Method and device for determining reasonable liquid production capacity of directional well of oil reservoir with bottom water

Abstract

The invention discloses a method and device for determining the reasonable liquid production capacity of a directional well of an oil reservoir with bottom water. The method comprises the following steps: analyzing geologic characteristics and production dynamics of a directional well with a bottom water reservoir, and constructing a geologic model and a numerical model of the directional well; establishing a comprehensive evaluation parameter set according to the influence factors of the directional well fluid production capacity of the bottom water reservoir; on the basis of the numerical model, the optimal reasonable liquid production capacity corresponding to each evaluation parameter is predicted, a liquid production relation expression of the evaluation parameters and the optimal reasonable liquid production capacity is obtained, a first dimensionless relation chart is established, and a liquid production main control factor and a first influence weight are determined according to the first dimensionless relation chart; and according to the weights, performing weighted summation on the optimal reasonable liquid production capacity corresponding to the liquid production main control factors to obtain the optimal reasonable liquid production capacity of the directional well. The method can comprehensively consider oil reservoir geological attributes, physical property parameters and development dynamics, scientifically and accurately determine the optimal reasonable liquid production capacity of the directional well with the bottom water oil reservoir, improve the recovery degree within a limited period, and realize water control and oil stabilization of an oil field.

Description

Technical Field

[0001] The invention relates to the technical field of oil and natural gas development, and in particular to a method and a device for determining a reasonable liquid production rate of a directional well in a bottom water reservoir. Background Art

[0002] After years of exploitation, high-water-content oilfields are in the stage of development with extremely high water content. The remaining oil is highly dispersed, the injection-production structure is imperfect, and it is increasingly difficult to stabilize the production of oilfields. Therefore, it is necessary to take effective measures to stabilize the production of oilfields during the exploitation of high-water-content oilfields. At present, the more commonly feasible method of increasing oil production is to increase the oil production by significantly increasing the liquid production of production wells. The current way to increase the liquid production of production wells is to understand the seepage law of underground oil layer liquid through existing geological data, and then apply the relationship between oil well production and liquid production index to determine the production system to increase the liquid production of production wells. Summary of the invention

[0003] Due to limited geological data and insufficient understanding of the seepage law of underground oil layer liquid, the oil well production system is determined by simply applying the relationship between oil well production and liquid production index and production pressure difference, which cannot accurately determine the optimal reasonable liquid production and effectively increase the liquid production of production wells, and it is difficult for oil fields to achieve the best development effect. That is, the existing technology does not comprehensively consider the geological attributes, physical parameters and development dynamics of the reservoir to scientifically determine the optimal reasonable liquid production of the oil well, and it is impossible to improve the recovery rate and achieve water control and oil stabilization in the oil field within the limited period of the oil and gas project.

[0004] In view of the above problems, the present invention is proposed to provide a method and device for determining the reasonable liquid production of a directional well in a bottom water reservoir, which overcomes the above problems or at least partially solves the above problems.

[0005] In a first aspect, an embodiment of the present invention provides a method for determining a reasonable liquid production rate of a directional well in an oil reservoir with bottom water, comprising:

[0006] Analyze the geological characteristics and production performance of the directional wells in the bottom water reservoir, construct a geological model of the directional wells in the bottom water reservoir according to the size of the bottom water and the distance between the bottom water and the directional wells, and construct a numerical model of the directional wells in the bottom water reservoir based on the geological model;

[0007] According to the factors affecting the liquid production of directional wells in bottom water reservoirs, comprehensive evaluation parameters affecting the reasonable liquid production and production pressure difference of directional wells in bottom water reservoirs are selected and a comprehensive evaluation parameter set is established; the influencing factors include reservoir properties between bottom water and directional wells, fluid properties between bottom water and directional wells, and production performance of bottom water and adjacent wells;

[0008] Based on the numerical model, predict the optimal reasonable liquid production corresponding to each evaluation parameter, and obtain the expression of the liquid production relationship between the evaluation parameter and the optimal reasonable liquid production;

[0009] A first dimensionless relationship chart of the evaluation parameters and the optimal reasonable liquid production is established according to the liquid production relationship expression, and a main liquid production controlling factor and a first influencing weight of the optimal reasonable liquid production of a directional well in a bottom water reservoir are determined according to the first dimensionless relationship chart;

[0010] The optimal reasonable liquid production corresponding to the main controlling factors of liquid production is weighted and summed according to the first influence weight to obtain the optimal reasonable liquid production of the directional well in the bottom water reservoir.

[0011] In some optional embodiments, the construction of the geological model and numerical model of the directional well in the bottom water reservoir includes:

[0012] A geological model is established according to static parameters of the directional well in the bottom water reservoir, the size of the bottom water, and the distance between the bottom water and the directional well, the geological model is meshed coarsened, and the production data of the directional well is added to obtain a numerical model of the directional well in the bottom water reservoir;

[0013] The static parameters include: at least one of porosity, permeability, saturation, geological reserves, oil-water interface, interlayer, and well location and shape;

[0014] The production data of the directional well includes: bottom water content, water body size, and water body location.

[0015] In some optional embodiments, the comprehensive evaluation parameters affecting the reasonable liquid production and production pressure difference of the directional well in the bottom water reservoir include:

[0016] At least one of reservoir heterogeneity, reservoir rhythmicity, reservoir permeability, reservoir effective thickness, well spacing, and comprehensive water content.

[0017] In some optional embodiments, based on a pre-established numerical model, the optimal reasonable liquid production corresponding to each evaluation parameter is predicted, and the relationship expression between each evaluation parameter and the optimal reasonable liquid production is obtained, including:

[0018] For each evaluation parameter:

[0019] Selecting different values ​​of the evaluation parameters, inputting the different values ​​of the evaluation parameters into a pre-established numerical model, and using numerical simulation to predict the liquid production of a directional well in a bottom water reservoir corresponding to the different values ​​of the evaluation parameters;

[0020] Based on the liquid production of the directional well in the bottom water reservoir corresponding to different values ​​of the evaluation parameter, a liquid production relationship expression between the evaluation parameter and the optimal reasonable liquid production is generated by fitting.

[0021] In some optional embodiments, a first dimensionless relationship chart between the evaluation parameter and the optimal reasonable liquid production is established according to the liquid production relationship expression, including:

[0022] According to the expression of the liquid production relationship of the evaluation parameter, the influence law of the evaluation parameter on the reasonable liquid production is obtained; the influence law is dimensionally normalized to obtain a first dimensionless relationship plate representing the dimensionless coefficient relationship between the evaluation parameter and the optimal reasonable liquid production;

[0023] According to the first dimensionless relationship chart, the main controlling factors and the first influencing weights of the optimal reasonable liquid production of the directional well in the bottom water reservoir are determined, including:

[0024] According to the first dimensionless relationship chart of the evaluation parameters, the slope of the coefficient curve obtained by fitting the evaluation parameters with the dimensionless coefficients of the optimal reasonable liquid production is calculated, and according to the slope of the coefficient curve corresponding to each evaluation parameter, the main controlling factor and the first influencing weight of the liquid production of the optimal reasonable liquid production of the directional well in the bottom water reservoir are determined.

[0025] In some optional embodiments, the influencing law is dimensionally normalized to obtain a first dimensionless relationship chart characterizing the dimensionless coefficient relationship between the evaluation parameter and the optimal reasonable liquid production, including:

[0026] The liquid production corresponding to different values ​​of the evaluation parameter is divided by the optimal reasonable liquid production of the directional well in the bottom water reservoir corresponding to the evaluation parameter, so as to obtain a set of dimensionless coefficients of the optimal reasonable liquid production with values ​​ranging from 0 to 1 under the influence of the evaluation parameter;

[0027] According to the dimensionless coefficient of the best reasonable liquid production with a value of 0 to 1 under the influence of the evaluation parameter, a relationship curve between the evaluation parameter and the dimensionless coefficient of the best reasonable liquid production is obtained, and the relationship curves of multiple evaluation parameters are integrated into one graph to obtain a first dimensionless relationship graph between each evaluation parameter and the best reasonable liquid production.

[0028] In some optional embodiments, the above method further includes:

[0029] Based on the pre-established numerical model of directional wells in bottom water reservoirs, the maximum production pressure difference corresponding to each evaluation parameter is predicted, and the relationship expression between the evaluation parameter and the maximum production pressure difference is obtained;

[0030] A second dimensionless relationship chart of the evaluation parameter and the maximum production pressure difference is established according to the pressure difference relationship expression, and a pressure difference main controlling factor and a second influencing weight of the maximum production pressure difference of a directional well in a bottom water reservoir are determined according to the second dimensionless relationship chart;

[0031] The maximum production pressure difference corresponding to the evaluation parameter is weightedly summed according to the second influence weight to obtain the maximum production pressure difference of the directional well in the bottom water reservoir.

[0032] In some optional embodiments, based on a pre-established numerical model of a directional well in a bottom water reservoir, the maximum production pressure difference corresponding to each evaluation parameter is predicted to obtain an expression of the relationship between the evaluation parameter and the maximum production pressure difference, including:

[0033] For each evaluation parameter:

[0034] Selecting different values ​​of the evaluation parameters, inputting the different values ​​of the evaluation parameters into a pre-established numerical model, and using numerical simulation to predict the production pressure difference of a directional well in a bottom water reservoir corresponding to the different values ​​of the evaluation parameters;

[0035] Based on the production pressure difference of the directional well in the bottom water reservoir corresponding to different values ​​of the evaluation parameter, a pressure difference relationship expression between the evaluation parameter and the maximum production pressure difference is generated by fitting.

[0036] In some optional embodiments, a second dimensionless relationship chart of the evaluation parameter and the maximum production pressure difference is established according to the pressure difference relationship expression, including:

[0037] According to the pressure difference relationship expression of the evaluation parameter, the influence law of the evaluation parameter on the production pressure difference is obtained; the influence law is dimensionally normalized to obtain a second dimensionless relationship plate representing the dimensionless coefficient relationship between the evaluation parameter and the maximum production pressure difference;

[0038] According to the second dimensionless relationship chart, the main controlling factors of the pressure difference and the second influencing weight of the maximum production pressure difference of the directional well in the bottom water reservoir are determined, including:

[0039] According to the second dimensionless relationship chart of the evaluation parameters, the slope of the coefficient curve obtained by fitting the evaluation parameters with the dimensionless coefficients of the maximum production pressure difference is calculated, and according to the slopes of the coefficient curves corresponding to the evaluation parameters, the pressure difference main controlling factors and the second influencing weights of the maximum production pressure difference of the directional wells in the bottom water reservoir are determined.

[0040] In some optional embodiments, dimensionless normalization is performed on the influencing rule to obtain a second dimensionless relationship plate representing the dimensionless coefficient relationship between the evaluation parameter and the maximum production pressure difference, including:

[0041] The production differential pressure corresponding to different values ​​of the evaluation parameter is divided by the maximum production differential pressure of the directional well in the bottom water reservoir corresponding to the evaluation parameter, to obtain a set of dimensionless coefficients of the maximum production differential pressure with a value of 0 to 1 under the influence of the evaluation parameter;

[0042] According to the dimensionless coefficient of the maximum production pressure difference whose value is 0 to 1 under the influence of the evaluation parameter, a relationship curve between the evaluation parameter and the dimensionless coefficient of the maximum production pressure difference is obtained, and the relationship curves of multiple evaluation parameters are integrated into one graph to obtain a second dimensionless relationship graph between each evaluation parameter and the maximum production pressure difference.

[0043] In a second aspect, an embodiment of the present invention provides a device for determining a reasonable liquid production of a directional well in a bottom water reservoir, comprising:

[0044] A model building module is used to build a geological model of a directional well in a bottom water reservoir according to the size of the bottom water in the directional well and the distance between the bottom water and the directional well, and to build a numerical model of the directional well in the bottom water reservoir based on the geological model;

[0045] A data acquisition module is used to obtain influencing factors of the liquid production of directional wells in bottom water reservoirs, wherein the influencing factors include reservoir properties between bottom water and directional wells, fluid properties between bottom water and directional wells, and production dynamics of bottom water and adjacent wells; comprehensive evaluation parameters affecting the liquid production of directional wells in bottom water reservoirs are selected according to the influencing factors, and a comprehensive parameter evaluation set is established;

[0046] A data fitting module is used to predict the optimal reasonable liquid production corresponding to each evaluation parameter based on the numerical model, and obtain the liquid production relationship expression between the evaluation parameter and the optimal reasonable liquid production; establish a first dimensionless relationship chart between the evaluation parameter and the optimal reasonable liquid production according to the liquid production relationship expression, and determine the main liquid production controlling factor and the first influencing weight of the optimal reasonable liquid production of the directional well in the bottom water reservoir according to the first dimensionless relationship chart;

[0047] The data output module is used to perform weighted summation on the optimal reasonable liquid production corresponding to the main controlling factors of liquid production according to the first influencing weight, so as to obtain the optimal reasonable liquid production of the directional well in the bottom water reservoir.

[0048] In some optional embodiments, the data fitting module is further used to:

[0049] Based on a pre-established numerical model of a directional well in a bottom water reservoir, the maximum production differential pressure corresponding to each evaluation parameter is predicted to obtain a relationship expression between the evaluation parameter and the maximum production differential pressure; a second dimensionless relationship chart of the evaluation parameter and the maximum production differential pressure is established based on the pressure differential relationship expression, and a pressure differential main controlling factor and a second influencing weight of the maximum production differential pressure of a directional well in a bottom water reservoir are determined based on the second dimensionless relationship chart;

[0050] The data output module is further used to perform weighted summation on the maximum production pressure differences corresponding to the evaluation parameters according to the second influence weights to obtain the maximum production pressure difference of the directional well in the bottom water reservoir.

[0051] An embodiment of the present invention provides a computer storage medium, wherein the computer storage medium stores computer executable instructions, and when the computer executable instructions are executed by a processor, the above-mentioned method for determining the reasonable liquid production of a directional well in an oil reservoir with bottom water is implemented.

[0052] An embodiment of the present invention provides a computer 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 method for determining the reasonable liquid production of a directional well in a bottom water reservoir is implemented.

[0053] The beneficial effects of the above technical solution provided by the embodiment of the present invention include at least:

[0054] The method and device for determining the reasonable liquid production of a directional well in a bottom water reservoir provided by the embodiment of the present invention selects appropriate evaluation parameters and establishes a comprehensive evaluation parameter set through analysis of the geological characteristics and production dynamics of the directional well in the bottom water reservoir, determines the main control factors affecting the reasonable liquid production of the target well, and assigns influence weights to each main control factor, and finally determines the optimal reasonable liquid production and the maximum production pressure difference according to the influence weights to guide on-site production. The method comprehensively considers the geological attributes, physical parameters and development dynamics of the reservoir, makes full use of the dynamic and static data of the oil field, and scientifically determines the optimal reasonable liquid production of the directional well in the bottom water reservoir, providing technical means for improving the recovery degree and realizing the efficient development of the oil field within a limited period, laying a good foundation for the increase and stability of the project, and supporting the sustainable and beneficial development of the project.

[0055] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0056] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0058] Figure 1 This is a flow chart of a method for determining a reasonable liquid production rate of a directional well in a bottom water reservoir according to Embodiment 1 of the present invention;

[0059] Figure 2 This is a principle framework diagram of a method for determining a reasonable liquid production rate of a directional well in a bottom water reservoir according to Embodiment 1 of the present invention;

[0060] Figure 3aThis is a geological model diagram of a directional well in a bottom water reservoir in Example 1 of the present invention;

[0061] Figure 3b This is a numerical model diagram of a directional well in a bottom water reservoir in Example 1 of the present invention;

[0062] Figure 4 This is a graph showing the relationship between reservoir heterogeneity and liquid production in Example 1 of the present invention;

[0063] Figure 5 This is an example diagram of the first dimensionless plate in the first embodiment of the present invention;

[0064] Figure 6 This is a flow chart of a method for determining a reasonable liquid production rate of a directional well in a bottom water reservoir according to Embodiment 2 of the present invention;

[0065] Figure 7 This is a graph showing the relationship between reservoir heterogeneity and production pressure difference in Example 2 of the present invention;

[0066] Figure 8 This is an example diagram of the second dimensionless plate in the second embodiment of the present invention;

[0067] Fig. 9 This is a diagram of a device for determining a reasonable liquid production rate of a directional well in a bottom water reservoir in an embodiment of the present invention. DETAILED DESCRIPTION

[0068] In view of the above reasons, it is necessary to establish a method for determining the optimal reasonable liquid production of directional wells in oil fields based on numerical simulation. By analyzing the characteristics and production dynamics of directional wells in bottom water reservoirs, the main controlling factors affecting the reasonable liquid production of the target wells are determined, and the influence weights of each main controlling factor are assigned to finally determine the optimal reasonable liquid production of the directional wells. This method for determining the optimal reasonable liquid production solves the problem of how to determine the optimal reasonable liquid production to improve the degree of recovery and achieve water control and oil stabilization in oil fields when the on-site materials are limited and the knowledge of the seepage law of underground oil layers is insufficient. It is of great significance to the stabilization of oil in the middle and late stages of the development of ultra-high water-cut oil fields.

[0069] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0070] In order to solve the problem that the prior art cannot improve the recovery rate and realize water control and oil stabilization in the oil field within a limited period of the oil and gas project, the embodiment of the present invention provides a method and device for determining the reasonable liquid production of a directional well in a bottom water reservoir. The optimal reasonable liquid production of a directional well in a bottom water reservoir is determined based on numerical simulation. When the on-site materials are limited and the seepage law of the liquid in the underground oil layer is not well understood, the optimal reasonable liquid production can be scientifically and accurately determined, thereby improving the recovery rate and realizing water control and oil stabilization in the oil field.

[0071] Embodiment 1

[0072] The embodiment of the present invention provides a method for determining the reasonable liquid production of a directional well in a bottom water reservoir, the process of which is as follows: Figure 1 As shown, the implementation principle can be found in Figure 2 As shown, the following steps are included:

[0073] Step S101: constructing a geological model and a numerical model of a directional well in an oil reservoir with bottom water.

[0074] The target well is a directional well in a bottom water reservoir. A geological model and a numerical model are established for the target well. When modeling, the geological characteristics and production dynamics of the directional well in the bottom water reservoir are analyzed. According to the size of the bottom water and the distance between the bottom water and the directional well, the geological model of the directional well in the bottom water reservoir is constructed. Based on the geological model, the numerical model of the directional well in the bottom water reservoir is constructed.

[0075] When modeling directional wells in reservoirs with bottom water, the geological reservoir characteristics and actual production dynamics of directional wells in reservoirs with bottom water are deeply analyzed, and the impact of bottom water cone advancement and bottom water cone advancement time on the directional well production is comprehensively considered. According to the static parameters of the directional wells in reservoirs with bottom water, the size of the bottom water, and the distance between the bottom water and the directional well, a geological model of the directional wells in reservoirs with bottom water is constructed. The geological model is grid-coarsened, and the production data of the directional wells and reservoir bottom water parameters are added to obtain a numerical model of the reservoir with bottom water. The reservoir bottom water parameters may include the size and location of the water body, etc. When constructing a geological model of a directional well, modeling can be performed for each single well. For an example of a constructed geological model of a directional well, see Figure 3a For examples of numerical models, see Figure 3b shown.

[0076] The parameters to be considered for modeling can be selected as needed, for example, static parameters may include at least one of porosity, permeability, saturation, geological reserves, oil-water interface, interlayers, and well location and shape. The production data of directional wells may include at least one of bottom water content, water body size, and water body location.

[0077] Step S102: According to the factors influencing the liquid production of the directional well in the bottom water reservoir, comprehensive evaluation parameters influencing the reasonable liquid production of the directional well in the bottom water reservoir are selected and a comprehensive evaluation parameter set is established. The influencing factors include the reservoir properties between the bottom water and the directional well, the fluid properties between the bottom water and the directional well, and the production performance of the bottom water and the adjacent wells.

[0078] For directional wells in bottom water reservoirs, it is necessary to determine the optimal reasonable liquid production to avoid or delay the bottom water cone time as much as possible and thus increase the overall oil production of the directional wells. According to the dynamic and static parameters of different single wells, appropriate evaluation parameters can be selected to establish a comprehensive evaluation parameter set. There are many factors that affect the production of directional wells in bottom water reservoirs. According to the reservoir properties between the bottom water and the directional well, the fluid properties between the bottom water and the directional well, the production dynamics of the bottom water and the adjacent wells, etc., the comprehensive evaluation parameters that affect the reasonable liquid production of directional wells in bottom water reservoirs are selected and a comprehensive evaluation parameter set is established. For example, a comprehensive evaluation set X can be established, X = {X1, X2, …, X i}, where X i represents the i-th parameter of the comprehensive parameter evaluation set X.

[0079] The comprehensive evaluation parameters affecting the reasonable liquid production of a directional well in a bottom water reservoir include at least one of reservoir heterogeneity, reservoir rhythmicity, reservoir permeability, reservoir effective thickness, well spacing, and comprehensive water content.

[0080] When selecting comprehensive evaluation parameters that affect the reasonable liquid production of directional wells in bottom water reservoirs to establish a comprehensive evaluation parameter set, it is possible to further consider whether these parameters affect the maximum production pressure difference, and preferably establish an evaluation parameter set based on factors that affect the optimal reasonable liquid production and production pressure difference.

[0081] Step S103: Based on the constructed numerical model, the optimal reasonable liquid production corresponding to each evaluation parameter is predicted, and the expression of the liquid production relationship between the evaluation parameter and the optimal reasonable liquid production is obtained.

[0082] The established numerical model is applied to study the influence of different influencing factors on the reasonable liquid production of directional wells in bottom water reservoirs. For each evaluation parameter in the comprehensive parameter evaluation set: different values ​​of the evaluation parameter are selected, and the different values ​​of the evaluation parameter are input into the pre-established numerical model. The numerical simulation is used to predict the liquid production of directional wells in bottom water reservoirs corresponding to different values ​​of the evaluation parameter. Based on the liquid production of directional wells in bottom water reservoirs corresponding to different values ​​of the above evaluation parameters, the liquid production relationship expression between the evaluation parameter and the optimal reasonable liquid production is fitted and generated. The liquid production relationship expression can be a liquid production relationship curve between the evaluation parameter and the optimal reasonable liquid production.

[0083] Optionally, taking the effective thickness of the reservoir as an example, the process of fitting and generating the expression of the liquid production relationship between the effective thickness of the reservoir and the optimal reasonable liquid production is as follows:

[0084] (1) Select different values ​​of effective reservoir thickness;

[0085] (2) Changing the value of the effective thickness of the reservoir, using the numerical model to simulate and predict the liquid production of a directional well in a bottom water reservoir corresponding to different values ​​of the effective thickness of the reservoir;

[0086] (3) Based on the results of numerical simulation, different liquid production rates of directional wells in bottom water reservoirs with different effective reservoir thicknesses are obtained;

[0087] (4) The liquid production of directional wells with bottom water and reservoirs corresponding to different effective reservoir thicknesses is fitted to generate a liquid production relationship expression between the effective reservoir thickness and the optimal reasonable liquid production.

[0088] Optionally, taking reservoir heterogeneity as an example, the specific method of fitting and generating the expression of the liquid production relationship between reservoir heterogeneity and the optimal reasonable liquid production is as follows:

[0089] (1) Select different values ​​of reservoir heterogeneity;

[0090] (2) Changing the value of reservoir heterogeneity, using numerical models to simulate and predict the liquid production of directional wells in bottom water reservoirs corresponding to different values ​​of reservoir heterogeneity;

[0091] (3) Based on the results of numerical simulation, different liquid production rates of directional wells in bottom water reservoirs with different reservoir heterogeneities are obtained;

[0092] (4) The liquid production of directional wells with bottom water and reservoirs corresponding to different reservoir heterogeneities is fitted to generate a liquid production relationship expression between reservoir heterogeneity and the optimal reasonable liquid production.

[0093] By analogy, the expression of the relationship between each evaluation parameter and the optimal reasonable liquid production can be obtained respectively.

[0094] See also Figure 4 As shown, Figure 4 The vertical permeability variation coefficient represents the reservoir heterogeneity. Multiple different vertical permeability variation coefficients are selected and input into the pre-established numerical model to simulate the liquid production corresponding to each vertical permeability variation coefficient. The corresponding relationship between the above liquid production and different vertical permeability coefficients is integrated into a two-dimensional coordinate diagram. The horizontal axis represents the vertical permeability variation coefficient and the vertical axis represents the liquid production. Finally, the relationship between the vertical permeability variation coefficient and the optimal reasonable liquid production is fitted and generated. The relationship expression can be Figure 4 The curve in

[0095] exist Figure 4The positive rhythm, reverse rhythm, and conforming rhythm are marked to express the relationship between the liquid production and the optimal reasonable liquid production. Among them, the positive rhythm refers to the gradual increase of permeability from the position of the directional well to the position of the bottom water; the reverse rhythm refers to the gradual decrease of permeability from the position of the directional well to the position of the bottom water; the compound rhythm refers to the permeability both increasing and decreasing from the position of the directional well to the position of the bottom water.

[0096] Step S104: Based on the expression of the liquid production relationship between the evaluation parameters and the optimal reasonable liquid production, a first dimensionless relationship chart of the evaluation parameters and the optimal reasonable liquid production is established, and based on the first dimensionless relationship chart, the main liquid production controlling factors and the first influencing weights of the optimal reasonable liquid production of the directional well in the bottom water reservoir are determined.

[0097] After determining the relationship expression between each evaluation parameter and the reasonable liquid production, the main controlling factors and influence weights affecting the reasonable liquid production can be further clarified. According to the expression of the liquid production relationship between the evaluation parameters and the optimal reasonable liquid production obtained in step S103, the influence of different parameters on the liquid production of directional wells in bottom water reservoirs is studied to obtain the influence law of the evaluation parameters on the reasonable liquid production; the influence law is dimensionlessly normalized to obtain the first dimensionless relationship plate representing the dimensionless coefficient relationship between the evaluation parameters and the optimal reasonable liquid production; according to the first dimensionless relationship plate, the slope of the coefficient curve obtained by fitting the dimensionless coefficient of the evaluation parameters and the optimal reasonable liquid production is calculated, and according to the slope of the coefficient curve corresponding to each evaluation parameter, the main controlling factors and the first influence weight of the liquid production of the optimal reasonable liquid production of the directional wells in the bottom water reservoirs are determined.

[0098] Optionally, dimensionless normalization is performed on the influencing rule to obtain a first dimensionless relationship plate representing the dimensionless coefficient relationship between the evaluation parameter and the optimal reasonable liquid production, including:

[0099] The liquid production corresponding to different values ​​of the evaluation parameters is divided by the optimal reasonable liquid production of the directional well in the bottom water reservoir corresponding to the evaluation parameters, and the dimensionless coefficient of the optimal reasonable liquid production with a value of 0 to 1 under the influence of a set of evaluation parameters is obtained;

[0100] According to the dimensionless coefficient of the best reasonable liquid production with a value of 0 to 1 under the influence of the evaluation parameters, a relationship curve between the evaluation parameters and the dimensionless coefficient of the best reasonable liquid production is obtained, and the relationship curves of multiple evaluation parameters are integrated into one graph to obtain the first dimensionless relationship graph between each evaluation parameter and the best reasonable liquid production.

[0101] See also Figure 5As shown, the relationship curve between the evaluation parameter and the dimensionless coefficient of the optimal reasonable liquid production is represented by two-dimensional coordinates, the horizontal axis represents the dimensionless coefficient of the single influencing factor, and the vertical axis represents the dimensionless coefficient of the optimal reasonable liquid production. The relationship curves between multiple evaluation parameters and the dimensionless coefficient of the optimal reasonable liquid production are integrated into one graph, and the first dimensionless relationship graph between each evaluation parameter and the optimal reasonable liquid production is obtained; Figure 5 The dimensionless coefficient curves corresponding to the evaluation parameters such as vertical variation coefficient, permeability, water content, reservoir thickness and well spacing are given in the figure. The first dimensionless relationship chart is obtained by integrating these curves.

[0102] The above-mentioned single influencing factor refers to a single parameter in the comprehensive evaluation parameter set that affects the reasonable liquid production of directional wells in oil reservoirs with bottom water.

[0103] Optionally, according to the first dimensionless relationship chart of the evaluation parameters, the slope of the coefficient curve obtained by fitting the dimensionless coefficient of each evaluation parameter with the optimal reasonable liquid production is calculated. According to the slope of the curve, the influence of each single evaluation parameter on the liquid production is compared and analyzed. The larger the slope of the curve, the greater the influence of the parameter on the optimal reasonable liquid production, and the smaller the slope of the curve, the smaller the influence of the parameter on the optimal reasonable liquid production. According to the slope of the coefficient curve corresponding to each evaluation parameter, the main controlling factor and the first influencing weight of the optimal reasonable liquid production of the directional well in the bottom water reservoir are determined. The determined main controlling factor is the main parameter affecting the reasonable liquid production of the directional well in the bottom water reservoir.

[0104] Following the example of effective reservoir thickness above, dimensionless normalization is performed on the influence of different effective reservoir thicknesses on reasonable liquid production. Specifically, the optimal reasonable liquid production values ​​corresponding to different reservoir thicknesses are divided by the maximum reasonable liquid production values ​​on the reservoir thickness relationship expression curve to obtain the dimensionless coefficient of the optimal reasonable liquid production corresponding to different effective reservoir thicknesses, and then the relationship curve between effective reservoir thickness and the dimensionless coefficient of the optimal reasonable liquid production is obtained. By analogy, the relationship curve between different evaluation parameters and the dimensionless coefficient of the optimal reasonable liquid production is obtained.

[0105] See also Figure 5 As shown in the figure, the coefficient of variation of vertical permeability represents reservoir heterogeneity. According to the first dimensionless relationship chart, the slopes of the coefficient curves obtained by fitting the dimensionless coefficients of each evaluation parameter and the optimal reasonable liquid production are calculated respectively. According to the size of the slope of the curve, the main controlling factors of the optimal reasonable liquid production can be determined as follows: reservoir heterogeneity, permeability, comprehensive water content, effective reservoir thickness, and well spacing; the weights of each main controlling factor are determined, from large to small: comprehensive water content, reservoir heterogeneity, well spacing, effective reservoir thickness, and reservoir permeability. Determining the main controlling factors and weights can better evaluate the impact of each evaluation parameter on the optimal reasonable liquid production, and weighting according to the impact size can make the prediction results more accurate.

[0106] Step S105: weighted summing of the optimal reasonable liquid production corresponding to the main controlling factors of liquid production is performed according to the first influencing weight to obtain the optimal reasonable liquid production of the directional well in the bottom water reservoir.

[0107] After determining the main controlling factors and influence weights of the optimal reasonable liquid production, the optimal reasonable liquid production of the directional well is determined by comprehensively considering the relationship between the main controlling factors and the reasonable liquid production. The optimal reasonable liquid production corresponding to the main controlling factors of the directional well in the bottom water reservoir can be multiplied by the corresponding influence weight, and then the product of the optimal reasonable liquid production of different main controlling factors and the influence weight can be summed to obtain the optimal reasonable liquid production of the directional well in the bottom water reservoir to guide the field production.

[0108] The above method of the embodiment of the present invention determines the optimal reasonable liquid production of the directional well of the oil field based on numerical simulation, determines the main control factors affecting the reasonable liquid production of the target well by analyzing the geological reservoir characteristics and production dynamics of the oil field, and assigns the influence weight of each main control factor, and finally determines the optimal reasonable liquid production of the directional well. The method for determining the optimal reasonable liquid production is of great significance to the stable oil production in the middle and late stages of the development of the ultra-high water-cut oil field, and it is necessary to significantly increase the liquid production of the production well to ensure the stability of the overall production of the oil field.

[0109] Embodiment 2

[0110] Embodiment 2 of the present invention provides a method for determining the production pressure difference of a directional well in a bottom water reservoir. The difference from the method provided in Embodiment 1 is that the maximum production pressure difference is further determined on the basis of determining the optimal reasonable liquid production rate. The process of the method is as follows: Figure 6 As shown, the following steps are included:

[0111] Step S201: Based on a pre-established numerical model of a directional well in a bottom water reservoir, the maximum production pressure difference corresponding to each evaluation parameter is predicted to obtain a pressure difference relationship expression between the evaluation parameter and the maximum production pressure difference.

[0112] The established numerical model is applied to study the influence of different influencing factors on the maximum production pressure difference of directional wells in bottom water reservoirs. For each evaluation parameter in the comprehensive parameter evaluation set: different values ​​of the evaluation parameter are selected, and the different values ​​of the evaluation parameter are input into the pre-established numerical model. The production pressure difference of the directional well in the bottom water reservoir corresponding to the different values ​​of the evaluation parameter is predicted by numerical simulation. Based on the production pressure difference of the directional well in the bottom water reservoir corresponding to the different values ​​of the evaluation parameter, the pressure difference relationship expression between the evaluation parameter and the maximum production pressure difference is fitted and generated. The pressure difference relationship expression can be a liquid production relationship curve between the evaluation parameter and the optimal reasonable liquid production.

[0113] Optionally, taking the effective thickness of the reservoir as an example, the specific method of fitting and generating the pressure difference relationship expression between the effective thickness of the reservoir and the maximum production pressure difference is as follows:

[0114] (1) Select different values ​​of effective reservoir thickness;

[0115] (2) Changing the value of the effective thickness of the reservoir, using the numerical model to simulate and predict the production pressure difference of the directional well in the bottom water reservoir corresponding to different values ​​of the effective thickness of the reservoir;

[0116] (3) Based on the results of numerical simulation, different production pressure differences of directional wells in bottom water reservoirs with different effective reservoir thicknesses are obtained;

[0117] (4) The production pressure differences of directional wells with bottom water and reservoirs corresponding to different effective reservoir thicknesses are fitted to generate a pressure difference relationship expression between the effective reservoir thickness and the maximum production pressure difference.

[0118] Optionally, taking reservoir heterogeneity as an example, the specific method of fitting and generating the pressure difference relationship expression between reservoir heterogeneity and maximum production pressure difference is as follows:

[0119] (1) Select different values ​​of reservoir heterogeneity;

[0120] (2) Changing the value of reservoir heterogeneity, using numerical models to simulate and predict the production pressure difference of directional wells in bottom water reservoirs corresponding to different values ​​of reservoir heterogeneity;

[0121] (3) Based on the results of numerical simulation, different production pressure differences of directional wells in bottom water reservoirs with different reservoir heterogeneities are obtained;

[0122] (4) The production differential pressures of directional wells with bottom water and reservoirs corresponding to different reservoir heterogeneities are fitted to generate a pressure differential relationship expression between reservoir heterogeneity and the maximum production differential pressure.

[0123] By analogy, the pressure difference relationship expression between each evaluation parameter and the maximum production pressure difference can be obtained respectively.

[0124] See also Figure 7 As shown in the figure, the coefficient of variation of vertical permeability is the reservoir heterogeneity. Multiple different coefficients of variation of vertical permeability are selected and input into the pre-established numerical model to simulate the production differential pressure corresponding to each coefficient of variation of vertical permeability. The corresponding relationship between the above production differential pressure and different vertical permeability coefficients is integrated into a two-dimensional coordinate diagram, with the horizontal axis representing the coefficient of variation of vertical permeability and the vertical axis representing the production differential pressure. Finally, the pressure differential relationship expression between the coefficient of variation of vertical permeability and the maximum production differential pressure is generated by fitting. The relationship expression can be Figure 7 The curve in

[0125] exist Figure 7The positive rhythm, reverse rhythm, and conforming rhythm are marked to express the relationship between the liquid production and the optimal reasonable liquid production. Among them, the positive rhythm refers to the gradual increase of permeability from the position of the directional well to the position of the bottom water; the reverse rhythm refers to the gradual decrease of permeability from the position of the directional well to the position of the bottom water; the compound rhythm refers to the permeability both increasing and decreasing from the position of the directional well to the position of the bottom water.

[0126] Step S202: Based on the pressure difference relationship expression between the evaluation parameter and the maximum production pressure difference, a second dimensionless relationship chart of the evaluation parameter and the maximum production pressure difference is established, and based on the second dimensionless relationship chart, the pressure difference main controlling factor and the second influencing weight of the maximum production pressure difference of the directional well in the bottom water reservoir are determined.

[0127] After determining the relationship expression between each evaluation parameter and the reasonable liquid production, the main controlling factors and influence weights that affect the reasonable liquid production can be further clarified. According to the pressure difference relationship expression between the evaluation parameter and the maximum production pressure difference obtained in step S201, the influence of different parameters on the pressure difference of directional wells in bottom water reservoirs is studied to obtain the influence law of the evaluation parameter on the production pressure difference; the influence law is dimensionlessly normalized to obtain a second dimensionless relationship plate that characterizes the dimensionless coefficient relationship between the evaluation parameter and the maximum production pressure difference; according to the second dimensionless relationship plate, the slope of the coefficient curve obtained by fitting the dimensionless coefficient of the evaluation parameter and the maximum production pressure difference is calculated, and according to the slope of the coefficient curve corresponding to each evaluation parameter, the pressure difference main controlling factor and the second influence weight of the maximum production pressure difference of the directional well in the bottom water reservoir are determined.

[0128] Optionally, the influencing law is dimensionally normalized to obtain a second dimensionless relationship plate characterizing the dimensionless coefficient relationship between the evaluation parameter and the maximum production pressure difference, including:

[0129] The production differential pressure corresponding to different values ​​of the evaluation parameter is divided by the maximum production differential pressure of the directional well in the bottom water reservoir corresponding to the evaluation parameter, and the dimensionless coefficient of the maximum production differential pressure with a value of 0 to 1 under the influence of a set of evaluation parameters is obtained;

[0130] According to the dimensionless coefficient of the maximum production pressure difference with a value of 0 to 1 under the influence of the evaluation parameter, a relationship curve between the evaluation parameter and the maximum production pressure difference is obtained, and the relationship curves of multiple evaluation parameters are integrated into one graph to obtain a second dimensionless relationship graph between each evaluation parameter and the maximum production pressure difference.

[0131] See also Figure 8As shown, the relationship curve between the evaluation parameter and the dimensionless coefficient of the maximum production pressure difference is represented by a two-dimensional coordinate, the horizontal axis represents the dimensionless coefficient of the single influencing factor, and the vertical axis represents the dimensionless coefficient of the maximum production pressure difference. The relationship curves between multiple evaluation parameters and the dimensionless coefficient of the maximum production pressure difference are integrated into one graph, and the second dimensionless relationship graph between each evaluation parameter and the maximum production pressure difference is obtained; Figure 5 The dimensionless coefficient curves corresponding to the evaluation parameters such as vertical coefficient of variation (vertical range), permeability, water content, reservoir thickness and well spacing are given in the figure. The first dimensionless relationship chart is obtained by integrating these curves.

[0132] The above-mentioned single influencing factor refers to a single parameter in the comprehensive evaluation parameter set that affects the production pressure difference of directional wells in bottom water reservoirs.

[0133] Optionally, according to the second dimensionless relationship plate of the evaluation parameters, the slope of the coefficient curve obtained by fitting each evaluation parameter with the dimensionless coefficient of the maximum production differential pressure is calculated; according to the slope of the curve, the influence of each single evaluation parameter on the production differential pressure is compared and analyzed; the larger the slope of the curve, the greater the influence of the parameter on the maximum production differential pressure, and the smaller the slope of the curve, the smaller the influence of the parameter on the maximum production differential pressure; according to the slope of the coefficient curve corresponding to each evaluation parameter, the main controlling factor of the maximum production differential pressure of the directional well in the bottom water reservoir and the second influencing weight are determined.

[0134] The above main controlling factors are the main parameters affecting the production pressure difference of directional wells in bottom water reservoirs.

[0135] Following the example of effective reservoir thickness above, dimensionless normalization is performed on the influence of different effective reservoir thicknesses on production pressure difference. Specifically, the maximum production pressure difference corresponding to different reservoir thicknesses is divided by the maximum production pressure difference on the reservoir thickness relationship expression curve to obtain the dimensionless coefficient of the maximum production pressure difference corresponding to different effective reservoir thicknesses, and then the relationship curve between effective reservoir thickness and the dimensionless coefficient of the maximum production pressure difference is obtained. By analogy, the relationship curve between different evaluation parameters and the dimensionless coefficient of the maximum production pressure difference is obtained.

[0136] See also Figure 8As shown, the coefficient of variation of vertical permeability represents reservoir heterogeneity. According to the first dimensionless relationship chart, the slopes of the coefficient curves obtained by fitting the dimensionless coefficients of each evaluation parameter and the maximum production pressure difference are calculated respectively. According to the size of the slope of the curve, the main controlling factors of the maximum production pressure difference can be determined as follows: reservoir heterogeneity, permeability, comprehensive water content, effective reservoir thickness, and well spacing; the weights of each main controlling factor are determined, from large to small: comprehensive water content, reservoir permeability, well spacing, effective reservoir thickness, and reservoir heterogeneity. Determining the main controlling factors and weights can better evaluate the impact of each evaluation parameter on the maximum production pressure difference, and weighting according to the impact size can make the prediction results more accurate.

[0137] Step S203: performing weighted summation of the maximum production pressure differences corresponding to the pressure difference main controlling factors according to the second influencing weights to obtain the maximum production pressure difference of the directional well in the bottom water reservoir.

[0138] After determining the main controlling factors and influence weights of the maximum production differential pressure, the maximum production differential pressure of the directional well is determined by comprehensively considering the relationship between the main controlling factors and the production differential pressure. The maximum production differential pressure of the directional well in the bottom water reservoir can be obtained by multiplying the maximum production differential pressure of each main controlling factor with the corresponding influence weight, and then summing the product of the maximum production differential pressure of different main controlling factors and the influence weight, to guide the field production.

[0139] The above method of the embodiment of the present invention realizes the determination of the optimal reasonable liquid production and the maximum production pressure difference of the directional well of the oil field based on numerical simulation, determines the main control factors affecting the reasonable liquid production and the maximum production pressure difference of the target well by analyzing the geological reservoir characteristics and production dynamics of the oil field, and assigns the influence weight of each main control factor, and finally determines the optimal reasonable liquid production and the maximum production pressure difference of the directional well. The method for determining the optimal reasonable liquid production is of great significance to the stable oil production in the middle and late stages of the development of ultra-high water-cut oil fields, and it is necessary to ensure the stability of the overall production of the oil field by significantly increasing the liquid production of the production wells.

[0140] Based on the same inventive concept, the embodiment of the present invention also provides a device for determining the reasonable liquid production of a directional well in a bottom water reservoir. The structure of the device is as follows: Fig. 9 As shown, including:

[0141] The model building module 11 is used to build a geological model of the directional well in the bottom water reservoir according to the size of the bottom water in the directional well and the distance between the bottom water and the directional well, and to build a numerical model of the directional well in the bottom water reservoir based on the geological model;

[0142] The data acquisition module 12 is used to obtain the influencing factors of the liquid production of the directional well in the bottom water reservoir, the influencing factors include the reservoir properties between the bottom water and the directional well, the fluid properties between the bottom water and the directional well, and the production dynamics of the bottom water and the adjacent wells; according to the influencing factors, comprehensive evaluation parameters affecting the liquid production of the directional well in the bottom water reservoir are selected to establish a comprehensive parameter evaluation set;

[0143] The data fitting module 13 is used to predict the optimal reasonable liquid production corresponding to each evaluation parameter based on the numerical model, and obtain the liquid production relationship expression between the evaluation parameter and the optimal reasonable liquid production; establish the first dimensionless relationship plate between the evaluation parameter and the optimal reasonable liquid production according to the liquid production relationship expression, and determine the main controlling factors and the first influencing weight of the liquid production of the directional well in the bottom water reservoir according to the first dimensionless relationship plate;

[0144] The data output module 14 is used to perform weighted summation of the optimal reasonable liquid production corresponding to the main controlling factors of liquid production according to the first influencing weight, so as to obtain the optimal reasonable liquid production of the directional well in the bottom water reservoir.

[0145] In some optional embodiments, the data fitting module 13 is also used to predict the maximum production pressure difference corresponding to each evaluation parameter based on a pre-established numerical model of a directional well in a bottom water reservoir, and obtain an expression of the relationship between the evaluation parameter and the maximum production pressure difference; a second dimensionless relationship chart of the evaluation parameter and the maximum production pressure difference is established according to the pressure difference relationship expression, and the main controlling factor and the second influencing weight of the maximum production pressure difference of the directional well in the bottom water reservoir are determined according to the second dimensionless relationship chart.

[0146] The data output module 14 is further used to perform weighted summation on the maximum production pressure differences corresponding to the evaluation parameters according to the second influence weights to obtain the maximum production pressure difference of the directional well in the bottom water reservoir.

[0147] The embodiment of the present invention further provides a computer storage medium, in which computer executable instructions are stored. When the computer executable instructions are executed by a processor, the above-mentioned method for determining the reasonable liquid production of a directional well in an oil reservoir with bottom water is implemented.

[0148] A computer device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the stored computer program, the method for determining the reasonable liquid production of a directional well in a bottom water reservoir is implemented.

[0149] Regarding the device for determining the reasonable liquid production of a directional well in a bottom water reservoir in the above-mentioned embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0150] The above-mentioned method and device of the embodiment of the present invention comprehensively consider the geological attributes, physical parameters and development dynamics of the oil reservoir, make full use of the dynamic and static data of the oil field, and scientifically determine the optimal and reasonable liquid production of the directional well in the bottom water oil reservoir, which provides technical means for overseas oil and gas projects to improve the degree of recovery and realize the efficient development of the oil field within a limited contract period, lays a good foundation for the project's increased and stable production, and supports the sustainable and profitable development of the project.

[0151] Unless otherwise specifically stated, terms such as processing, computing, calculating, determining, displaying, etc. may refer to the actions and / or processes of one or more processing or computing systems, or similar devices, which operate and convert data represented as physical (e.g., electronic) quantities within registers or memories of a processing system into other data similarly represented as physical quantities within memories, registers, or other such information storage, transmission, or display devices of the processing system. Information and signals may be represented using any of a variety of different techniques and methods. For example, data, instructions, commands, information, signals, bits, symbols, and chips mentioned throughout the above description may be represented by voltages, currents, electromagnetic waves, magnetic fields or particles, light fields or particles, or any combination thereof.

[0152] It should be understood that the specific order or hierarchy of steps in the disclosed process is an example of an exemplary method. Based on design preferences, it should be understood that the specific order or hierarchy of steps in the process can be rearranged without departing from the scope of protection of the present disclosure. The attached method claims present the elements of the various steps in an exemplary order and are not intended to be limited to the specific order or hierarchy described.

[0153] In the above detailed description, various features are grouped together in a single embodiment to simplify the disclosure. This method of disclosure should not be interpreted as reflecting an intention that the embodiments of the claimed subject matter require more features than are clearly stated in each claim. On the contrary, as reflected in the appended claims, the invention is in a state of having less than all the features of the disclosed individual embodiments. Therefore, the appended claims are hereby expressly incorporated into the detailed description, with each claim standing on its own as a separate preferred embodiment of the invention.

[0154] Those skilled in the art will also appreciate that the various illustrative logic blocks, modules, circuits, and algorithmic steps described in conjunction with the embodiments herein can all be implemented as electronic hardware, computer software, or a combination thereof. In order to clearly illustrate the interchangeability between hardware and software, various illustrative components, blocks, modules, circuits, and steps are generally described above around their functions. Whether such functions are implemented as hardware or software depends on specific applications and the design constraints imposed on the entire system. A skilled person can implement the described functions in an alternative manner for each specific application, but such implementation decisions should not be interpreted as departing from the scope of protection of the present disclosure.

[0155] The steps of the method or algorithm described in conjunction with the embodiments herein may be directly embodied as hardware, a software module executed by a processor, or a combination thereof. The software module may be located in a RAM memory, a flash memory, a ROM memory, an EPROM memory, an EEPROM memory, a register, a hard disk, a mobile disk, a CD-ROM, or any other form of storage medium well known in the art. An exemplary storage medium is connected to the processor so that the processor can read information from the storage medium and can write information to the storage medium. Of course, the storage medium may also be an integral part of the processor. The processor and the storage medium may be located in an ASIC. The ASIC may be located in a user terminal. Of course, the processor and the storage medium may also be present in a user terminal as discrete components.

[0156] For software implementation, the techniques described in this application can be implemented with modules (e.g., procedures, functions, etc.) that perform the functions described in this application. These software codes can be stored in a memory unit and executed by a processor. The memory unit can be implemented within the processor or outside the processor. In the latter case, it is coupled to the processor in a communication manner via various means, which are well known in the art.

[0157] The above description includes examples of one or more embodiments. Of course, it is impossible to describe all possible combinations of components or methods for the purpose of describing the above embodiments, but it should be recognized by those skilled in the art that the various embodiments may be further combined and arranged. Therefore, the embodiments described herein are intended to cover all such changes, modifications and variations that fall within the scope of protection of the appended claims. In addition, with respect to the term "comprising" used in the specification or claims, the word is covered in a manner similar to the term "including", just as "including," is explained as a transitional word in the claims. In addition, any term "or" used in the specification of the claims is intended to mean "non-exclusive or".

Claims

1. A method for determining the reasonable liquid production of a directional well in a bottom water reservoir, characterized in that: include: Analyze the geological characteristics and production performance of the directional wells in the bottom water reservoir, construct a geological model of the directional wells in the bottom water reservoir according to the size of the bottom water and the distance between the bottom water and the directional wells, and construct a numerical model of the directional wells in the bottom water reservoir based on the geological model; According to the factors affecting the liquid production of directional wells in bottom water reservoirs, comprehensive evaluation parameters affecting the reasonable liquid production of directional wells in bottom water reservoirs are selected and a comprehensive evaluation parameter set is established; the influencing factors include reservoir properties between bottom water and directional wells, fluid properties between bottom water and directional wells, and production performance of bottom water and adjacent wells; Based on the numerical model, predict the optimal reasonable liquid production corresponding to each evaluation parameter, and obtain the expression of the liquid production relationship between the evaluation parameter and the optimal reasonable liquid production; A first dimensionless relationship chart of the evaluation parameters and the optimal reasonable liquid production is established according to the liquid production relationship expression, and a main liquid production controlling factor and a first influencing weight of the optimal reasonable liquid production of a directional well in a bottom water reservoir are determined according to the first dimensionless relationship chart; The optimal reasonable liquid production corresponding to the main controlling factors of liquid production is weighted and summed according to the first influence weight to obtain the optimal reasonable liquid production of the directional well in the bottom water reservoir.

2. The method according to claim 1, characterized in that The construction of the geological model and numerical model of the directional well in the bottom water reservoir comprises: A geological model is established according to static parameters of the directional well in the bottom water reservoir, the size of the bottom water, and the distance between the bottom water and the directional well, the geological model is meshed coarsened, and the production data of the directional well is added to obtain a numerical model of the directional well in the bottom water reservoir; The static parameters include: at least one of porosity, permeability, saturation, geological reserves, oil-water interface, interlayer, and well location and shape; The production data of the directional well includes at least one of bottom water content, water body size, and water body position.

3. The method according to claim 1, characterized in that The comprehensive evaluation parameters affecting the reasonable liquid production and production pressure difference of directional wells in bottom water reservoirs include: At least one of reservoir heterogeneity, reservoir rhythmicity, reservoir permeability, reservoir effective thickness, well spacing, and comprehensive water content.

4. The method according to claim 1, characterized in that Based on the pre-established numerical model, the optimal reasonable liquid production corresponding to each evaluation parameter is predicted, and the relationship expression between each evaluation parameter and the optimal reasonable liquid production is obtained, including: For each evaluation parameter: Selecting different values ​​of the evaluation parameters, inputting the different values ​​of the evaluation parameters into a pre-established numerical model, and using numerical simulation to predict the liquid production of a directional well in a bottom water reservoir corresponding to the different values ​​of the evaluation parameters; Based on the liquid production of the directional well in the bottom water reservoir corresponding to different values ​​of the evaluation parameter, a liquid production relationship expression between the evaluation parameter and the optimal reasonable liquid production is generated by fitting.

5. The method according to claim 1, characterized in that A first dimensionless relationship chart of the evaluation parameter and the optimal reasonable liquid production is established according to the liquid production relationship expression, including: According to the expression of the liquid production relationship of the evaluation parameter, the influence law of the evaluation parameter on the reasonable liquid production is obtained; the influence law is dimensionally normalized to obtain a first dimensionless relationship plate representing the dimensionless coefficient relationship between the evaluation parameter and the optimal reasonable liquid production; According to the first dimensionless relationship chart, the main controlling factors and the first influencing weights of the optimal reasonable liquid production of the directional well in the bottom water reservoir are determined, including: According to the first dimensionless relationship chart of the evaluation parameters, the slope of the coefficient curve obtained by fitting the evaluation parameters with the dimensionless coefficients of the optimal reasonable liquid production is calculated, and according to the slope of the coefficient curve corresponding to each evaluation parameter, the main controlling factor and the first influencing weight of the liquid production of the optimal reasonable liquid production of the directional well in the bottom water reservoir are determined.

6. The method according to claim 5, characterized in that The influencing rules are dimensionally normalized to obtain a first dimensionless relationship chart characterizing the dimensionless coefficient relationship between the evaluation parameters and the optimal reasonable liquid production, including: The liquid production corresponding to different values ​​of the evaluation parameter is divided by the optimal reasonable liquid production of the directional well in the bottom water reservoir corresponding to the evaluation parameter, so as to obtain a set of dimensionless coefficients of the optimal reasonable liquid production with values ​​ranging from 0 to 1 under the influence of the evaluation parameter; According to the dimensionless coefficient of the best reasonable liquid production with a value of 0 to 1 under the influence of the evaluation parameter, a relationship curve between the evaluation parameter and the dimensionless coefficient of the best reasonable liquid production is obtained, and the relationship curves of multiple evaluation parameters are integrated into one graph to obtain a first dimensionless relationship graph between each evaluation parameter and the best reasonable liquid production.

7. The method according to claim 1, characterized in that Also includes: Based on a pre-established numerical model of a directional well in a bottom water reservoir, the maximum production pressure difference corresponding to each evaluation parameter is predicted, and an expression of the pressure difference relationship between the evaluation parameter and the maximum production pressure difference is obtained; A second dimensionless relationship chart of the evaluation parameter and the maximum production pressure difference is established according to the pressure difference relationship expression, and a pressure difference main controlling factor and a second influencing weight of the maximum production pressure difference of a directional well in a bottom water reservoir are determined according to the second dimensionless relationship chart; The maximum production pressure difference corresponding to the evaluation parameter is weightedly summed according to the second influence weight to obtain the maximum production pressure difference of the directional well in the bottom water reservoir.

8. The method according to claim 7, characterized in that Based on the pre-established numerical model of directional wells in bottom water reservoirs, the maximum production pressure difference corresponding to each evaluation parameter is predicted, and the relationship expression between the evaluation parameter and the maximum production pressure difference is obtained, including: For each evaluation parameter: Selecting different values ​​of the evaluation parameters, inputting the different values ​​of the evaluation parameters into a pre-established numerical model, and using numerical simulation to predict the production pressure difference of a directional well in a bottom water reservoir corresponding to the different values ​​of the evaluation parameters; Based on the production pressure difference of the directional well in the bottom water reservoir corresponding to different values ​​of the evaluation parameter, a pressure difference relationship expression between the evaluation parameter and the maximum production pressure difference is generated by fitting.

9. The method according to claim 7, characterized in that A second dimensionless relationship chart of the evaluation parameter and the maximum production pressure difference is established according to the pressure difference relationship expression, including: According to the pressure difference relationship expression of the evaluation parameter, the influence law of the evaluation parameter on the production pressure difference is obtained; the influence law is dimensionally normalized to obtain a second dimensionless relationship plate representing the dimensionless coefficient relationship between the evaluation parameter and the maximum production pressure difference; According to the second dimensionless relationship chart, the main controlling factors of the pressure difference and the second influencing weight of the maximum production pressure difference of the directional well in the bottom water reservoir are determined, including: According to the second dimensionless relationship chart of the evaluation parameters, the slope of the coefficient curve obtained by fitting the evaluation parameters with the dimensionless coefficients of the maximum production pressure difference is calculated, and according to the slopes of the coefficient curves corresponding to the evaluation parameters, the pressure difference main controlling factors and the second influencing weights of the maximum production pressure difference of the directional wells in the bottom water reservoir are determined.

10. The method according to claim 9, characterized in that The influencing law is dimensionally normalized to obtain a second dimensionless relationship diagram characterizing the dimensionless coefficient relationship between the evaluation parameter and the maximum production pressure difference, including: The production differential pressure corresponding to different values ​​of the evaluation parameter is divided by the maximum production differential pressure of the directional well in the bottom water reservoir corresponding to the evaluation parameter, to obtain a set of dimensionless coefficients of the maximum production differential pressure with a value of 0 to 1 under the influence of the evaluation parameter; According to the dimensionless coefficient of the maximum production pressure difference whose value is 0 to 1 under the influence of the evaluation parameter, a relationship curve between the evaluation parameter and the dimensionless coefficient of the maximum production pressure difference is obtained, and the relationship curves of multiple evaluation parameters are integrated into one graph to obtain a second dimensionless relationship graph between each evaluation parameter and the maximum production pressure difference.

11. A device for determining the reasonable liquid production of a directional well in a bottom water reservoir, characterized in that: include: A model building module is used to build a geological model of a directional well in a bottom water reservoir according to the size of the bottom water in the directional well and the distance between the bottom water and the directional well, and to build a numerical model of the directional well in the bottom water reservoir based on the geological model; A data acquisition module is used to obtain influencing factors of the liquid production of directional wells in bottom water reservoirs, wherein the influencing factors include reservoir properties between bottom water and directional wells, fluid properties between bottom water and directional wells, and production dynamics of bottom water and adjacent wells; comprehensive evaluation parameters affecting the liquid production of directional wells in bottom water reservoirs are selected according to the influencing factors, and a comprehensive parameter evaluation set is established; A data fitting module, for predicting the optimal reasonable liquid production corresponding to each evaluation parameter based on the numerical model, and obtaining a liquid production relationship expression between the evaluation parameter and the optimal reasonable liquid production; A first dimensionless relationship chart of the evaluation parameters and the optimal reasonable liquid production is established according to the liquid production relationship expression, and a main liquid production controlling factor and a first influencing weight of the optimal reasonable liquid production of a directional well in a bottom water reservoir are determined according to the first dimensionless relationship chart; The data output module is used to perform weighted summation on the optimal reasonable liquid production corresponding to the main controlling factors of liquid production according to the first influencing weight, so as to obtain the optimal reasonable liquid production of the directional well in the bottom water reservoir.

12. The device according to claim 11, characterized in that The data fitting module is further used for: Based on a pre-established numerical model of a directional well in a bottom water reservoir, the maximum production differential pressure corresponding to each evaluation parameter is predicted to obtain a relationship expression between the evaluation parameter and the maximum production differential pressure; a second dimensionless relationship chart of the evaluation parameter and the maximum production differential pressure is established based on the pressure differential relationship expression, and a pressure differential main controlling factor and a second influencing weight of the maximum production differential pressure of a directional well in a bottom water reservoir are determined based on the second dimensionless relationship chart; The data output module is further used to perform weighted summation on the maximum production pressure differences corresponding to the evaluation parameters according to the second influence weights to obtain the maximum production pressure difference of the directional well in the bottom water reservoir.

13. A computer storage medium, characterized in that: The computer storage medium stores computer executable instructions, which, when executed by a processor, implement the method for determining the reasonable liquid production of a directional well in a bottom water reservoir as described in any one of claims 1-10.

14. A computer device, characterized in that: include: 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 method for determining the reasonable liquid production of a directional well in a bottom water reservoir as described in any one of claims 1 to 10 is implemented.

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