without subsequent depth correction is obtained.

[0064] It can be seen that by using casing data and taking the junction between casing and casing (coupling) as the dividing point, the continuous full logging data is segmented, so that the error is decomposed one by one to the minimum, and then re-joined, so that the resulting curve does not need to be corrected later. Among them, the automatic data interception through magnetic positioning curve further reduces the workload. There is no need to record the depth during field logging, and the depth is assigned after the instrument leaves the well, which reduces nearly two-thirds of the logging time, field logging workload and depth correction work of direct push storage cementing logging, and also reduces the hidden dangers of depth anomalies.

[0065] A well logging data processing device provided in an embodiment of the present application is introduced below. The well logging data processing device described below can be cross-referenced with other embodiments described in this document.

[0066] See also Figure 4 As shown, the embodiment of the present application discloses a well logging data processing device, comprising:

[0067] A determination module 401 is used to determine the location information of each casing in the well;

[0068] A division module 402 is used to divide the full logging data of the well into multiple data segments according to the casing connection position calibrated by the positioning information;

[0069] The processing module 403 is used to generate a curve representation corresponding to each data segment, and to splice the curve representations to obtain a full-volume curve diagram corresponding to the full-volume logging data.

[0070] In one implementation, the determination module is specifically configured to:

[0071] Determine the casing magnetic positioning curve based on the full logging data;

[0072] The casing connection positions between adjacent casings in the well are determined according to the casing magnetic positioning curve to obtain positioning information.

[0073] In one implementation, the determination module is specifically configured to:

[0074] Determine the maximum peak or maximum trough on the casing magnetic positioning curve;

[0075] The casing connection position between adjacent casings in the well is determined according to the position corresponding to the maximum wave crest or the maximum wave trough.

[0076] In one embodiment, the processing module is specifically used for:

[0077] For each data segment, an acoustic amplitude curve graph, a variable density curve graph, a gamma curve graph and a magnetic positioning curve graph are generated.

[0078] In one embodiment, the processing module is specifically used for:

[0079] The sound amplitude curves of each data segment are spliced ​​in the order of the casing connection positions to obtain a full sound amplitude curve;

[0080] The variable density curves of each data segment are spliced ​​in the order of the casing connection positions to obtain a full variable density curve;

[0081] The gamma curve graphs of each data segment are spliced ​​in the order of the sleeve connection positions to obtain a full gamma curve graph;

[0082] The magnetic positioning curves of each data segment are spliced ​​in the order of the casing connection positions to obtain a full magnetic positioning curve;

[0083] Among them, the full quantity curve graph includes: full quantity sound amplitude curve graph, full quantity variable density curve graph, full quantity gamma curve graph and full quantity magnetic positioning curve graph.

[0084] In one embodiment, it further includes:

[0085] The comparison module is used to compare the full-volume magnetic positioning curve with the casing magnetic positioning curve determined based on the full-volume logging data; and calculate the optimization rate of the full-volume curve based on the comparison result.

[0086] In one embodiment, it further includes:

[0087] The data acquisition module is used to obtain the full logging data based on the original data collected by the logging equipment for the well.

[0088] Among them, for more specific working processes of each module and unit in this embodiment, reference can be made to the corresponding contents disclosed in the aforementioned embodiments, which will not be repeated here.

[0089] It can be seen that this embodiment provides a well logging data processing device, which can make each data segment obtained by dividing the full amount of well logging data independently form a curve representation, thereby decomposing the overall error and spreading the full amount of well logging data more accurately over the entire well, thereby reducing the error of the full amount curve and obtaining a more accurate full amount curve diagram.

[0090] An electronic device provided in an embodiment of the present application is introduced below. The electronic device described below can be referenced to other embodiments described in this document.

[0091] See also Figure 5 As shown, the embodiment of the present application discloses an electronic device, including:

[0092] Memory 501, used for storing computer programs;

[0093] The processor 502 is used to execute the computer program to implement the method disclosed in any of the above embodiments.

[0094] Furthermore, the present application also provides an electronic device. The electronic device can be Figure 6 The server shown can also be Figure 7 Terminal shown. Figure 6 and Figure 7 All of them are structural diagrams of electronic devices according to an exemplary embodiment, and the contents in the diagrams cannot be regarded as any limitation on the scope of use of the present application.

[0095] Figure 6 A schematic diagram of the structure of a server provided in an embodiment of the present application. The server may specifically include: at least one processor, at least one memory, a power supply, a communication interface, an input / output interface, and a communication bus. The memory is used to store a computer program, which is loaded and executed by the processor to implement the relevant steps in the well logging data processing disclosed in any of the aforementioned embodiments.

[0096] In this embodiment, the power supply is used to provide working voltage for each hardware device on the server; the communication interface can create a data transmission channel between the server and external devices, and the communication protocol it follows is any communication protocol that can be applied to the technical solution of the present application, and is not specifically limited here; the input and output interface is used to obtain external input data or output data to the outside world, and its specific interface type can be selected according to specific application needs and is not specifically limited here.

[0097] In addition, the memory as a carrier for resource storage can be a read-only memory, random access memory, disk or CD, etc. The resources stored thereon include operating system, computer programs and data, etc. The storage method can be temporary storage or permanent storage.

[0098] The operating system is used to manage and control the hardware devices and computer programs on the server to realize the operation and processing of the data in the memory by the processor, and it can be Windows Server, Netware, Unix, Linux, etc. In addition to the computer program that can be used to complete the well logging data processing method disclosed in any of the above embodiments, the computer program can also further include computer programs that can be used to complete other specific tasks. In addition to data such as application update information, the data can also include data such as application developer information.

[0099] Figure 7 A schematic diagram of the structure of a terminal provided in an embodiment of the present application, the terminal may specifically include but is not limited to a smart phone, a tablet computer, a laptop computer or a desktop computer, etc.

[0100] Generally, the terminal in this embodiment includes: a processor and a memory.

[0101] Among them, the processor may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor may be implemented in at least one hardware form of DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). The processor may also include a main processor and a coprocessor. The main processor is a processor for processing data in the awake state, also known as a CPU (Central Processing Unit); the coprocessor is a low-power processor for processing data in the standby state. In some embodiments, the processor may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the display screen. In some embodiments, the processor may also include an AI (Artificial Intelligence) processor, which is used to process computing operations related to machine learning.

[0102] The memory may include one or more computer-readable storage media, which may be non-transitory. The memory may also include high-speed random access memory, and non-volatile memory, such as one or more disk storage devices, flash memory storage devices. In this embodiment, the memory is at least used to store the following computer program, wherein, after the computer program is loaded and executed by the processor, it can implement the relevant steps in the logging data processing method performed by the terminal side disclosed in any of the aforementioned embodiments. In addition, the resources stored in the memory may also include an operating system and data, etc., and the storage method may be temporary storage or permanent storage. Among them, the operating system may include Windows, Unix, Linux, etc. The data may include but is not limited to update information of the application.

[0103] In some embodiments, the terminal may also include a display screen, an input and output interface, a communication interface, a sensor, a power supply, and a communication bus.

[0104] Those skilled in the art will understand that Figure 7 The structure shown in the figure does not constitute a limitation on the terminal, and may include more or fewer components than those shown in the figure.

[0105] A readable storage medium provided in an embodiment of the present application is introduced below. The readable storage medium described below can be cross-referenced with other embodiments described in this document.

[0106] A readable storage medium is used to store a computer program, wherein the computer program, when executed by a processor, implements the logging data processing method disclosed in the above embodiment. The specific steps of the method can refer to the corresponding contents disclosed in the above embodiment, and will not be repeated here.

[0107] The "first", "second", "third", "fourth", etc. (if any) referred to in this application are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods or devices.

[0108] It should be noted that the descriptions involving "first", "second", etc. in this application are only for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in this field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by this application.

[0109] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0110] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of readable storage medium known in the art.

[0111] Specific examples are used herein to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A method for processing well logging data, characterized in that: include: Determine the positioning information of each casing in the well; Dividing the full logging data of the well into a plurality of data segments according to the casing connection position calibrated by the positioning information; A curve representation corresponding to each data segment is generated respectively, and the curve representations are spliced ​​to obtain a full-volume curve graph corresponding to the full-volume logging data.

2. The method according to claim 1, characterized in that Determining the positioning information of each casing in the well includes: Determine the casing magnetic positioning curve according to the full logging data; The casing connection positions between adjacent casings in the well are determined according to the casing magnetic positioning curve to obtain the positioning information.

3. The method according to claim 2, characterized in that The method of determining the casing connection position between adjacent casings in the well according to the casing magnetic positioning curve comprises: Determine a maximum peak or a maximum trough on the casing magnetic positioning curve; The casing connection position between adjacent casings in the well is determined according to the position corresponding to the maximum wave crest or the maximum wave trough.

4. The method according to claim 1, characterized in that The step of respectively generating a curve representation corresponding to each data segment comprises: For each data segment, an acoustic amplitude curve graph, a variable density curve graph, a gamma curve graph and a magnetic positioning curve graph are generated.

5. The method according to claim 3, characterized in that: The splicing of the curves to obtain the full amount curve graph corresponding to the full amount of well logging data includes: The sound amplitude curve graphs of each data segment are spliced ​​in the order of the sleeve connection positions to obtain a full sound amplitude curve graph; splicing the variable density curve graphs of each data segment in the order of the casing connection positions to obtain a full variable density curve graph; splicing the gamma curve graphs of the data segments in the order of the sleeve connection positions to obtain a full gamma curve graph; splicing the magnetic positioning curves of each data segment in the order of the casing connection positions to obtain a full magnetic positioning curve; Among them, the full quantity curve graph includes: the full quantity sound amplitude curve graph, the full quantity variable density curve graph, the full quantity gamma curve graph and the full quantity magnetic positioning curve graph.

6. The method according to claim 5, characterized in that Also includes: Comparing the full-volume magnetic positioning curve with a casing magnetic positioning curve determined based on the full-volume logging data; The optimization rate of the full amount curve graph is calculated according to the comparison result.

7. The method according to any one of claims 1 to 6, characterized in that: Also includes: The full logging data is obtained according to the original data collected by the logging equipment for the well.

8. A well logging data processing device, characterized in that: include: A determination module, used to determine the positioning information of each casing in the well; A division module, used to divide the full logging data of the well into multiple data segments according to the casing connection position calibrated by the positioning information; The processing module is used to generate a curve representation corresponding to each data segment, and to splice the curve representations to obtain a full-volume curve diagram corresponding to the full-volume logging data.

9. An electronic device, characterized in that: include: Memory for storing computer programs; A processor, configured to execute the computer program to implement the method according to any one of claims 1 to 7.

10. A readable storage medium, characterized in that: Used to store a computer program, wherein when the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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