Shale in-situ heating exploitation well pattern deployment method and device

Abstract

The invention discloses a shale in-situ heating exploitation well pattern deployment method and device. The method comprises the following steps: based on related geological parameters of a shale target layer and a heating well pattern unit structure, obtaining oil and gas output per unit electric quantity corresponding to a ratio of each set vertical heating layer distance to a horizontal heating well distance obtained through simulation, and screening out an optimal ratio; on the basis of data obtained through a simulation method, the corresponding relation between the vertical heating interval and the time needed for complete conversion of solid organic matter in shale is established, the optimal vertical heating interval is determined in combination with the planned production cycle, and then the optimal horizontal heating well spacing is determined; according to the target layer thickness and the optimal vertical heating layer distance, the optimal heating layer number is determined; and according to the heating well pattern unit structure, the optimal horizontal heating well spacing, the optimal vertical heating layer spacing and the optimal heating layer number, the heating well pattern structure is determined. By means of the method, reasonable optimization of the heating well pattern structure for in-situ heating mining of the shale oil with the medium-low maturity can be achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of shale oil development, and in particular to a method and device for deploying a shale in-situ heating production well network. Background Art

[0002] The existing well network deployment is mainly aimed at the development of underground oil and gas reservoirs, mainly including the development of conventional conglomerate oil and gas reservoirs, tight conglomerate oil and gas reservoirs and shale oil and gas reservoirs. The well network deployment forms mainly include inverted nine-point, five-point, linear, four-point and seven-point injection and production well networks. Most of the existing well network deployment methods are based on development parameters such as effective half-fracture length, horizontal section length, fracturing section spacing, number of perforation clusters per section and expected mining life. The oil and gas wells and water injection wells are evenly deployed, and the well spacing is relatively large, generally several hundred meters.

[0003] The existing methods for in-situ well network deployment for oil shale mining target the solid organic matter in the shallowly buried oil shale. Usually, a row of injection wells is deployed above the oil shale layer to heat it by injecting high-temperature fluid, and a row of production wells with the same number are deployed below to extract oil and gas. These methods are suitable for in-situ mining of thin layers of oil shale with a burial depth of less than 300 meters, but not for in-situ mining of thick layers of organic-rich shale with a burial depth of more than 1,000 meters. The physical properties of deeply buried shale reservoirs are very poor, and it is difficult to inject high-temperature fluids and achieve uniform heating. Summary of the invention

[0004] In order to enrich the process routes and increase the selection space, the embodiment of the present invention provides a shale in-situ heating production well network deployment method and device, which can realize the reasonable optimization of the deployment well network of in-situ heating production of medium and low maturity shale oil.

[0005] In a first aspect, an embodiment of the present invention provides a shale in-situ heating production well pattern deployment method, comprising:

[0006] Based on the relevant geological parameters of the shale target layer and the selected heating well pattern unit structure, the oil and gas output per unit of electricity corresponding to each set ratio of vertical heating layer spacing to horizontal heating well spacing obtained by simulation method is obtained, and the optimal ratio of vertical heating layer spacing to horizontal heating well spacing is screened out;

[0007] Based on the data obtained by the simulation method, a corresponding relationship between the vertical heating layer spacing of the target layer and the time required for complete conversion of solid organic matter in the shale is established, and the optimal vertical heating layer spacing is determined in combination with the planned production cycle of the target layer, and the optimal horizontal heating well spacing is determined in combination with the ratio of the optimal vertical heating layer spacing to the horizontal heating well spacing;

[0008] Determining the optimal number of heating layers according to the target layer thickness and the optimal vertical heating layer distance;

[0009] The heating well network structure for in-situ heating exploitation of the target layer is determined based on the heating well network unit structure, the optimal horizontal heating well spacing, the optimal vertical heating layer spacing and the optimal number of heating layers.

[0010] In a second aspect, an embodiment of the present invention provides a shale in-situ heating production well pattern deployment device, comprising:

[0011] The vertical heating layer spacing and horizontal heating well spacing ratio optimization module is used to obtain the oil and gas output per unit of electricity corresponding to each set vertical heating layer spacing and horizontal heating well spacing ratio obtained by simulation method based on the relevant geological parameters of the shale target layer and the selected heating well pattern unit structure, and screen out the optimal vertical heating layer spacing and horizontal heating well spacing ratio;

[0012] A vertical heating layer spacing and horizontal heating well spacing optimization module is used to establish a corresponding relationship between the vertical heating layer spacing of the target layer and the time required for complete conversion of solid organic matter in shale based on data obtained by a simulation method, determine the optimal vertical heating layer spacing in combination with the planned production cycle of the target layer, and determine the optimal horizontal heating well spacing in combination with the ratio of the optimal vertical heating layer spacing to the horizontal heating well spacing;

[0013] A heating layer number optimization module, used to determine the optimal number of heating layers according to the target layer thickness and the optimal vertical heating layer distance;

[0014] The heating well network structure optimization module is used to determine the heating well network structure for in-situ heating exploitation of the target layer based on the heating well network unit structure, the optimal horizontal heating well spacing, the optimal vertical heating layer spacing and the optimal number of heating layers.

[0015] In a third aspect, an embodiment of the present invention 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 shale in-situ heating production well network deployment method is implemented.

[0016] The beneficial effects of the above technical solution provided by the embodiment of the present invention include at least:

[0017] (1) The shale in-situ heating production well network deployment method provided in the embodiment of the present invention determines the optimal ratio of vertical heating layer spacing to horizontal heating well spacing (determined based on the simulation results of the oil and gas output per unit of electricity) -> determines the optimal vertical heating layer spacing (determined by using the correspondence between the vertical heating layer spacing established based on simulation data and the time required for complete conversion of solid organic matter in shale, combined with the planned production cycle of the target layer) -> determines the optimal horizontal heating well spacing -> determines the optimal number of heating layers (determined based on the target layer thickness + optimal vertical heating layer spacing) -> determines the heating well network structure (determined based on the heating well network unit structure + optimal horizontal heating well spacing + optimal vertical heating layer spacing + optimal number of heating layers), and finally achieves reasonable optimization of the heating well network structure for in-situ heating production of medium and low maturity shale oil by optimizing parameters one by one. This method is suitable for in-situ mining of thick shale buried deep underground (greater than 1,000 meters). According to the thickness of the organic-rich shale, a multi-layer electric heating horizontal well network is deployed to achieve uniform heating of the thick shale, improve the conversion and extraction efficiency of solid organic matter in the shale, reduce production costs, and improve production efficiency.

[0018] (2) The shale in-situ heating production well network deployment method provided in the embodiment of the present invention performs reservoir numerical simulation based on the vertical and horizontal heat conduction efficiency of underground shale under different temperature conditions, optimizes the ratio of vertical heating layer spacing to horizontal heating well spacing, further improves the uniformity of shale heating, and effectively reduces the energy consumption of electricity used in production.

[0019] (3) The shale in-situ heating production well network deployment method provided in the embodiment of the present invention proposes to deploy monitoring wells in the in-situ heating target layer and the plugging layer, which can effectively monitor the conversion of organic matter in the heated geological body and the loss of produced oil and gas to the top and bottom, providing an important basis for dynamically adjusting the heating plan.

[0020] 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.

[0021] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] 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:

[0023] Figure 1 This is a flow chart of the shale in-situ heating production well pattern deployment method in the first embodiment of the present invention;

[0024] Figure 2 A flow chart of well pattern optimization including heating wells and production wells in Embodiment 1 of the present invention;

[0025] Figure 3 This is an example diagram of production well deployment in Embodiment 1 of the present invention;

[0026] Figure 4 This is an example diagram of the spatial distribution profile of the shale in-situ heating geological body in the second embodiment of the present invention;

[0027] Figure 5 This is an example diagram of the division of the shale in-situ heating target layer and the plugging layer in the second embodiment of the present invention;

[0028] Figure 6 Graphs of thermal conductivity, porosity and permeability in horizontal and vertical directions of shale under different temperature conditions in Example 2 of the present invention;

[0029] Figure 7 Schematic diagram of the distance from the heat source to the heating center of different heating well pattern structural units in the second embodiment of the present invention;

[0030] Figure 8 A graph showing the relationship between the vertical heating layer distance and the time required for complete conversion of solid organic matter in Example 2 of the present invention;

[0031] Fig. 9 This is a schematic diagram of the deployment of heating wells and production wells for in-situ shale mining in Example 2 of the present invention;

[0032] Fig.10 A diagram showing the relationship between different numbers of heating wells and unit oil production and unit gas production in the second embodiment of the present invention;

[0033] Fig.11 This is a schematic diagram of the deployment of heating wells, production wells and monitoring wells for in-situ shale mining in Example 2 of the present invention;

[0034] Fig.12 It is a schematic diagram of the structure of a shale in-situ heating production well pattern deployment device in an embodiment of the present invention. DETAILED DESCRIPTION

[0035] 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.

[0036] It should be understood that the terms described in the present invention are only for describing special embodiments and are not intended to limit the present invention. In addition, for the numerical range in the present invention, it should be understood that each intermediate value between the upper and lower limits of the scope is also specifically disclosed. Each smaller range between the intermediate value in any stated value or stated range and any other stated value or intermediate value in the described range is also included in the present invention. The upper and lower limits of these smaller ranges can be independently included or excluded in the scope.

[0037] Unless otherwise indicated, all technical and scientific terms used herein have the same meanings as commonly understood by those skilled in the art to which the invention belongs. Although the present invention describes only preferred methods and materials, any methods and materials similar or equivalent to those described herein may also be used in the implementation or testing of the present invention. All documents mentioned in this specification are incorporated by reference to disclose and describe the methods and / or materials related to the documents. In the event of a conflict with any incorporated document, the content of this specification shall prevail.

[0038] In order to solve the problem that the existing technology of in-situ oil shale mining well network deployment method is not suitable for in-situ mining of thick organic-rich shale with a burial depth of more than 1000 meters, the embodiment of the present invention provides a shale in-situ heating mining well network deployment method and device to solve the optimization problem of in-situ heating mining well layout for medium and low maturity shale oil.

[0039] Embodiment 1

[0040] Embodiment 1 of the present invention provides a shale in-situ heating mining well pattern deployment method, the process of which is as follows Figure 1 As shown, the following steps are included:

[0041] Step S11: Based on the relevant geological parameters of the shale target layer and the selected heating well network unit structure, the oil and gas output per unit of electricity corresponding to each set ratio of vertical heating layer distance to horizontal heating well distance obtained by the simulation method is obtained, and the optimal ratio of vertical heating layer distance to horizontal heating well distance is screened out.

[0042] According to the thickness of the target layer for in-situ heating, the structure of the three-dimensional heating well network unit is designed by comprehensively considering factors such as heating efficiency, heating uniformity, and difficulty of drilling construction. It is usually a triangular well network unit consisting of 3 heating wells, a quadrilateral well network unit consisting of 4 heating wells, or a hexagonal well network unit consisting of 6 heating wells. Optionally, other well network unit structures may be used.

[0043] Furthermore, the above simulation method may be a numerical simulation method or an experimental simulation method.

[0044] The initial horizontal heating well spacing can be set first, generally 5 to 20 meters. On the basis of setting the initial horizontal heating well spacing and the heating well network unit structure, the corresponding heating well network unit can be determined for each vertical heating layer spacing and horizontal heating well spacing ratio.

[0045] Alternatively, the initial vertical heating layer distance may be set first, which is generally 2 to 15 meters. Based on the setting of the initial vertical heating layer distance and the heating well pattern unit structure, the corresponding heating well pattern unit may be determined for each ratio of the vertical heating layer distance to the horizontal heating well pattern.

[0046] Taking the numerical simulation method as an example, for the heating well network unit determined according to the ratio of each vertical heating layer spacing to the horizontal heating well spacing, according to the horizontal thermal conductivity and vertical thermal conductivity under different temperature conditions of the target layer, based on the relevant geological parameters of the target layer, the reservoir numerical simulation technology is used to simulate the in-situ heating process of shale in the heating well network unit to obtain the corresponding oil and gas output per unit of electricity.

[0047] Furthermore, the thermal conductivity data under a certain temperature condition may be three-dimensional grid data, wherein each grid includes horizontal thermal conductivity and vertical thermal conductivity.

[0048] Step S12: Based on the data obtained by the simulation method, a corresponding relationship between the vertical heating layer distance of the target layer and the time required for complete conversion of solid organic matter in the shale is established. Combined with the planned production cycle of the target layer, the optimal vertical heating layer distance is determined. Combined with the ratio of the optimal vertical heating layer distance to the horizontal heating well distance, the optimal horizontal heating well distance is determined.

[0049] In the above step S11, the heating well pattern unit structure is selected, and on the basis of screening out the optimal ratio of the vertical heating layer distance to the horizontal heating well distance, the corresponding heating well pattern unit can be determined for each set vertical heating layer distance, and the corresponding data pair including the vertical heating layer distance and the time required for the complete conversion of the solid organic matter in the shale is obtained by simulation, and then the corresponding relationship between the vertical heating layer distance of the target layer and the time required for the complete conversion of the solid organic matter in the shale is established by mathematical fitting:

[0050] y=a*x b (1)

[0051] In formula (1), x is the time required for complete conversion of shale solid organic matter, y is the vertical heating layer distance, and a and b are constants determined by fitting.

[0052] The time required for complete conversion of solid organic matter, that is, the time when the amount of hydrocarbon generation no longer changes during the simulated heating process.

[0053] Step S13: Determine the optimal number of heating layers according to the target layer thickness and the optimal vertical heating layer distance.

[0054] Taking the initial conversion temperature of kerogen (usually 300℃) as the lower limit of the temperature of the effective thermal field formed by the heating well network, through multiple tests (or simulations), it is found that the vertical diffusion amplitude of the effective thermal field is 40% of the vertical heating layer distance, that is, the vertical distance between the top horizontal heating well and the bottom horizontal heating well is defined as the heating thickness, and the range of the effective thermal field is the heating thickness and the vertical heating layer distance is expanded by 40% upward and downward respectively. Based on the principle that the effective thermal field can cover the heating target layer and the heat source can be effectively utilized, the calculation method of the number of heating layers is obtained:

[0055] The ratio of the target layer thickness to the optimal vertical heating layer distance is determined, and the integer part of the value obtained by adding 0.2 to the ratio is determined as the optimal number of heating layers. For example, if the value obtained is 3.9, the integer part 3 is taken as the optimal number of heating layers.

[0056] Furthermore, effective in-situ exploitation of shale oil requires that the thickness of the top plugging layer and the thickness of the bottom plugging layer of the heated target layer meet the corresponding lower limits of the plugging thickness. If not, the heated target layer needs to be sacrificed as a plugging layer so that part of the heated target layer is not affected by the heating. In the case of not being heated, the target layer rock formation can also produce a plugging effect. Therefore, the optimization of the number of heating layers can be divided into the following cases:

[0057] (1) The thickness of the top plugging layer of the target layer shall not be less than the lower limit of the top plate plugging thickness, and the thickness of the bottom plugging layer shall not be less than the lower limit of the bottom plate plugging thickness.

[0058] At this time, the optimal number of heating layers can be determined directly according to the thickness of the heating target layer and the optimal vertical heating layer distance through the above method.

[0059] (2) The thickness of the top plugging layer of the target layer shall not be less than the lower limit of the top plate plugging thickness, and the thickness of the bottom plugging layer shall be less than the lower limit of the bottom plate plugging thickness.

[0060] At this time, the top boundary of the bottom plugging layer is extended upward until the thickness of the bottom plugging layer is not less than the lower limit of the bottom plate plugging thickness, usually until the thickness of the bottom plugging layer is equal to the lower limit of the bottom plate plugging thickness. Determine the current target layer thickness, and determine the optimal number of heating layers based on the current target layer thickness and the optimal vertical heating layer distance.

[0061] (3) The thickness of the top plugging layer of the target layer is less than the lower limit of the top plate plugging thickness, and the thickness of the bottom plugging layer is not less than the lower limit of the bottom plate plugging thickness.

[0062] At this time, the bottom boundary of the top plugging layer is extended downward until the thickness of the top plugging layer is not less than the lower limit of the top plate plugging thickness, usually until the thickness of the top plugging layer is equal to the lower limit of the top plate plugging thickness. Determine the current target layer thickness, and determine the optimal number of heating layers based on the current target layer thickness and the optimal vertical heating layer distance.

[0063] (4) The thickness of the top plugging layer of the target layer is less than the lower limit of the top plate plugging thickness, and the thickness of the bottom plugging layer is less than the lower limit of the bottom plate plugging thickness.

[0064] Extend the bottom boundary of the top sealing layer downward until the thickness of the top sealing layer is not less than the lower limit of the top plate sealing thickness, and extend the top boundary of the bottom sealing layer upward until the thickness of the bottom sealing layer is not less than the lower limit of the bottom plate sealing thickness.

[0065] Usually, the bottom boundary of the top plugging layer can be extended downward until the thickness of the top plugging layer is equal to the lower limit of the top plate plugging thickness, and the top boundary of the bottom plugging layer can be extended upward until the thickness of the bottom plugging layer is equal to the lower limit of the bottom plate plugging thickness.

[0066] Then, the current target layer thickness is determined, and the optimal number of heating layers is determined based on the current target layer thickness and the optimal vertical heating layer distance.

[0067] Step S14: Determine the heating well network structure for in-situ heating exploitation of the target layer according to the heating well network unit structure, the optimal horizontal heating well spacing, the optimal vertical heating layer spacing and the optimal number of heating layers.

[0068] The shale in-situ heating production well network deployment method provided in Example 1 of the present invention determines the optimal ratio of vertical heating layer spacing to horizontal heating well spacing (determined based on the simulation results of the oil and gas output per unit of electricity)->determines the optimal vertical heating layer spacing (determined by using the correspondence between the vertical heating layer spacing established based on simulation data and the time required for complete conversion of solid organic matter in shale, combined with the planned production cycle of the target layer)->determines the optimal horizontal heating well spacing->determines the optimal number of heating layers (determined based on the thickness of the target layer + the optimal vertical heating layer spacing)->determines the heating well network structure (determined based on the heating well network unit structure + the optimal horizontal heating well spacing + the optimal vertical heating layer spacing + the optimal number of heating layers), and finally achieves reasonable optimization of the heating well network structure for in-situ heating production of medium and low maturity shale oil by optimizing parameters one by one. This method is suitable for in-situ mining of thick shale buried deep underground (greater than 1,000 meters). According to the thickness of the organic-rich shale, a multi-layer electric heating horizontal well network is deployed to achieve uniform heating of the thick shale, improve the conversion and extraction efficiency of solid organic matter in the shale, reduce production costs, and improve production efficiency.

[0069] The shale in-situ heating production well network deployment method provided in Example 1 of the present invention performs reservoir numerical simulation based on the vertical and lateral heat conduction efficiency of underground shale under different temperature conditions, optimizes the ratio of vertical heating layer spacing to horizontal heating well spacing, further improves the uniformity of shale heating, and effectively reduces the energy consumption of electricity used in production.

[0070] On the basis of the determination of the heating well network structure, the number of heating wells is further determined, and the heating well network can be uniquely determined; based on the deployment principle of production wells, the number of production wells is further determined, and the well network including heating wells and production wells for in-situ heating and production of the target layer can be obtained. Figure 2 As shown, the following steps may be included:

[0071] Step S21: Based on the deployment principle of production wells, according to each set ratio of the number of heating wells to production wells, the optimal ratio of the number of heating wells to production wells is screened through the numerical simulation results of the oil and gas production per unit electricity of the corresponding well network.

[0072] The above steps have determined the structure of the heating well network, so by setting the initial value of the number of heating wells, the heating well network can be determined; for each set ratio of the number of heating wells to production wells, based on the deployment principle of production wells, on the basis of the heating well network, the specific well network including heating wells and production wells can be determined. Through numerical simulation, the unit electricity production of the corresponding well network can be obtained. Determine the well network corresponding to the maximum unit electricity production of oil and gas, and determine the ratio of the number of heating wells to production wells corresponding to the well network as the optimal ratio of the number of heating wells to production wells.

[0073] The deployment principles of production wells are:

[0074] (1) The production wells are evenly arranged on the same horizontal line, and each production well is located between two adjacent heating wells in the same layer.

[0075] (2) The production wells are deployed vertically in the middle of the heating well network.

[0076] If the heating well pattern is an even-numbered pattern, the production well is deployed in the lower middle part, located in the center of the diamond pattern unit composed of 4 heating wells, such as Figure 3 If the heating well pattern is an odd-numbered pattern, the production well is deployed in the middle, located in the center of the diamond pattern unit composed of 4 heating wells, such as Figure 3 There are 3 layers of heating well networks and 5 layers of heating well networks. Figure 3 The four vertices of the black diamond box in the figure represent heating wells, and the red dots represent production wells.

[0077] Figure 3 In the figure, the number of heating wells is 37. According to the structure of the heating well network and based on the deployment principle of production wells, different well networks including heating wells and production wells can be obtained.

[0078] Step S22: Based on the optimal ratio of the number of heating wells to production wells, obtain the numerical simulation results of the oil and gas production per unit heating section length of a single heating well corresponding to the heating well network with different numbers of heating wells, and establish the corresponding relationship between the number of heating wells and the oil and gas production per unit heating section length of a single heating well.

[0079] The above steps have determined the structure of the heating well network and the optimal ratio of heating wells to production wells. Therefore, based on the deployment principle of production wells, different well networks including heating wells and production wells can be obtained for different numbers of heating wells. Through numerical simulation, the corresponding oil and gas production per unit heating section length of a single heating well can be obtained. Through data fitting, the corresponding relationship between the number of heating wells and the oil and gas production per unit heating section length of a single heating well can be established.

[0080] The corresponding relationship between the number of heating wells and the oil and gas production per unit heating section length of a single heating well is established as follows:

[0081] q=c*ln(n)+d (2)

[0082] In formula (2), n is the number of heating wells, q is the oil and gas production per unit heating section length of a single heating well, and c and d are constants determined by fitting.

[0083] Step S23: Determine the number of heating wells based on the production capacity construction of the target layer, the drilling cycle and the horizontal length of the heating well, using the correspondence between the number of heating wells and the oil and gas production per unit heating section length of a single heating well.

[0084] Step S24: According to the optimal ratio of the number of heating wells to production wells and the number of heating wells, based on the deployment principle of production wells, a well network including heating wells and production wells for in-situ heating and exploitation of the target layer is obtained.

[0085] In some embodiments, after determining the well pattern including the heating wells and the production wells, monitoring wells may be further deployed:

[0086] (1) A horizontal monitoring well is deployed inside the top plugging layer of the target layer to monitor the hydrocarbon leakage of the top plugging layer. The horizontal section extension direction of the horizontal monitoring well is perpendicular to the horizontal section extension direction of the heating well and the production well.

[0087] (2) A horizontal monitoring well is deployed inside the bottom plugging layer of the target layer to monitor the hydrocarbon leakage of the bottom plugging layer. The horizontal section extension direction of the horizontal monitoring well is perpendicular to the horizontal section extension direction of the heating well and the production well.

[0088] (3) Based on the center position of the current well pattern, a horizontal monitoring well is deployed to monitor the temperature and pressure changes in the horizontal direction of the target layer. The horizontal section extension direction of the horizontal monitoring well is parallel to the horizontal section extension direction of the heating well.

[0089] The horizontal monitoring well should be deployed as close to the center of the heating well network as possible, located in the center of the diamond well network unit consisting of four heating wells, and staggered with the location of the horizontal production wells.

[0090] (4) Based on the center position of the current well network, a vertical monitoring well is deployed to monitor the temperature and pressure changes in the vertical direction.

[0091] Vertical monitoring wells should be deployed as close to the center of the heating well network as possible, staggered with horizontal heating wells, horizontal production wells and horizontal monitoring wells, and the well spacing should be kept as large as possible to reduce the difficulty of drilling implementation.

[0092] Embodiment 2

[0093] Embodiment 2 of the present invention provides a specific application of a shale in-situ heating production well pattern deployment method, comprising the following steps:

[0094] Step 1: Characterization of geological parameters of shale in-situ heating.

[0095] ① Using core experimental analysis data, well logging interpretation data and seismic interpretation data, characterize the spatial distribution characteristics of shale in-situ heating geological bodies ( Figure 4 ).

[0096] ② The shale in-situ heating geological body includes the shale in-situ heating target layer and the top and bottom sealing layers that prevent the generated oil and gas from escaping ( Figure 5 ).

[0097] ③ Characterize the spatial distribution of the shale in-situ heated geological body, including the buried depth, thickness, rock formation occurrence and other parameters of the heated geological body ( Figure 4 The in-situ heated geological body of the embodiment has a burial depth of 1235 to 1395 meters, a thickness of about 20 meters, a gentle structure, and a slope of about 1 degree.

[0098] ④ Characterize the characteristics of the shale in situ heating geological body, including the lithology of the shale, total organic carbon content, free hydrocarbon content, pyrolysis hydrocarbon content, horizontal and vertical thermal conductivity under different temperature conditions, horizontal and vertical reservoir permeability under different temperature conditions, and reservoir porosity (obtained through conventional core experimental tests) ( Figure 5 and Figure 6 ).

[0099] Depend on Figure 6 It can be seen that with the increase of temperature, the horizontal thermal conductivity of shale gradually decreases. After the temperature rises to a certain extent, the horizontal thermal conductivity basically does not change with the increase of temperature; with the increase of temperature, the horizontal thermal conductivity of shale gradually increases. With the increase of temperature, the horizontal and vertical permeability of shale gradually increases, and the porosity of shale also increases.

[0100] Step 2: Division of shale in-situ heating target layer and sealing layer.

[0101] ① According to the parameters characterizing the heated geological body in step 1 and the optimization criteria for the target layer for in-situ heating of shale in the study area, the target layer for in-situ heating is determined. The thickness of the target layer for heating is calculated to be about 15 meters, the horizontal thermal conductivity under different temperature conditions is 1.3284-1.5354 W / (m·k), the vertical thermal conductivity is 0.5834-0.8601 W / (m·k), the horizontal permeability is 0.043-6.19 md, the vertical permeability is 0.0001-0.027 md, and the porosity is 2-28%.

[0102] ② According to the parameters characterizing the heated geological body in step 1, and in accordance with the standard for the lower limit of the thickness of the top and bottom plugging layers of the in-situ heating target layer of shale in the study area, determine the top and bottom plugging layers of the in-situ heating target layer, and calculate the buried depth and thickness of the plugging layer. In the embodiment, the buried depth of the top plugging layer is about 1230 to 1380 meters, the thickness is about 10 meters, and the buried depth of the bottom plugging layer is about 1250 to 1400 meters, and the thickness is about 10 meters.

[0103] Step 3: Design of heating well network structural unit.

[0104] ① The unit structure of the heating well network needs to be comprehensively selected considering heating efficiency, heating uniformity, drilling construction difficulty and other aspects.

[0105] If you want a higher heating efficiency, you can choose a triangular well pattern structure unit. Under the condition of equal side lengths, the distance from the vertex of a triangle to the center point is 0.5774 times the side length, the distance from the vertex of a quadrilateral to the center point is 0.7071 times the side length, and the distance from the vertex of a hexagon to the center point is 1 times the side length. Therefore, the distance from the vertex of a triangle to the center point is the shortest. The deployment of a triangular heating well pattern unit will allow the solid organic matter in the geological body to be completely converted faster ( Figure 7 ).

[0106] It should be understood that this does not mean that the triangular heating well network unit is the best. Considering the actual mining situation, the heating well network units with other structures may be better.

[0107] ② According to the thermal conductivity of shale in horizontal and vertical directions, the ratio of vertical heating layer spacing to horizontal heating well spacing of the triangular well pattern structure unit is determined. Since shale generally has more horizontal lamination, the thermal conductivity of shale in the vertical direction is significantly lower than that in the horizontal direction, resulting in the vertical heat transfer being significantly slower than the horizontal heat transfer during the in-situ heating of shale. Therefore, in order to achieve uniform heating of shale in the vertical and horizontal directions, the vertical layer spacing of the triangular well pattern structure unit should be smaller than the horizontal well spacing. According to the horizontal and vertical thermal conductivity of the heating target layer under different temperature conditions in the study area, the reservoir numerical simulation technology is used to simulate the in-situ heating process of shale in five triangular well patterns with different ratios of vertical layer spacing to horizontal well spacing, and the oil and gas output per unit of electricity is calculated (Table 1). The second scheme is preferred, which has the largest oil and gas output per unit of electricity. The ratio of vertical layer spacing to horizontal well spacing is 3:8, which is the ratio of vertical layer spacing to horizontal well spacing of the well pattern structure unit in the study area.

[0108] Table 1 Oil and gas production and electricity consumption for different vertical layer spacing and horizontal well spacing ratios calculated by numerical simulation of reservoirs

[0109]

[0110] Step 4: Design of vertical heating layer distance.

[0111] Based on the ratio of vertical layer spacing to horizontal well spacing determined in step 3, a heating well pattern unit with an isosceles triangle structure is designed. By using numerical simulation technology, or optionally, if conditions permit, experimental methods can be used to establish the relationship between the vertical heating layer spacing in the study area and the time required for complete conversion of solid organic matter in shale. Figure 8 As shown, the relationship established in the embodiment is:

[0112] y=1.4731x 0.4787

[0113] Where x is the time required for complete conversion of solid organic matter (years), and y is the vertical heating layer distance (meters).

[0114] Using the above established relationship between the vertical heating layer spacing and the time required for complete conversion of solid organic matter in shale, the optimal vertical heating layer spacing is determined according to the planned production cycle of the study area. The planned production cycle of the embodiment is 10 years, and the calculated vertical heating layer spacing is 4.44 meters.

[0115] Step 5: Design of horizontal heating well spacing.

[0116] According to the ratio of vertical layer spacing to horizontal well spacing of 3:8 determined in step three, and the vertical heating layer spacing of 4.44 determined in step four, the horizontal heating well spacing of the well network is calculated to be 11.83 meters.

[0117] Step 6: Design the number of heating layers.

[0118] According to the heating target layer thickness of about 15 meters determined in step 2 and the vertical heating layer distance of 4.44 meters determined in step 5, the number of heating layers is calculated as 3 according to the following formula ( Fig. 9 ).

[0119] N=H / V+0.2

[0120] Wherein, N is the number of heating layers (layers), which is an integer (e.g. 1.9, which is 1); H is the thickness of the heating target layer (meters); and V is the vertical heating layer distance (meters).

[0121] Step 7: Production well deployment principles.

[0122] The production wells determined above are deployed in the same layer, and are evenly deployed in the horizontal direction according to the number, and each production well is located in the middle of two adjacent heating wells in the same layer.

[0123] The production wells are deployed vertically in the middle of the heating well pattern. If the well pattern is even, the production wells are deployed in the lower middle part, located in the center of the diamond well pattern unit composed of 4 heating wells. The production wells are evenly deployed horizontally in the heating well pattern according to the number.

[0124] Step 8: Specific deployment design of heating wells and production wells.

[0125] ① According to the reservoir porosity and permeability under different temperature conditions in the study area, numerical simulation technology was used to simulate the oil and gas production of 9 schemes with different ratios of heating wells to production wells (Table 2). The optimal scheme 5 was the well network with the largest oil and gas production per unit of electricity. The ratio of heating wells to production wells was 8:1, which is the ratio of heating wells to production wells in the study area.

[0126] Table 2 Oil and gas production and electricity consumption of different heating well to production well ratios calculated by reservoir numerical simulation

[0127]

[0128]

[0129] ② According to the key parameters of the well network determined in steps 3 to 5, establish well networks with different numbers of production wells and heating wells. Use numerical simulation methods to simulate the oil and gas production of different well networks. Establish the relationship between the number of heating wells and the oil production per unit heating section length of a single heating well, and the relationship between the number of heating wells and the gas production per unit heating section length of a single heating well ( Fig.10 ).

[0130] The relationship between the number of heating wells in the embodiment and the oil production per unit heating section length of a single heating well is:

[0131] y = 0.5025ln(x) + 3.6481

[0132] where x is the number of heating wells (wells), and y is the oil production per unit heating section length of a single heating well (m 3 / (m·well)).

[0133] The relationship between the number of heating wells in the embodiment and the gas production per unit heating section length of a single heating well is:

[0134] y = 0.0402ln(x) + 0.3848

[0135] where x is the number of heating wells (wells), and y is the gas production per unit heating section length of a single heating well (10 4 m 3 / (m·well)).

[0136] ③ Using the relationship between the number of heating wells and the production established above, determine the number of heating wells according to the production capacity construction situation, drilling cycle, and horizontal section length of the heating wells in the study area. In the embodiment, it is planned to build a production of 2 million tons of oil and gas equivalent, with a drilling cycle of 10 years and a horizontal section length of the heating wells of 1000 m. It is determined that 25 heating wells are deployed annually.

[0137] ④ According to the determined ratio and the number of heating wells above, calculate the number of production wells. In the embodiment, 25 heating wells are deployed annually, and the ratio of the number of heating wells to the number of production wells is 8:1. It is calculated that 3 production wells are deployed annually.

[0138] Step Nine: Monitoring well design.

[0139] ① Deploy a horizontal monitoring well respectively inside the top sealing layer and the bottom sealing layer. The extension direction of the horizontal monitoring well is perpendicular to the extension directions of the horizontal heating wells and the horizontal production wells. The horizontal monitoring well mainly monitors the hydrocarbon leakage situation of the top sealing layer and the bottom sealing layer.

[0140] ② Deploy a horizontal monitoring well inside the heating target layer. The extension direction of the horizontal monitoring well is parallel to the extension direction of the horizontal heating wells. The horizontal monitoring well should be deployed as much as possible at the center of the heating well network, at the center of the rhombic well network unit composed of 4 heating wells, and staggered from the position of the horizontal production wells. This well mainly monitors the temperature and pressure changes in the horizontal direction of the heating target layer (adjust the heating program).

[0141] ③Deploy a vertical monitoring well from the top plugging layer to the bottom plugging layer. The vertical monitoring well should be deployed as far as possible in the center of the heating well network, staggered with the horizontal heating well, horizontal production well and horizontal monitoring well, and keep as large a well spacing as possible to reduce the difficulty of drilling implementation. The well mainly monitors the temperature and pressure changes in the vertical direction of the heated geological body (including the top and bottom plugging layers and the middle heating target layer).

[0142] The deployment of monitoring wells is shown in Fig.11 shown.

[0143] Based on the inventive concept of the present invention, an embodiment of the present invention further provides a shale in-situ heating production well pattern deployment device, the structure of which is as follows: Fig.12 As shown, including:

[0144] The vertical heating layer spacing and horizontal heating well spacing ratio optimization module 121 is used to obtain the oil and gas output per unit of electricity corresponding to each set vertical heating layer spacing and horizontal heating well spacing ratio obtained by the simulation method based on the relevant geological parameters of the shale target layer and the selected heating well pattern unit structure, and screen out the optimal vertical heating layer spacing and horizontal heating well spacing ratio;

[0145] The vertical heating layer spacing and horizontal heating well spacing optimization module 122 is used to establish the corresponding relationship between the vertical heating layer spacing of the target layer and the time required for complete conversion of solid organic matter in shale based on the data obtained by the simulation method, determine the optimal vertical heating layer spacing in combination with the planned production cycle of the target layer, and determine the optimal horizontal heating well spacing in combination with the ratio of the optimal vertical heating layer spacing to the horizontal heating well spacing;

[0146] A heating layer number optimization module 123 is used to determine the optimal number of heating layers according to the target layer thickness and the optimal vertical heating layer distance;

[0147] The heating well network structure optimization module 124 is used to determine the heating well network structure for in-situ heating exploitation of the target layer according to the heating well network unit structure, the optimal horizontal heating well spacing, the optimal vertical heating layer spacing and the optimal number of heating layers.

[0148] In some embodiments, the above device further comprises a well pattern optimization module 125 including heater wells and production wells, for:

[0149] Based on the deployment principle of production wells, according to each set ratio of heating wells to production wells, the optimal ratio of the number of heating wells to production wells is screened through the numerical simulation results of the oil and gas production per unit of electricity of the corresponding well network; based on the optimal ratio of the number of heating wells to production wells, the numerical simulation results of the oil and gas production per unit of electricity corresponding to the heating well network with different numbers of heating wells are obtained, and the corresponding relationship between the number of heating wells and the oil and gas production per unit of electricity is established; according to the production capacity construction situation of the target layer, the production cycle and the horizontal section length of the heating wells, the number of heating wells is determined by using the corresponding relationship between the number of heating wells and the oil and gas production per unit of electricity; according to the optimal ratio of the number of heating wells to production wells and the number of heating wells, based on the deployment principle of production wells, the well network including heating wells and production wells for in-situ heating and exploitation of the target layer is obtained.

[0150] In some embodiments, the above apparatus further includes a monitoring well deployment module 126, which is used to:

[0151] Based on the center position of the current well network, a horizontal monitoring well is deployed to monitor the temperature and pressure changes in the horizontal direction of the target layer; the horizontal section extension direction of the horizontal monitoring well is parallel to the horizontal section extension direction of the heating well.

[0152] In some embodiments, the monitoring well deployment module 126 is further configured to:

[0153] A horizontal monitoring well is deployed inside the top plugging layer of the target layer to monitor the hydrocarbon leakage of the top plugging layer, and / or a horizontal monitoring well is deployed inside the bottom plugging layer of the target layer to monitor the hydrocarbon leakage of the bottom plugging layer; the horizontal section extension direction of the horizontal monitoring well is perpendicular to the horizontal section extension direction of the heating well and the production well.

[0154] In some embodiments, the monitoring well deployment module 126 is further configured to:

[0155] Based on the center position of the current well network, a vertical monitoring well is deployed to monitor the temperature and pressure changes in the vertical direction.

[0156] Regarding the device in the above 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.

[0157] Based on the inventive concept of the present invention, 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 shale in-situ heating production well network deployment method is implemented.

[0158] 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.

[0159] 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.

[0160] 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 an embodiment of the claimed subject matter requires more features than those set forth 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.

[0161] 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.

[0162] 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.

[0163] 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.

[0164] 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 can 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," explained as a transitional word in the claims. In addition, any term "or" used in the specification of the claims is intended to represent "non-exclusive or". The terms "first" and "second" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance.

Claims

1. A shale in-situ heating mining well pattern deployment method, characterized in that: include: Based on the relevant geological parameters of the shale target layer and the selected heating well pattern unit structure, the oil and gas output per unit of electricity corresponding to each set ratio of vertical heating layer spacing to horizontal heating well spacing obtained by simulation method is obtained, and the optimal ratio of vertical heating layer spacing to horizontal heating well spacing is screened out; Based on the data obtained by the simulation method, a corresponding relationship between the vertical heating layer spacing of the target layer and the time required for complete conversion of solid organic matter in the shale is established, and the optimal vertical heating layer spacing is determined in combination with the planned production cycle of the target layer, and the optimal horizontal heating well spacing is determined in combination with the ratio of the optimal vertical heating layer spacing to the horizontal heating well spacing; Determining the optimal number of heating layers according to the target layer thickness and the optimal vertical heating layer distance; The heating well network structure for in-situ heating exploitation of the target layer is determined based on the heating well network unit structure, the optimal horizontal heating well spacing, the optimal vertical heating layer spacing and the optimal number of heating layers.

2. The method according to claim 1, characterized in that When the simulation method is a numerical simulation method, the oil and gas output per unit of electricity corresponding to each set ratio of vertical heating layer spacing to horizontal heating well spacing is obtained by the simulation method, including: According to the horizontal thermal conductivity and vertical thermal conductivity of the target layer under different temperature conditions, the reservoir numerical simulation technology is used to simulate the in-situ heating process of shale in the heating well network unit corresponding to each set ratio of vertical heating layer spacing to horizontal heating well spacing, and the amount of oil and gas produced per unit of electricity is obtained.

3. The method according to claim 1, characterized in that The establishing of the correspondence between the vertical heating interval of the target layer and the time required for complete conversion of solid organic matter in the shale includes: The corresponding relationship between the vertical heating interval of the target layer and the time required for complete conversion of solid organic matter in the shale is established as follows: y=a*x b (1) In formula (1), x is the time required for complete conversion of shale solid organic matter, y is the vertical heating layer distance, and a and b are constants determined by fitting.

4. The method according to claim 1, characterized in that Determining the optimal number of heating layers according to the target layer thickness and the optimal vertical heating layer distance comprises: If the thickness of the top blocking layer of the target layer is not less than the lower limit of the top plate blocking thickness, and the thickness of the bottom blocking layer is not less than the lower limit of the bottom plate blocking thickness, the optimal number of heating layers is determined according to the current target layer thickness and the optimal vertical heating layer distance.

5. The method according to claim 4, characterized in that The step of determining the optimal number of heating layers according to the target layer thickness and the optimal vertical heating layer distance further comprises: If the thickness of the top plugging layer of the target layer is not less than the lower limit of the top plate plugging thickness, and the thickness of the bottom plugging layer is less than the lower limit of the bottom plate plugging thickness, the top boundary of the bottom plugging layer is extended upward until the thickness of the bottom plugging layer is not less than the lower limit of the bottom plate plugging thickness; The current target layer thickness is determined, and the optimal number of heating layers is determined according to the current target layer thickness and the optimal vertical heating layer distance.

6. The method according to claim 4, characterized in that The step of determining the optimal number of heating layers according to the target layer thickness and the optimal vertical heating layer distance further comprises: If the thickness of the top plugging layer of the target layer is less than the lower limit of the top plate plugging thickness, and the thickness of the bottom plugging layer is not less than the lower limit of the bottom plate plugging thickness, the bottom boundary of the top plugging layer is extended downward until the thickness of the top plugging layer is not less than the lower limit of the top plate plugging thickness; The current target layer thickness is determined, and the optimal number of heating layers is determined according to the current target layer thickness and the optimal vertical heating layer distance.

7. The method according to claim 4, characterized in that The step of determining the optimal number of heating layers according to the target layer thickness and the optimal vertical heating layer distance further comprises: If the thickness of the top plugging layer of the target layer is less than the lower limit of the top plate plugging thickness, and the thickness of the bottom plugging layer is less than the lower limit of the bottom plate plugging thickness, the bottom boundary of the top plugging layer is extended downward until the thickness of the top plugging layer is not less than the lower limit of the top plate plugging thickness, and the top boundary of the bottom plugging layer is extended upward until the thickness of the bottom plugging layer is not less than the lower limit of the bottom plate plugging thickness; The current target layer thickness is determined, and the optimal number of heating layers is determined according to the current target layer thickness and the optimal vertical heating layer distance.

8. The method according to any one of claims 4 to 7, characterized in that: Determining the optimal number of heating layers according to the current target layer thickness and the optimal vertical heating layer distance includes: The ratio of the current target layer thickness to the optimal vertical heating layer distance is determined, and the integer part of the value obtained by adding 0.2 to the ratio is determined as the optimal number of heating layers.

9. The method according to claim 1, characterized in that After determining the heating well pattern structure for in-situ heating production of the target layer, the method further includes: Based on the deployment principle of production wells, according to each set ratio of heating wells to production wells, the optimal ratio of heating wells to production wells is screened through the numerical simulation results of oil and gas production per unit electricity of the corresponding well network; Based on the optimal ratio of the number of heater wells to production wells, the numerical simulation results of the oil and gas production per unit heating section length of a single heater well corresponding to the heater well network with different numbers of heater wells are obtained, and the corresponding relationship between the number of heater wells and the oil and gas production per unit heating section length of a single heater well is established; According to the production capacity construction of the target layer, the drilling cycle and the horizontal section length of the heating well, the number of heating wells is determined by using the corresponding relationship between the number of heating wells and the oil and gas production per unit heating section length of a single heating well; According to the optimal ratio of the number of heating wells to production wells and the number of heating wells, based on the deployment principle of production wells, a well network including heating wells and production wells for in-situ heating and exploitation of the target layer is obtained.

10. The method according to claim 9, characterized in that The deployment principles of production wells are: The production wells are deployed vertically in the middle of the heating well network and evenly distributed horizontally on the same horizontal line, and each production well is located in the middle of two adjacent heating wells in the same layer.

11. The method according to claim 9, characterized in that The establishing of the corresponding relationship between the number of heating wells and the oil and gas production per unit heating section length of a single heating well includes: The corresponding relationship between the number of heating wells and the oil and gas production per unit heating section length of a single heating well is established as follows: q=c*ln(n)+d (2) In formula (2), n is the number of heating wells, q is the oil and gas production per unit heating section length of a single heating well, and c and d are constants determined by fitting.

12. The method according to claim 9, characterized in that After obtaining the well pattern including heating wells and production wells for in-situ heating production of the target layer, the method further includes: Based on the center position of the current well pattern, a horizontal monitoring well is deployed to monitor the temperature and pressure changes in the horizontal direction of the target layer; The extension direction of the horizontal section of the horizontal monitoring well is parallel to the extension direction of the horizontal section of the heating well.

13. The method according to claim 12, characterized in that After obtaining the well pattern including heating wells and production wells for in-situ heating production of the target layer, the method further includes: A horizontal monitoring well is deployed inside the top plugging layer of the target layer to monitor the hydrocarbon leakage of the top plugging layer, and / or a horizontal monitoring well is deployed inside the bottom plugging layer of the target layer to monitor the hydrocarbon leakage of the bottom plugging layer; The horizontal section extension direction of the horizontal monitoring well is perpendicular to the horizontal section extension direction of the heating well and the production well.

14. The method according to claim 12, characterized in that After obtaining the well pattern including heating wells and production wells for in-situ heating production of the target layer, the method further includes: Based on the center position of the current well network, a vertical monitoring well is deployed to monitor the temperature and pressure changes in the vertical direction.

15. A shale in-situ heating mining well pattern deployment device, characterized in that: include: The vertical heating layer spacing and horizontal heating well spacing ratio optimization module is used to obtain the oil and gas output per unit of electricity corresponding to each set vertical heating layer spacing and horizontal heating well spacing ratio obtained by simulation method based on the relevant geological parameters of the shale target layer and the selected heating well pattern unit structure, and screen out the optimal vertical heating layer spacing and horizontal heating well spacing ratio; A vertical heating layer spacing and horizontal heating well spacing optimization module is used to establish a corresponding relationship between the vertical heating layer spacing of the target layer and the time required for complete conversion of solid organic matter in shale based on data obtained by a simulation method, determine the optimal vertical heating layer spacing in combination with the planned production cycle of the target layer, and determine the optimal horizontal heating well spacing in combination with the ratio of the optimal vertical heating layer spacing to the horizontal heating well spacing; A heating layer number optimization module, used to determine the optimal number of heating layers according to the target layer thickness and the optimal vertical heating layer distance; The heating well network structure optimization module is used to determine the heating well network structure for in-situ heating exploitation of the target layer based on the heating well network unit structure, the optimal horizontal heating well spacing, the optimal vertical heating layer spacing and the optimal number of heating layers.

16. A computer storage medium, characterized in that: The computer storage medium stores computer executable instructions, and when the computer executable instructions are executed by the processor, the shale in-situ heating production well network deployment method described in any one of claims 1 to 14 is implemented.

Images