Method and device for predicting reasonable liquid production data of horizontal well of edge-free bottom water thin-layer oil reservoir

Abstract

The invention discloses a method and a device for predicting reasonable liquid production data of a horizontal well of a thin-layer reservoir without edge and bottom water. The method comprises the steps that influence factors of the liquid production amount and the production pressure difference of the horizontal well are obtained; selecting evaluation parameters influencing the liquid production quantity and the production pressure difference of the horizontal well, and establishing a comprehensive parameter evaluation set; on the basis of the numerical model, the optimal reasonable liquid production quantity and the maximum production pressure difference corresponding to the evaluation parameters are predicted, a relation curve of the evaluation parameters, the reasonable liquid production quantity and the production pressure difference is obtained, and a first dimensionless relation chart and a second dimensionless relation chart are established; determining a first influence weight and a second influence weight according to the dimensionless chart; and according to the influence weight, performing weighted summation on the optimal reasonable liquid production quantity and the maximum production pressure difference corresponding to the evaluation parameters to obtain the optimal reasonable liquid production quantity and the maximum production pressure difference of the horizontal well. The dynamic and static data of the oil field on-site reservoir and the horizontal well can be fully utilized, the optimal reasonable liquid production amount of the horizontal well is systematically and scientifically determined, the recovery degree is improved within a limited period, and efficient development of the oil field is achieved.

Description

Technical Field

[0001] The invention relates to the technical field of oil development, and in particular to a method and a device for predicting reasonable liquid production data of a horizontal well in a thin-layer oil reservoir with boundless bottom water. Background Art

[0002] Cluster horizontal wells have the characteristics of long wellbore length through the oil layer, large contact surface area with the oil layer, high single well production and fast production speed. Improving the liquid production of horizontal wells is one of the important measures to stabilize and increase production in oil fields. However, due to time constraints, the production pressure difference is too small and the liquid production is too low, which will make the overall recovery of the oil field in the limited contract period far lower than the final recovery rate, resulting in a waste of underground resources. The current recovery technology is to simply apply the relationship between the horizontal well production and the liquid production index and the production pressure difference to determine the oil well production system. This technology makes the recovery effect of the oil field in a limited period not ideal, and there is no scientific prediction of the reasonable liquid production data of horizontal wells in thin-layer oil reservoirs with boundless bottom water. Summary of the invention

[0003] Since the reservoirs of horizontal wells in thin-layer oil reservoirs with boundless bottom water are generally thin, when the production pressure difference is too small and the liquid production volume is too low, the overall recovery degree of the oil and gas project will be far lower than the recovery rate, resulting in a waste of underground resources. Therefore, determining a reasonable liquid production volume is very important for improving the recovery degree. Due to limited geological data and insufficient understanding of the geological characteristics of underground oil reservoirs, the existing oil well production system is determined by simply applying the relationship between horizontal well production and liquid production index and production pressure difference. It fails to comprehensively consider the geological attributes, physical parameters and development dynamics of the oil reservoir to scientifically and reasonably determine the optimal liquid production volume. Therefore, it is impossible to improve the recovery degree of the oil field and achieve water control and oil stabilization in the oil field within a limited time.

[0004] In view of the above problems, the present invention is proposed to provide a method and device for predicting reasonable liquid production data of horizontal wells in thin-layer oil reservoirs with boundless bottom water, 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 predicting reasonable liquid production data of a horizontal well in a thin layer oil reservoir with boundless bottom water, comprising:

[0006] Analyze the geological characteristics of horizontal wells in boundless bottom water thin layer reservoirs, and obtain the influencing factors of the horizontal wells in boundless bottom water thin layer reservoirs and the production pressure difference, the influencing factors include the physical properties of the thin layer reservoirs, the extension length of the horizontal section, and the formation liquid supply capacity;

[0007] Selecting evaluation parameters that affect the liquid production and production pressure difference of horizontal wells in thin-layer oil reservoirs with boundless bottom water according to the influencing factors, and establishing a comprehensive parameter evaluation set;

[0008] Based on the pre-established geological model and numerical model of the horizontal well of the boundless bottom water thin layer oil reservoir, the optimal reasonable liquid production and the maximum production pressure difference corresponding to each evaluation parameter are predicted, and the liquid production relationship curve between the evaluation parameter and the optimal reasonable liquid production, and the pressure difference relationship curve between the evaluation parameter and the maximum production pressure difference are obtained; the geological model and numerical model of the horizontal well of the boundless bottom water thin layer oil reservoir are established according to the position of the horizontal well and the length of the horizontal section;

[0009] A first dimensionless relationship chart of the evaluation parameter and the optimal reasonable liquid production volume is established according to the liquid production relationship curve, and a second dimensionless relationship chart of the evaluation parameter and the maximum production pressure difference is established according to the pressure difference relationship curve;

[0010] Determine a first influence weight of the evaluation parameter on an optimal reasonable liquid production rate according to the first dimensionless relationship plate, and determine a second influence weight of the evaluation parameter on a maximum production pressure difference according to the second dimensionless relationship plate;

[0011] The optimal reasonable liquid production volume corresponding to the evaluation parameter is weighted and summed according to the first influence weight, and the maximum production pressure difference corresponding to the evaluation parameter is weighted and summed according to the second influence weight, so as to obtain the optimal reasonable liquid production volume and maximum production pressure difference of the horizontal well in the boundless bottom water thin layer oil reservoir.

[0012] In some optional embodiments, the evaluation parameters affecting the liquid production and production pressure difference of the horizontal well in the boundless bottom water thin layer oil reservoir include:

[0013] At least one of the well spacing, horizontal section length, effective reservoir thickness, reservoir permeability, comprehensive water content, reservoir rhythmicity, and reservoir permeability variation coefficient.

[0014] In some optional embodiments, the establishment of a geological model and a numerical model of a horizontal well in a thin layer oil reservoir with boundless bottom water includes:

[0015] A geological model is established according to static parameters of a horizontal well in a thin-layer oil reservoir with boundless bottom water, a position of the horizontal well and a horizontal section length, and the geological model is meshed coarsened to obtain a numerical model of a horizontal well in a thin-layer oil reservoir with boundless bottom water;

[0016] The static parameters include: at least one of porosity, permeability, saturation, geological reserves, oil-water interface, interlayers, and well location and shape.

[0017] In some optional embodiments, the optimal reasonable liquid production volume and the maximum production pressure difference corresponding to each evaluation parameter are predicted, and a liquid production relationship curve between the evaluation parameter and the optimal reasonable liquid production volume, and a pressure difference relationship curve between the evaluation parameter and the maximum production pressure difference are 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 and production pressure difference of a horizontal well in an oil reservoir with thin layer of boundless bottom water corresponding to the different values ​​of the evaluation parameters;

[0020] Based on the liquid production of horizontal wells in boundless bottom water thin layer oil reservoirs corresponding to different values ​​of the evaluation parameters, a liquid production relationship curve between the evaluation parameters and the optimal reasonable liquid production volume is generated by fitting; based on the production pressure difference of horizontal wells in boundless bottom water thin layer oil reservoirs corresponding to different values ​​of the evaluation parameters, a pressure difference relationship curve between the evaluation parameters and the maximum production pressure difference is generated by fitting.

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

[0022] According to the liquid collection relationship curve of the evaluation parameter, the influence law of the evaluation parameter on the reasonable liquid collection volume 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 collection volume;

[0023] A second dimensionless relationship chart of the evaluation parameter and the maximum production pressure difference is established according to the pressure difference relationship curve, including:

[0024] According to the pressure difference relationship curve of the evaluation parameter, the influence law of the evaluation parameter on the production pressure difference is obtained, and 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.

[0025] In some optional embodiments, the normalizing the influencing rules includes:

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

[0027] The production differential pressures corresponding to different values ​​of the evaluation parameters are divided by the maximum production differential pressures of horizontal wells in thin-layer oil reservoirs with boundless bottom water corresponding to the evaluation parameters, to obtain a set of dimensionless coefficients of maximum production differential pressures with values ​​ranging from 0 to 1 under the influence of the evaluation parameters.

[0028] In some optional embodiments, obtaining a first dimensionless relationship plate characterizing the dimensionless coefficient relationship between the evaluation parameter and the optimal reasonable liquid production volume includes:

[0029] According to the dimensionless coefficient of the optimal reasonable liquid production volume 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 optimal reasonable liquid production volume is obtained, and the relationship curves of multiple evaluation parameters are integrated into one graph to obtain a first dimensionless relationship graph of each evaluation parameter and the optimal reasonable liquid production volume;

[0030] A second dimensionless relationship diagram characterizing the dimensionless coefficient relationship between the evaluation parameter and the maximum production pressure difference is obtained, including:

[0031] 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.

[0032] In some optional embodiments, determining the first influence weight of the evaluation parameter on the optimal reasonable liquid extraction volume according to the first dimensionless relationship plate includes:

[0033] According to the first dimensionless relationship plate 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 factors and the first influencing weights of the optimal reasonable liquid production of horizontal wells in thin-layer oil reservoirs with boundless bottom water are determined.

[0034] Determining a second influence weight of the evaluation parameter on the maximum production pressure difference according to the second dimensionless relationship plate includes:

[0035] According to the second dimensionless relationship plate of the evaluation parameters, the slope of the coefficient curve obtained by fitting the evaluation parameters with the dimensionless coefficient of the maximum production pressure difference is calculated, and according to the slope of the coefficient curve corresponding to each evaluation parameter, the main controlling factors and the second influencing weights of the optimal reasonable liquid production of horizontal wells in thin-layer oil reservoirs with boundless bottom water are determined.

[0036] In a second aspect, an embodiment of the present invention provides a device for predicting reasonable liquid production data of a horizontal well in a thin layer oil reservoir with boundless bottom water, comprising:

[0037] A data acquisition module is used to obtain the influencing factors of the liquid production and production pressure difference of the horizontal wells in the boundless bottom water thin layer oil reservoir, wherein the influencing factors include the physical properties of the thin layer oil reservoir, the extension length of the horizontal section, and the liquid supply capacity of the formation. According to the geological influencing factors, the evaluation parameters affecting the liquid production and production pressure difference of the horizontal wells in the boundless bottom water thin layer oil reservoir are selected to establish a comprehensive parameter evaluation set;

[0038] Model building module, used to construct geological model and numerical model of horizontal wells in thin-layer reservoirs with boundless bottom water according to the location of horizontal wells and the length of horizontal sections;

[0039] A prediction module is used to predict the optimal reasonable liquid production and the maximum production pressure difference corresponding to each evaluation parameter based on a pre-established geological model and numerical model of a horizontal well in an oil reservoir with thin layer of boundless bottom water, and obtain a liquid production relationship curve between the evaluation parameter and the optimal reasonable liquid production, and a pressure difference relationship curve between the evaluation parameter and the maximum production pressure difference; the geological model and numerical model of the horizontal well in the oil reservoir with thin layer of boundless bottom water are established according to the position of the horizontal well and the length of the horizontal section;

[0040] A data fitting module is used to establish a first dimensionless relationship diagram between the evaluation parameter and the optimal reasonable liquid production volume according to the liquid production relationship curve, and determine a first influence weight of the evaluation parameter on the optimal reasonable liquid production volume according to the first dimensionless relationship diagram; establish a second dimensionless relationship diagram between the evaluation parameter and the maximum production pressure difference according to the pressure difference relationship curve, and determine a second influence weight of the evaluation parameter on the maximum production pressure difference according to the second dimensionless relationship diagram;

[0041] The data output module is used to perform weighted summation of the optimal reasonable liquid production corresponding to the evaluation parameters according to the first influence weight, and to perform weighted summation of the maximum production pressure difference corresponding to the evaluation parameters according to the second influence weight, so as to obtain the optimal reasonable liquid production and maximum production pressure difference of the horizontal well in the thin layer oil reservoir with boundless bottom water.

[0042] An embodiment of the present invention provides a computer storage medium, characterized in that the computer storage medium stores computer executable instructions, and when the computer executable instructions are executed by a processor, the above-mentioned method for predicting reasonable liquid production data of horizontal wells in thin-layer oil reservoirs with boundless bottom water is implemented.

[0043] An embodiment of the present invention provides a computer device, characterized in that it includes: 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 above-mentioned method for predicting reasonable liquid production data for horizontal wells in thin-layer oil reservoirs with boundless bottom water is implemented.

[0044] The beneficial effects of the above technical solution provided by the embodiment of the present invention include at least:

[0045] The method and device for predicting the reasonable liquid production of horizontal wells in boundless bottom water thin-layer oil reservoirs provided by the embodiment of the present invention make full use of the dynamic and static data of the oil field on-site reservoir and horizontal wells, and determine the evaluation parameters that affect the reasonable liquid production and the maximum production pressure difference of the target well by analyzing the geological characteristics and production dynamics of the horizontal wells in boundless bottom water thin-layer oil reservoirs, and determine the degree of influence of the evaluation parameters on the reasonable liquid production and the maximum production pressure difference based on numerical simulation, and assign influence weights to each evaluation parameter, and finally determine the optimal reasonable liquid production and the maximum production pressure difference according to the influence weights to guide on-site production. The method systematically and scientifically determines the optimal reasonable liquid production and the maximum production pressure difference of horizontal wells in boundless bottom water thin-layer oil reservoirs, which provides important guidance for improving the degree of recovery and realizing the efficient development of oil fields within a limited period of time, makes outstanding contributions to the stable production of oil field benefits, and supports the sustainable and efficient development of projects.

[0046] 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.

[0047] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] 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:

[0049] Figure 1 Flow chart of a method for predicting reasonable liquid production of a horizontal well in a thin layer oil reservoir with boundless bottom water according to an embodiment of the present invention;

[0050] Figure 2 It is a principle framework diagram of a method for determining a reasonable liquid production volume of a directional well in a bottom water reservoir according to an embodiment of the present invention;

[0051] Figure 3a This is a geological model diagram of a horizontal well in a thin layer oil reservoir with no bottom water in an embodiment of the present invention;

[0052] Figure 3b This is a numerical model diagram of a horizontal well in a thin layer oil reservoir with boundless bottom water according to an embodiment of the present invention;

[0053] Figure 4 It is a curve diagram showing the relationship between the horizontal section length, the optimal reasonable liquid production volume and the maximum production pressure difference in the embodiment of the present invention;

[0054] Figure 5 The graph is a relationship curve between the comprehensive water content, the optimal reasonable liquid production volume and the maximum production pressure difference in the embodiment of the present invention;

[0055] Figure 6 It is a first dimensionless relationship chart of the evaluation parameters and the optimal reasonable liquid extraction volume in the embodiment of the present invention;

[0056] Figure 7 A second dimensionless relationship diagram of the evaluation parameters and the maximum production pressure difference in the embodiment of the present invention;

[0057] Figure 8 This is a diagram of a device for predicting reasonable liquid production data for a horizontal well in a thin layer oil reservoir with boundless bottom water in an embodiment of the present invention. DETAILED DESCRIPTION

[0058] 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 in order 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.

[0059] In order to solve the problem of improving the degree of recovery and achieving stable production and increased production of oil fields by determining the optimal reasonable liquid production volume when the overall recovery degree of oil fields is far lower than the recovery factor within a limited period, the embodiment of the present invention provides a method for predicting the reasonable liquid production volume of horizontal wells in thin-layer oil reservoirs with boundless bottom water. The method makes full use of the dynamic and static data of the oil field reservoir and horizontal wells, comprehensively, systematically and scientifically determines the optimal reasonable liquid production volume of horizontal wells, thereby improving the degree of recovery and achieving stable production and increased production of oil fields.

[0060] Embodiment 1

[0061] Embodiment 1 of the present invention provides a method for predicting the reasonable liquid production of a horizontal well in a thin layer oil reservoir with no bottom water, and the process is as follows: Figure 1 As shown, the implementation principle can be found in Figure 2 As shown, the following steps are included:

[0062] Step S101: Obtain the factors affecting the liquid production and production pressure difference of the horizontal well in the thin layer oil reservoir with boundless bottom water.

[0063] The production pressure difference is an important influencing factor in the development process of horizontal wells in thin-layer oil reservoirs with boundless bottom water. Reasonable optimal liquid production and maximum production pressure difference are very important for the rational development of horizontal wells in thin-layer oil reservoirs with boundless bottom water. Therefore, in this application, the focus is on the reasonable prediction and determination of liquid production and production pressure difference in order to better realize the reasonable production of horizontal well oil reservoirs.

[0064] By analyzing the geological characteristics of horizontal wells in boundless bottom water thin layer reservoirs, the factors affecting the liquid production and production pressure difference of horizontal wells in boundless bottom water thin layer reservoirs are obtained, among which the influencing factors include the physical properties of thin layer reservoirs, the extension length of the horizontal section, and the liquid supply capacity of the formation.

[0065] Step S102: selecting evaluation parameters that affect the liquid production and production pressure difference of horizontal wells in thin-layer oil reservoirs with boundless bottom water according to influencing factors, and establishing a comprehensive parameter evaluation set.

[0066] For the development of horizontal wells in thin-layer reservoirs with boundless bottom water, it is necessary to avoid formation pressure deficit caused by excessive liquid production, while the formation energy cannot be replenished in time, which leads to overall production loss of horizontal wells. There are many factors that affect the liquid production and production pressure difference of horizontal wells in thin-layer reservoirs with boundless bottom water, including the physical properties of thin-layer reservoirs, the extension length of the horizontal section, the liquid supply capacity of the formation, etc. After comprehensively considering the geological characteristics of the reservoir, appropriate parameters are selected as evaluation parameters affecting the reasonable liquid production and production pressure difference of horizontal wells in thin-layer reservoirs with boundless bottom water, and a comprehensive evaluation parameter set is established. For example, a comprehensive evaluation parameter set U is established, where U = {U1, U2, …, U n},U n Represents the nth parameter in the comprehensive evaluation parameter set U.

[0067] The evaluation parameters affecting the reasonable liquid production and production pressure difference of horizontal wells in boundless bottom water thin layer oil reservoirs include at least one of the well spacing, horizontal section length, reservoir effective thickness, reservoir permeability, comprehensive water content, reservoir rhythmicity, and reservoir permeability variation coefficient.

[0068] Step S103: Based on the pre-established numerical model of the horizontal well in the boundless bottom water thin layer oil reservoir, the optimal reasonable liquid production and the maximum production pressure difference corresponding to each evaluation parameter are predicted, and the liquid production relationship curve between the evaluation parameter and the optimal reasonable liquid production, and the pressure difference relationship curve between the evaluation parameter and the maximum production pressure difference are obtained. The geological model and numerical model of the horizontal well in the boundless bottom water thin layer oil reservoir are established according to the position of the horizontal well and the length of the horizontal section.

[0069] The reservoirs of horizontal wells in thin-layer oil reservoirs with boundless bottom water are generally thin, which is a typical thin-layer oil reservoir. Horizontal well development for this type of oil reservoir has more advantages than vertical well development. Combined with the geological reservoir characteristics of thin-layer oil reservoirs, a set of geological models and numerical models that characterize the development of horizontal wells in thin-layer oil reservoirs are established. According to the static parameters of horizontal wells in thin-layer oil reservoirs with boundless bottom water, the location of horizontal wells and the length of horizontal sections, a geological model is established, and the geological model is coarsened to obtain a numerical model of horizontal wells in thin-layer oil reservoirs with boundless bottom water. When establishing a geological model of a horizontal well, it can be constructed for each single well. An example of a horizontal well geological model is as follows: Figure 3a An example of a numerical model is shown in Figure 3b shown.

[0070] The parameters to be considered for modeling can be selected as needed. For example, static parameters can include: porosity, permeability, saturation, geological reserves, oil-water interface, interlayers, and at least one of the location and shape of the well.

[0071] Based on the numerical simulation method, the influence of a single influencing factor on the liquid production and production pressure difference of horizontal wells in boundless bottom water thin layer oil reservoirs is analyzed. For each evaluation parameter in the comprehensive evaluation parameter set: different values ​​of the evaluation parameters are selected and input into the pre-established numerical model, and numerical simulation is used to predict the liquid production and production pressure difference corresponding to different values. Based on the liquid production corresponding to different values ​​of the above evaluation parameters, the liquid production relationship curves between each evaluation parameter and the optimal reasonable liquid production are fitted and generated, and based on the production pressure difference of horizontal wells in boundless bottom water thin layer oil reservoirs corresponding to different values ​​of the evaluation parameters, the pressure difference relationship curves between each evaluation parameter and the maximum production pressure difference are fitted and generated.

[0072] Optionally, taking the horizontal segment length as an example, the specific method of fitting and generating the relationship curve between the horizontal segment length and the optimal reasonable liquid collection volume is:

[0073] (1) Select different horizontal segment lengths respectively;

[0074] (2) Inputting the values ​​of different horizontal section lengths into the pre-established numerical model, and using the numerical simulation method, predicting the liquid production of the horizontal well in the thin layer oil reservoir with boundless bottom water corresponding to different horizontal section lengths;

[0075] (3) Based on the results of numerical simulation, a curve showing the relationship between the horizontal section length and the optimal reasonable liquid production rate of a horizontal well in a thin layer oil reservoir with boundless bottom water is fitted and generated.

[0076] By analogy, the relationship curves between each evaluation parameter and the optimal and reasonable liquid collection volume can be obtained respectively.

[0077] For the relationship curve between the horizontal section length and the optimal reasonable liquid production of a horizontal well in a thin layer oil reservoir with boundless bottom water, see Figure 4 As shown, multiple different horizontal segment lengths are selected and input into the numerical model to predict the liquid production volume corresponding to each horizontal segment length, and the corresponding relationship between the above different horizontal segment lengths and the liquid production volume is integrated into a two-dimensional coordinate diagram, with the horizontal segment length represented by the horizontal axis and the liquid production volume represented by the vertical axis on the right. Finally, a liquid production relationship curve between the horizontal segment length and the optimal reasonable liquid production volume is generated by fitting.

[0078] Optionally, taking the horizontal section length as an example, the specific steps for fitting and generating a pressure difference relationship curve between the horizontal section length and the maximum production pressure difference are as follows:

[0079] (1) Select different horizontal segment lengths respectively;

[0080] (2) Inputting the values ​​of different horizontal section lengths into the pre-established numerical model, and using the numerical simulation method, predicting the production pressure difference of the horizontal well in the thin layer oil reservoir with boundless bottom water corresponding to different horizontal section lengths;

[0081] (3) Based on the results of numerical simulation, a pressure difference curve is fitted to generate the relationship between the horizontal section length and the maximum production pressure difference of a horizontal well in a thin layer oil reservoir with boundless bottom water.

[0082] By analogy, the pressure difference relationship curves between each evaluation parameter and the maximum production pressure difference can be obtained respectively.

[0083] For the relationship curve between the horizontal section length and the maximum production pressure difference of a horizontal well in an oil reservoir with thin layers of boundless bottom water, see Figure 4 As shown in the figure, multiple horizontal section lengths with different lengths are selected and input into the numerical model to predict the production pressure difference corresponding to each horizontal section length. The corresponding relationship between the above different horizontal section lengths and the production pressure difference is integrated into a two-dimensional coordinate diagram. The horizontal section length is represented by the horizontal axis, and the production pressure difference is represented by the vertical axis on the left. Finally, the pressure difference relationship curve between the horizontal section length and the maximum production pressure difference is generated by fitting.

[0084] Optionally, taking the comprehensive water content as an example, the specific method for obtaining the relationship curve between the comprehensive water content and the optimal reasonable liquid collection volume is as follows:

[0085] (1) Select different proportions of comprehensive water content;

[0086] (2) Inputting the values ​​of the comprehensive water content at different ratios into the pre-established numerical model, and using the numerical simulation method, predicting the liquid production of the horizontal well in the thin layer oil reservoir with boundless bottom water corresponding to the water content at different ratios;

[0087] (3) Based on the results of numerical simulation, a curve of the relationship between the comprehensive water content and the optimal reasonable liquid production rate of horizontal wells in thin-layer oil reservoirs with boundless bottom water is fitted and generated.

[0088] By analogy, the relationship curves between each evaluation parameter and the optimal and reasonable liquid collection volume can be obtained respectively.

[0089] The relationship curve between the comprehensive water content and the optimal reasonable liquid production rate of horizontal wells in thin-layer oil reservoirs with boundless bottom water can be found in Figure 5 As shown, multiple comprehensive water contents of different proportions are selected and input into the numerical model to predict the liquid production volume corresponding to each water content proportion. The corresponding relationship between the above-mentioned water contents of different proportions and the liquid production volume is integrated into a two-dimensional coordinate diagram, with the horizontal axis representing the water content and the vertical axis on the left representing the liquid production volume. Finally, a liquid production relationship curve between the comprehensive water content and the optimal reasonable liquid production volume is generated by fitting.

[0090] Optionally, taking the comprehensive water content as an example, the specific method for obtaining the pressure difference relationship curve between the comprehensive water content and the maximum production pressure difference is:

[0091] (1) Select different proportions of comprehensive water content;

[0092] (2) Inputting the values ​​of the comprehensive water content at different ratios into the pre-established numerical model, and using the numerical simulation method, predicting the production pressure difference of the horizontal well in the thin layer oil reservoir with boundless bottom water corresponding to the water content at different ratios;

[0093] (3) Based on the results of numerical simulation, the pressure difference relationship curve between the comprehensive water content and the maximum production pressure difference of the horizontal well in the thin layer oil reservoir with boundless bottom water is obtained.

[0094] By analogy, the pressure difference relationship curves between each evaluation parameter and the maximum production pressure difference can be obtained respectively.

[0095] The pressure difference curve of the comprehensive water content and the maximum production pressure difference of horizontal wells in thin-layer oil reservoirs with boundless bottom water can be found in Figure 5 As shown in the figure, multiple comprehensive water contents of different proportions are selected and input into the numerical model to predict the production pressure difference corresponding to each water content proportion. The corresponding relationship between the above-mentioned water contents of different proportions and the production pressure difference is integrated into a two-dimensional coordinate diagram, with the horizontal axis representing the water content and the vertical axis on the right representing the production pressure difference. Finally, a pressure difference relationship curve between the comprehensive water content and the maximum production pressure difference is generated by fitting.

[0096] Step S104: establishing a first dimensionless relationship chart of the evaluation parameter and the optimal reasonable liquid production volume according to the liquid production relationship curve, and establishing a second dimensionless relationship chart of the evaluation parameter and the maximum production pressure difference according to the pressure difference relationship curve.

[0097] After determining the relationship curve between each evaluation parameter and the reasonable liquid production, the factors affecting the reasonable liquid production and their influence weights can be further clarified; after determining the relationship curve between each evaluation parameter and the production pressure difference, the factors affecting the production pressure difference and their influence weights can be further clarified. The influence of multiple influencing factors on the liquid production and production pressure difference of horizontal wells in thin-layer oil reservoirs with boundless bottom water is analyzed to form a dimensionless relationship chart between each factor and the reasonable liquid production and production pressure difference.

[0098] According to the liquid collection relationship curve of the evaluation parameter generated by fitting in step S103, the influence law of the evaluation parameter on the reasonable liquid collection volume is obtained, and the influence law is dimensionlessly normalized to obtain a first dimensionless relationship plate representing the dimensionless coefficient relationship between the evaluation parameter and the optimal reasonable liquid collection volume.

[0099] Optionally, the process of performing dimensionless normalization processing on the influence of the evaluation parameter on the reasonable liquid extraction volume to obtain a first dimensionless relationship plate representing the dimensionless coefficient relationship between the evaluation parameter and the optimal reasonable liquid extraction volume includes:

[0100] The liquid production corresponding to different values ​​of the evaluation parameters is divided by the optimal reasonable liquid production of the horizontal well in the thin layer oil reservoir with boundless bottom water corresponding to the evaluation parameter, 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.

[0101] According to the dimensionless coefficient of the best reasonable liquid production volume with a value of 0 to 1 under the influence of the evaluation parameters, the relationship curve between the evaluation parameters and the dimensionless coefficient of the best reasonable liquid production volume is fitted, 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 volume.

[0102] The first dimensionless relationship diagram of each evaluation parameter and the optimal reasonable liquid extraction volume can be found in Figure 6 As shown, the relationship curve between the evaluation parameter and the dimensionless coefficient of the optimal reasonable liquid production volume 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 liquid production volume. The relationship curves between multiple evaluation parameters and the dimensionless coefficient of the optimal reasonable liquid production volume are integrated into one graph, and the first dimensionless relationship graph between each evaluation parameter and the optimal reasonable liquid production volume is obtained; Figure 6 The relationship curves of the vertical coefficient of variation, comprehensive water content, horizontal section length, well spacing, effective reservoir thickness and the dimensionless coefficient of the optimal reasonable liquid production were fitted, and the above curves were integrated into one graph to obtain the first dimensionless relationship plate representing the relationship between the evaluation parameters and the dimensionless coefficient of the optimal reasonable liquid production. Figure 6 The longitudinal coefficient of variation is the coefficient of variation of reservoir permeability.

[0103] The above-mentioned single influencing factor refers to a single evaluation parameter in the comprehensive evaluation parameter set that affects the reasonable liquid production of directional wells in oil reservoirs with bottom water.

[0104] According to the pressure difference relationship curve of the evaluation parameter generated by fitting in step S103, the influence law of the evaluation parameter on the production pressure difference is obtained, and the influence law is subjected to dimensionless normalization processing to obtain a second dimensionless relationship plate representing the dimensionless coefficient relationship between the evaluation parameter and the maximum production pressure difference.

[0105] Optionally, the process of performing dimensionless normalization processing on the influence of the evaluation parameter on the production differential pressure to obtain a second dimensionless relationship plate representing the dimensionless coefficient relationship between the evaluation parameter and the maximum production differential pressure includes:

[0106] The production differential pressure corresponding to different values ​​of the evaluation parameters is divided by the maximum production differential pressure of the horizontal well in the thin layer oil reservoir with boundless bottom water 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.

[0107] According to the dimensionless coefficient of the maximum production pressure difference 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 maximum production pressure difference is obtained by fitting, 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.

[0108] The second dimensionless relationship diagram of each evaluation parameter and the maximum production pressure difference can be found in Figure 7 As 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 production pressure difference. The relationship curves between multiple evaluation parameters and the dimensionless coefficient of the optimal reasonable liquid production volume are integrated into one graph, and the second dimensionless relationship graph between each evaluation parameter and the maximum production pressure difference is obtained; Figure 6 The relationship curves of the vertical coefficient of variation, comprehensive water content, horizontal section length, well spacing, effective reservoir thickness and the dimensionless coefficient of the maximum production pressure difference are fitted in the figure. The above curves are integrated into one figure to obtain the second dimensionless relationship plate representing the relationship between the dimensionless coefficient of the evaluation parameters and the maximum production pressure difference. Figure 6 The longitudinal coefficient of variation is the coefficient of variation of reservoir permeability.

[0109] 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.

[0110] Following the example of comprehensive water content above, the influence of different proportions of comprehensive water content on the reasonable liquid extraction volume is dimensionlessly normalized. The specific method is: the liquid extraction volume values ​​corresponding to different proportions of comprehensive water content are divided by the maximum reasonable liquid extraction volume value on the comprehensive water content relationship expression curve to obtain the optimal reasonable liquid extraction volume dimensionless coefficient corresponding to different proportions of comprehensive water content, and then obtain the relationship curve between comprehensive water content and the optimal reasonable liquid extraction volume dimensionless coefficient. By analogy, the relationship curve between different evaluation parameters and the optimal reasonable liquid extraction volume dimensionless coefficient is obtained.

[0111] Following the example of comprehensive water content above, the influence of different proportions of comprehensive water content on production pressure difference is dimensionlessly normalized. Specifically, the production pressure difference corresponding to different proportions of comprehensive water content is divided by the maximum production pressure difference value on the comprehensive water content relationship expression curve to obtain the dimensionless coefficient of the maximum production pressure difference corresponding to different proportions of comprehensive water content, and then obtain the relationship curve between comprehensive water content and the dimensionless coefficient of the maximum production pressure difference. By analogy, the relationship curve between different evaluation parameters and the dimensionless coefficient of the maximum production pressure difference is obtained.

[0112] Step S105: determining a first influence weight of the evaluation parameter on the optimal reasonable liquid production rate according to the first dimensionless relationship plate, and determining a second influence weight of the evaluation parameter on the maximum production pressure difference according to the second dimensionless relationship plate.

[0113] Optionally, determining a first influence weight of the evaluation parameter on the optimal reasonable liquid extraction volume according to the first dimensionless relationship plate includes:

[0114] According to the first dimensionless relationship plate characterizing the dimensionless coefficient relationship between the evaluation parameters and the optimal reasonable liquid production obtained in step S104, the slope of the coefficient curve obtained by fitting the dimensionless coefficient of each evaluation parameter with the optimal reasonable liquid production is calculated. The slope of the curve represents the degree of influence. The greater the absolute value of the slope, the greater the degree of influence, and the smaller the absolute value of the slope, the smaller the degree of influence. According to the slope of the coefficient curve corresponding to each evaluation parameter, the first influence weight of the horizontal well evaluation parameter on the optimal reasonable liquid production in the thin layer oil reservoir with boundless bottom water is determined.

[0115] See also Figure 6 As shown in the figure, 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 volume are calculated respectively. According to the size of the slope of the curve, the first influence weight of each evaluation parameter is determined. The first influence weights are as follows from large to small: comprehensive water content, well spacing, horizontal section length, effective reservoir thickness, and reservoir permeability variation coefficient. Figure 7 The longitudinal coefficient of variation is the coefficient of variation of reservoir permeability.

[0116] Optionally, determining a second influence weight of the evaluation parameter on the maximum production pressure difference according to the second dimensionless relationship plate includes:

[0117] According to the second dimensionless relationship plate representing the dimensionless coefficient relationship between the evaluation parameter and the maximum production pressure difference obtained in step S104, the slope of the coefficient curve obtained by fitting the dimensionless coefficient of each evaluation parameter and the maximum production pressure difference is calculated. The slope of the curve represents the degree of influence. The greater the absolute value of the slope, the greater the degree of influence, and the smaller the absolute value of the slope, the smaller the degree of influence. According to the slope of the coefficient curve corresponding to each evaluation parameter, the second influence weight of the evaluation parameter of the horizontal well in the boundless bottom water thin layer oil reservoir on the maximum production pressure difference is determined.

[0118] See also Figure 7 As shown in the figure, according to the second 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 second influence weight of each evaluation parameter is determined. The second influence weights are as follows from large to small: comprehensive water content, well spacing, reservoir permeability, reservoir permeability variation coefficient, reservoir effective thickness, horizontal section length, Figure 7 The longitudinal coefficient of variation is the coefficient of variation of reservoir permeability.

[0119] In this step, when determining the degree of influence on the optimal reasonable liquid production volume and the maximum production pressure difference, all evaluation parameters in the comprehensive evaluation parameter set can be considered and the corresponding influence weights can be determined, see Figure 2 As shown, the main control factors affecting the reasonable liquid production volume and the corresponding first influence weights can also be found from the evaluation parameters in the comprehensive evaluation parameter set, and the main control factors affecting the maximum production pressure difference and the corresponding second influence weights can be found from the evaluation parameters in the comprehensive evaluation parameter set, or the comprehensive main control factors and comprehensive influence weights affecting the reasonable liquid production volume and the maximum production pressure difference can be found. When predicting the reasonable liquid production volume and production pressure difference in the future, the prediction is based on the main control factors, and the non-main control factors can be ignored.

[0120] Step S106: Perform weighted summation of the optimal reasonable liquid production corresponding to the evaluation parameters according to the first influence weight, and perform weighted summation of the maximum production pressure difference corresponding to the evaluation parameters according to the second influence weight, to obtain the optimal reasonable liquid production and maximum production pressure difference of the horizontal well in the boundless bottom water thin layer oil reservoir.

[0121] According to the influence weights of the evaluation parameters determined in step S105, the optimal reasonable liquid production under the influence of single factors such as water content, well spacing, horizontal section length, effective reservoir thickness, etc. and the influence weights corresponding to the influencing factors are weighted summed. At the same time, the maximum production pressure difference under the influence of single factors such as water content, well spacing, reservoir permeability, reservoir heterogeneity, effective reservoir thickness, horizontal section length, etc. are weighted summed with the influence weights corresponding to the influencing factors. The maximum reasonable liquid production and the maximum reasonable production pressure difference of the horizontal wells in the boundless bottom water thin layer oil reservoir can be obtained respectively to guide the field production.

[0122] When calculating the optimal reasonable liquid production of a horizontal well in a thin layer oil reservoir with boundless bottom water, all evaluation parameters in the comprehensive evaluation parameter set can be considered, and the optimal reasonable liquid production corresponding to each evaluation parameter is multiplied by the corresponding first influence weight, and then the products of different evaluation parameters and influence weights are summed to obtain the optimal reasonable liquid production of a horizontal well in a thin layer oil reservoir with boundless bottom water. Optionally, if the main controlling factor of liquid production is determined, the optimal reasonable liquid production corresponding to the main controlling factor of liquid production is multiplied by the corresponding first influence weight, and then the products of different main controlling factors and influence weights are summed to obtain the optimal reasonable liquid production of a horizontal well in a thin layer oil reservoir with boundless bottom water.

[0123] When calculating the maximum production pressure difference of a horizontal well in a thin layer oil reservoir with boundless bottom water, all evaluation parameters in the comprehensive evaluation parameter set can be considered, and the maximum production pressure difference corresponding to each evaluation parameter is multiplied by the corresponding first influence weight, and then the products of different evaluation parameters and influence weights are summed to obtain the maximum production pressure difference of a horizontal well in a thin layer oil reservoir with boundless bottom water. Optionally, if the main controlling factor of the pressure difference is determined, the maximum production pressure difference corresponding to the main controlling factor of the pressure difference is multiplied by the corresponding first influence weight, and then the products of different main controlling factors and influence weights are summed to obtain the maximum production pressure difference of a horizontal well in a thin layer oil reservoir with boundless bottom water.

[0124] If the above determinations are the comprehensive main controlling factors and comprehensive influence weights that affect the reasonable liquid production volume and the maximum production pressure difference, then the main controlling factors for liquid production and the main controlling factors for pressure difference are both comprehensive main controlling factors.

[0125] The above method provided by the embodiment of the present invention determines the main controlling factors and their influence weights that affect the optimal reasonable liquid production volume and the maximum production pressure difference of the horizontal well by analyzing the reservoir geological reservoir characteristics and actual production dynamics of the target oil field, and finally determines the optimal reasonable liquid production volume and the maximum production pressure difference of the horizontal well. This reasonable liquid production data prediction method is of great significance for improving the target well production degree and realizing the efficient development of the oil field when the production pressure difference is too small, the liquid production volume is too low, and time is limited.

[0126] Based on the same inventive concept, the embodiment of the present invention also provides a device for predicting reasonable liquid production data of horizontal wells in thin-layer oil reservoirs with boundless bottom water. The structure of the device is as follows: Figure 8 As shown, including:

[0127] Data acquisition module 1 is used to obtain the influencing factors of the liquid production and production pressure difference of the horizontal wells in the boundless bottom water thin layer oil reservoir, the influencing factors include the physical properties of the thin layer oil reservoir, the extension length of the horizontal section, and the formation liquid supply capacity, and select the evaluation parameters that affect the liquid production and production pressure difference of the horizontal wells in the boundless bottom water thin layer oil reservoir according to the geological influencing factors, and establish a comprehensive parameter evaluation set;

[0128] Model building module 2, used to construct a geological model and a numerical model of a horizontal well in a thin layer oil reservoir with boundless bottom water according to the location of the horizontal well and the length of the horizontal section;

[0129] Prediction module 3 is used to predict the optimal reasonable liquid production and maximum production pressure difference corresponding to each evaluation parameter based on the pre-established geological model and numerical model of the horizontal well in the boundless bottom water thin layer oil reservoir, and obtain the liquid production relationship curve between the evaluation parameter and the optimal reasonable liquid production, and the pressure difference relationship curve between the evaluation parameter and the maximum production pressure difference; the geological model and numerical model of the horizontal well in the boundless bottom water thin layer oil reservoir are established according to the position of the horizontal well and the length of the horizontal section;

[0130] A data fitting module 4 is used to establish a first dimensionless relationship diagram between the evaluation parameter and the optimal reasonable liquid production volume according to the liquid production relationship curve, and determine a first influence weight of the evaluation parameter on the optimal reasonable liquid production volume according to the first dimensionless relationship diagram; establish a second dimensionless relationship diagram between the evaluation parameter and the maximum production pressure difference according to the pressure difference relationship curve, and determine a second influence weight of the evaluation parameter on the maximum production pressure difference according to the second dimensionless relationship diagram;

[0131] Data output module 5 is used to perform weighted summation of the optimal reasonable liquid production corresponding to the evaluation parameters according to the first influence weight, and to perform weighted summation of the maximum production pressure difference corresponding to the evaluation parameters according to the second influence weight, so as to obtain the optimal reasonable liquid production and maximum production pressure difference of the horizontal well in the thin layer oil reservoir with boundless bottom water.

[0132] An 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 predicting reasonable liquid production data of horizontal wells in thin-layer oil reservoirs with boundless bottom water is implemented.

[0133] A computer device comprises: 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 predicting reasonable liquid production data of horizontal wells in thin-layer oil reservoirs with boundless bottom water is realized.

[0134] Regarding the device for predicting reasonable liquid production data for horizontal wells in thin-layer oil reservoirs with boundless bottom water 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.

[0135] The above-mentioned method and device of the embodiment of the present invention make full use of the dynamic and static data of the on-site reservoir and horizontal wells of the oil field, and systematically and scientifically determine the optimal reasonable liquid production volume and maximum production pressure difference of the horizontal wells in the thin layer oil reservoir with boundless bottom water. It provides important guidance for improving the recovery degree and realizing the efficient development of the oil field within a limited period of time, makes outstanding contributions to the stable production of the oil field, and supports the sustainable and efficient development of the project.

[0136] 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.

[0137] 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.

[0138] 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.

[0139] 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.

[0140] 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.

[0141] 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.

[0142] 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 predicting reasonable liquid production data of horizontal wells in thin-layer oil reservoirs with boundless bottom water, characterized in that: include: Analyze the geological characteristics of horizontal wells in boundless bottom water thin layer reservoirs, and obtain the influencing factors of the horizontal wells in boundless bottom water thin layer reservoirs and the production pressure difference, the influencing factors include the physical properties of the thin layer reservoirs, the extension length of the horizontal section, and the formation liquid supply capacity; Selecting evaluation parameters that affect the liquid production and production pressure difference of horizontal wells in thin-layer oil reservoirs with boundless bottom water according to the influencing factors, and establishing a comprehensive parameter evaluation set; Based on the pre-established geological model and numerical model of the horizontal well of the boundless bottom water thin layer oil reservoir, the optimal reasonable liquid production and the maximum production pressure difference corresponding to each evaluation parameter are predicted, and the liquid production relationship curve between the evaluation parameter and the optimal reasonable liquid production, and the pressure difference relationship curve between the evaluation parameter and the maximum production pressure difference are obtained; the geological model and numerical model of the horizontal well of the boundless bottom water thin layer oil reservoir are established according to the position of the horizontal well and the length of the horizontal section; A first dimensionless relationship chart of the evaluation parameter and the optimal reasonable liquid production volume is established according to the liquid production relationship curve, and a second dimensionless relationship chart of the evaluation parameter and the maximum production pressure difference is established according to the pressure difference relationship curve; Determine a first influence weight of the evaluation parameter on an optimal reasonable liquid production rate according to the first dimensionless relationship plate, and determine a second influence weight of the evaluation parameter on a maximum production pressure difference according to the second dimensionless relationship plate; The optimal reasonable liquid production volume corresponding to the evaluation parameter is weighted and summed according to the first influence weight, and the maximum production pressure difference corresponding to the evaluation parameter is weighted and summed according to the second influence weight, so as to obtain the optimal reasonable liquid production volume and maximum production pressure difference of the horizontal well in the boundless bottom water thin layer oil reservoir.

2. The method according to claim 1, characterized in that The evaluation parameters affecting the liquid production and production pressure difference of the horizontal well in the boundless bottom water thin layer oil reservoir include: At least one of the well spacing, horizontal section length, effective reservoir thickness, reservoir permeability, comprehensive water content, reservoir rhythmicity, and reservoir permeability variation coefficient.

3. The method according to claim 1, characterized in that The geological model and numerical model of horizontal wells in thin-layer oil reservoirs with boundless bottom water are established, including: A geological model is established according to static parameters of a horizontal well in a thin-layer oil reservoir with boundless bottom water, a position of the horizontal well and a horizontal section length, and the geological model is meshed coarsened to obtain a numerical model of a horizontal well in a thin-layer oil reservoir with boundless bottom water; The static parameters include: at least one of porosity, permeability, saturation, geological reserves, oil-water interface, interlayers, and well location and shape.

4. The method according to claim 1, characterized in that Predicting the optimal reasonable liquid production volume and the maximum production pressure difference corresponding to each evaluation parameter, obtaining a liquid production relationship curve between the evaluation parameter and the optimal reasonable liquid production volume, and a pressure difference relationship curve between the evaluation parameter and the maximum production pressure difference, 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 and production pressure difference of a horizontal well in an oil reservoir with thin layer of boundless bottom water corresponding to the different values ​​of the evaluation parameters; Based on the liquid production of horizontal wells in boundless bottom water thin layer oil reservoirs corresponding to different values ​​of the evaluation parameters, a liquid production relationship curve between the evaluation parameters and the optimal reasonable liquid production volume is generated by fitting; based on the production pressure difference of horizontal wells in boundless bottom water thin layer oil reservoirs corresponding to different values ​​of the evaluation parameters, a pressure difference relationship curve between the evaluation parameters and the maximum production pressure difference 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 extraction volume is established according to the liquid extraction relationship curve, including: According to the liquid collection relationship curve of the evaluation parameter, the influence law of the evaluation parameter on the reasonable liquid collection volume 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 collection volume; A second dimensionless relationship chart of the evaluation parameter and the maximum production pressure difference is established according to the pressure difference relationship curve, including: According to the pressure difference relationship curve of the evaluation parameter, the influence law of the evaluation parameter on the production pressure difference is obtained, and 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.

6. The method according to claim 5, characterized in that Normalize the influencing rules, including: The liquid production corresponding to different values ​​of the evaluation parameter is divided by the optimal reasonable liquid production of the horizontal well in the thin layer oil reservoir with boundless bottom water corresponding to the evaluation parameter, so as to obtain a set of dimensionless coefficients of the optimal reasonable liquid production with values ​​of 0 to 1 under the influence of the evaluation parameter; The production differential pressures corresponding to different values ​​of the evaluation parameters are divided by the maximum production differential pressures of horizontal wells in thin-layer oil reservoirs with boundless bottom water corresponding to the evaluation parameters, to obtain a set of dimensionless coefficients of maximum production differential pressures with values ​​ranging from 0 to 1 under the influence of the evaluation parameters.

7. The method according to claim 5, characterized in that A first dimensionless relationship diagram characterizing the dimensionless coefficient relationship between the evaluation parameter and the optimal reasonable liquid extraction volume is obtained, including: According to the dimensionless coefficient of the optimal reasonable liquid production volume 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 optimal reasonable liquid production volume is obtained, and the relationship curves of multiple evaluation parameters are integrated into one graph to obtain a first dimensionless relationship graph of each evaluation parameter and the optimal reasonable liquid production volume; A second dimensionless relationship diagram characterizing the dimensionless coefficient relationship between the evaluation parameter and the maximum production pressure difference is obtained, including: 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.

8. The method according to claim 1, characterized in that Determining a first influence weight of the evaluation parameter on the optimal reasonable liquid extraction volume according to the first dimensionless relationship diagram includes: According to the first dimensionless relationship plate 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 volume is calculated, and the main controlling factors and the first influencing weights of the optimal reasonable liquid production volume of the horizontal well in the thin layer oil reservoir with boundless bottom water are determined according to the slope of the coefficient curve corresponding to each evaluation parameter; Determining a second influence weight of the evaluation parameter on the maximum production pressure difference according to the second dimensionless relationship plate includes: 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 slope of the coefficient curve corresponding to each evaluation parameter, the pressure difference main controlling factor and the second influencing weight of the maximum production pressure difference of the horizontal well in the boundless bottom water thin layer oil reservoir are determined.

9. A device for predicting reasonable liquid production data of horizontal wells in thin-layer oil reservoirs with boundless bottom water, characterized in that: include: A data acquisition module is used to obtain the influencing factors of the liquid production and production pressure difference of the horizontal wells in the boundless bottom water thin layer oil reservoir, wherein the influencing factors include the physical properties of the thin layer oil reservoir, the extension length of the horizontal section, and the liquid supply capacity of the formation. According to the geological influencing factors, the evaluation parameters affecting the liquid production and production pressure difference of the horizontal wells in the boundless bottom water thin layer oil reservoir are selected to establish a comprehensive parameter evaluation set; Model building module, used to construct geological model and numerical model of horizontal wells in thin-layer reservoirs with boundless bottom water according to the location of horizontal wells and the length of horizontal sections; A prediction module is used to predict the optimal reasonable liquid production and the maximum production pressure difference corresponding to each evaluation parameter based on a pre-established geological model and numerical model of a horizontal well in an oil reservoir with thin layer of boundless bottom water, and obtain a liquid production relationship curve between the evaluation parameter and the optimal reasonable liquid production, and a pressure difference relationship curve between the evaluation parameter and the maximum production pressure difference; the geological model and numerical model of the horizontal well in the oil reservoir with thin layer of boundless bottom water are established according to the position of the horizontal well and the length of the horizontal section; A data fitting module is used to establish a first dimensionless relationship diagram between the evaluation parameter and the optimal reasonable liquid production volume according to the liquid production relationship curve, and determine a first influence weight of the evaluation parameter on the optimal reasonable liquid production volume according to the first dimensionless relationship diagram; establish a second dimensionless relationship diagram between the evaluation parameter and the maximum production pressure difference according to the pressure difference relationship curve, and determine a second influence weight of the evaluation parameter on the maximum production pressure difference according to the second dimensionless relationship diagram; The data output module is used to perform weighted summation of the optimal reasonable liquid production corresponding to the evaluation parameters according to the first influence weight, and to perform weighted summation of the maximum production pressure difference corresponding to the evaluation parameters according to the second influence weight, so as to obtain the optimal reasonable liquid production and maximum production pressure difference of the horizontal well in the thin layer oil reservoir with boundless bottom water.

10. 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 predicting reasonable liquid production data for horizontal wells in thin-layer oil reservoirs with boundless bottom water as described in any one of claims 1-8.

11. 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 predicting reasonable liquid production data for horizontal wells in thin-layer oil reservoirs with boundless bottom water as described in any one of claims 1 to 8 is implemented.

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