Object source migration direction identification method, system and device, medium and product

Abstract

The invention discloses an object source migration direction identification method, system and device, a medium and a product, and relates to the field of oil exploration, and the method comprises the steps: obtaining a natural gamma curve, a natural potential curve, an acoustic logging curve and an induction logging curve of a target interval of a research area; determining a sandstone layer and a non-sandstone layer of the target interval of the research area according to the natural gamma curve and the natural potential curve; according to the acoustic logging curve and the induction logging curve, the sandstone layer of the target interval of the research area is divided into high-quality sandstone and low-quality sandstone; drawing a high-quality sandstone contour map and a high-quality sand-to-ground ratio contour map according to the natural gamma curve, the natural potential curve, the acoustic logging curve and the induction logging curve; and according to the high-quality sandstone contour map and the high-quality sand-ground ratio contour map, determining the material source migration direction of the target interval of the research area. According to the method and the device, the object source migration direction is identified directly through the logging curve without being influenced by external factors, so that the identification efficiency and precision of the object source migration direction are improved.

Description

Technical Field

[0001] The present application relates to the field of petroleum exploration, and in particular to a method, system, equipment, medium and product for identifying the direction of material migration. Background Art

[0002] Provenance analysis is an important component of source-sink system analysis. It mainly analyzes the source area composition and sediment transportation path, which is indicative of the filling history of sedimentary basins and the restoration of the tectonic background of the source area. The current methods for determining the direction of provenance migration mainly include geochemical methods, isotope methods, mineralogical methods, sedimentological methods and geophysical methods. Although these methods can identify the main sources of basins, they all have certain shortcomings and limitations. For example, geochemical methods are affected by multiple factors such as weathering and transportation process; isotope methods have high requirements for experimental conditions and are relatively expensive; mineralogical methods are affected by later geological actions such as weathering and transportation, which may lead to blurring or loss of provenance information. These limitations will lead to the inability to accurately identify the migration direction of provenance. Summary of the invention

[0003] The purpose of this application is to provide a method, system, device, medium and product for identifying the direction of material migration, which can improve the efficiency and accuracy of identifying the direction of material migration.

[0004] To achieve the above objectives, this application provides the following solutions:

[0005] In a first aspect, the present application provides a method for identifying the direction of material migration, comprising:

[0006] Obtain the natural gamma curve, natural potential curve, sonic logging curve and induction logging curve of the target layer in the study area;

[0007] Determine the sandstone layer and non-sandstone layer of the target layer section in the study area according to the natural gamma curve and the natural potential curve;

[0008] According to the sonic logging curve and the induction logging curve, the sandstone layer of the target layer section in the study area is divided into high-quality sandstone and low-quality sandstone;

[0009] Draw a high-quality sandstone contour map and a high-quality sand-to-ground ratio contour map according to the natural gamma curve, the natural potential curve, the sonic logging curve and the induction logging curve;

[0010] According to the high-quality sandstone contour map and the high-quality sand-to-ground ratio contour map, the provenance migration direction of the target layer section in the study area is determined.

[0011] In a second aspect, the present application provides a system for identifying the direction of material migration, including:

[0012] The data acquisition module is used to obtain the natural gamma curve, natural potential curve, sonic logging curve and induction logging curve of the target layer in the study area;

[0013] A first classification module is used to determine the sandstone layer and the non-sandstone layer of the target layer section in the study area according to the natural gamma curve and the natural potential curve;

[0014] The second classification module is used to classify the sandstone layer of the target layer section in the study area into high-quality sandstone and low-quality sandstone according to the acoustic logging curve and the induction logging curve;

[0015] A curve drawing module, used for drawing a high-quality sandstone contour map and a high-quality sand-to-ground ratio contour map according to the natural gamma curve, the natural potential curve, the sonic logging curve and the induction logging curve;

[0016] The material source analysis module is used to determine the material source migration direction of the target layer section in the study area based on the high-quality sandstone contour map and the high-quality sand-to-ground ratio contour map.

[0017] In a third aspect, the present application provides a computer device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-mentioned method for identifying the direction of provenance migration.

[0018] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned method for identifying the direction of provenance migration.

[0019] In a fifth aspect, the present application provides a computer program product, including a computer program, which implements the above-mentioned method for identifying the direction of provenance migration when executed by a processor.

[0020] According to the specific embodiments provided in this application, this application has the following technical effects:

[0021] The present application provides a method, system, equipment, medium and product for identifying the direction of material migration. The method divides sandstone layers, non-sandstone layers, high-quality sandstone and sandstone by natural gamma curves, natural potential curves, acoustic logging curves and induction logging curves of the target layer in the study area, and further draws high-quality sandstone contour maps and high-quality sand-to-ground ratio contour maps. The direction of material migration can be identified directly through the logging curves without being affected by external factors, thereby improving the efficiency and accuracy of identifying the direction of material migration. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] 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 will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0023] Figure 1 This is an application environment diagram of a method for identifying the direction of material migration in one embodiment of the present application;

[0024] Figure 2 A schematic diagram of a flow chart of a method for identifying the direction of material migration provided in an embodiment of the present application;

[0025] Figure 3 This is a schematic diagram of the sand body classification results of Well A9 in one embodiment of the present application;

[0026] Figure 4 This is a contour map of a section of high-quality sandstone drawn in an embodiment of the present application;

[0027] Figure 5 This is a contour map of another section of high-quality sandstone drawn in an embodiment of the present application;

[0028] Figure 6 A schematic diagram of functional modules of a system for identifying the direction of material migration provided by an embodiment of the present application;

[0029] Figure 7 A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0030] 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.

[0031] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0032] The method for identifying the direction of material migration provided by the embodiment of the present application can be applied to Figure 1In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be set up separately, integrated on the server 104, or placed on the cloud or other servers. The terminal 102 can send the natural gamma curve, natural potential curve, acoustic logging curve and induction logging curve of the target layer segment in the study area to the server 104. The server 10 determines the sandstone layer, non-sandstone layer, high-quality sandstone and low-quality sandstone according to the natural gamma curve, natural potential curve, acoustic logging curve and induction logging curve of the target layer segment in the study area, and draws the high-quality sandstone contour map and the high-quality sand-to-ground ratio contour map. The server 104 can feedback the high-quality sandstone contour map and the high-quality sand-to-ground ratio contour map to the terminal 102. In addition, in some embodiments, the source migration direction identification method can also be implemented by the server 104 or the terminal 102 alone.

[0033] The terminal 102 may be, but is not limited to, various desktop computers, laptop computers, smart phones, tablet computers, IoT devices, and portable wearable devices. The IoT devices may be smart speakers, smart TVs, smart air conditioners, smart vehicle-mounted devices, etc. The portable wearable devices may be smart watches, smart bracelets, head-mounted devices, etc. The server 104 may be implemented as an independent server or a server cluster consisting of multiple servers, or may be a cloud server.

[0034] In an exemplary embodiment, before identifying the direction of provenance migration, it is necessary to first establish an isochronous stratigraphic framework of the target layer section in the study area. The accurate analysis of the main provenance migration direction in the study area of ​​this application can clarify the distribution of favorable reservoirs, optimize the well location deployment, and is crucial to reducing exploration uncertainty and improving the success rate of oil layer drilling. Therefore, the high precision and detailed comparison of the strata constitute the basic framework of the study. If the strata are divided too broadly in the vertical direction, the goal of accurate identification will not be achieved. If the stratigraphic division lacks sufficient accuracy, a single stratigraphic unit may include several or even dozens of sand bodies. The high-quality sandstone contour map and high-quality sand-to-ground ratio contour map drawn thereby are actually the embodiment of the superposition effect of multiple high-quality sand bodies. In the case of good inheritance of the provenance in the study area, the superposition of multiple layers of high-quality sandstone will intensify the thickness response in the direction of provenance migration and the direction of sand body extension, thereby making the accurate determination of the direction of provenance migration and the direction of sand body extension more intuitive and clear. Therefore, on the vertical scale, relying on the stable mudstone layer in the entire study area, striving to maximize the precision of stratigraphic division is the key to this application. If the sandstone is not carefully distinguished, it is difficult to accurately trace the source based on the sandstone thickness and sand-to-ground ratio contour map. Therefore, it is necessary to further classify and identify the sandstone in the target layer.

[0035] In an exemplary embodiment, Figure 2As shown, a method for identifying the direction of material source migration is provided. The method is executed by a computer device, and can be executed by a computer device such as a terminal or a server alone, or can be executed by a terminal and a server together. In the embodiment of the present application, the method is applied to Figure 1 The server 104 in the example is used for explanation, and the steps include the following steps 201 to 205.

[0036] Step 201, obtaining the natural gamma curve, natural potential curve, sonic logging curve and induction logging curve of the target layer segment in the study area.

[0037] Sandstone usually shows low anomalies or relatively low values ​​on the natural gamma ray (GR) curve because the content of radioactive elements in sandstone is relatively low.

[0038] The spontaneous potential (SP) curve of mudstone usually forms a vertical line or a slightly inclined straight line, which is called the mudstone baseline, while the spontaneous potential curve of the sandstone layer will shift relative to the mudstone baseline. This shift can be to the left (negative anomaly) or to the right (positive anomaly).

[0039] Sandstone layers usually have high porosity and good permeability, and the propagation speed of sound waves in them is relatively slow. Therefore, the acoustic logging (AC) curve will show a higher time difference value in the sandstone layer.

[0040] The conductivity (COND) curve reflects the conductivity characteristics of the formation. The conductivity is inversely proportional to the resistivity of the formation. Sandstone layers usually have higher resistivity, so the COND curve will show lower conductivity values ​​in the sandstone layer.

[0041] Specifically, the logging method is used to obtain the curve of the formation physical parameters of the target layer section in the study area changing with the well depth, and the natural gamma curve, natural potential curve, acoustic logging curve and induction logging curve are obtained. During the drilling process, the logging instrument is lowered into the well, and data is collected according to the predetermined measurement procedures and parameters. The logging instrument records the changes in various physical parameters in the formation and generates corresponding logging curves. The logging curve is usually displayed in a graphical way, which can intuitively reflect the physical characteristics and changes of the formation.

[0042] Most oil and gas fields are in the middle and late stages of development, with small well spacing and dense well networks. Therefore, there is more well information available. This application identifies the direction of provenance migration based on well logging curves. The denser the well network, the more accurate and reliable the results.

[0043] Step 202: Determine the sandstone layer and non-sandstone layer of the target layer section in the study area according to the natural gamma curve and the natural potential curve.

[0044] The strata whose natural gamma curve value in the target layer section of the study area is less than the preset gamma value and whose natural potential curve is offset relative to the mudstone baseline are judged to be sandstone layers.

[0045] The strata with natural gamma curve values ​​greater than or equal to the preset gamma value in the target layer section of the study area and mudstone baselines in the natural potential curve are judged as non-sandstone layers.

[0046] The core data (such as particle size, structural characteristics, color, etc.) are further combined with the auxiliary natural gamma curve and natural potential curve to observe whether the target layer in the study area is a sandstone layer.

[0047] Step 203: Classify the sandstone layer in the target layer section of the study area into high-quality sandstone and low-quality sandstone according to the sonic logging curve and the induction logging curve.

[0048] The formation whose acoustic logging curve value in the sandstone layer is greater than the preset acoustic value and whose induction logging curve is less than the preset induction value is determined to be high-quality sandstone.

[0049] The formation whose acoustic logging curve value in the sandstone layer is less than or equal to the preset acoustic value and whose induction logging curve is greater than or equal to the preset induction value is determined to be poor quality sandstone.

[0050] The core data are further combined with the assisted acoustic logging curves and induction logging curves to observe the high-quality sandstone and low-quality sandstone in the target layer of the study area.

[0051] The high-quality sandstone defined in this application is mainly sandstone with relatively high AC value and relatively low COND value. For practical needs, the boundary between high-quality sandstone and low-quality sandstone in AC and COND curves can be further lowered, so as to more intuitively and accurately depict the source and extension direction of the sand body.

[0052] For example, Figure 3 As shown in the figure, by observing the core of a certain formation A9 well, the sandstone layer, non-sandstone layer, high-quality sandstone and low-quality sandstone in A9 well were determined. It is worth noting that before the well logging curve is standardized or the standardized result is not good, the boundaries of sandstone layer, non-sandstone layer, high-quality sandstone and low-quality sandstone are variable in the whole study area and need to be adjusted according to the actual situation.

[0053] This application uses GR curve and SP curve to distinguish the sandstone layer and non-sandstone layer in the target layer section of the study area. If it is a sandstone layer, AC curve and COND curve are further used to divide the sandstone into high-quality sandstone and low-quality sandstone, which can more accurately characterize the provenance migration direction and sand body extension direction represented by high-quality sandstone.

[0054] Step 204, drawing a high-quality sandstone contour map and a high-quality sand-to-ground ratio contour map based on the natural gamma curve, the natural potential curve, the sonic logging curve, and the induction logging curve.

[0055] In an exemplary embodiment, the vertical thickness of high-quality sandstone is first calculated according to the natural gamma curve, the natural potential curve, the sonic logging curve, and the induction logging curve. Then, a high-quality sandstone contour map and a high-quality sand-to-ground ratio contour map are drawn according to the vertical thickness of the high-quality sandstone.

[0056] Among them, the process of calculating the vertical thickness of high-quality sandstone according to the GR curve is:

[0057] (1) Obtain the original data of the GR curve, including the depth value and the corresponding GR value.

[0058] (2) Observe the shape of the GR curve and determine the upper and lower boundaries of the sandstone layer, usually at the locations where the GR value significantly decreases and increases on the GR curve.

[0059] (3) Measure the depth values ​​corresponding to the upper and lower boundaries of the sandstone layer, and calculate the difference between the two depth values ​​to obtain the vertical thickness of the sandstone layer. That is, vertical thickness = depth of the upper boundary of the sandstone layer - depth of the lower boundary of the sandstone layer.

[0060] The process of calculating the vertical thickness of high-quality sandstone based on the other three curves is the same as that of the GR curve and will not be repeated here.

[0061] If the stratigraphic division reaches the range of a single layer or each small layer contains at most two sets of sand bodies, there is no need to calculate the thickness of high-quality sandstone, nor to draw high-quality sand-to-ground ratio contour maps. The high-quality sandstone contour maps can be used directly to accurately determine the source and sandstone distribution.

[0062] Step 205, determining the provenance migration direction of the target layer section in the study area according to the high-quality sandstone contour map and the high-quality sand-to-ground ratio contour map.

[0063] By using high-quality sandstone thickness contour maps and high-quality sand-to-ground ratio contour maps to analyze the provenance and migration direction of sand bodies, we can accurately pinpoint the provenance migration direction of each small layer or single layer and the extension direction of sandstone.

[0064] In a specific example, the study area is a shallow water delta. For shallow water delta, the distributary channel sand and estuary bar sand, which represent the direction of material migration and the extension direction of sand bodies, generally have a low mud content, and the sandstone is relatively pure, that is, it belongs to high-quality sandstone, which can reflect the direction of material migration and the extension direction of sand bodies; while the relatively deep water sheet sand and gravity flow sand bodies generally have a high mud content, that is, they belong to low-quality sandstone, which cannot reflect the direction of material migration.

[0065] For the continental lake basin under the background of shallow delta deposition, the provenance is mainly controlled by the distributary channel. Through the contour map of high-quality sandstone thickness and high-quality sand-to-ground ratio, it can be clearly seen that the high-value high-quality sandstone thickness is strip-shaped and advances toward the center of the lake basin, and the low-value area of ​​high-quality sandstone is generally distributed around the strip-shaped sand body. By comprehensively analyzing the contour map of high-quality sandstone of each small layer or single layer, it can be intuitively displayed on the plane that the swing of the direction of provenance migration over time and the characteristics of intermittent source supply in some provenance areas can provide a basis for qualitatively judging the relative height of the ancient uplift.

[0066] like Figure 4 and Figure 5 As shown, the migration direction of each single-layer source and the dominant migration direction of the sand body can be intuitively and accurately identified, and the evolution of each single-layer source on the plane over time can also be shown. Figure 4 and Figure 5 The arrows indicate the direction of provenance migration and the direction of migration of the dominant sand body. The lines are the contour lines of sand body thickness, and the red triangles indicate the well locations. The contour map of high-quality sandstone shows that the provenance as a whole is advancing toward the sedimentary center in a strip-like or fan-like manner. The main reason for the full-basin sand content in the study area is that the direction of provenance migration swings with the frequent changes in the lake level. Fine stratigraphic comparison and distinguishing high-quality sandstone from low-quality sandstone based on logging GR, SP, AC, and COND are the simplest and most accurate methods for accurately locating and identifying this type of terrestrial lake basin with a sedimentary background. With the change of the logging value of the boundary between high-quality sandstone and low-quality sandstone, the results will be more intuitive, and can be further determined according to the situation in the study area in actual application.

[0067] This application directly uses the four curves of the target layer section in the study area to identify the migration direction. Compared with the relevant technologies, the advantages are as follows:

[0068] (1) Low cost and easy operation: This application adopts conventional logging methods, which are relatively low cost, easy to operate, and easy to promote and apply on a large scale. Geochemical methods require the collection and analysis of a large number of samples, which is costly and may be affected by factors such as sample contamination and analysis errors; isotope methods require the use of radioactive isotopes, which are expensive to handle, store and dispose of, and require special safety measures; mineralogical methods require detailed mineralogical analysis of samples, including microscopic observation, X-ray diffraction, etc., which require professional equipment and personnel and are relatively expensive.

[0069] (2) High efficiency: Well logging curves can be continuously measured by logging instruments to obtain a large amount of data, and the data processing speed is fast, which can quickly provide information on the direction of material migration. However, the sample collection, processing and analysis of geochemical methods require a long time, and the data processing is complex and inefficient; the isotope tracing experiment in the isotope method requires a long time to wait for the decay and measurement of the isotope, and the efficiency is relatively low; mineralogical analysis requires sophisticated sample preparation and a complex analysis process, which is time-consuming.

[0070] (3) Continuity: Well logging curves can continuously record stratum information, including rock physical parameters and geophysical properties, so that the migration direction of the material source can be continuously tracked. However, due to the discreteness of sample collection, geochemical methods may not be able to continuously track the migration direction of the material source; isotope tracing experiments can usually only provide information within a limited time, making it difficult to continuously track the migration of the material source; and mineralogical analysis can usually only be performed on specific samples and cannot provide continuous stratigraphic information.

[0071] (4) Intuitiveness: Well logging curves are usually displayed in a graphical form, which can intuitively reflect the physical characteristics of the formation and the direction of material migration. Geochemical data are usually displayed in the form of tables or charts, which require professional interpretation and analysis; isotope data usually also require professional interpretation and analysis, and may be interfered by various factors; the results of mineralogical analysis are usually displayed in the form of microscope photos, X-ray diffraction patterns, etc., which require professional identification and interpretation.

[0072] In summary, this application can quickly and accurately identify the direction of material migration in the study area, which helps oil and gas explorers to accurately locate potential oil and gas reservoirs. At the same time, after understanding the direction of material migration, they can optimize the mining strategy, such as adjusting the well layout, optimizing the mining sequence, etc., thereby improving mining efficiency.

[0073] Based on the same inventive concept, the embodiment of the present application also provides a material source migration direction identification system for implementing the material source migration direction identification method involved above. The implementation scheme for solving the problem provided by the system is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more material source migration direction identification system embodiments provided below can refer to the limitations of the material source migration direction identification method above, and will not be repeated here.

[0074] In an exemplary embodiment, Figure 6 As shown, a system for identifying the direction of material source migration is provided, including: a data acquisition module 601, a first classification module 602, a second classification module 603, a curve drawing module 604 and a material source analysis module 605.

[0075] The data acquisition module 601 is used to acquire the natural gamma curve, natural potential curve, sonic logging curve and induction logging curve of the target layer segment in the study area.

[0076] The first classification module 602 is used to determine the sandstone layer and the non-sandstone layer of the target layer section in the study area according to the natural gamma curve and the natural potential curve.

[0077] The second classification module 603 is used to classify the sandstone layer of the target layer section in the study area into high-quality sandstone and low-quality sandstone according to the sonic logging curve and the induction logging curve.

[0078] The curve drawing module 604 is used to draw a high-quality sandstone contour map and a high-quality sand-to-ground ratio contour map according to the natural gamma curve, the natural potential curve, the sonic logging curve and the induction logging curve.

[0079] The provenance analysis module 605 is used to determine the provenance migration direction of the target layer section in the study area based on the high-quality sandstone contour map and the high-quality sand-to-ground ratio contour map.

[0080] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Figure 7 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store the natural gamma curve, natural potential curve, acoustic logging curve and induction logging curve of the target layer section of the study area. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for identifying the direction of material migration is implemented.

[0081] Those skilled in the art will understand that Figure 7 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0082] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0083] In an exemplary embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0084] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0085] In this application, all actions to obtain signals, information or data are carried out in compliance with the relevant data protection laws and policies of the country where they are located and with the authorization given by the owner of the corresponding device.

[0086] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0087] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[0088] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0089] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this 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 limiting this application.

Claims

1. A method for identifying the direction of material migration, characterized in that: The method for identifying the direction of material migration includes: Obtain the natural gamma curve, natural potential curve, sonic logging curve and induction logging curve of the target layer in the study area; Determine the sandstone layer and non-sandstone layer of the target layer section in the study area according to the natural gamma curve and the natural potential curve; According to the sonic logging curve and the induction logging curve, the sandstone layer of the target layer section in the study area is divided into high-quality sandstone and low-quality sandstone; Draw a high-quality sandstone contour map and a high-quality sand-to-ground ratio contour map according to the natural gamma curve, the natural potential curve, the sonic logging curve and the induction logging curve; According to the high-quality sandstone contour map and the high-quality sand-to-ground ratio contour map, the provenance migration direction of the target layer section in the study area is determined.

2. The method for identifying the direction of material migration according to claim 1, characterized in that: Obtain the natural gamma curve, natural potential curve, sonic logging curve and induction logging curve of the target layer in the study area, including: The well logging method is used to obtain the curves of the physical parameters of the target layer in the study area changing with the well depth, and the natural gamma curve, natural potential curve, sonic logging curve and induction logging curve are obtained.

3. The method for identifying the direction of material migration according to claim 1, characterized in that: According to the natural gamma curve and the natural potential curve, the sandstone layer and the non-sandstone layer of the target layer section in the study area are determined, specifically including: The natural gamma curve value in the target layer section of the study area is less than the preset gamma value, and the strata with an offset relative to the mudstone baseline in the natural potential curve are judged as sandstone layers; The strata with natural gamma curve values ​​greater than or equal to the preset gamma value in the target layer section of the study area and mudstone baselines in the natural potential curve are judged as non-sandstone layers.

4. The method for identifying the direction of material migration according to claim 1, characterized in that: According to the acoustic logging curve and the induction logging curve, the sandstone layer of the target layer section in the study area is divided into high-quality sandstone and low-quality sandstone, specifically including: The formation whose acoustic logging curve value in the sandstone layer is greater than the preset acoustic value and whose induction logging curve is less than the preset induction value is determined as high-quality sandstone; The formation whose acoustic logging curve value in the sandstone layer is less than or equal to the preset acoustic value and whose induction logging curve is greater than or equal to the preset induction value is determined to be poor quality sandstone.

5. The method for identifying the direction of material migration according to claim 1, characterized in that: According to the natural gamma curve, the natural potential curve, the sonic logging curve and the induction logging curve, a high-quality sandstone contour map and a high-quality sand-to-ground ratio contour map are drawn, which specifically includes: Calculating the vertical thickness of high-quality sandstone according to the natural gamma curve, the natural potential curve, the sonic logging curve and the induction logging curve; A high-quality sandstone contour map and a high-quality sand-to-ground ratio contour map are drawn according to the vertical thickness of the high-quality sandstone.

6. The method for identifying the direction of material migration according to claim 1, characterized in that: The study area is a shallow water delta.

7. A system for identifying the direction of material migration, applied to the method for identifying the direction of material migration according to any one of claims 1 to 6, characterized in that: The source migration direction identification system comprises: The data acquisition module is used to obtain the natural gamma curve, natural potential curve, sonic logging curve and induction logging curve of the target layer in the study area; A first classification module is used to determine the sandstone layer and the non-sandstone layer of the target layer section in the study area according to the natural gamma curve and the natural potential curve; The second classification module is used to classify the sandstone layer of the target layer section in the study area into high-quality sandstone and low-quality sandstone according to the acoustic logging curve and the induction logging curve; A curve drawing module, used for drawing a high-quality sandstone contour map and a high-quality sand-to-ground ratio contour map according to the natural gamma curve, the natural potential curve, the sonic logging curve and the induction logging curve; The material source analysis module is used to determine the material source migration direction of the target layer section in the study area based on the high-quality sandstone contour map and the high-quality sand-to-ground ratio contour map.

8. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method for identifying the direction of source migration according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for identifying the direction of material migration described in any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for identifying the direction of material migration described in any one of claims 1 to 6 is implemented.

Images