Quantitative identification method and device for lacustrine tight oil beach-bar microfacies

Abstract

The embodiment of the present application provides a method and device for quantitatively identifying lacustrine tight oil beach-bar microfacies, the method comprising: determining the sedimentary microfacies type of the coring section according to the sedimentary structural characteristics of the core of the coring section; plotting the gamma logging data and nuclear magnetic resonance logging data of different sedimentary microfacies types of the coring section in a preset rectangular coordinate system, and obtaining a quantitative identification plate of the beach-bar sand body according to the gamma-nuclear magnetic resonance correlation analysis results of the beach-bar sand body; quantitatively identifying the uncored and drilled target layer section of the target work area according to the quantitative identification plate of the beach-bar sand body, and determining the beach-bar type of the uncored and drilled target layer section of the target work area; the present application can accurately identify and divide the single-well beach-bar sedimentary microfacies.

Description

Technical Field

[0001] The present application relates to the field of geological exploration, and in particular to a method and device for quantitatively identifying lacustrine tight oil shoal microfacies. Background Art

[0002] Shallow lake beach and bar sand bodies are a very important type of sedimentary facies and oil and gas reservoir bodies developed in the lake coastal zone, and are the general term for beaches and bars (Jiang Zaixing, Wang Junhui, Zhang Yuanfu, Review of the research progress of beach-bar sedimentation, Journal of Paleogeography, 2015, 17(4): 427-440). Beach-bar reservoirs have become a hot topic in the study of deep-water fine-grained sedimentation of continental tight oil in recent years due to their proximity to oil sources, perfect configuration of source-reservoir-caprock combinations, and geological conditions conducive to oil and gas enrichment (Yang Yongqiang, Qiu Longwei, Jiang Zaixing, et al. Sedimentation model of beach-bar in continental faulted lake basins - taking the upper fourth sub-member of the Paleogene Shahejie Formation in Dongying Sag as an example, Acta Petrolei Sinica, 2011, 32(3): 417-423). Through the continuous practice of exploration and development of beach-bar oil and gas reservoirs in recent years and the research and development of beach-bar deposition mechanism, it is believed that the genetic mechanism and depositional characteristics of beach-bar sand bodies are very different. The planar distribution morphology and internal physical property differences between the two are the main controlling factors for the plane and intra-layer heterogeneity of tight oil sweet spots. However, how to quantitatively characterize beach-bar sand bodies using geological information at different scales such as cores and well logging has not yet formed a complete technical system.

[0003] The inventors found that in order to solve the above problems, the existing technology mainly uses core calibration logging, that is, according to the logging curve shape corresponding to the coring section, the logging phase map is established, relying on the geological model and the experience of researchers to qualitatively complete the identification and division of the single well beach-bar sedimentary microfacies. The problem with this research method is that it only relies on the logging curve shape after core calibration to divide the single well sedimentary microfacies, without quantitatively analyzing the logging response data of the coring section. The operation method is too subjective and lacks quantitative constraint standards, making it difficult to form a relatively standardized and quantitative technical operation process. Summary of the invention

[0004] In view of the problems in the prior art, the present application provides a method and device for quantitatively identifying lacustrine tight oil beach-bar microfacies, which can accurately identify and divide the microfacies of single-well beach-bar sedimentation.

[0005] In order to solve at least one of the above problems, the present application provides the following technical solutions:

[0006] In a first aspect, the present application provides a method for quantitatively identifying lacustrine tight oil beach-bar microfacies, comprising:

[0007] Determining the sedimentary microfacies type of the coring section according to the core sedimentary structural characteristics of the coring section;

[0008] The gamma logging data and nuclear magnetic resonance logging data of different sedimentary microfacies types of the coring well section are plotted in a preset rectangular coordinate system, and a quantitative identification chart of the beach and bar sand bodies is obtained according to the gamma-nuclear magnetic resonance correlation analysis results of the beach and bar sand bodies;

[0009] According to the quantitative identification chart of the beach and bar sand bodies, the target layer section of the target work area that has not been cored and drilled is quantitatively identified to determine the beach and bar type of the target layer section of the target work area that has not been cored and drilled.

[0010] Furthermore, the determining of the sedimentary microfacies type of the coring section according to the core sedimentary structural characteristics of the coring section includes:

[0011] Depth regression of core phasing data based on well logging data;

[0012] Sedimentary microfacies identification is performed based on nuclear magnetic logging data and gamma logging data that are consistent with the depth of the core phasing data to determine the sedimentary microfacies type of the coring section.

[0013] Furthermore, the gamma logging data and nuclear magnetic logging data of the coring section are plotted in a preset rectangular coordinate system, and a quantitative identification chart of the beach and bar sand bodies is obtained according to the gamma-nuclear magnetic correlation analysis results of the beach and bar sand bodies, including:

[0014] According to the data distribution after the measured response characteristic value of logging was projected, the positive and negative correlations between the gamma logging and nuclear magnetic logging data were analyzed. Among them, the wells with positive correlation developed bar sedimentary microfacies, and the wells with negative correlation developed shoal sedimentary microfacies.

[0015] Plotting the gamma logging data and nuclear magnetic logging data of the coring section in a preset rectangular coordinate system, wherein the abscissa of the preset rectangular coordinate system is the gamma logging data, and the ordinate is the nuclear magnetic logging data;

[0016] According to the distribution interval of the gamma logging data and the nuclear magnetic logging data of the coring well section in the preset rectangular coordinate system and the positive and negative correlation between the gamma logging and nuclear magnetic logging data, a quantitative identification chart of the beach and bar sand bodies is obtained.

[0017] Furthermore, the quantitative identification of the uncored and undrilled target layer section in the target work area according to the quantitative identification plate of the beach and bar sand body to determine the beach and bar type of the uncored and undrilled target layer section in the target work area includes:

[0018] The gamma logging data and nuclear magnetic logging data of the target layer section that has not been fully drilled and cored in the target work area are projected onto the quantitative identification chart of the beach and bar sand bodies to determine the beach and bar type of the corresponding target layer section that has not been fully drilled and cored in the target work area.

[0019] In a second aspect, the present application provides a device for quantitatively identifying microfacies of lacustrine tight oil beach-bars, comprising:

[0020] A coring well section sedimentary microfacies type determination module is used to determine the sedimentary microfacies type of the coring well section according to the sedimentary structural characteristics of the core of the coring well section;

[0021] A module for determining a quantitative identification chart of beach-bar sand bodies is used to plot the gamma logging data and nuclear magnetic logging data of different sedimentary microfacies types of the coring well section in a preset rectangular coordinate system, and obtain a quantitative identification chart of the beach-bar sand bodies according to the gamma-nuclear magnetic correlation analysis results of the beach-bar sand bodies;

[0022] The target layer section quantitative identification module is used to quantitatively identify the target layer section of the target work area that has not been cored and drilled according to the quantitative identification chart of the beach and bar sand body, and determine the beach and bar type of the target layer section of the target work area that has not been cored and drilled.

[0023] Furthermore, the module for determining the sedimentary microfacies type of the coring well section includes:

[0024] A depth homing unit is used to perform depth homing of core phase data based on well logging data;

[0025] The sedimentary microfacies type determination unit is used to identify sedimentary microfacies according to nuclear magnetic logging data and gamma logging data that are consistent with the depth of the core phasing data, and determine the sedimentary microfacies type of the coring section.

[0026] Furthermore, the module for determining the quantitative identification chart of beach-bar sand bodies includes:

[0027] The correlation analysis unit is used to analyze the positive and negative correlation between the gamma logging and nuclear magnetic logging data according to the data distribution after the logging measured response characteristic value is projected. Among them, the wells encountered with positive correlation develop bar sedimentary microfacies, and the wells encountered with negative correlation develop shoal sedimentary microfacies;

[0028] A coordinate system projection unit, used for plotting the gamma logging data and nuclear magnetic logging data of the coring section in a preset rectangular coordinate system, wherein the abscissa of the preset rectangular coordinate system is the gamma logging data, and the ordinate is the nuclear magnetic logging data;

[0029] The quantitative identification plate determination unit is used to obtain the quantitative identification plate of the beach and bar sand bodies according to the distribution interval of the gamma logging data and the nuclear magnetic logging data of the coring well section in the preset rectangular coordinate system and the positive and negative correlation relationship between the gamma logging data and the nuclear magnetic logging data.

[0030] Furthermore, the target layer segment quantitative identification module includes:

[0031] The beach-bar type determination unit is used to project the gamma logging data and nuclear magnetic logging data of the target layer section that has not been cored and drilled in the target work area onto the quantitative identification chart of the beach and bar sand body to determine the beach-bar type of the corresponding target layer section that has not been cored and drilled in the target work area.

[0032] In a third aspect, the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of the method for quantitatively identifying lacustrine tight oil beach-bar microfacies are implemented.

[0033] 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 steps of the method for quantitatively identifying lacustrine tight oil beach-bar microfacies.

[0034] It can be seen from the above technical scheme that the present application provides a method and device for quantitatively identifying lacustrine tight oil beach-bar microfacies, wherein the sedimentary microfacies type of the coring section is determined by the sedimentary structural characteristics of the core of the coring section; the gamma logging data and nuclear magnetic resonance logging data of different sedimentary microfacies types of the coring section are plotted in a preset rectangular coordinate system, and a quantitative identification plate of the beach-bar sand body is obtained according to the gamma-nuclear magnetic resonance correlation analysis results of the beach-bar sand body; according to the quantitative identification plate of the beach-bar sand body, the target layer section of the target work area that has not been cored and drilled is quantitatively identified, and the beach-bar type of the target layer section of the target work area that has not been cored and drilled is determined, thereby accurately identifying and dividing the sedimentary microfacies of the beach-bar in a single well. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] 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 some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0036] Figure 1 This is one of the flow diagrams of the method for quantitatively identifying lacustrine tight oil beach-bar microfacies in the embodiment of the present application;

[0037] Figure 2 The second flow chart of the method for quantitatively identifying lacustrine tight oil beach-bar microfacies in the embodiment of the present application;

[0038] Figure 3 The third flow chart of the method for quantitatively identifying lacustrine tight oil beach-bar microfacies in the embodiment of the present application;

[0039] Figure 4This is one of the structural diagrams of the device for quantitatively identifying microfacies of lacustrine tight oil beach-bar in the embodiment of the present application;

[0040] Figure 5 This is the second structural diagram of the device for quantitatively identifying microfacies of lacustrine tight oil beach-bar in the embodiment of the present application;

[0041] Figure 6 This is the third structural diagram of the device for quantitatively identifying microfacies of lacustrine tight oil beach-bar in the embodiment of the present application;

[0042] Figure 7 This is the fourth structural diagram of the device for quantitatively identifying microfacies of lacustrine tight oil beach-bar in the embodiment of the present application;

[0043] Figure 8 A schematic diagram of a preset rectangular coordinate system in a specific embodiment of the present application;

[0044] Fig. 9 It is a schematic diagram of the structure of an electronic device in an embodiment of the present application. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are 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.

[0046] Considering that the existing technology mainly uses core calibration logging, that is, establishing a logging phase map based on the logging curve shape corresponding to the coring section, relying on geological models and the experience of researchers, the identification and division of single well beach-bar sedimentary microfacies are qualitatively completed. The problem with this research method is that it only relies on the logging curve morphology after core calibration to divide the single well sedimentary microfacies, without making a quantitative analysis of the logging response data of the coring section. The operation method is too subjective and lacks quantitative constraint standards, making it difficult to form a relatively standardized and quantitative technical operation process. The present application provides a method and device for quantitatively identifying lacustrine tight oil beach-bar microfacies, which determines the sedimentary microfacies type of the coring section by the sedimentary structural characteristics of the core of the coring section; plots the gamma logging data and nuclear magnetic logging data of different sedimentary microfacies types of the coring section in a preset rectangular coordinate system, and obtains a quantitative identification plate of the beach-bar sand body according to the gamma-nuclear magnetic correlation analysis results of the beach-bar sand body; quantitatively identifies the target layer section of the target work area that has not been cored and drilled according to the quantitative identification plate of the beach-bar sand body, and determines the beach-bar type of the target layer section of the target work area that has not been cored and drilled, thereby accurately identifying and dividing the single well beach-bar sedimentary microfacies.

[0047] In order to accurately identify and divide the microfacies of single-well beach-bar sediments, the present application provides an embodiment of a method for quantitatively identifying lacustrine tight oil beach-bar microfacies, see Figure 1 The method for quantitative identification of lacustrine tight oil beach-bar microfacies specifically includes the following contents:

[0048] Step S101: Determine the sedimentary microfacies type of the coring section according to the sedimentary structural characteristics of the core of the coring section.

[0049] Optionally, in combination with the core phasing conclusion of the coring well, the logging measured response characteristic value that is most sensitive to the beach-bar sand body is read. Specifically, the core phasing data is depth-relocated based on the logging data, and the logging measured response characteristic values ​​of different depths that are consistent with the depth of the core phasing data and representative are selected to identify the sedimentary microfacies (beach-bar sand body).

[0050] Optionally, in this step, the measured response characteristic values ​​of well logging are measured nuclear magnetic logging and natural gamma logging.

[0051] Step S102: plotting the gamma logging data and nuclear magnetic resonance logging data of different sedimentary microfacies types of the coring section in a preset rectangular coordinate system, and obtaining a quantitative identification chart of the beach and bar sand bodies based on the gamma-nuclear magnetic resonance correlation analysis results of the beach and bar sand bodies.

[0052] Optionally, the present application can analyze the data distribution of gamma logging and nuclear magnetic resonance logging after projecting points based on the measured response characteristic value data distribution, and find that there are two corresponding relationships, positive correlation and negative correlation, among which the wells encountered in the positive correlation develop dam sedimentary microfacies, and the wells encountered in the negative correlation develop shoal sedimentary microfacies.

[0053] Optionally, the preset rectangular coordinate system can use gamma logging values ​​as horizontal coordinates and nuclear magnetic logging values ​​as vertical coordinates, thereby establishing a gamma-nuclear magnetic logging cross plot, projecting the measured response characteristic values ​​of nuclear magnetic and gamma logging read in the above step S101 into the rectangular coordinate system, and obtaining a quantitative plate for dividing the beach and bar sedimentary microfacies based on the distribution interval of gamma logging and nuclear magnetic logging data and the correlation analysis between the two, see Figure 8 .

[0054] Step S103: quantitatively identify the uncored and undrilled target layer section in the target work area according to the quantitative identification chart of the beach and bar sand body, and determine the beach and bar type of the uncored and undrilled target layer section in the target work area.

[0055] Optionally, the gamma and nuclear magnetic logging data of the target layer section of the uncored wells in the study area (i.e., the target work area) are projected onto the quantitative plate for dividing the beach and bar sedimentary microfacies established in the above step 102, so that the sedimentary microfacies of the target layer section of the uncored wells can be divided into two types: beach and bar, completing the quantitative identification of the sedimentary microfacies of a single well, and laying a geological foundation for reservoir evaluation.

[0056] From the above description, it can be seen that the quantitative identification method of lacustrine tight oil beach-bar microfacies provided in the embodiment of the present application can determine the sedimentary microfacies type of the coring section through the sedimentary structural characteristics of the core of the coring section; the gamma logging data and nuclear magnetic resonance logging data of different sedimentary microfacies types of the coring section are plotted in a preset rectangular coordinate system, and based on the gamma-nuclear magnetic resonance correlation analysis results of the beach and bar sand bodies, a quantitative identification plate of the beach and bar sand bodies is obtained; according to the quantitative identification plate of the beach and bar sand bodies, the target layer section of the target work area that has not been cored and drilled is quantitatively identified, and the beach-bar type of the target layer section of the target work area that has not been cored and drilled is determined, thereby accurately identifying and dividing the single well beach-bar sedimentary microfacies.

[0057] In order to accurately determine the sedimentary microfacies type of the coring well section, in one embodiment of the method for quantitatively identifying the microfacies of lacustrine tight oil beach-bars of the present application, see Figure 2 , the above step S101 may also specifically include the following contents:

[0058] Step S201: Depth localization of core phase data based on well logging data.

[0059] Step S202: performing sedimentary microfacies identification based on the nuclear magnetic logging data and gamma logging data that are consistent with the depth of the core phasing data to determine the sedimentary microfacies type of the coring section.

[0060] Specifically, combined with the core phasing conclusion of the coring well, the logging measured response characteristic value that is most sensitive to the beach-bar sand body is read. Specifically, the core phasing data is depth-relocated based on the logging data, and the logging measured response characteristic values ​​of different depths that are consistent with the depth of the core phasing data and representative are selected to identify the sedimentary microfacies (beach-bar sand body).

[0061] In order to accurately determine the quantitative identification plate of beach and bar sand bodies, in one embodiment of the method for quantitative identification of lacustrine tight oil beach and bar microfacies of the present application, see Figure 3 , the above step S102 may also specifically include the following contents:

[0062] Step S301: Analyze the positive and negative correlations between gamma logging and nuclear magnetic logging data according to the data distribution after the logging measured response characteristic value is projected, wherein the wells encountered with positive correlation develop bar sedimentary microfacies, and the wells encountered with negative correlation develop shoal sedimentary microfacies.

[0063] Step S302: plotting the gamma logging data and nuclear magnetic logging data of the coring section in a preset rectangular coordinate system, wherein the abscissa of the preset rectangular coordinate system is the gamma logging data, and the ordinate is the nuclear magnetic logging data.

[0064] Step S303: obtaining a quantitative identification chart of beach and bar sand bodies according to the distribution interval of the gamma logging data and the nuclear magnetic logging data of the coring section in the preset rectangular coordinate system and the positive and negative correlation between the gamma logging data and the nuclear magnetic logging data.

[0065] Specifically, the preset rectangular coordinate system can use the gamma logging value as the horizontal coordinate and the nuclear magnetic logging value as the vertical coordinate, thereby establishing a gamma-nuclear magnetic logging cross plot, projecting the measured response characteristic values ​​of the nuclear magnetic and gamma logging read in the above step S101 into the rectangular coordinate system, and based on the distribution interval of the gamma logging and nuclear magnetic logging data and the correlation analysis between the two, a quantitative plate for dividing the beach and bar sedimentary microfacies is obtained, see Figure 8 .

[0066] In order to accurately determine the beach-bar type of the target layer, in one embodiment of the method for quantitatively identifying lacustrine tight oil beach-bar microfacies of the present application, the above step S103 may further specifically include the following contents:

[0067] The gamma logging data and nuclear magnetic logging data of the target layer section that has not been fully drilled and cored in the target work area are projected onto the quantitative identification chart of the beach and bar sand bodies to determine the beach and bar type of the corresponding target layer section that has not been fully drilled and cored in the target work area.

[0068] Specifically, the gamma and nuclear magnetic logging data of the target layer section of the uncored wells in the study area (i.e., the target work area) are projected onto the quantitative plate for dividing the beach and bar sedimentary microfacies established in the above step 102, so that the sedimentary microfacies of the target layer section of the uncored wells can be divided into two types: beach and bar, completing the quantitative identification of the sedimentary microfacies of a single well, and laying a geological foundation for reservoir evaluation.

[0069] In order to accurately identify and divide the microfacies of single-well beach-bar sedimentary microfacies, the present application provides an embodiment of a quantitative identification device for lacustrine tight oil beach-bar microfacies for realizing all or part of the content of the quantitative identification method for lacustrine tight oil beach-bar microfacies, see Figure 4 The lacustrine tight oil beach-bar microfacies quantitative identification device specifically includes the following contents:

[0070] The coring well section sedimentary microfacies type determination module 10 is used to determine the sedimentary microfacies type of the coring well section according to the sedimentary structural characteristics of the core of the coring well section.

[0071] The module 20 for determining the quantitative identification chart of the beach-bar sand body is used to plot the gamma logging data and nuclear magnetic logging data of different sedimentary microfacies types of the coring section in a preset rectangular coordinate system, and obtain the quantitative identification chart of the beach-bar sand body according to the gamma-nuclear magnetic correlation analysis results of the beach-bar sand body.

[0072] The target layer section quantitative identification module 30 is used to quantitatively identify the uncored and undrilled target layer section of the target work area according to the quantitative identification chart of the beach and bar sand body, and determine the beach and bar type of the uncored and undrilled target layer section of the target work area.

[0073] From the above description, it can be seen that the quantitative identification device for lacustrine tight oil beach-bar microfacies provided in the embodiment of the present application can determine the sedimentary microfacies type of the coring section through the sedimentary structural characteristics of the core of the coring section; the gamma logging data and nuclear magnetic resonance logging data of different sedimentary microfacies types of the coring section are plotted in a preset rectangular coordinate system, and based on the gamma-nuclear magnetic resonance correlation analysis results of the beach and bar sand bodies, a quantitative identification plate of the beach and bar sand bodies is obtained; according to the quantitative identification plate of the beach and bar sand bodies, the target layer section of the target work area that has not been cored and drilled is quantitatively identified, and the beach-bar type of the target layer section of the target work area that has not been cored and drilled is determined, thereby accurately identifying and dividing the single well beach-bar sedimentary microfacies.

[0074] In order to accurately determine the sedimentary microfacies type of the coring well section, in one embodiment of the quantitative identification device for lacustrine tight oil beach-bar microfacies of the present application, see Figure 5 The coring well section sedimentary microfacies type determination module 10 comprises:

[0075] The depth homing unit 11 is used to perform depth homing on the core phase data according to the logging data.

[0076] The sedimentary microfacies type determination unit 12 is used to identify sedimentary microfacies according to the nuclear magnetic logging data and gamma logging data that are consistent with the depth of the core phasing data, and determine the sedimentary microfacies type of the coring section.

[0077] In order to accurately determine the quantitative identification plate of the beach and bar sand bodies, in one embodiment of the quantitative identification device for lacustrine tight oil beach and bar microfacies of the present application, see Figure 6 The beach-bar sand body quantitative identification chart determination module 20 includes:

[0078] The correlation analysis unit 21 is used to analyze the positive and negative correlation between the gamma logging and nuclear magnetic logging data according to the data distribution after the logging measured response characteristic value is projected, wherein the wells encountered with positive correlation develop bar sedimentary microfacies, and the wells encountered with negative correlation develop shoal sedimentary microfacies.

[0079] The coordinate system projection unit 22 is used to plot the gamma logging data and nuclear magnetic logging data of the coring section in a preset rectangular coordinate system, wherein the horizontal coordinate of the preset rectangular coordinate system is the gamma logging data, and the vertical coordinate is the nuclear magnetic logging data.

[0080] The quantitative identification chart determination unit 23 is used to obtain a quantitative identification chart of the beach and bar sand bodies according to the distribution interval of the gamma logging data and the nuclear magnetic logging data of the coring well section in the preset rectangular coordinate system and the positive and negative correlation between the gamma logging data and the nuclear magnetic logging data.

[0081] In order to accurately determine the beach-bar type of the target layer, in one embodiment of the quantitative identification device for lacustrine tight oil beach-bar microfacies of the present application, see Figure 7 The target layer segment quantitative identification module 30 includes:

[0082] The beach-bar type determination unit 31 is used to project the gamma logging data and nuclear magnetic logging data of the target layer section that has not been fully drilled and cored in the target work area onto the quantitative identification chart of the beach and bar sand bodies to determine the beach-bar type of the corresponding target layer section that has not been fully drilled and cored in the target work area.

[0083] In order to further illustrate the present solution, the present application also provides a specific application example of using the above-mentioned lacustrine tight oil beach bar microfacies quantitative identification device to implement a lacustrine tight oil beach bar microfacies quantitative identification method, which specifically includes the following contents:

[0084] Step 1: Observe the sedimentary structural characteristics of the core of the coring well, determine the sedimentary microfacies type of the coring well section, and collect the nuclear magnetic movable porosity logging and gamma logging data of the coring well section, as shown in Table 1:

[0085] Table 1 Gamma-NMR logging and sedimentary microfacies statistics of the coring section

[0086]

[0087]

[0088]

[0089]

[0090] Step 2: With gamma logging values ​​as the horizontal coordinate and nuclear magnetic logging values ​​as the vertical coordinate, a gamma-nuclear magnetic logging cross plot is established. The measured response characteristic values ​​of nuclear magnetic and gamma logging read in step 1 are projected into a rectangular coordinate system. Based on the distribution interval of gamma logging and nuclear magnetic logging data and the correlation analysis between the two, a quantitative plate for dividing the sedimentary microfacies of the beach and bar is obtained. Figure 8 .

[0091] Step 3: Project the gamma and nuclear magnetic logging data of the target layer of the uncored wells in the study area onto the map established in step 2. The sedimentary microfacies of the target layer of the uncored wells can be divided into two types: beach and bar, completing the quantitative identification of the sedimentary microfacies of a single well and laying a geological foundation for reservoir evaluation.

[0092] From the above content, it can be seen that the present application can at least achieve the following technical effects:

[0093] By analyzing the correlation between the characteristic values ​​of gamma logging and nuclear magnetic logging responses corresponding to the coring section in the rectangular coordinate system, a quantitative sedimentary microfacies division chart of beach-bar sand bodies is established, laying a geological foundation for reservoir evaluation.

[0094] From the hardware level, in order to accurately identify and divide the single well beach-bar sedimentary microfacies, the present application provides an embodiment of an electronic device for implementing all or part of the contents of the method for quantitatively identifying lacustrine tight oil beach-bar microfacies, and the electronic device specifically includes the following contents:

[0095] Processor, memory, communication interface and bus; wherein the processor, memory and communication interface communicate with each other through the bus; the communication interface is used to realize information transmission between the lacustrine tight oil beach microphase quantitative identification device and the core business system, user terminal and related database and other related equipment; the logic controller can be a desktop computer, a tablet computer and a mobile terminal, etc., and the present embodiment is not limited thereto. In the present embodiment, the logic controller can be implemented with reference to the embodiment of the lacustrine tight oil beach microphase quantitative identification method and the embodiment of the lacustrine tight oil beach microphase quantitative identification device in the embodiment, and the contents thereof are incorporated herein, and the repeated parts are not repeated.

[0096] It is understandable that the user terminal may include a smart phone, a tablet electronic device, a network set-top box, a portable computer, a desktop computer, a personal digital assistant (PDA), a vehicle-mounted device, a smart wearable device, etc. Among them, the smart wearable device may include smart glasses, a smart watch, a smart bracelet, etc.

[0097] In practical applications, part of the method for quantitative identification of lacustrine tight oil beach microfacies can be performed on the electronic device side as described above, or all operations can be completed in the client device. The specific selection can be based on the processing capability of the client device and the limitations of the user's usage scenario. This application does not limit this. If all operations are completed in the client device, the client device may also include a processor.

[0098] The client device may have a communication module (i.e., a communication unit) that can communicate with a remote server to achieve data transmission with the server. The server may include a server on the task scheduling center side, and other implementation scenarios may also include a server on an intermediate platform, such as a server on a third-party server platform that has a communication link with the task scheduling center server. The server may include a single computer device, or a server cluster consisting of multiple servers, or a server structure of a distributed device.

[0099] Fig. 9 FIG. 9 is a schematic block diagram of the system structure of the electronic device 9600 according to an embodiment of the present application. Fig. 9 As shown, the electronic device 9600 may include a central processor 9100 and a memory 9140; the memory 9140 is coupled to the central processor 9100. It is worth noting that Fig. 9 is exemplary; other types of structures may also be used to supplement or replace this structure to implement telecommunication functions or other functions.

[0100] In one embodiment, the function of the quantitative identification method of lacustrine tight oil beach-bar microfacies can be integrated into the central processor 9100. The central processor 9100 can be configured to perform the following control:

[0101] Step S101: Determine the sedimentary microfacies type of the coring section according to the sedimentary structural characteristics of the core of the coring section.

[0102] Step S102: plotting the gamma logging data and nuclear magnetic resonance logging data of different sedimentary microfacies types of the coring section in a preset rectangular coordinate system, and obtaining a quantitative identification chart of the beach and bar sand bodies based on the gamma-nuclear magnetic resonance correlation analysis results of the beach and bar sand bodies.

[0103] Step S103: quantitatively identify the uncored and undrilled target layer section in the target work area according to the quantitative identification chart of the beach and bar sand body, and determine the beach and bar type of the uncored and undrilled target layer section in the target work area.

[0104] From the above description, it can be seen that the electronic device provided in the embodiment of the present application determines the sedimentary microfacies type of the coring section by the sedimentary structural characteristics of the core of the coring section; plots the gamma logging data and nuclear magnetic resonance logging data of different sedimentary microfacies types of the coring section in a preset rectangular coordinate system, and obtains a quantitative identification plate of the beach and bar sand bodies based on the gamma-nuclear magnetic resonance correlation analysis results of the beach and bar sand bodies; quantitatively identifies the target layer section of the target work area that has not been cored and drilled according to the quantitative identification plate of the beach and bar sand bodies, and determines the beach and bar type of the target layer section of the target work area that has not been cored and drilled, thereby accurately identifying and dividing the single well beach and bar sedimentary microfacies.

[0105] In another embodiment, the device for quantitative identification of lacustrine tight oil beach-bar microfacies can be configured separately from the central processor 9100. For example, the device for quantitative identification of lacustrine tight oil beach-bar microfacies can be configured as a chip connected to the central processor 9100, and the function of the method for quantitative identification of lacustrine tight oil beach-bar microfacies is realized through the control of the central processor.

[0106] like Fig. 9 As shown, the electronic device 9600 may also include: a communication module 9110, an input unit 9120, an audio processor 9130, a display 9160, and a power supply 9170. It is worth noting that the electronic device 9600 does not necessarily have to include Fig. 9 In addition, the electronic device 9600 may also include Fig. 9 For components not shown, reference may be made to the prior art.

[0107] like Fig. 9 As shown, the central processing unit 9100 is sometimes also referred to as a controller or an operation control, and may include a microprocessor or other processor device and / or logic device. The central processing unit 9100 receives input and controls the operation of various components of the electronic device 9600.

[0108] The memory 9140 may be, for example, one or more of a cache, a flash memory, a hard drive, a removable medium, a volatile memory, a non-volatile memory or other suitable devices. The above-mentioned information related to the failure may be stored, and a program for executing the relevant information may also be stored. The CPU 9100 may execute the program stored in the memory 9140 to implement information storage or processing, etc.

[0109] The input unit 9120 provides input to the central processing unit 9100. The input unit 9120 is, for example, a key or a touch input device. The power supply 9170 is used to provide power to the electronic device 9600. The display 9160 is used to display display objects such as images and texts. The display may be, for example, an LCD display, but is not limited thereto.

[0110] The memory 9140 may be a solid-state memory, such as a read-only memory (ROM), a random access memory (RAM), a SIM card, etc. It may also be a memory that saves information even when the power is off, can be selectively erased, and is provided with more data, examples of which are sometimes referred to as EPROMs, etc. The memory 9140 may also be some other type of device. The memory 9140 includes a buffer memory 9141 (sometimes referred to as a buffer). The memory 9140 may include an application / function storage unit 9142, which is used to store application programs and function programs or processes for executing the operation of the electronic device 9600 through the central processor 9100.

[0111] The memory 9140 may also include a data storage unit 9143 for storing data, such as contacts, digital data, pictures, sounds, and / or any other data used by the electronic device. The driver storage unit 9144 of the memory 9140 may include various drivers for communication functions of the electronic device and / or for executing other functions of the electronic device (such as messaging applications, address book applications, etc.).

[0112] The communication module 9110 is a transmitter / receiver 9110 that sends and receives signals via an antenna 9111. The communication module (transmitter / receiver) 9110 is coupled to the central processor 9100 to provide input signals and receive output signals, which may be the same as the case of a conventional mobile communication terminal.

[0113] Based on different communication technologies, multiple communication modules 9110 may be provided in the same electronic device, such as a cellular network module, a Bluetooth module and / or a wireless LAN module, etc. The communication module (transmitter / receiver) 9110 is also coupled to a speaker 9131 and a microphone 9132 via an audio processor 9130 to provide an audio output via the speaker 9131 and receive an audio input from the microphone 9132, thereby realizing a common telecommunication function. The audio processor 9130 may include any suitable buffer, decoder, amplifier, etc. In addition, the audio processor 9130 is also coupled to the central processor 9100, so that recording can be performed on the local machine through the microphone 9132, and the sound stored on the local machine can be played through the speaker 9131.

[0114] The embodiments of the present application also provide a computer-readable storage medium capable of implementing all the steps of the method for quantitatively identifying microfacies of lacustrine tight oil beach-bars in the above embodiments, wherein the execution subject is a server or a client. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, all the steps of the method for quantitatively identifying microfacies of lacustrine tight oil beach-bars in the above embodiments are implemented. For example, when the processor executes the computer program, the following steps are implemented:

[0115] Step S101: Determine the sedimentary microfacies type of the coring section according to the sedimentary structural characteristics of the core of the coring section.

[0116] Step S102: plotting the gamma logging data and nuclear magnetic resonance logging data of different sedimentary microfacies types of the coring section in a preset rectangular coordinate system, and obtaining a quantitative identification chart of the beach and bar sand bodies based on the gamma-nuclear magnetic resonance correlation analysis results of the beach and bar sand bodies.

[0117] Step S103: quantitatively identify the uncored and undrilled target layer section in the target work area according to the quantitative identification chart of the beach and bar sand body, and determine the beach and bar type of the uncored and undrilled target layer section in the target work area.

[0118] From the above description, it can be seen that the computer-readable storage medium provided in the embodiment of the present application determines the sedimentary microfacies type of the coring section by the sedimentary structural characteristics of the core of the coring section; the gamma logging data and nuclear magnetic resonance logging data of different sedimentary microfacies types of the coring section are plotted in a preset rectangular coordinate system, and based on the gamma-nuclear magnetic resonance correlation analysis results of the beach and bar sand bodies, a quantitative identification plate of the beach and bar sand bodies is obtained; according to the quantitative identification plate of the beach and bar sand bodies, the target layer section of the target work area that has not been cored and drilled is quantitatively identified, and the beach and bar type of the target layer section of the target work area that has not been cored and drilled is determined, thereby accurately identifying and dividing the single well beach and bar sedimentary microfacies.

[0119] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, devices, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0120] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (apparatus), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0121] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0122] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0123] The present invention uses specific embodiments to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, 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 invention.

Claims

1. A method for quantitative identification of lacustrine tight oil beach-bar microfacies, characterized in that: The method comprises: Determining the sedimentary microfacies type of the coring section according to the core sedimentary structural characteristics of the coring section; The gamma logging data and nuclear magnetic resonance logging data of different sedimentary microfacies types of the coring well section are plotted in a preset rectangular coordinate system, and a quantitative identification chart of the beach and bar sand bodies is obtained according to the gamma-nuclear magnetic resonance correlation analysis results of the beach and bar sand bodies; Quantitatively identify the target layer section of the target work area that has not been cored and drilled according to the quantitative identification chart of the beach and bar sand body, and determine the beach and bar type of the target layer section of the target work area that has not been cored and drilled; Determining the sedimentary microfacies type of the coring section according to the core sedimentary structural characteristics of the coring section includes: Depth regression of core phasing data based on well logging data; Sedimentary microfacies identification is performed based on nuclear magnetic logging data and gamma logging data that are consistent with the depth of the core phasing data to determine the sedimentary microfacies type of the coring section; The gamma logging data and nuclear magnetic logging data of the coring section are plotted in a preset rectangular coordinate system, and a quantitative identification chart of the beach and bar sand bodies is obtained according to the gamma-nuclear magnetic correlation analysis results of the beach and bar sand bodies, including: According to the data distribution after the measured response characteristic value of logging was projected, the positive and negative correlations between the gamma logging and nuclear magnetic logging data were analyzed. Among them, the wells with positive correlation developed bar sedimentary microfacies, and the wells with negative correlation developed shoal sedimentary microfacies. Plotting the gamma logging data and nuclear magnetic logging data of the coring section in a preset rectangular coordinate system, wherein the abscissa of the preset rectangular coordinate system is the gamma logging data, and the ordinate is the nuclear magnetic logging data; According to the distribution interval of the gamma logging data and the nuclear magnetic logging data of the coring well section in the preset rectangular coordinate system and the positive and negative correlation between the gamma logging data and the nuclear magnetic logging data, a quantitative identification chart of the beach and bar sand bodies is obtained; The quantitative identification of the uncored and undrilled target layer section in the target work area according to the quantitative identification plate of the beach and bar sand body to determine the beach and bar type of the uncored and undrilled target layer section in the target work area includes: The gamma logging data and nuclear magnetic logging data of the target layer section that has not been fully drilled and cored in the target work area are projected onto the quantitative identification chart of the beach and bar sand bodies to determine the beach and bar type of the corresponding target layer section that has not been fully drilled and cored in the target work area.

2. A device for quantitative identification of lacustrine tight oil beach-bar microfacies, characterized in that: include: A coring well section sedimentary microfacies type determination module is used to determine the sedimentary microfacies type of the coring well section according to the sedimentary structural characteristics of the core of the coring well section; A module for determining a quantitative identification chart of beach-bar sand bodies is used to plot the gamma logging data and nuclear magnetic logging data of different sedimentary microfacies types of the coring well section in a preset rectangular coordinate system, and obtain a quantitative identification chart of the beach-bar sand bodies according to the gamma-nuclear magnetic correlation analysis results of the beach-bar sand bodies; A target layer section quantitative identification module is used to quantitatively identify the target layer section of the target work area that has not been cored and drilled according to the quantitative identification chart of the beach and bar sand body, and determine the beach and bar type of the target layer section of the target work area that has not been cored and drilled; The module for determining the sedimentary microfacies type of the coring well section includes: A depth homing unit is used to perform depth homing of core phase data based on well logging data; A sedimentary microfacies type determination unit, used to identify sedimentary microfacies according to nuclear magnetic logging data and gamma logging data consistent with the depth of the core phasing data, and determine the sedimentary microfacies type of the coring well section; The module for determining the quantitative identification chart of beach-bar sand bodies includes: The correlation analysis unit is used to analyze the positive and negative correlation between the gamma logging and nuclear magnetic logging data according to the data distribution after the logging measured response characteristic value is projected. Among them, the wells encountered with positive correlation develop bar sedimentary microfacies, and the wells encountered with negative correlation develop shoal sedimentary microfacies; A coordinate system projection unit, used for plotting the gamma logging data and nuclear magnetic logging data of the coring section in a preset rectangular coordinate system, wherein the abscissa of the preset rectangular coordinate system is the gamma logging data, and the ordinate is the nuclear magnetic logging data; A quantitative identification chart determination unit is used to obtain a quantitative identification chart of the beach and bar sand bodies according to the distribution interval of the gamma logging data and the nuclear magnetic logging data of the coring well section in the preset rectangular coordinate system and the positive and negative correlation between the gamma logging data and the nuclear magnetic logging data; The target layer segment quantitative identification module includes: The beach-bar type determination unit is used to project the gamma logging data and nuclear magnetic logging data of the target layer section that has not been cored and drilled in the target work area onto the quantitative identification chart of the beach and bar sand body to determine the beach-bar type of the corresponding target layer section that has not been cored and drilled in the target work area.

3. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps of the method for quantitatively identifying lacustrine tight oil beach-bar microfacies according to claim 1 are implemented.

4. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for quantitatively identifying lacustrine tight oil beach-bar microfacies described in claim 1 are implemented.

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