Well pattern economy evaluation method, device, equipment and medium

Abstract

The embodiment of the invention discloses a well pattern economy evaluation method and device, equipment and a medium. The method comprises the following steps: calculating an oil phase seepage velocity of a target grid based on a Darcy formula; determining a target flow velocity interval to which a target grid belongs according to an oil phase seepage velocity threshold and the oil phase seepage velocity; and determining an economic evaluation result of the target well pattern according to the target speed interval to which each grid belongs. According to the technical scheme, the target flow velocity interval to which the oil phase seepage velocity of the target grid belongs is determined through the oil phase seepage velocity threshold value, then the economical efficiency evaluation result of the target well pattern is determined according to the target velocity interval to which each grid belongs, the relation between fluid flow in the stratum and economic benefits is established, and the economic efficiency of the well pattern is improved. The well pattern is evaluated from the perspective of economy, namely, the control degree of the well pattern is reflected from the perspective of economy.

Description

Technical Field

[0001] The present invention relates to the technical field of oil and gas development, and in particular to a method, device, equipment and medium for evaluating the economic performance of a well pattern. Background Art

[0002] In the field of oil and gas field development, well network adjustment is an important means to improve the development effect of water-drive reservoirs in the high water-cut period, and the evaluation of well network control degree is of great significance to the decision-making of well network adjustment; when the well network control degree is good, there is no need to adjust the well network, and when the well network control degree is poor, well network adjustment is required.

[0003] At present, the evaluation method of well network control degree mainly judges the quality of well network control degree according to the distribution of remaining oil in the formation. This method only considers the situation of remaining oil in the well network, making the evaluation result rather one-sided. Summary of the invention

[0004] The present invention provides a method, device, equipment and medium for evaluating the economic efficiency of a well network, which can establish the relationship between the flow of fluid in a formation and the economic benefit, and evaluate the well network from the perspective of economic efficiency.

[0005] According to one aspect of the present invention, a method for evaluating the economic efficiency of a well pattern is provided, the method comprising:

[0006] Based on Darcy's formula, the oil phase seepage velocity of the target grid is calculated;

[0007] Determining a target flow rate interval to which a target grid belongs according to an oil phase seepage velocity threshold and the oil phase seepage velocity;

[0008] The economic evaluation results of the target well network are determined according to the target velocity range to which each grid belongs.

[0009] According to another aspect of the present invention, there is provided a device for evaluating the economic efficiency of a well pattern, comprising:

[0010] The oil phase seepage velocity calculation module is used to calculate the oil phase seepage velocity of the target grid based on the Darcy formula;

[0011] A target flow rate interval determination module, used to determine the target flow rate interval to which the target grid belongs according to the oil phase seepage velocity threshold and the oil phase seepage velocity;

[0012] The economic evaluation result determination module is used to determine the economic evaluation result of the target well network according to the target velocity interval to which each grid belongs.

[0013] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0014] at least one processor; and

[0015] a memory communicatively connected to the at least one processor; wherein,

[0016] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for evaluating the well pattern economics described in any embodiment of the present invention.

[0017] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to implement the method for evaluating the well pattern economy described in any embodiment of the present invention when executed by a processor.

[0018] The technical solution of the embodiment of the present application includes: calculating the oil phase seepage velocity of the target grid based on the Darcy formula; determining the target flow velocity interval to which the target grid belongs according to the oil phase seepage velocity threshold and the oil phase seepage velocity; and determining the economic evaluation result of the target well network according to the target velocity interval to which each grid belongs. The technical solution determines the target flow velocity interval to which the oil phase seepage velocity of the target grid belongs through the oil phase seepage velocity threshold, and then determines the economic evaluation result of the target well network according to the target velocity interval to which each grid belongs. The solution establishes the relationship between fluid flow in the formation and economic benefits, and evaluates the well network from the perspective of economy, that is, it reflects the degree of control of the well network from the perspective of economy.

[0019] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0021] Figure 1 is a flow chart of a method for evaluating the economic performance of a well pattern provided in accordance with Example 1 of the present application;

[0022] Figure 2 It is a grid schematic diagram provided according to the first embodiment of the present application;

[0023] Figure 3 is a flow chart of a method for evaluating the economic performance of a well pattern provided in Example 2 of the present application;

[0024] Figure 4 It is a structural schematic diagram of a well pattern economic evaluation device provided according to the third embodiment of the present application;

[0025] Figure 5 It is a structural schematic diagram of an electronic device for implementing a method for evaluating the economic efficiency of a well pattern according to an embodiment of the present application. DETAILED DESCRIPTION

[0026] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only embodiments of a part of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0027] It should be noted that the terms "first", "second", "target", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0028] Embodiment 1

[0029] Figure 1 A flowchart of a method for evaluating the economic performance of a well pattern is provided for the first embodiment of the present application. The embodiment of the present application is applicable to the situation of evaluating the economic performance of a well pattern. The method can be executed by a device for evaluating the economic performance of a well pattern. The device for evaluating the economic performance of a well pattern can be implemented in the form of hardware and / or software. The device for evaluating the economic performance of a well pattern can be configured in an electronic device with data processing capabilities. Figure 1 As shown, the method includes:

[0030] S110, calculating the oil phase seepage velocity of the target grid based on Darcy's formula.

[0031] In the embodiment of the present application, the target grid refers to a grid in the target well network, and the target well network may be a well network pre-divided in the target reservoir. It should be noted that in practical applications, the solution of the present application may require calculating the oil phase seepage velocity for each grid separately. Here, the target grid is used as an example for introduction, and the calculation method of the remaining grids can be the same.

[0032] Specifically, the parameters required for calculating the oil phase seepage velocity of the target grid are obtained, such as grid pressure, oil phase effective permeability, crude oil viscosity, grid length, etc., and then the oil phase seepage velocity of the target grid in the x direction is calculated based on the Darcy formula. Similarly, the oil phase seepage velocity of the target grid in the y direction is calculated based on the Darcy formula. The oil phase seepage velocity of the target grid is calculated according to the oil phase seepage velocity in the x direction and the oil phase seepage velocity in the y direction.

[0033] In the embodiment of the present application, optionally, the oil phase seepage velocity of the target grid is calculated based on the Darcy formula, including: using the following formula to calculate the oil phase seepage velocity of the target grid in the x direction:

[0034]

[0035] Among them, v x is the oil phase seepage velocity of the target grid in the x direction, K0 is the effective permeability of the oil phase, μ0 is the crude oil viscosity, Δx is the grid step, and ΔP is the difference in grid pressure. It should be noted that when calculating the oil phase seepage velocity of the target grid in the x direction, Δx can be the grid step along the x direction; ΔP can be the difference in pressure between adjacent grids along the x direction.

[0036] The oil phase seepage velocity in the y direction of the target grid is calculated using the following formula:

[0037]

[0038] Among them, v y is the oil phase seepage velocity of the target grid in the y direction, K0 is the effective permeability of the oil phase, μ0 is the crude oil viscosity, Δy is the grid step size, and ΔP is the difference in grid pressure. It should be noted that when calculating the oil phase seepage velocity of the target grid in the y direction, Δy can be the grid step size along the y direction; ΔP can be the difference in pressure between adjacent grids along the y direction.

[0039] The oil phase seepage velocity of the target grid is calculated using the following formula:

[0040]

[0041] Among them, v t is the oil phase seepage velocity of the target grid.

[0042] Furthermore, in the well network, the schematic diagram of the grid is as follows Figure 2 As shown, Figure 2 The relevant parameters for calculating the oil phase seepage velocity are also included in Figure 2 In the example, the x direction may be a horizontal direction, and the y direction may be a vertical direction; based on Figure 2 , the process of calculating the oil phase seepage velocity of the target grid can also be expressed by steps A1-A3:

[0043] Step A1, using the following formula to calculate the oil phase seepage velocity in the x direction of the target grid (i.e., the grid with the subscript (n, n)):

[0044]

[0045] Among them, P (n , n) is the grid pressure of the (n, n) grid, P (n , n+1) is the grid pressure of the (n, n+1) grid, x (n , n) is the grid length of the (n, n) grid in the x direction, x (n , n+1) is the grid length of the (n, n+1) grid in the x direction.

[0046] Step A2, using the following formula to calculate the oil phase seepage velocity in the y direction of the target grid (i.e., the grid with a subscript of (n, n)):

[0047]

[0048] Among them, y (n , n) is the grid length of the (n, n) grid in the y direction, y (n+1 , n) is the grid length of the (n+1, n) grid in the y direction.

[0049] Step A3, calculate the oil phase seepage velocity of the target grid using the following formula:

[0050]

[0051] S120, determining a target flow rate interval to which a target grid belongs according to an oil phase seepage velocity threshold and the oil phase seepage velocity.

[0052] Among them, the oil phase seepage velocity threshold can reflect the oil phase seepage velocity corresponding to different economic benefit situations. For example, if the oil phase seepage velocity of a certain grid reaches a certain oil phase seepage velocity threshold, it means that the profit and loss of oil and gas production in the grid are equal, that is, there is no loss in oil and gas production in the grid; obviously, the economic benefit is not only represented by the situation of equal profit and loss, but also by the existence of multiple situations such as equal profit and loss, profit of 10%, profit of 20% and so on within a preset time period, that is, the number of oil phase seepage velocity thresholds can be multiple, and the profit and loss situation reflected by each threshold can be different.

[0053] Specifically, the calculation process of the oil phase seepage velocity threshold can be: calculating the oil production of the wellbore according to the oil production cost, crude oil price, taxes, mining fixed costs, etc., and then converting the oil production of the wellbore into the oil phase seepage velocity threshold for a grid.

[0054] Furthermore, the oil phase seepage velocity and the oil phase seepage velocity threshold can be compared to obtain the target flow velocity interval to which the target grid belongs. For example, if the oil phase seepage velocity threshold is 2, then the flow velocity interval is 3. After obtaining the oil phase seepage velocity of the target grid, it can be determined to which target flow velocity interval it belongs.

[0055] S130, determining an economic evaluation result of the target well pattern according to the target velocity interval to which each grid belongs.

[0056] In the embodiment of the present application, after obtaining the target flow velocity interval to which the target grid belongs, the target flow velocity interval to which other grids belong is calculated in the same manner to obtain the target velocity interval to which each grid belongs. Obviously, the economic efficiency is different for different intervals (i.e., the economic benefits corresponding to different intervals are different), and then the economic evaluation results of the target well network can be determined based on the target velocity interval to which each grid belongs.

[0057] Exemplarily, there are three velocity intervals, and these three intervals reflect different economic benefits. If the velocity interval to which the grid of the target well network belongs has more velocity intervals with good economic benefits, the economic evaluation result of the target well network will be better; otherwise, the economic evaluation result of the target well network will be worse.

[0058] The technical solution of the embodiment of the present application includes: calculating the oil phase seepage velocity of the target grid based on the Darcy formula; determining the target flow velocity interval to which the target grid belongs according to the oil phase seepage velocity threshold and the oil phase seepage velocity; and determining the economic evaluation result of the target well network according to the target velocity interval to which each grid belongs. The technical solution determines the target flow velocity interval to which the oil phase seepage velocity of the target grid belongs through the oil phase seepage velocity threshold, and then determines the economic evaluation result of the target well network according to the target velocity interval to which each grid belongs. The solution establishes the relationship between fluid flow in the formation and economic benefits, and evaluates the well network from the perspective of economy, that is, it reflects the degree of control of the well network from the perspective of economy.

[0059] Embodiment 2

[0060] Figure 3 This is a flow chart of a method for evaluating the economic efficiency of a well pattern provided in Example 2 of the present application. This example of the present application is optimized based on the above example.

[0061] like Figure 3 As shown, the method of the embodiment of the present application specifically includes the following steps:

[0062] S210, calculating the oil phase seepage velocity of the target grid based on Darcy's formula.

[0063] S220, determining a target flow rate interval to which the target grid belongs according to the oil phase seepage velocity threshold and the oil phase seepage velocity.

[0064] In an embodiment of the present application, optionally, the oil phase seepage velocity threshold includes a high seepage velocity threshold and a low seepage velocity threshold; accordingly, according to the oil phase seepage velocity threshold and the oil phase seepage velocity, the target flow velocity interval to which the target grid belongs is determined, including: if the oil phase seepage velocity is less than or equal to the low seepage velocity threshold, the target grid is located in the low flow velocity zone; if the oil phase seepage velocity is greater than the low seepage velocity threshold and less than or equal to the high seepage velocity threshold, the target grid is located in the medium flow velocity zone; if the oil phase seepage velocity is greater than the high seepage velocity threshold, the target grid is located in the high flow velocity zone.

[0065] In the embodiment of the present application, the flow velocity intervals are a low flow velocity zone, a medium flow velocity zone and a high flow velocity zone. The economic benefits corresponding to the low flow velocity zone are relatively low, and the economic benefits corresponding to the high flow velocity zone are relatively high.

[0066] In the embodiment of the present application, optionally, the process of determining the high seepage velocity threshold and the low seepage velocity threshold includes steps B1-B3:

[0067] Step B1, calculating the single well oil production per unit time in the target area within a preset time period, and the single well oil production reflects the oil production of the wellbore under the condition of equal profit and loss.

[0068] The oil production of a single well is calculated using the following formula:

[0069]

[0070] Among them, Q lim is the oil production of a single well, in m 3 / d,ρ o is the density of crude oil, in t / m 3 , C V is the variable cost per ton of oil, in yuan / t, C G is the annual fixed cost of a single well, in ten thousand yuan; P is the crude oil price, in yuan / t; R is the tax per ton of oil, in yuan / t.

[0071] Step B2, substituting the single well oil production into the expression of the hyperbolic decline law of production to obtain the initial oil production of the new well corresponding to the single well oil production during the initial oil production period of the wellbore.

[0072] In the embodiment of the present application, optionally, the expression of the hyperbolic decreasing law is as follows:

[0073]

[0074] Among them, Q0 is the initial oil production of the new well, Q lim is the oil production of a single well, n is the decline index; D0 is the production decline rate, and t is the production time.

[0075] Exemplarily, the initial oil production Q0 of a new well is calculated according to the following formula:

[0076] Q0=Q lim (1+nD0t) 1 / n .

[0077] It should be noted that in the early stage of well production, the oil production is relatively high, which will gradually decrease subsequently. The reduction process can be expressed by the hyperbolic decreasing law.

[0078] Step B3, calculating the low seepage velocity threshold value according to the oil production of a single well, and calculating the high seepage velocity threshold value according to the initial oil production of a new well.

[0079] Specifically, the oil production of a single well reflects the average daily oil production of a well in a year when the profits and losses are equal, and the initial oil production of a new well reflects the initial oil production of a new well in one day when the profits and losses are equal. Therefore, the low seepage velocity threshold corresponding to a grid can be calculated based on the oil production of a single well, and the high seepage velocity threshold corresponding to a grid can be calculated based on the initial oil production of the new well.

[0080] In an embodiment of the present application, optionally, a low seepage velocity threshold is calculated based on the oil production of a single well, and a high seepage velocity threshold is calculated based on the initial oil production of a new well, including: determining the product of a preset constant, the well spacing between wellbores, and the reservoir thickness as a target coefficient; determining the ratio of the oil production of a single well to the target coefficient as the low seepage velocity threshold; and determining the ratio of the initial oil production of a new well to the target coefficient as the high seepage velocity threshold.

[0081] Exemplarily, the preset constant may be 86400.

[0082] The target coefficient can be expressed as:

[0083] 86400×W×H;

[0084] Among them, 86400 is a preset constant, W is the well spacing between wells, the unit is m, and H is the reservoir thickness, the unit is m.

[0085] Exemplarily, the low seepage velocity threshold is calculated using the following formula:

[0086]

[0087] Among them, v tc1 is the low seepage velocity threshold.

[0088] Furthermore, the high seepage velocity threshold is calculated using the following formula:

[0089]

[0090] Among them, v tc2 is the high seepage velocity threshold.

[0091] S230, calculating the area ratios of the grids corresponding to the high flow velocity area, the medium flow velocity area, and the low flow velocity area in the target well pattern.

[0092] After determining the velocity interval corresponding to each grid, obtain the area of ​​each grid; then calculate the grid areas corresponding to the high velocity zone, medium velocity zone and low velocity zone, and calculate the total area, divide the grid area corresponding to the low velocity zone by the total area, and obtain the area ratio of the grid corresponding to the low velocity zone in the target well network; divide the grid area corresponding to the medium velocity zone by the total area, and obtain the area ratio of the grid corresponding to the medium velocity zone in the target well network; divide the grid area corresponding to the high velocity zone by the total area, and obtain the area ratio of the grid corresponding to the high velocity zone in the target well network.

[0093] S240, determining an economic evaluation result of the target well pattern according to the area ratios of the high velocity zone, the medium velocity zone, and the low velocity zone.

[0094] Obviously, the higher the proportion of the high velocity zone area, the better the economic evaluation result of the target well network, that is, the target well network can bring better economic benefits; the higher the proportion of the low velocity zone area, the worse the economic evaluation result of the target well network, that is, the worse the economic benefits of the target well network.

[0095] The technical solution of the embodiment of the present application calculates the average daily oil production of a wellbore in a year under the condition of equal profit and loss as the single well oil production, and calculates the initial oil production of a new well based on the single well oil production, which reflects the initial oil production of a new well in a day under the condition of equal profit and loss, and then calculates the low seepage velocity threshold corresponding to a grid based on the single well oil production, and calculates the high seepage velocity threshold corresponding to a grid based on the initial oil production of the new well, and determines the velocity interval to which each grid belongs based on the low seepage velocity threshold and the high seepage velocity threshold, as well as the oil phase seepage velocity of the grid, and then determines the economic evaluation result of the target well network based on the area proportion of each velocity interval in the target well network. This technical solution takes into account the economic benefits of fluid flow in the reservoir, and determines the boundaries and proportions of the seepage velocity partitions, thereby quantitatively evaluating the degree of well network control (i.e., the economic evaluation result of the well network), and provides a basis for the decision-making of well network adjustment in the high water cut period.

[0096] For example, in a specific embodiment, the oil production of a single well is calculated according to the following parameters: the annual fixed cost of a single well is 1.4799 million yuan, the density of crude oil is 0.85 t / m 3 , the crude oil price is 3000 yuan / t, the tax per ton of oil is 600 yuan / t, and the variable cost per ton of oil is 1800 yuan / t. The calculated oil production per well is 7.95m 3 / d.

[0097] Furthermore, the initial oil production of the new well is calculated based on the following parameters: The oil production of a single well is 7.95m 3 / d; the time for the oil reservoir to decline to the economic limit is 30 years, the production decline index is 0.9, and the production decline rate is 0.2133. The initial oil production of the new well is calculated to be 53.74m 3 / d.

[0098] The well spacing is set to 235.9 m, the oil layer thickness is 10 m, and the low seepage velocity threshold v is calculated. tc1 3.9×10 -6 m / s, low seepage velocity threshold v tc2 2.6×10 -5 m / s.

[0099] Furthermore, according to the oil phase seepage velocity of the target grid, the velocity interval to which the target grid belongs is determined, and the degree of well network control is evaluated (the degree of well network control is the economic evaluation result of the well network, and the better the well network control, the better the economic benefit). The division of the velocity interval is shown in Table 1

[0100] Table 1 Flow rate interval division table

[0101]

[0102] The areas occupied by different velocity intervals are statistically shown in Table 2. It can be seen that the well pattern control degree of the Y2 layer is higher, while the well pattern control degree of the Y1 layer is poorer.

[0103] Table 2 Statistics of area proportions of each flow rate interval

[0104] Layer number Y1 Y2 High velocity area ratio / % 40.4 64.9 The proportion of medium flow rate area / % 39.6 33 Low velocity area ratio / % 20.0 2.1

[0105] Embodiment 3

[0106] Figure 4 This is a schematic diagram of the structure of a well pattern economic evaluation device provided in Example 3 of the present application. The device can execute the well pattern economic evaluation method provided in any embodiment of the present invention and has the corresponding functional modules and beneficial effects of the execution method. Figure 4 As shown, the device comprises:

[0107] The oil phase seepage velocity calculation module 310 is used to calculate the oil phase seepage velocity of the target grid based on the Darcy formula;

[0108] A target flow rate interval determination module 320 is used to determine the target flow rate interval to which the target grid belongs according to the oil phase seepage velocity threshold and the oil phase seepage velocity;

[0109] The economic evaluation result determination module 330 is used to determine the economic evaluation result of the target well pattern according to the target velocity interval to which each grid belongs.

[0110] The technical solution of the embodiment of the present application includes: an oil phase seepage velocity calculation module 310, which is used to calculate the oil phase seepage velocity of the target grid based on the Darcy formula; a target flow rate interval determination module 320, which is used to determine the target flow rate interval to which the target grid belongs according to the oil phase seepage velocity threshold and the oil phase seepage velocity; an economic evaluation result determination module 330, which is used to determine the economic evaluation result of the target well network according to the target velocity interval to which each grid belongs. The present technical solution determines the target flow rate interval to which the oil phase seepage velocity of the target grid belongs through the oil phase seepage velocity threshold, and then determines the economic evaluation result of the target well network according to the target velocity interval to which each grid belongs. The present solution establishes the relationship between fluid flow in the formation and economic benefits, and evaluates the well network from the perspective of economy, that is, it reflects the degree of control of the well network from the perspective of economy.

[0111] Optionally, the oil phase seepage velocity threshold includes a high seepage velocity threshold and a low seepage velocity threshold;

[0112] The target flow rate interval determination module 320 includes:

[0113] A low flow rate area determination unit, used for determining that the target grid is located in the low flow rate area if the oil phase seepage velocity is less than or equal to a low seepage velocity threshold;

[0114] a medium flow rate area determination unit, for determining that the target grid is located in the medium flow rate area if the oil phase seepage velocity is greater than a low seepage velocity threshold and less than or equal to a high seepage velocity threshold;

[0115] The high flow rate area determination unit is used to determine that the target grid is located in the high flow rate area if the oil phase seepage velocity is greater than a high seepage velocity threshold.

[0116] Optionally, the device further includes a threshold determination module, specifically including:

[0117] A single well oil production calculation unit is used to calculate the single well oil production per unit time in the target area within a preset time period, and the single well oil production reflects the oil production of the wellbore under the condition of equal profit and loss;

[0118] A new well initial oil production calculation unit is used to substitute the single well oil production into the expression of the hyperbolic decline law of production to obtain the new well initial oil production corresponding to the single well oil production during the initial oil production period of the wellbore;

[0119] The threshold determination unit is used to calculate the low seepage velocity threshold according to the oil production of a single well, and to calculate the high seepage velocity threshold according to the initial oil production of a new well.

[0120] Optionally, including: the expression of the hyperbolic decreasing law is as follows:

[0121]

[0122] Among them, Q0 is the initial oil production of the new well, Q lim is the oil production of a single well, n is the decline index; D0 is the production decline rate, and t is the production time.

[0123] Optionally, the threshold determination unit comprises:

[0124] A target coefficient determination unit is used to determine the product of a preset constant, the well spacing between wells, and the reservoir thickness as the target coefficient;

[0125] A low seepage velocity threshold determination unit, used to determine the ratio of the single well oil production to the target coefficient as the low seepage velocity threshold;

[0126] The high seepage velocity threshold determination unit is used to determine the ratio of the initial oil production of the new well to the target coefficient as the high seepage velocity threshold.

[0127] Optionally, the economic evaluation result determination module 330 includes:

[0128] An area ratio calculation unit is used to calculate the area ratio of the grids corresponding to the high velocity area, the medium velocity area and the low velocity area in the target well pattern;

[0129] The economic evaluation result determination unit is used to determine the economic evaluation result of the target well network according to the area proportion of the high flow rate area, the medium flow rate area and the low flow rate area.

[0130] Optionally, the oil phase seepage velocity calculation module 310 includes:

[0131] The first oil phase seepage velocity calculation unit is used to calculate the oil phase seepage velocity of the target grid in the x direction using the following formula:

[0132]

[0133] Among them, v x is the oil phase seepage velocity of the target grid in the x direction, K0 is the effective permeability of the oil phase, μ0 is the crude oil viscosity, Δx is the grid step size, and ΔP is the difference in grid pressure.

[0134] The second oil phase seepage velocity calculation unit is used to calculate the oil phase seepage velocity of the target grid in the y direction using the following formula:

[0135]

[0136] Among them, v y is the oil phase seepage velocity of the target grid in the y direction, K0 is the effective permeability of the oil phase, μ0 is the crude oil viscosity, Δy is the grid step size, and ΔP is the difference in grid pressure.

[0137] The oil phase seepage velocity calculation unit is used to calculate the oil phase seepage velocity of the target grid using the following formula:

[0138]

[0139] Among them, v t is the oil phase seepage velocity of the target grid.

[0140] A well pattern economics evaluation device provided in an embodiment of the present application can execute a well pattern economics evaluation method provided in any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.

[0141] Embodiment 4

[0142] Figure 5 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0143] like Figure 5 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0144] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0145] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as a method for evaluating the economic performance of a well pattern.

[0146] In some embodiments, the method for evaluating the well pattern economics may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method for evaluating the well pattern economics described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute the method for evaluating the well pattern economics in any other appropriate manner (e.g., by means of firmware).

[0147] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0148] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0149] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0150] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0151] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0152] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0153] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0154] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for evaluating the economic efficiency of a well pattern, characterized in that: include: Based on Darcy's formula, the oil phase seepage velocity of the target grid is calculated; Determining a target flow rate interval to which a target grid belongs according to an oil phase seepage velocity threshold and the oil phase seepage velocity; The economic evaluation results of the target well network are determined according to the target velocity range to which each grid belongs.

2. The method according to claim 1, characterized in that: The oil phase seepage velocity threshold comprises a high seepage velocity threshold and a low seepage velocity threshold; According to the oil phase seepage velocity threshold and the oil phase seepage velocity, determining the target velocity interval to which the target grid belongs includes: If the oil phase seepage velocity is less than or equal to the low seepage velocity threshold, the target grid is located in the low velocity area; If the oil phase seepage velocity is greater than the low seepage velocity threshold and less than or equal to the high seepage velocity threshold, the target grid is located in the medium velocity zone; If the oil phase seepage velocity is greater than the high seepage velocity threshold, the target grid is located in a high velocity area.

3. The method according to claim 2, characterized in that The process of determining the high seepage velocity threshold and the low seepage velocity threshold includes: Calculate the oil production of a single well per unit time in the target area within a preset time period, and the oil production of a single well reflects the oil production of the wellbore under the condition of equal profit and loss; Substituting the single well oil production into the expression of the hyperbolic decline law of production, the initial oil production of the new well corresponding to the single well oil production during the initial oil production period of the wellbore is obtained; The low seepage velocity threshold is calculated based on the oil production of a single well, and the high seepage velocity threshold is calculated based on the initial oil production of a new well.

4. The method according to claim 3, characterized in that include: The expression of the hyperbolic decreasing law is as follows: Among them, Q0 is the initial oil production of the new well, Q lim is the oil production of a single well, n is the decline index; D0 is the production decline rate, and t is the production time.

5. The method according to claim 3, characterized in that: The low seepage velocity threshold is calculated based on the oil production of a single well, and the high seepage velocity threshold is calculated based on the initial oil production of a new well, including: The product of a preset constant, the well spacing between wells, and the reservoir thickness is determined as a target coefficient; The ratio of the single well oil production to the target coefficient is determined as a low seepage velocity threshold; The ratio of the initial oil production of the new well to the target coefficient is determined as the high seepage velocity threshold.

6. The method according to claim 2, characterized in that According to the target velocity range of each grid, the economic evaluation results of the target well pattern are determined, including: Calculate the area ratio of the grids corresponding to the high velocity area, the medium velocity area and the low velocity area in the target well network; The economic evaluation results of the target well network are determined based on the area proportions of the high flow velocity zone, the medium flow velocity zone and the low flow velocity zone.

7. The method according to claim 1, characterized in that Based on Darcy's formula, the oil phase seepage velocity of the target grid is calculated, including: The oil phase seepage velocity of the target grid in the x direction is calculated using the following formula: Among them, v x is the oil phase seepage velocity of the target grid in the x direction, K0 is the effective permeability of the oil phase, μ0 is the crude oil viscosity, Δx is the grid step size, and ΔP is the difference in grid pressure. The oil phase seepage velocity in the y direction of the target grid is calculated using the following formula: Among them, v y is the oil phase seepage velocity of the target grid in the y direction, K0 is the effective permeability of the oil phase, μ0 is the crude oil viscosity, Δy is the grid step size, and ΔP is the difference in grid pressure. The oil phase seepage velocity of the target grid is calculated using the following formula: Among them, v t is the oil phase seepage velocity of the target grid.

8. A device for evaluating the economic performance of a well pattern, characterized in that: include: The oil phase seepage velocity calculation module is used to calculate the oil phase seepage velocity of the target grid based on the Darcy formula; A target flow rate interval determination module, used to determine the target flow rate interval to which the target grid belongs according to the oil phase seepage velocity threshold and the oil phase seepage velocity; The economic evaluation result determination module is used to determine the economic evaluation result of the target well network according to the target velocity interval to which each grid belongs.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for evaluating the well pattern economics according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for evaluating the economic efficiency of a well pattern according to any one of claims 1 to 7 when the instructions are executed.

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