Flow unit division method for high water-cut reservoirs based on dynamic and static seepage interface

Abstract

The present invention provides a method for dividing flow units of high water-cut reservoirs based on dynamic and static seepage interfaces, comprising: step 1, conducting detailed geological research and constructing a three-dimensional static reservoir data body; step 2, combining dynamic and static data, evaluating and correcting the three-dimensional static reservoir data body through data fitting, and constructing a four-dimensional dynamic reservoir data body; step 3, dividing flow units based on a dynamic seepage interface identification method; step 4, establishing a flow unit classification and division standard according to reservoir conditions and the next step of potential tapping needs, and evaluating and classifying flow units. The method for dividing flow units of high water-cut reservoirs based on dynamic and static seepage interfaces provides technical support for the potential tapping of remaining oil in high water-cut reservoirs and improving the recovery rate, especially for the evaluation of the remaining oil utilization capacity of high water-cut reservoirs and the guidance of efficient development adjustment strategies. It has broad prospects for promotion and application and can generate significant economic benefits.

Description

Technical Field

[0001] The invention relates to the field of adjusting potential tapping and improving recovery rate of water-driven oil reservoirs during high water content period, and in particular to a method for dividing flow units of high water content oil reservoirs based on dynamic and static seepage interfaces. Background Art

[0002] Reservoir flow units are storage and seepage units with similar development and seepage characteristics. Different flow units have different fluid flow characteristics. Flow units are of great significance in deepening the reservoir seepage law and the distribution law of remaining oil, and are of great guiding significance for guiding the implementation of reasonable development and adjustment strategies for reservoirs. After the water-driven reservoir enters the high water-cut development stage, with the long-term water injection development, the flow field distribution changes from being mainly controlled by static parameters to being affected by the combined influence of dynamic and static parameters. In the early stage of development, traditional flow units are mainly controlled by static parameters, and the identification, characterization and division of flow units mainly rely on geological research results; after entering the high water-cut period, the oil-water distribution and seepage characteristics are affected by not only static factors, but also dynamic development parameters such as well network, well spacing, and injection-production intensity. The flow unit has changed from the original three-dimensional spatial parameters to four-dimensional space-time parameters. The existing flow unit research methods mainly focus on the basic geological research of flow units, focus on the qualitative evaluation of flow units, and emphasize the predictive role of production capacity, remaining oil, etc. Most methods do not consider the influence of dynamic factors on flow units in the high water-cut stage, and cannot reflect the characteristics of flow units in the high water-cut stage.

[0003] In the Chinese patent application with application number: 201610684447.4, a reservoir flow unit division method is provided. It includes: in a certain exploration and development block, using existing geological data to conduct high-resolution sequence stratigraphic analysis and establish a high-resolution isochronous stratigraphic framework; in the high-resolution isochronous stratigraphic framework, using existing geological data to conduct sedimentary microfacies analysis and establish a sand body structure model; using the sand body structure model, judging the fault closure, determining the target layer connection body and the step-by-step seepage barrier, screening out the connected sand bodies, and dividing the flow units. This invention focuses on the unit division considering the static parameter flow, without interactive verification with the dynamic development parameters, and cannot guarantee the accuracy of the flow unit division. In addition, for high water-cut reservoirs, the influence of dynamic factors is not considered, and it is not suitable for the flow unit division of high water-cut reservoirs.

[0004] In the Chinese patent application with application number: 201910052097.3, a method, device and equipment for establishing a three-dimensional flow unit model are provided. It includes: obtaining the logging data of the target well; dividing the target layer into multiple layers according to the logging data, and obtaining the layering data; calculating the flow zone index of each layer in the multiple layers according to the porosity data and permeability data of each layer in the multiple layers; establishing a three-dimensional structural model; establishing a three-dimensional sedimentary phase model based on the three-dimensional structural model; based on the three-dimensional sedimentary phase model, using the flow index of each layer in the multiple layers as an attribute to perform phase-controlled attribute modeling and establish a three-dimensional flow unit model. This invention uses the flow index as a constraint parameter to establish a three-dimensional flow unit model. This method only considers the control effect of static parameters on the flow unit, and does not consider the influence of dynamic factors in the high water cut period on the flow unit division. It is not suitable for the flow unit division of high water cut reservoirs, and the parameter values ​​of this method are not fitted and corrected with the dynamic parameters, and the accuracy of the flow unit division cannot be guaranteed.

[0005] In the Chinese patent application with application number: 201910154632.6, a method for dividing dynamic flow units of high water-content oil reservoirs is provided. The method comprises: according to the existing phase permeability curve of the oil field, regressing to obtain the phase permeability curve expression under different absolute permeabilities, and then calculating the water phase relative permeability of each grid point; calculating the water phase permeability coefficient, obtaining the water phase relative permeability of each grid point by step (1), and calculating the water phase permeability coefficient of each grid point in the model according to the definition of the permeability coefficient; determining the division boundary, drawing a semi-logarithmic cumulative curve of the water phase permeability coefficient, finding two parallel segments (with a small slope, almost 0) and a segment with a larger slope between the two parallel segments as the division boundary of the dynamic flow unit; determining the partition to which the grid belongs, based on the division boundary in step (3), performing partition determination on the water phase permeability coefficient of each grid, and then dividing the flow unit. This method uses the water phase seepage coefficient as the flow unit division standard, and only considers the current development status. It cannot consider the impact of current injection and production well spacing, well network and other parameters on the flow unit division. The flow unit division results have little targeted guiding significance for the next step of development strategy adjustment.

[0006] In the Chinese patent application with application number: 201910888252.7, a flow unit information classification and identification method based on support vector machine algorithm is provided. It includes: determination of sample set and data preprocessing, and normalization of sample data by using mapminmax water content in MATLAB; model construction and parameter optimization by using C-SVM classification technology; prediction and verification of the established prediction model by using test samples. This invention patent selects reservoir characteristic parameters, pore structure characteristic parameters, sedimentary characteristic parameters, heterogeneous characteristic parameters, etc., and uses support vector machine algorithm to divide flow units. The method focuses on basic geological research, and focuses on reflecting the division of flow units in the early stage of development. It cannot consider the impact of development dynamics on flow units, and is not suitable for the division of flow units in high water-cut reservoirs.

[0007] To this end, we invented a new method for dividing flow units in high-water-content reservoirs based on dynamic and static seepage interfaces to solve the above technical problems. Summary of the invention

[0008] The purpose of the present invention is to provide a method for dividing flow units of high water-cut reservoirs based on dynamic and static seepage interfaces, which utilizes a four-dimensional reservoir simulation data body to identify the seepage interface that is controlled by dynamic and static factors, divides the flow units of high water-cut reservoirs based on the seepage interface, establishes a high water-cut period flow unit division standard that fully reflects dynamic and static control factors, and realizes the classification of flow units.

[0009] The purpose of the present invention can be achieved through the following technical measures: a method for dividing flow units of high water-cut reservoirs based on dynamic and static seepage interfaces, and the method for dividing flow units of high water-cut reservoirs based on dynamic and static seepage interfaces comprises: step 1, conducting detailed geological research and constructing a three-dimensional static reservoir data body; step 2, combining dynamic and static data, evaluating and correcting the three-dimensional static reservoir data body through data fitting, and constructing a four-dimensional dynamic reservoir data body; step 3, dividing flow units based on a dynamic seepage interface identification method; step 4, establishing a flow unit classification and division standard according to reservoir conditions and the next step of potential tapping needs, and evaluating and classifying the flow units.

[0010] The purpose of the present invention can also be achieved by the following technical measures:

[0011] In step 1, the drilling, completion, logging, seismic, and core data are comprehensively utilized to conduct detailed geological research and construct a three-dimensional static reservoir data volume, including:

[0012] Step 1a, obtaining the stratigraphic data within the reservoir through fine stratigraphic division and comparison;

[0013] Step 1b, through fine structural interpretation, obtain the fault distribution data within the reservoir and determine the distribution of the vertical seepage barrier (interlayer) of the reservoir;

[0014] Step 1c, determining the sedimentological characteristics of the reservoir through reservoir characteristic analysis, obtaining the lithology boundary distribution data within the reservoir, and determining the distribution of static description parameters;

[0015] Step 1d, using modeling software, through the steps of structural model, formation model, attribute model, reserve simulation, and fluid model, a three-dimensional reservoir data body is constructed.

[0016] In step 1c, the static descriptive parameter distribution is determined, including parameters such as permeability, porosity, effective thickness, and initial oil saturation.

[0017] In step 1d, a three-dimensional reservoir data volume is constructed including parameters such as permeability, porosity, reservoir thickness, and original oil saturation.

[0018] In step 2, the four-dimensional reservoir data body is constructed by comprehensively utilizing drilling, completion, logging, oil and water well production data, and dynamic monitoring data, including:

[0019] Step 2a, through the production and dynamic monitoring data of oil and water wells, analyze the corresponding situation of injection and production, and conduct qualitative evaluation of the seepage barrier parameters such as static three-dimensional data volume structure, interlayer, lithology characteristics, and fault distribution;

[0020] Step 2b, constructing an initial model of a four-dimensional dynamic data volume by inputting the dynamic data of oil and water wells in the reservoir development stage;

[0021] Step 2c, by analyzing the development dynamics of oil and water wells, well testing, and logging data, the four-dimensional reservoir model is fitted and the static three-dimensional parameters are corrected;

[0022] Step 2d: After the model meets the quality control of the fitting results, a four-dimensional reservoir data volume is obtained.

[0023] In step 2c, the modified static three-dimensional parameters include porosity, permeability, effective thickness, oil saturation, fault conductivity, and interlayer conductivity.

[0024] In step 3, based on the four-dimensional reservoir data body, the seepage interface of the seepage field is determined, and the flow units are divided based on the seepage interface; the difference between the seepage velocity of each node in the data body and the seepage velocity of the adjacent node is calculated, and the difference is derived with respect to time to determine the size of the above two calculated data, and the data nodes with large difference in seepage velocity and small derivative are connected to form a data surface. The data surface is determined to be the seepage interface formed by dynamic and static factors during the high water content period of the reservoir. The seepage interface divides the reservoir into different flow units. The seepage velocity difference and derivative in the same flow unit are small, and the seepage characteristics are similar.

[0025] In step 4, a classification standard for different types of flow units in high water-cut reservoirs is established, and the flow unit types obtained in step 3 are classified. Each flow unit in the four-dimensional data body is judged according to the classification standard, and the flow unit classification is determined. Oil saturation and seepage velocity are selected as control parameters of the classification standard; the flow units are divided into five categories: high-speed and high-efficiency flow units, high-speed and low-efficiency flow units, low-speed and low-efficiency flow units, low-speed and high-efficiency flow units, and boundary stagnant flow units.

[0026] In step 4, the flow unit division criteria are:

[0027] (1) For high-speed and high-efficiency flow units,

[0028] (2) For high-speed and low-efficiency flow units,

[0029] (3) For low-speed and low-efficiency flow units,

[0030] (4) For low-speed and high-efficiency flow units,

[0031] (5) For the boundary stasis unit,

[0032] In the above formula, is the average oil saturation in the flow unit, unit: f; is the average oil saturation of the four-dimensional reservoir data volume, unit: f; is the average fluid seepage velocity in the flow unit, in m / d; is the average fluid seepage velocity of the four-dimensional reservoir data volume, in m / d; S oi is the initial oil saturation of the four-dimensional reservoir data volume, unit: f.

[0033] According to the above flow unit division standards, the development status of different flow units in the reservoir can be fully reflected, and more targeted development countermeasures can be implemented for different flow units. For high-speed and low-efficiency flow units, development countermeasures should be taken to reduce their seepage velocity and reduce ineffective energy losses; for low-speed and high-efficiency flow units and boundary retention units, development countermeasures should be taken to increase their seepage velocity and improve the utilization of residual oil in the flow units.

[0034] The method for dividing flow units of high water-cut reservoirs based on dynamic and static seepage interfaces in the present invention utilizes reservoir modeling and numerical simulation technology to identify the seepage interface of high water-cut reservoirs that is controlled by dynamic and static factors, and selects indicators that reflect the dynamic and static parameters of the reservoirs to establish a flow unit division standard that can more specifically guide the next development adjustment strategy, and evaluate and classify the flow units. This method solves the shortcomings of existing methods that focus on the division of static parameters of flow units and are only used for the prediction of remaining oil. The flow unit division fully considers the development characteristics of reservoirs in the high water-cut period and integrates the characterization of dynamic and static parameters. This method is more targeted in guiding development adjustment strategies. The invention provides technical support for tapping the potential of remaining oil in high water-cut reservoirs and improving recovery rates, especially for evaluating the utilization capacity of remaining oil in high water-cut reservoirs and guiding efficient development adjustment strategies. It has broad prospects for promotion and application and can generate significant economic benefits.

[0035] The present invention utilizes reservoir modeling and digital modeling technology, based on a four-dimensional reservoir data body, to identify the seepage interface, selects indicators that reflect the dynamic and static parameters of the reservoir, and establishes a flow unit classification standard that can more specifically guide the next development adjustment strategy. A method for dividing the flow units of high-water-content reservoirs based on the dynamic and static seepage interface is invented, which solves the above technical problems and can provide technical support for the recognition of residual oil in high-water-content reservoirs in the later stage and the formulation of adjustment strategies. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a flow chart of a specific embodiment of a flow unit division method based on a dynamic and static seepage interface of the present invention;

[0037] Figure 2 It is a plan view of a small layer in a specific embodiment of the present invention;

[0038] Figure 3 A three-dimensional data volume model diagram in a specific embodiment of the present invention;

[0039] Figure 4 It is a diagram of the dynamic seepage interface and flow unit division in a specific embodiment of the present invention. DETAILED DESCRIPTION

[0040] In order to make the above and other purposes, features, processes and advantages of the present invention more clearly understood, preferred embodiments are specifically listed below and described in detail with reference to the attached flow chart.

[0041] like Figure 1 As shown, Figure 1 The present invention is a flowchart of a specific embodiment of the method for dividing flow units of high water-content reservoirs based on dynamic and static seepage interfaces.

[0042] In step 101, the three-dimensional reservoir data body is constructed by comprehensively utilizing the data of drilling, completion, logging, seismic, core and the like. Specifically, the stratification data of the strata within the reservoir range is obtained through fine stratum division and comparison, and the distribution of the vertical seepage barrier (interlayer) of the reservoir is determined; the fault distribution data within the reservoir range is obtained through fine structural interpretation; the lithology boundary distribution data within the reservoir range is obtained through reservoir characteristic analysis, and the static description parameter distribution is determined, including parameters such as permeability, porosity, effective thickness, and original oil saturation; the reservoir fluid distribution and reserves are determined through reservoir characteristic analysis; based on the results of the above steps, the three-dimensional reservoir data body is constructed by using modeling software through steps such as structural model, stratum model, attribute model, reserve simulation, and fluid model.

[0043] In step 102, a four-dimensional reservoir data body is constructed by comprehensively utilizing drilling, completion, logging, oil and water well production data, and dynamic monitoring data. Specifically, the corresponding injection and production conditions are analyzed through the production and dynamic monitoring data of oil and water wells, and the seepage barrier parameters such as static three-dimensional data body structure, interlayers, lithological characteristics, and fault distribution are qualitatively evaluated; the initial model of the four-dimensional dynamic data body is constructed through the input of oil and water well dynamic data in the reservoir development stage; the four-dimensional reservoir model is fitted through the analysis of oil and water well development dynamics, well testing, and logging data, and the static three-dimensional parameters, including porosity, permeability, effective thickness, oil saturation, fault conductivity, interlayer conductivity, etc. are corrected; after the model meets the quality control of the fitting results, the four-dimensional reservoir data body is obtained.

[0044] In step 103, based on the four-dimensional reservoir data body, the seepage interface of the seepage field is determined, and the flow unit is divided based on the seepage interface. The difference between the seepage velocity of each node in the data body and the seepage velocity of the adjacent node is calculated, and the difference is derived with respect to time, and the size of the above two calculated data is determined. The data nodes with large seepage velocity difference and small derivative are connected to form a data surface. The data surface is determined to be a seepage interface formed by dynamic and static factors during the high water content period of the reservoir. The seepage interface divides the reservoir into different flow units. The seepage velocity difference and derivative in the same flow unit are small, and the seepage characteristics are similar.

[0045] In step 104, a classification standard for different types of flow units in high water-cut reservoirs is established, and the flow unit types obtained in step 3 are classified. Each flow unit in the four-dimensional data body is judged according to the classification standard to determine the flow unit classification, providing a basis for development decisions. In order to fully reflect the influence of dynamic and static parameters on flow units, oil saturation and seepage velocity are selected as control parameters of the classification standard; in order to reflect the characteristics of flow units in the high water-cut period and provide more targeted guidance for the next development strategy, flow units are generally divided into five categories: high-speed and high-efficiency flow units, high-speed and low-efficiency flow units, low-speed and low-efficiency flow units, low-speed and high-efficiency flow units, and boundary stagnation units. The specific flow unit classification standards are:

[0046] (1) For high-speed and high-efficiency flow units,

[0047] (2) For high-speed and low-efficiency flow units,

[0048] (3) For low-speed and low-efficiency flow units,

[0049] (4) For low-speed and high-efficiency flow units,

[0050] (5) For the boundary stasis unit,

[0051] In the above formula, is the average oil saturation in the flow unit, unit: f; is the average oil saturation of the four-dimensional reservoir data volume, unit: f; is the average fluid seepage velocity in the flow unit, in m / d; is the average fluid seepage velocity of the four-dimensional reservoir data volume, in m / d; S oi is the initial oil saturation of the four-dimensional reservoir data volume, unit: f.

[0052] In a specific embodiment of the present invention, the following steps are included:

[0053] In step 1, for a certain high-water-content oil reservoir, firstly carry out detailed geological research using various static data. Through detailed stratigraphic comparison, structural interpretation, and reservoir characteristic analysis, preliminarily determine the plane, interlayer distribution, and combination of flow barrier parameters such as flow unit interlayers, faults, and lithology within the reservoir. Based on the constraints of detailed geological results, modeling software is used to construct a three-dimensional reservoir data body, which should include parameters such as permeability, porosity, reservoir thickness, and original oil saturation.

[0054] In step 2, the injection-production connection and effectiveness of the reservoir well group are analyzed through the production and dynamic data of oil and water wells, and the seepage barrier parameters of the static three-dimensional data body are adjusted and corrected; a four-dimensional reservoir model is established using reservoir numerical simulation software, and the static three-dimensional parameters are corrected by fitting the four-dimensional reservoir model, including porosity, permeability, effective thickness, oil saturation, fault conductivity, interlayer conductivity and other parameters. The four-dimensional reservoir data body should meet the fitting accuracy and be able to reflect the dynamic and static characteristics of the reservoir during the high water content period.

[0055] In step 3, based on the four-dimensional reservoir data body obtained in step 2, the seepage interface of the seepage field is determined, and the flow units are divided based on the seepage interface. The difference between the seepage velocity of each node in the four-dimensional reservoir model and the seepage velocity of the adjacent node is calculated, and the difference is derived with respect to time to determine the size of the above two data of the same node, and the data nodes with large seepage velocity difference and small derivative are connected to form a data surface, which is used as the seepage interface to distinguish different flow units, and the model is divided into different flow units according to the seepage interface.

[0056] In step 4, establish the flow unit classification standard for high water-cut reservoirs, divide the flow units in step 3 into different types, and judge each flow unit of the four-dimensional data body according to the classification standard to determine the flow unit classification. In order to fully reflect the influence of dynamic and static parameters on the flow unit, oil saturation and seepage velocity are selected as the control parameters of the screening standard; in order to reflect the characteristics of the flow unit in the high water-cut period and provide effective guidance for the next development strategy, the flow unit is generally divided into five categories: high-speed and high-efficiency flow unit, high-speed and low-efficiency flow unit, low-speed and low-efficiency flow unit, low-speed and high-efficiency flow unit, and boundary stagnant flow unit. The specific flow unit classification standards are:

[0057] (1) For high-speed and high-efficiency flow units,

[0058] (2) For high-speed and low-efficiency flow units,

[0059] (3) For low-speed and low-efficiency flow units,

[0060] (4) For low-speed and high-efficiency flow units,

[0061] (5) For the boundary stasis unit,

[0062] In the above formula, is the average oil saturation in the flow unit, unit: f; is the average oil saturation of the four-dimensional reservoir data volume, unit: f; is the average fluid seepage velocity in the flow unit, in m / d; is the average fluid seepage velocity of the four-dimensional reservoir data volume, in m / d; S oi is the initial oil saturation of the four-dimensional reservoir data volume, unit: f.

[0063] The method for dividing flow units of high water-cut reservoirs based on dynamic and static seepage interfaces in the present invention utilizes reservoir modeling and numerical simulation technology to identify the seepage interface that is controlled by dynamic and static combined control, thereby establishing a method for dividing flow units of high water-cut reservoirs. The present invention fully considers the development characteristics of reservoirs in the high water-cut period, comprehensively reflects the characterization of dynamic and static parameters of flow units, and the division technical method has stronger pertinence to development adjustment strategies. The invention provides technical support for tapping the potential of remaining oil in high water-cut reservoirs and improving recovery rates, especially for evaluating the utilization capacity of remaining oil in high water-cut reservoirs and guiding efficient development adjustment strategies. It has broad prospects for promotion and application and can generate significant economic benefits.

[0064] In one embodiment, oil field 1 is a typical water-driven oil reservoir. Figure 2 This is a plan view of the reservoir layer. The oil-bearing area of ​​the reservoir is 0.03km 2 , geological reserves of 8.3×10 4 t, the recovery rate is 12.1%, the comprehensive water content is 90.5%, and it is in the high water content development stage. The development efficiency has deteriorated. It is urgent to re-understand the reservoir flow unit and guide the development adjustment strategy.

[0065] Firstly, a detailed geological study of the oil field was conducted to clarify the distribution of static seepage barrier parameters of the reservoir, and a three-dimensional static reservoir data volume constrained by sedimentary phases was established using the petrel modeling software. Figure 3 It is a three-dimensional geological model; combining static and dynamic, on the basis of the fine geological model, a four-dimensional reservoir model is established using eclipse simulation software to carry out data calculation and fitting, and the static reservoir data is corrected. After the calculated data meets the accuracy requirements compared with the observed data, a four-dimensional reservoir data body is obtained; the difference between the seepage velocity of each node in the data body and the adjacent node and its derivative with respect to time are calculated, and the data nodes with large seepage velocity difference and small derivative are connected to determine the seepage interface, which is formed by the combined influence of dynamic and static factors, and the data body is divided into different flow units according to the seepage interface. Figure 4 The flow units and seepage interfaces are divided. According to the actual situation of the oil field, the flow units of the oil field are divided into five categories: high-speed and high-efficiency flow units, high-speed and low-efficiency flow units, low-speed and high-efficiency flow units, and boundary stagnant flow units. After judging each data of the four-dimensional data body at the current stage according to the standard, the flow units are classified and divided. Figure 4 The flow unit classification result of the oil field. Based on the flow unit classification evaluation results, the next step should be to implement development adjustment measures to reduce the seepage velocity of high-speed and low-efficiency flow units, reduce the inefficient water circulation in them, and at the same time increase the seepage velocity of low-speed and high-efficiency flow units and boundary retention units to improve the utilization of residual oil in them.

Claims

1. A method for dividing flow units of high water-cut reservoirs based on dynamic and static seepage interfaces, characterized in that: The method for dividing the flow unit of a high water-cut reservoir based on the dynamic and static seepage interface includes: Step 1: Conduct detailed geological research and construct a three-dimensional static reservoir data volume; Step 2: Combine static and dynamic data, evaluate and modify the 3D static reservoir data volume through data fitting, and construct the 4D dynamic reservoir data volume; Step 3, dividing the flow unit based on the dynamic seepage interface identification method; Step 4: Establish flow unit classification standards based on reservoir conditions and the next step of potential development needs, and evaluate and classify flow units; In step 3, based on the four-dimensional reservoir data body, the seepage interface of the seepage field is determined, and the flow units are divided based on the seepage interface; the difference between the seepage velocity of each node in the data body and the seepage velocity of the adjacent node is calculated, and the difference is derived with respect to time, and the size of the above two calculated data is determined, and the data nodes with large seepage velocity difference and small derivative are connected to form a data surface, which is determined to be the seepage interface formed by dynamic and static factors during the high water content period of the reservoir. The seepage interface divides the reservoir into different flow units. The seepage velocity difference and derivative in the same flow unit are small, and the seepage characteristics are similar; In step 4, a classification standard for different types of flow units in high water-cut reservoirs is established, and the flow unit types obtained in step 3 are classified. Each flow unit in the four-dimensional data body is judged according to the classification standard, and the flow unit classification is judged. Oil saturation and seepage velocity are selected as control parameters of the classification standard; the flow units are divided into five categories: high-speed and high-efficiency flow units, high-speed and low-efficiency flow units, low-speed and low-efficiency flow units, low-speed and high-efficiency flow units, and boundary stagnation units; The flow unit classification standards are: (1) For high-speed and high-efficiency flow units, (2) For high-speed and low-efficiency flow units, (3) For low-speed and low-efficiency flow units, (4) For low-speed and high-efficiency flow units, (5) For the boundary stasis unit, In the above formula, is the average oil saturation in the flow unit, unit: f; is the average oil saturation of the four-dimensional reservoir data volume, unit: f; is the average fluid seepage velocity in the flow unit, in m / d; is the average fluid seepage velocity of the four-dimensional reservoir data volume, in m / d; S oi is the initial oil saturation of the four-dimensional reservoir data volume, unit: f; is the average initial oil saturation of the four-dimensional reservoir data volume, unit: f.

2. The method for dividing flow units of high water-cut reservoirs based on dynamic and static seepage interfaces according to claim 1 is characterized in that: In step 1, the drilling, completion, logging, seismic, and core data are comprehensively utilized to conduct detailed geological research and construct a three-dimensional static reservoir data volume, including: Step 1a, through fine division and comparison of strata, obtain the stratum data within the reservoir and determine the vertical seepage barrier distribution of the reservoir; Step 1b, obtaining fault distribution data within the reservoir through fine structural interpretation; Step 1c, determining the sedimentological characteristics of the reservoir through reservoir characteristic analysis, obtaining the lithology boundary distribution data within the reservoir, and determining the distribution of static description parameters; Step 1d, using modeling software, through the steps of structural model, formation model, attribute model, reserve simulation, and fluid model, a three-dimensional reservoir data body is constructed.

3. The method for dividing flow units of high water-cut reservoirs based on dynamic and static seepage interfaces according to claim 2 is characterized in that: In step 1c, the static descriptive parameter distribution is determined, including parameters such as permeability, porosity, effective thickness, and initial oil saturation.

4. The method for dividing flow units of high water-cut reservoirs based on dynamic and static seepage interfaces according to claim 2, characterized in that: In step 1d, a three-dimensional reservoir data volume is constructed including parameters such as permeability, porosity, reservoir thickness, and original oil saturation.

5. The method for dividing flow units of high water-cut reservoirs based on dynamic and static seepage interfaces according to claim 1, characterized in that: In step 2, the four-dimensional reservoir data body is constructed by comprehensively utilizing drilling, completion, logging, oil and water well production data, and dynamic monitoring data, including: Step 2a, through the production and dynamic monitoring data of oil and water wells, analyze the corresponding situation of injection and production, and conduct qualitative evaluation of the seepage barrier parameters such as static three-dimensional data volume structure, interlayer, lithology characteristics, and fault distribution; Step 2b, constructing an initial model of a four-dimensional dynamic data volume by inputting the dynamic data of oil and water wells in the reservoir development stage; Step 2c, by analyzing the development dynamics of oil and water wells, well testing, and logging data, the four-dimensional reservoir model is fitted and the static three-dimensional parameters are corrected; Step 2d: After the model meets the quality control of the fitting results, a four-dimensional reservoir data volume is obtained.

6. The method for dividing flow units of high water-cut reservoirs based on dynamic and static seepage interfaces according to claim 5, characterized in that: In step 2c, the modified static three-dimensional parameters include porosity, permeability, effective thickness, oil saturation, fault conductivity, and interlayer conductivity.

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