Delta diversion channel reservoir sedimentary facies prediction method and system

Abstract

The invention relates to a delta diversion channel reservoir sedimentary facies prediction method and system. The method comprises the following steps: acquiring geological data of an exploration area; based on the constructed sedimentary numerical model, numerical simulation is carried out on the geological data of the exploration area, a numerical simulation result is obtained, and the geological data of the exploration area comprises sedimentary evolution and sedimentary style of the delta diversion channel; and on the basis of the numerical simulation result and the drilling data of the drilled area, predicting the inter-well area to obtain a sedimentary facies distribution diagram of the internal reservoir of the delta diversion channel. The embodiment of the invention provides the high-precision method for predicting the sedimentary facies of the internal reservoir of the delta diversion channel. The spatial distribution of the sedimentary facies is accurately predicted by simulating the sedimentary evolution process of the sand body in the shunting river channel, meanwhile, the dependence on traditional earthquake and drilling data is reduced, effective sedimentary facies prediction can still be carried out in a data scarcity area, the application range is wide, and the prediction precision is high.

Description

Technical Field

[0001] The present invention relates to the field of river sedimentary facies, and particularly to a method and system for predicting the sedimentary facies of a delta distributary channel reservoir. Background Art

[0002] Oil and gas exploration and development are the core of the global energy industry, involving exploration, development, production and other aspects of oil and gas resources. With the growth of global energy demand and the gradual maturity of the exploitation of traditional oil and gas reservoirs, exploration companies increasingly rely on efficient technologies and methods to develop new oil and gas reservoirs. Especially in areas with complex sedimentary environments, such as delta deposits, accurate prediction of reservoirs is crucial for the success of oil and gas development. Deltas are important reservoirs for oil and gas resources because their sedimentation processes can form rich sandstone layers, which are usually good reservoirs for oil and gas. The interior of a delta is usually composed of multiple intertwined channels, forming complex sedimentary facies belts. Precise exploration of the delta distributary channel area, especially predicting the distribution of reservoir sedimentary facies, is the key to improving exploration success rate and reducing development risks.

[0003] Traditional methods for predicting the sedimentary facies of delta distributary channel reservoirs mainly rely on oilfield seismic data, drilling data, core data, etc. However, due to the complex sedimentation process of delta distributary channel reservoirs, it is often difficult to accurately master their distribution laws. If a technical means can be used to reproduce the formation process of delta distributary channels, the uncertainty in predicting the sedimentary facies of delta distributary channel reservoirs will be greatly reduced.

[0004] With the development of computer technology, sedimentation numerical simulation has become an increasingly important tool. By simulating the sedimentation process, it is possible to reconstruct the paleoenvironment and predict the spatial distribution of sedimentary facies. Sedimentation numerical simulation can provide higher-resolution and more accurate predictions, especially in areas lacking complete geological data, and can effectively improve the reliability of sedimentary facies prediction. In recent years, the application of numerical simulation technology in sedimentology has been increasingly widespread and will become an indispensable technical means in many exploration and development projects in the future. Summary of the Invention

[0005] Based on the above description, the present invention provides a method and system for predicting the sedimentary facies of a delta distributary channel reservoir to solve the technical problem of inaccurate prediction of the sedimentary facies of a delta distributary channel reservoir.

[0006] The technical solution of the present invention to solve the above technical problems is as follows: A method for predicting the sedimentary facies of a delta distributary channel reservoir includes:

[0007] Obtaining geological data of the exploration area;

[0008] Based on the established sedimentation numerical model, numerical simulation is carried out on the geological data of the exploration area to obtain the numerical simulation results, where the geological data of the exploration area includes delta distributary channel sedimentary evolution and sedimentary patterns;

[0009] Based on the numerical simulation results and the drilling data of the drilled area, the inter-well area is predicted to obtain the sedimentary facies distribution map of the reservoir inside the delta distributary channel.

[0010] Further, the method further includes:

[0011] Obtain geological and geophysical data in the study area;

[0012] Based on the geological and geophysical data, construct the sedimentation numerical model.

[0013] Further, the obtaining of the geological and geophysical data in the study area specifically includes:

[0014] Select the formation where the delta distributary channel reservoir develops in the hydrocarbon-bearing basin as the study area;

[0015] Collect seismic profiles, drilling data, core data and regional geological background data in the study area;

[0016] Based on the seismic profiles, drilling data, core data and regional geological background data, determine the main morphology and main input parameters of the distributary channel sedimentary system.

[0017] Further, the constructing of the sedimentation numerical model based on the geological and geophysical data includes:

[0018] Based on the main morphology and main input parameters of the distributary channel sedimentary system, establish a three-dimensional sedimentation numerical simulation model suitable for the sedimentary facies inside the delta distributary channel;

[0019] Based on sedimentation numerical simulation software, simulate the sedimentary evolution of the delta distributary channel to generate the sedimentary facies distribution at different time steps inside the distributary channel.

[0020] Further, the predicting of the inter-well area based on the numerical simulation results and the drilling data of the drilled area to obtain the sedimentary facies distribution map of the reservoir inside the delta distributary channel includes:

[0021] According to the numerical simulation results and the drilling data of the drilled area, determine the main sedimentary microfacies types and spatial distribution characteristics of the reservoir inside the distributary channel;

[0022] Based on the main sedimentary microfacies types and spatial distribution characteristics, generate the sedimentary facies distribution map of the reservoir inside the delta distributary channel.

[0023] Furthermore, the method further includes:

[0024] Based on the prediction results of the sedimentary facies distribution map of the reservoir inside the delta distributary channel, perform uncertainty analysis to optimize the prediction results.

[0025] Furthermore, the method further includes:

[0026] Based on the prediction results of the sedimentary facies distribution map of the reservoir inside the delta distributary channel, derive the planar distribution map of sedimentary facies;

[0027] Based on the planar distribution map of sedimentary facies, provide guidance for the deployment location of oilfield well positions.

[0028] In the second aspect of the embodiments of the present invention, a delta distributary channel reservoir sedimentary facies prediction system is provided, including:

[0029] A data acquisition module, configured to acquire geological data of the exploration area;

[0030] A numerical simulation module, configured to perform numerical simulation on the geological data of the exploration area based on the constructed sedimentary numerical model to obtain numerical simulation results, wherein the geological data of the exploration area includes delta distributary channel sedimentary evolution and sedimentary patterns;

[0031] A sedimentary facies prediction module, configured to predict the well - to - well area based on the numerical simulation results and the drilling data of the drilled area to obtain the sedimentary facies distribution map of the reservoir inside the delta distributary channel.

[0032] In the third aspect of the embodiments of the present invention, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the method as described in the first aspect of the embodiments of the present invention are implemented.

[0033] In the fourth aspect of the embodiments of the present invention, a computer - readable storage medium is provided. The computer - readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method provided in the first aspect of the embodiments of the present invention are implemented.

[0034] Compared with the prior art, the embodiments of the present invention provide a high - precision method for predicting the sedimentary facies of the reservoir inside the delta distributary channel. By simulating the sedimentary evolution process of the sand bodies inside the distributary channel, the spatial distribution of sedimentary facies is accurately predicted. At the same time, the dependence on traditional seismic and drilling data is reduced, and effective sedimentary facies prediction can still be carried out in areas with scarce data. The applicable range is wide and the prediction accuracy is high. Description of the Drawings

[0035] Figure 1It is a schematic flowchart of a method for predicting the sedimentary facies of a delta distributary channel reservoir provided by an embodiment of the present invention;

[0036] Figure 2 It is a schematic structural diagram of a system for predicting the sedimentary facies of a delta distributary channel reservoir provided by an embodiment of the present invention;

[0037] Figure 3 It exemplifies a schematic structural diagram of an electronic device. Detailed implementation manners

[0038] To facilitate the understanding of the present application, the present application will be described more comprehensively below with reference to the relevant drawings. Embodiments of the present application are shown in the drawings. However, the present application can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, these embodiments are provided so that the disclosure of the present application is thorough and comprehensive.

[0039] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which this application belongs. The terms used in the description of this application herein are only for the purpose of describing specific embodiments and are not intended to limit this application.

[0040] As used herein, the singular forms "a", "an" and "the" may also include the plural forms unless the context clearly indicates otherwise. It should also be understood that the terms "comprises / comprising" or "has / including" etc. specify the presence of the stated features, wholes, steps, operations, components, parts or combinations thereof, but do not preclude the possibility of the presence or addition of one or more other features, wholes, steps, operations, components, parts or combinations thereof.

[0041] An embodiment of the present invention provides a method for predicting the sedimentary facies of a delta distributary channel reservoir based on sedimentary numerical simulation, which can address the technical problem of how to accurately predict the sedimentary facies distribution of the reservoir inside the distributary channel in a complex delta sedimentary environment in the prior art.

[0042] The embodiment of the present invention can solve the limitations of traditional sedimentary facies prediction methods. Especially in the oilfield exploration and development areas where delta distributary channel reservoirs are developed, the embodiment of the present invention provides a more efficient and accurate prediction means by means of sedimentary numerical simulation technology, thereby improving the success rate of oil and gas exploration, optimizing the development plan, and effectively reducing the risks and uncertainties in oil and gas development.

[0043] The embodiment of the present invention uses sedimentary numerical simulation technology combined with geological data for accurate prediction, which can effectively improve the success rate of exploration and the efficiency of development, and is particularly important under data-scarce or complex geological conditions.

[0044] Figure 1 It is a schematic flow chart of a method for predicting the sedimentary facies of a delta distributary channel reservoir provided by an embodiment of the present invention. As Figure 1 shown, it includes:

[0045] 101. Obtain geological data of the exploration area;

[0046] 102. Based on the constructed sedimentation numerical model, perform numerical simulation on the geological data of the exploration area to obtain a numerical simulation result. Among them, the geological data of the exploration area includes the sedimentary evolution and sedimentary patterns of the delta distributary channel;

[0047] 103. Based on the numerical simulation result and the drilling data of the drilled area, predict the area between wells to obtain a sedimentary facies distribution map of the reservoir inside the delta distributary channel.

[0048] Specifically, in the embodiment of the present invention, the area to be predicted is uniformly referred to as the undrilled area, and the area where geological detailed data has been obtained by drilling is called the drilled area.

[0049] In step 101, the embodiment of the present invention first obtains the basic geological data of the area to be predicted. The geological data includes factors such as the distribution characteristics of sediments, hydrodynamic force, and provenance supply, and predicts the spatial distribution of the sedimentary facies of the reservoir.

[0050] Furthermore, in step 102, a sedimentation numerical model has been constructed before the prediction in the embodiment of the present invention. The sedimentation numerical model is a three-dimensional sedimentation numerical simulation model suitable for the sedimentary facies inside the delta distributary channel established according to the geological background of the drilled area. The model defines the boundary conditions, sediment characteristics, provenance supply mode, and hydrodynamic conditions of the distributary channel model, uses computer simulation technology to reproduce the sedimentation process, and then predicts the spatial distribution of the sedimentary facies of the reservoir according to factors such as the distribution characteristics of sediments, hydrodynamic force, and provenance supply.

[0051] Furthermore, in step 103, based on the constructed model and the drilling data of the drilled area, the area between wells can be predicted to obtain a prediction result, that is, the spatial distribution of the sedimentary facies of the reservoir inside the delta distributary channel.

[0052] By combining sedimentation numerical simulation technology and actual geological data, the embodiment of the present invention provides a method for predicting the sedimentary facies of the reservoir inside the delta distributary channel with high precision. By simulating the sedimentary evolution process of the sand body inside the distributary channel, the spatial distribution of the sedimentary facies can be accurately predicted. At the same time, the dependence on traditional seismic and drilling data is reduced, and effective sedimentary facies prediction can still be carried out in areas with scarce data. The applicable range is wide and the prediction accuracy is high.

[0053] Based on the above embodiments, the method further includes:

[0054] Obtain geological and geophysical data in the study area;

[0055] Based on the geological and geophysical data, construct the sediment numerical model.

[0056] It can be understood that constructing a model requires collecting a large amount of sample data. Therefore, before prediction and model construction in the embodiments of the present invention, data collection and analysis are required, mainly collecting geological and geophysical data in the study area, including seismic data, drilling data, and core data.

[0057] The embodiments of the present invention preprocess and analyze the collected data, clarify the characteristics of the delta distributary channel sedimentary system, and determine basic parameters such as sedimentary environment, provenance direction, and channel evolution.

[0058] Specifically, the obtaining of geological and geophysical data in the study area specifically includes:

[0059] Select the formation where the delta distributary channel reservoir develops in the hydrocarbon-bearing basin as the study area;

[0060] Collect seismic profiles, drilling data, core data, and regional geological background data in the study area;

[0061] Based on the seismic profiles, drilling data, core data, and regional geological background data, determine the main morphology and main input parameters of the distributary channel sedimentary system.

[0062] Generally, in the embodiments of the present invention, a formation where the delta distributary channel reservoir develops in a certain hydrocarbon-bearing basin is selected as the research object, and seismic profiles, drilling data, core data, and regional geological background data in this area are collected.

[0063] Then, the embodiments of the present invention analyze the development characteristics of the delta distributary channel reservoir, including delta reservoir sedimentary types, reservoir rock grain size distribution, scale distribution range of distributary channels, paleogeomorphic slope, etc.

[0064] Finally, the embodiments of the present invention determine the main morphology and main input parameters of the distributary channel sedimentary system based on the existing data, such as sediment supply rate (sand / mud ratio), fluid velocity, channel slope, etc.

[0065] Based on the above embodiments, the constructing of the sediment numerical model based on the geological and geophysical data includes:

[0066] Based on the main morphology and main input parameters of the distributary channel sedimentary system, establish a three-dimensional sediment numerical simulation model suitable for the internal sedimentary facies of the delta distributary channel;

[0067] Based on sedimentation numerical simulation software, simulate the sedimentary evolution of delta distributary channels, and generate the sedimentary facies distribution at different time steps within the distributary channels.

[0068] Specifically, for the construction of the sedimentation numerical simulation model in the embodiments of the present invention, a sedimentation numerical simulation tool based on three-dimensional physical processes (such as Delft3D) is used to establish a sedimentation simulation model for the distributary channels.

[0069] In the embodiments of the present invention, first, based on the geological background of the study area, a boundary of the three-dimensional sedimentation numerical simulation model is constructed, and this boundary is mainly based on the basic geological conditions of the delta distributary channels in the target area.

[0070] Then, parameters are input (such as provenance supply, slope, sediment, flow velocity conditions, etc.), and the Delft3D numerical simulation program is run.

[0071] The parameter list is shown in Table 1 as an example.

[0072] Table 1 Model Parameters

[0073]

[0074]

[0075] The following elements are considered in the simulation process:

[0076] Provenance supply: Input sediments of different grain sizes (sandstone, sediment, etc.) from the upstream.

[0077] Sedimentary dynamics: Simulate the erosion, transportation, and deposition processes of water flow, and focus on depicting the migration and evolution of distributary channels.

[0078] After inputting the values, a three-dimensional sedimentation model can be generated, including the sedimentary evolution process of the delta over time, the distribution of channel sand bodies, and the distribution of inter-channel mudstones.

[0079] Finally, extract the sedimentary facies classification results, and focus on the distribution of distributary channel sand bodies and channel bar deposits.

[0080] On the basis of the above embodiments, based on the numerical simulation results and the drilling data of the drilled area, predict the area between wells to obtain the sedimentary facies distribution map of the reservoir within the delta distributary channels, including:

[0081] According to the numerical simulation results and drilling data, determine the main sedimentary microfacies types and spatial distribution characteristics of the reservoir within the distributary channels;

[0082] Based on the main sedimentary microfacies types and spatial distribution characteristics, generate the sedimentary facies distribution map of the reservoir within the delta distributary channels.

[0083] After obtaining the numerical simulation results and the drilling data of the drilling area, the simulation results are integrated with the drilling data to predict the un-drilled area, guiding the generation of the sedimentary facies distribution map of the reservoir inside the delta distributary channel, and further improving the accuracy of sedimentary facies prediction.

[0084] Specifically, in the embodiments of the present invention, first, according to the model results and geological data, the main sedimentary microfacies types of the reservoir inside the distributary channel are determined, such as: channel sand bar, distributary channel, inter-distributary bay, etc. and their spatial distribution characteristics.

[0085] Then, combined with the understanding of numerical simulation, the sedimentary description is refined, the differential distribution of sandstone and mudstone is distinguished, the morphology of the distributary channel is reflected, and the final sedimentary facies distribution map of the reservoir inside the delta distributary channel is generated.

[0086] Based on the above embodiments, the method further includes:

[0087] Based on the prediction results of the sedimentary facies distribution map of the reservoir inside the delta distributary channel, uncertainty analysis is carried out to optimize the prediction results.

[0088] It should be noted that after obtaining the prediction results, the embodiments of the present invention also provide a solution to optimize the prediction results. Preferably, the embodiments of the present invention adopt uncertainty analysis to further optimize the sedimentary facies prediction results.

[0089] Specifically, the embodiments of the present invention will conduct sensitivity analysis on the input parameters of the sedimentary numerical model to evaluate the influence of different parameters on sedimentary facies prediction. Further, multiple rounds of numerical simulations are carried out, verified in combination with oilfield drilling data, and uncertainty analysis of sedimentary facies prediction is carried out to further adjust the sedimentary facies prediction results.

[0090] Based on the above embodiments, the method further includes:

[0091] Based on the prediction results of the sedimentary facies distribution map of the reservoir inside the delta distributary channel, a sedimentary facies plane distribution map is derived;

[0092] Based on the sedimentary facies plane distribution map, guidance is provided for the deployment location of oilfield well positions.

[0093] It can be understood that the prediction results provided by the prediction method of the embodiments of the present invention can be correspondingly exported and applied in parallel in the industry. For example: combined with multiple prediction scenarios, a set of maps for predicting the sedimentary facies of the delta distributary channel reservoir can be exported, providing a reliable basis for oil and gas exploration and development decisions.

[0094] Figure 2 It is a schematic structural diagram of a sedimentary facies prediction system for a delta distributary channel reservoir provided by the embodiments of the present invention, as Figure 2As shown in the figure, it includes: a data acquisition module 201, a numerical simulation module 202, and a sedimentary facies prediction module 203, where:

[0095] The data acquisition module 201 is used to obtain geological data of the exploration area;

[0096] The numerical simulation module 202 is used to perform numerical simulation on the geological data of the exploration area based on the constructed sedimentation numerical model to obtain a numerical simulation result. Among them, the geological data of the exploration area includes the sedimentary evolution and sedimentary patterns of delta distributary channels;

[0097] The sedimentary facies prediction module 203 is used to predict the area between wells based on the numerical simulation result and the drilling data of the drilled area to obtain a sedimentary facies distribution map of the reservoir inside the delta distributary channel.

[0098] Specifically, how to use the data acquisition module 201, the numerical simulation module 202, and the sedimentary facies prediction module 203 to predict the sedimentary facies of the delta distributary channel reservoir can be seen in the Figure 1 embodiment shown in the figure. The embodiments of the present invention will not be elaborated here.

[0099] Figure 3 An example of a schematic structural diagram of an electronic device is shown in the Figure 3 figure. The server may include: a processor 310, a communication interface 320, a memory 330, and a bus 340. Among them, the processor 310, the communication interface 320, and the memory 330 communicate with each other through the bus 340. The communication interface 340 can be used for information transmission between the server and the electronic device. The processor 310 can call the logical instructions in the memory 330 to execute the following methods: obtaining geological data of the exploration area; performing numerical simulation on the geological data of the exploration area based on the constructed sedimentation numerical model to obtain a numerical simulation result. Among them, the geological data of the exploration area includes the sedimentary evolution and sedimentary patterns of delta distributary channels; predicting the area between wells based on the numerical simulation result and the drilling data of the drilled area to obtain a sedimentary facies distribution map of the reservoir inside the delta distributary channel.

[0100] This embodiment also provides a computer program product. The computer program product includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the methods provided in the above method embodiments, for example, including: obtaining geological data of an exploration area; based on a constructed sedimentation numerical model, performing numerical simulation on the geological data of the exploration area to obtain a numerical simulation result, wherein the geological data of the exploration area includes delta distributary channel sedimentary evolution and sedimentary patterns; based on the numerical simulation result and well drilling data of a drilled area, predicting an inter-well area to obtain a sedimentary facies distribution map of the reservoir inside the delta distributary channel.

[0101] This embodiment provides a non-transitory computer-readable storage medium. The non-transitory computer-readable storage medium stores computer instructions. The computer instructions cause the computer to execute the methods provided in the above method embodiments, for example, including: obtaining geological data of an exploration area; based on a constructed sedimentation numerical model, performing numerical simulation on the geological data of the exploration area to obtain a numerical simulation result, wherein the geological data of the exploration area includes delta distributary channel sedimentary evolution and sedimentary patterns; based on the numerical simulation result and well drilling data of a drilled area, predicting an inter-well area to obtain a sedimentary facies distribution map of the reservoir inside the delta distributary channel.

[0102] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. A person of ordinary skill in the art can understand and implement it without creative efforts.

[0103] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution, in essence, or the part that contributes to the prior art can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disc, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0104] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for predicting the sedimentary facies of a delta distributary channel reservoir, characterized in that: include: Obtain geological data for the exploration area; Based on the constructed sedimentary numerical model, numerical simulation is performed on the geological data of the exploration area to obtain numerical simulation results, wherein the geological data of the exploration area includes the sedimentary evolution and sedimentary style of the delta distributary channel; Based on the numerical simulation results and the drilling data of the drilled area, the inter-well area is predicted to obtain the sedimentary phase distribution map of the reservoir inside the delta distributary channel.

2. The method for predicting the reservoir sedimentary facies of a delta distributary channel according to claim 1, characterized in that: The method further comprises: Obtain geological and geophysical data in the study area; Based on the geological and geophysical data, the sedimentary numerical model is constructed.

3. The method for predicting the reservoir sedimentary facies of a delta distributary channel according to claim 2, characterized in that: The acquisition of geological and geophysical data in the study area specifically includes: The delta distributary channel reservoir development strata in the oil and gas bearing basin are selected as the study area; Collect seismic profiles, drilling data, core data and regional geological background data in the study area; Based on the seismic profiles, drilling data, core data and regional geological background data, the main morphology and main input parameters of the distributary channel deposition system are determined.

4. The method for predicting the reservoir sedimentary facies of a delta distributary channel according to claim 3, characterized in that: The step of constructing the sedimentation numerical model based on the geological and geophysical data comprises: Based on the main morphology and main input parameters of the distributary channel sedimentary system, a three-dimensional sedimentary numerical simulation model suitable for the internal sedimentary facies of the delta distributary channel is established; Based on the sedimentary numerical simulation software, the sedimentary evolution of the delta distributary channel is simulated to generate the sedimentary phase distribution at different time steps inside the distributary channel.

5. The method for predicting the reservoir sedimentary facies of a delta distributary channel according to claim 1, characterized in that: The method predicts the inter-well area based on the numerical simulation results and the drilling data of the drilled area to obtain the sedimentary phase distribution map of the reservoir inside the delta distributary channel, including: Determine the main sedimentary microfacies types and spatial distribution characteristics of the reservoir inside the distributary channel based on the numerical simulation results and the drilling data of the drilled area; Based on the main sedimentary microfacies types and spatial distribution characteristics, a sedimentary facies distribution map of the internal reservoir of the delta distributary channel is generated.

6. The method for predicting the reservoir sedimentary facies of a delta distributary channel according to claim 1, characterized in that: The method further comprises: Based on the prediction results of the sedimentary facies distribution map of the internal reservoir of the delta distributary channel, uncertainty analysis is performed to optimize the prediction results.

7. The method for predicting the reservoir sedimentary facies of a delta distributary channel according to claim 1, characterized in that: The method further comprises: Based on the prediction results of the sedimentary facies distribution map of the internal reservoir of the delta distributary channel, the sedimentary facies plane distribution map is derived; Based on the sedimentary phase plane distribution map, guidance is provided for the deployment location of oil field wells.

8. A delta distributary channel reservoir sedimentary facies prediction system, characterized in that: include: Data acquisition module, used to obtain geological data of the exploration area; A numerical simulation module, for performing numerical simulation on the geological data of the exploration area based on the constructed sedimentary numerical model to obtain numerical simulation results, wherein the geological data of the exploration area includes the sedimentary evolution and sedimentary style of the delta distributary channel; The sedimentary phase prediction module is used to predict the inter-well area based on the numerical simulation results and the drilling data of the drilled area to obtain the sedimentary phase distribution map of the internal reservoir of the delta distributary channel.

9. 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 computer program, the steps of a delta distributary channel reservoir sedimentary facies prediction method as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed, the steps of a delta distributary channel reservoir sedimentary facies prediction method as described in any one of claims 1 to 7 are implemented.

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