A well pattern density determination method and device, electronic equipment and storage medium

Abstract

Embodiments of the present application disclose a well pattern density determination method and device, electronic equipment and a storage medium. The method comprises: determining a first mapping relationship between a crude oil production value attribute value and a well pattern density, and a second mapping relationship between a crude oil acquisition cost attribute value corresponding to a resource providing end and the well pattern density based on a previously established relationship model between recovery efficiency and well pattern density; determining an attribute value relationship between the crude oil production value attribute value and the crude oil acquisition cost attribute value when a first obtained value attribute value of the resource providing end in the oil field development process meets a preset target value attribute condition; and determining a target well pattern density corresponding to the target value attribute condition based on the first mapping relationship, the second mapping relationship and the attribute value relationship. The technical solution of the embodiments of the present application can improve the accuracy and rationality of the well pattern density, and save manpower and time resources.

Description

TECHNICAL FIELD

[0001] Embodiments of the present application relate to the technical field of oil reservoir exploitation, and particularly relate to a well pattern density determination method and device, electronic equipment and a storage medium. BACKGROUND

[0002] How to determine the well pattern density is an important content of the oilfield development plan, which directly affects the oilfield development effect and project benefit. At present, the determination of the well pattern density in the oilfield development is still determined by human experience. However, in the process of implementing the present application, it is found that the existing technology at least has the following technical problems: the well pattern density determined by human experience has low accuracy and poor rationality, and is easy to cause waste of human and time resources. SUMMARY

[0003] Embodiments of the present application provide a well pattern density determination method and device, electronic equipment and a storage medium to achieve the purpose of improving the accuracy and rationality of the well pattern density and saving human and time resources.

[0004] According to an aspect of the present application, a well pattern density determination method is provided, comprising:

[0005] determining a first mapping relationship between a crude oil production value attribute value and a well pattern density, and a second mapping relationship between a crude oil acquisition cost attribute value corresponding to a resource providing end and the well pattern density based on a previously established relationship model between recovery efficiency and well pattern density;

[0006] determining an attribute value relationship between the crude oil production value attribute value and the crude oil acquisition cost attribute value when a first obtained value attribute value of the resource providing end in the oilfield development process meets a preset target value attribute condition;

[0007] determining a target well pattern density corresponding to the target value attribute condition based on the first mapping relationship, the second mapping relationship and the attribute value relationship.

[0008] According to another aspect of the present application, a well pattern density determination device is provided, comprising:

[0009] a mapping relationship determination module configured to determine a first mapping relationship between a crude oil production value attribute value and a well pattern density, and a second mapping relationship between a crude oil acquisition cost attribute value corresponding to a resource providing end and the well pattern density based on a previously established relationship model between recovery efficiency and well pattern density;

[0010] an attribute value relationship determination module configured to determine an attribute value relationship between the crude oil production value attribute value and the crude oil acquisition cost attribute value when a first obtained value attribute value of the resource providing end in the oilfield development process meets a preset target value attribute condition;

[0011] a target well pattern density determination module configured to determine a target well pattern density corresponding to the target value attribute condition based on the first mapping relationship, the second mapping relationship and the attribute value relationship.

[0012] According to another aspect of the present application, an electronic device is provided, which comprises:

[0013] at least one processor; and

[0014] a memory in communication with the at least one processor; wherein

[0015] 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 to enable the at least one processor to perform the well pattern density determination method according to any one of the embodiments of the present application.

[0016] According to another aspect of the present application, a computer readable storage medium is provided, which stores computer instructions for enabling a processor to perform the well pattern density determination method according to any one of the embodiments of the present application when executed by the processor.

[0017] The technical solution of the embodiments of the present application determines the first mapping relationship between the crude oil production value attribute value and the well pattern density, and the second mapping relationship between the crude oil acquisition cost attribute value corresponding to the resource providing end and the well pattern density, by using the pre-established relationship model between the recovery rate and the well pattern density; determines the attribute value relationship between the crude oil production value attribute value and the crude oil acquisition cost attribute value when the first obtained value attribute value of the resource providing end in the oilfield development process meets the preset target value attribute condition; and determines the target well pattern density corresponding to the target value attribute condition based on the first mapping relationship, the second mapping relationship and the attribute value relationship. The target well pattern density is determined by using the first mapping relationship, the second mapping relationship and the attribute value relationship, which can quickly and efficiently determine the well pattern density, avoid the problems of wasting human and time resources caused by determining the well pattern density by using artificial experience, and achieve the effects of improving the accuracy and rationality of the well pattern density, and saving human and time resources.

[0018] It should be understood that the content described in this part is not intended to identify key or important features of the embodiments of the present application, nor to limit the scope of the present application. Other features of the present application will become apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0019] In order to make the technical solution in the embodiments of the present application clearer, the drawings needed in the embodiment description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without any creative effort on the basis of these drawings.

[0020] Figure 1 It is a flow chart of a well pattern density determination method according to an embodiment of the present application;

[0021] Figure 2 It is a schematic diagram of the relationship between the value attribute value and the well pattern density according to an embodiment of the present application;

[0022] Figure 3 It is a structural schematic diagram of a well pattern density determination device according to an embodiment of the present application;

[0023] Figure 4 It is a structural schematic diagram of an electronic device for implementing the well pattern density determination method according to an embodiment of the present application. DETAILED DESCRIPTION

[0024] In order to make the technical solution in the embodiments of the present application clearer, the drawings needed in the embodiment description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without any creative effort on the basis of these drawings.

[0025] It should be noted that the terms "first", "second", and the like in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily indicate a specific order or a chronological sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "include" and "comprise" and any variations thereof, are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but can include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0026] Figure 1This is a flowchart of a well pattern density determination method according to an embodiment of the present invention. This embodiment is applicable to determining the well pattern density of oil wells before the oilfield development process. The method can be executed by a well pattern density determination device, which can be implemented in hardware and / or software.

[0027] like Figure 1 As shown, the method in this embodiment may specifically include:

[0028] S110. Based on the pre-established relationship model between recovery rate and well density, determine the first mapping relationship between crude oil production value attribute value and well density, and the second mapping relationship between crude oil acquisition cost attribute value corresponding to resource provider and well density.

[0029] Among them, recovery rate refers to the ratio of the amount of crude oil extracted to the original geological reserves of the oil reservoir, which can be expressed as a decimal; well density is the number of wells per unit area or the size of the development area controlled by a single well, which can also be expressed as a decimal; the value attribute of crude oil production can be the value generated by the crude oil produced after the oil field is developed during the transfer of ownership; the resource provider can be the supplier that provides development resources during the oil field development process, such as the institution undertaking the oil field development task; the cost attribute of crude oil acquisition can be the cost value paid in producing crude oil during the oil field development process.

[0030] It should be noted that those skilled in the art can predetermine the relationship model between recovery rate and well density based on the correspondence between recovery rate and well density during actual oilfield development. For example, the relationship model can be an exponential relationship model, such as the Shelkachov relationship model.

[0031] In practical implementation, the relational model reflects the relationship between recovery rate and well density. By examining the relationship between crude oil production value attribute value and recovery rate, as well as the relational model, the first mapping relationship between crude oil production value attribute value and well density can be determined.

[0032] Optional relational models include:

[0033] R e =E D e -BS

[0034] Among them, R e E represents the recovery rate. D For displacement efficiency, B is the well pattern index, S is the well pattern density, and e is the natural constant.

[0035] Determine a first mapping relationship between the oil production value attribute value and the well pattern density based on a pre-established relationship model between the recovery rate and the well pattern density, including: determining that the first mapping relationship between the oil production value attribute value and the well pattern density satisfies:

[0036] y1=PNR T E D e -BS

[0037] wherein y1 is the oil production value attribute value, P is the oil unit value attribute, N is the oil geological reserves, R T is the recoverable reserves recovery degree, E D is the displacement efficiency, B is the well pattern index, S is the well pattern density, and e is a natural constant.

[0038] Specifically, the mapping relationship between the oil production value attribute value and the well pattern density is determined by the oil unit value attribute, the oil geological reserves of the oil field to be developed, the recoverable reserves recovery degree, the displacement efficiency, and the well pattern index.

[0039] In specific implementation, the second mapping relationship between the oil acquisition cost attribute value and the well pattern density can be determined by the relationship between the oil acquisition cost attribute value and the recovery rate and the relationship model. Optionally, determining the second mapping relationship between the oil acquisition cost attribute value corresponding to the resource providing end and the well pattern density includes: determining that the second mapping relationship between the oil acquisition cost attribute value corresponding to the resource providing end and the well pattern density satisfies:

[0040]

[0041] wherein y2 is the oil acquisition cost attribute value, S is the well pattern density, A is the oil-bearing area, I is the average single-well acquisition cost attribute value, O is the single-well operation cost attribute value, N is the oil geological reserves, R T is the recoverable reserves recovery degree, E D is the displacement efficiency, B is the well pattern index, S is the well pattern density, e is a natural constant, is the basic oil production, λ sp is the proportion of interests between the resource providing ends, P rf is the barrel oil value attribute value.

[0042] It should be noted that the basic oil production can be a pre-set production value before the oil field is developed, such as the oil production set in the technology service contract (TSC). The determination method of the basic oil production may be:

[0043]

[0044] Wherein, Q0 is the converted initial annual base production, D0 is the annual natural decline rate of the base production, which can be expressed by a decimal; T is a preset time limit of the oilfield development process, such as the contract period in the technical service contract; N p0 is the historical cumulative oil production, such as the cumulative oil production before the technical service contract takes effect.

[0045] In this embodiment, the crude oil acquisition cost attribute value can include two parts of the execution material cost attribute value and the execution human cost attribute value that the resource providing end needs to pay; and the sum of the two parts is taken as the crude oil acquisition cost attribute value to reflect the expenditure cost of the resource providing end in the oilfield development process.

[0046] S120, when the first obtained value attribute value of the resource providing end in the oilfield development process meets the preset target value attribute condition, determining the attribute value relationship between the crude oil production value attribute value and the crude oil acquisition cost attribute value.

[0047] Wherein, the first obtained value attribute value can be the difference between the crude oil production value attribute value and the crude oil acquisition cost attribute value, which can be used to reflect the comprehensive value attribute value, such as the profit, obtained by the resource providing end in the oilfield development process. The target value attribute condition can include conditions such as the first obtained value attribute value being maximum, the first obtained value attribute value being minimum, and the first obtained value attribute value being less than a second preset value. The attribute value relationship can reflect the corresponding relationship between the crude oil production value attribute value and the crude oil acquisition cost attribute value.

[0048] In specific implementation, the target value attribute condition includes the first obtained value attribute value being maximum; wherein, the first obtained value attribute value is the difference between the crude oil production value attribute value and the crude oil acquisition cost attribute value. Specifically, when the first obtained value attribute value of the resource providing end in the oilfield development process meets the preset target value attribute condition, the attribute value relationship between the crude oil production value attribute value and the crude oil acquisition cost attribute value can include:

[0049] When the first obtained value attribute value of the resource providing end is maximum, the attribute value relationship is determined as: the derivative of the difference between the crude oil production value attribute value and the crude oil acquisition cost attribute value with respect to the well spacing density is a first preset value.

[0050] It should be noted that those skilled in the art can know that when the difference between the crude oil production value attribute value and the crude oil acquisition cost attribute value is maximum, the derivative of the expression of the difference with respect to the well spacing density can be the first preset value; for example, the first preset value can be zero; or, the first preset value can also be any value close to zero. The relationship formula corresponding to the attribute relationship can be:

[0051]

[0052] Wherein, y1 is the crude oil production value attribute value, y2 is the crude oil acquisition cost attribute value; S is the well pattern density.

[0053] Optionally, the target value attribute condition comprises that the first obtained value attribute value is less than a second preset value; wherein, when the first obtained value attribute value of the resource providing end in the oilfield development process meets the preset target value attribute condition, the attribute value relationship between the crude oil production value attribute value and the crude oil acquisition cost attribute value comprises:

[0054] The attribute value relationship is determined as: the difference between the crude oil production value attribute value and the crude oil acquisition cost attribute value is less than the second preset value.

[0055] Specifically, the second preset value can be any positive number less than 1; for example, the difference between the crude oil production value attribute value and the crude oil acquisition cost attribute value can be 0, and the attribute value relationship can be y1=y2. When the difference is 0, it means that the resource providing end is currently in balance, i.e. the crude oil production value attribute value is equal to the crude oil acquisition cost attribute value.

[0056] S130, based on the first mapping relationship, the second mapping relationship and the attribute value relationship, a target well pattern density corresponding to the target value attribute condition is determined.

[0057] In this embodiment, the difference between the crude oil production value attribute value and the crude oil acquisition cost attribute value, and the relationship between the well pattern density can be determined through the first mapping relationship and the second mapping relationship. Through the attribute value relationship, the corresponding target well pattern density when the target value attribute condition is met can be determined.

[0058] For example, when the target value attribute condition is that the first obtained value attribute value is maximum, i.e. the attribute value relationship is:

[0059]

[0060] Based on the first mapping relationship, the second mapping relationship and the corresponding attribute value relationship, we can get:

[0061]

[0062] Wherein, B is the well pattern index, S gr is the target well pattern density when the first obtained value attribute value is maximum, N is the oil geological reserves, R T is the recoverable reserves recovery degree, E D is the displacement efficiency, P is the unit value attribute of crude oil, λ sp is the proportion of interests between the resource providing ends, P rfis the value attribute value of a barrel of oil, A is the oil-bearing area in the oilfield to be developed, I is the average single-well acquisition cost attribute value, and O is the single-well operation cost attribute value. The obtained formula can be determined by a nonlinear programming method or a curve intersection method to determine the target well spacing density. Through the formula, it can be determined that, as the well spacing density decreases, the total number of wells gradually increases, the first obtained value attribute value first increases and then decreases, and the first obtained value attribute value has a maximum value when the well spacing density is the target well spacing density.

[0063] When the target value attribute condition is that the difference between the crude oil production value attribute value and the crude oil acquisition cost attribute value is less than a second preset value, such as 0.5, and the difference is 0, it indicates that the current income and expenditure of the resource providing end is balanced, that is, the crude oil production value attribute value is equal to the crude oil acquisition cost attribute value, and the attribute value relationship is:

[0064] y1=y2

[0065] Based on the first mapping relationship, the second mapping relationship, and the corresponding attribute value relationship, the following can be obtained:

[0066]

[0067] wherein, S gl is the target well spacing density when the first obtained value attribute value is 0, A is the oil-bearing area in the oilfield to be developed, I is the average single-well acquisition cost attribute value, O is the single-well operation cost attribute value, N is the petroleum geological reserves, R T is the recoverable reserves recovery degree, E D is the displacement efficiency, B is the well spacing index, P is the unit value attribute of crude oil, λ sp is the interest proportion between the resource providing ends, P rf is the value attribute value of a barrel of oil, is the basic crude oil production. It should be noted that the parameters λ sp , and the like can be determined according to the technical service contract in actual application, and the obtained formula can be determined by a nonlinear programming method or a curve intersection method to determine the target well spacing density.

[0068] In this embodiment, after the target well spacing density corresponding to the target value attribute condition is determined, the following is further included: determining a third mapping relationship between the operation production value attribute value and the well spacing density of the operation execution end in the oilfield development process, and a fourth mapping relationship between the operation cost value attribute value and the well spacing density; determining the difference between the operation production value attribute value and the operation cost value attribute value as a second obtained value attribute value, and determining the increase and decrease change relationship between the second obtained value attribute value and the well spacing density based on the third mapping relationship and the fourth mapping relationship.

[0069] The operation execution end is an execution end that executes the oilfield development operation based on the resource provided by the resource providing end. For example, the operation execution end can be a contractor object that completes the oilfield development event and executes the oilfield development operation. The operation generated value attribute value is a value attribute value obtained by the operation execution end due to the execution of the oilfield development. The operation cost value attribute value is a value attribute value paid by the operation execution end due to the execution of the oilfield development. The second obtained value attribute value can reflect a comprehensive value attribute value, such as a profit, obtained by the operation execution end when the operation execution end executes the oilfield development operation. The increase and decrease change relationship is used to reflect the numerical change of the second obtained value attribute value when the well pattern density increases, and the numerical change of the second obtained value attribute value when the well pattern density decreases.

[0070] Specifically, when the well pattern density S is higher than S gl , the recoverable cost of the operation execution end can be completely recovered from the process of transferring the ownership of the crude oil. The operation generated value attribute value can include a cost recovery value attribute value and a value attribute value obtained by the resource providing end for executing the operation. The sum of the cost recovery value attribute value and the value attribute value obtained by the resource providing end for executing the operation can be determined as the operation generated value attribute value. For example, the cost recovered after the execution of the oilfield development and the execution compensation provided by the resource providing end.

[0071] For example, the third mapping relationship can be:

[0072]

[0073] wherein y3 is the operation generated value attribute value, A is an oil-bearing area in the to-be-developed oilfield, I is an average single-well acquisition cost attribute value, S is a well pattern density, O is a single-well operation cost attribute value, N is a petroleum geological reserve, R T is a recoverable reserve recovery degree, E D is a displacement efficiency, B is a well pattern index, is a basic crude oil production, λ c is a proportion of the operation execution end in the technical service contract, P rf is a barrel oil value attribute value, and α is a tax rate.

[0074] For example, the operation cost value attribute value can include an input cost, an operation cost, and a remaining unrecoverable cost. The sum of the input cost, the operation cost, and the unrecoverable cost can be determined as the operation cost value attribute value. The fourth mapping relationship can be:

[0075]

[0076] Wherein, y4 is the operation generated value attribute value, A is the oil-bearing area in the oilfield to be developed, I is the average single well acquisition cost attribute value, S is the well spacing density, O is the single well operation cost attribute value, and δ is the unrecoverable cost. Specifically, the second obtained value attribute value can be:

[0077]

[0078] When y3=y4, the second obtained value attribute value is 0, and the well spacing density determination formula can be:

[0079]

[0080] Wherein, B is the well spacing index, S cl is the well spacing density when the second obtained value attribute value is 0, N is the oil geological reserves, R T is the recoverable reserves recovery degree, E D is the displacement efficiency, δ is the unrecoverable cost, λ c is the operation execution end's right proportion in the technical service contract, P rf is the barrel oil value attribute value, and α is the tax rate. is the base crude oil production.

[0081] Further, based on the third mapping relationship and the fourth mapping relationship, the increase and decrease change relationship between the second obtained value attribute value and the well spacing density can be determined, then the formula corresponding to the second obtained value attribute value can be derived with respect to the well spacing density, and the following formula is obtained:

[0082]

[0083] Through the formula obtained by derivation, it is determined that the increase and decrease change relationship is that the second obtained value attribute value monotonically decreases with the increase of the well spacing density. And, because the second obtained value attribute value monotonically increases with the increase of the well number n t .

[0084] In order to clearly and explicitly show the relationship between the first obtained value attribute value, the second obtained value attribute value and the well spacing density, please refer to Figure 2 . Figure 2 The horizontal axis in the figure represents the well spacing density, the unit is square kilometer / well; the left vertical coordinate represents the first obtained value attribute value, the unit is the first amount; and the right vertical coordinate represents the second obtained value attribute value, the unit is the second amount. The solid line represents the relationship curve between the first obtained value attribute value and the well spacing density, and the dashed line represents the relationship curve between the second obtained value attribute value and the well spacing density, S grThe first obtained value attribute value is maximum. It can be seen that, for the resource providing end, as the well pattern density decreases, the total well number gradually increases, the first obtained value attribute value increases first and then decreases, and there is a maximum value, and the well pattern density corresponding to the maximum value is S gr For the operation performing end, as the well pattern density decreases, the total well number gradually increases, the cumulative oil production in the contract period increases, and the second obtained value attribute value monotonically increases in a certain range.

[0085] In this embodiment, after the target well pattern density corresponding to the target value attribute condition is determined, it further includes: determining whether the target well pattern density is in a preset well pattern density range corresponding to a preset crude oil production; wherein the preset crude oil production includes a preset peak production and / or a preset stable production; if not, generating abnormal information reflecting the abnormality of the target well pattern density for abnormal prompt.

[0086] It should be noted that the peak production and / or the preset stable production of crude oil are preset in the technical service contract, and accordingly, in order to meet the requirements of the well pattern density corresponding to the peak production and / or the well pattern density corresponding to the preset stable production, the determined target well pattern density can be determined again.

[0087] Specifically, based on the technical service contract, a preset well pattern density range corresponding to the preset crude oil production can be determined, and when the target well pattern density is in the preset well pattern density range, it can be ensured that the produced crude oil production meets the requirements of the peak production and / or the preset stable production. Therefore, it can be determined whether the target well pattern density is in the preset well pattern density range; if yes, it means that the oilfield development according to the target well pattern density can meet the production requirements in the technical service contract; if not, it means that the oilfield development according to the target well pattern density does not meet the production requirements in the technical service contract, which means that the currently determined target well pattern density is incorrect. In order to timely remind the user, abnormal information reflecting the abnormality of the target well pattern density can be generated to avoid errors in the oilfield development process, which is beneficial to improve the accuracy of the target well pattern density.

[0088] The technical solution of this invention, through a pre-established relationship model between recovery rate and well density, determines a first mapping relationship between crude oil production value and well density, and a second mapping relationship between crude oil acquisition cost and well density at the resource provider end. It also determines the attribute value relationship between crude oil production value and crude oil acquisition cost when the first acquisition value of the resource provider during oilfield development meets a preset target value attribute condition. Based on the first mapping relationship, the second mapping relationship, and the attribute value relationship, it determines the target well density corresponding to the target value attribute condition. Determining the target well density through the first mapping relationship, the second mapping relationship, and the attribute value relationship enables rapid and efficient determination of the well density, avoiding the waste of human and time resources caused by determining the well density through manual experience. This achieves the effect of improving the accuracy and rationality of well density and saving human and time resources.

[0089] Figure 3 This is a schematic diagram of a well pattern density determination device according to an embodiment of the present invention. This device is used to execute the well pattern density determination method provided in any of the above embodiments. This device and the well pattern density determination methods of the above embodiments belong to the same inventive concept. Details not described in detail in the embodiments of the well pattern density determination device can be found in the embodiments of the well pattern density determination methods described above. Figure 3 As shown, the device includes:

[0090] The mapping relationship determination module 10 is used to determine the first mapping relationship between the crude oil production value attribute value and the well network density, and the second mapping relationship between the crude oil acquisition cost attribute value corresponding to the resource provider and the well network density, based on a pre-established relationship model between the recovery rate and the well network density.

[0091] The attribute value relationship determination module 11 is used to determine the attribute value relationship between the crude oil generation value attribute value and the crude oil acquisition cost attribute value when the first value attribute value obtained by the resource provider in the oilfield development process meets the preset target value attribute condition.

[0092] The target well network density determination module 14 is used to determine the target well network density corresponding to the target value attribute condition based on the first mapping relationship, the second mapping relationship and the attribute value relationship.

[0093] Based on any optional technical solution in the embodiments of the present invention, optionally, the target value attribute condition includes maximizing the first obtained value attribute value; wherein, the first obtained value attribute value is the difference between the crude oil generation value attribute value and the crude oil acquisition cost value; the attribute value relationship determination module 11 includes:

[0094] The first attribute value relationship determining unit is configured to determine the attribute value relationship as a derivative of a difference between the crude oil production value attribute value and the crude oil acquisition cost attribute value with respect to the well pattern density being a first preset value when the first obtained value attribute value of the resource providing end is the maximum.

[0095] On the basis of any optional technical solution in the embodiments of the present application, optionally, the target value attribute condition comprises that the first obtained value attribute value is less than a second preset value.

[0096] The second attribute value relationship determining unit is configured to determine the attribute value relationship as the difference between the crude oil production value attribute value and the crude oil acquisition cost attribute value being less than the second preset value.

[0097] On the basis of any optional technical solution in the embodiments of the present application, optionally, the relationship model comprises:

[0098] R e = E D B S -BS

[0099] wherein R e is the recovery ratio, E D is the displacement efficiency, B is the well pattern index, S is the well pattern density, and e is a natural constant.

[0100] The mapping relationship determining module 10 comprises:

[0101] The first mapping relationship determining unit is configured to determine, based on the relationship model, that a first mapping relationship between the crude oil production value attribute value and the well pattern density satisfies:

[0102] y1 = PNRTE D e -BS ;

[0103] wherein y1 is the crude oil production value attribute value, P is the unit value attribute of crude oil, N is the oil geological reserves, R T is the recoverable reserves recovery degree, E D is the displacement efficiency, B is the well pattern index, S is the well pattern density, and e is a natural constant.

[0104] On the basis of any optional technical solution in the embodiments of the present application, optionally, the mapping relationship determining module 10 comprises:

[0105] The second mapping relationship determining unit is configured to determine that a second mapping relationship between the crude oil acquisition cost attribute value corresponding to the resource providing end and the well pattern density satisfies:

[0106]

[0107] Wherein, y2 is the crude oil acquisition cost attribute value, S is the well pattern density, A is the oil-bearing area, I is the average single well acquisition cost attribute value, O is the single well operation cost attribute value, N is the oil geological reserves, R T is the recoverable reserves recovery degree, E D is the displacement efficiency, B is the well pattern index, S is the well pattern density, e is the natural constant, is the basic crude oil production, λ sp is the proportion of rights between the resource providing end, P rf is the barrel oil value attribute value.

[0108] Optionally, based on any of the optional technical solutions in the embodiments of the present application, further comprising:

[0109] The increase and decrease change relationship determining module is configured to determine a third mapping relationship between the operation generated value attribute value and the well pattern density and a fourth mapping relationship between the operation cost value attribute value and the well pattern density of the operation execution end in the oilfield development process after the target well pattern density corresponding to the target value attribute condition is determined; determine the difference between the operation generated value attribute value and the operation cost value attribute value as a second acquisition value attribute value; and determine the increase and decrease change relationship between the second acquisition value attribute value and the well pattern density based on the third mapping relationship and the fourth mapping relationship.

[0110] Optionally, based on any of the optional technical solutions in the embodiments of the present application, further comprising:

[0111] The abnormality prompting module is configured to determine whether the target well pattern density is within a preset well pattern density range corresponding to a preset crude oil production after the target well pattern density corresponding to the target value attribute condition is determined; wherein, the preset crude oil production includes a preset peak production and / or a preset stable production; and if not, generate abnormal information reflecting the abnormality of the target well pattern density for abnormality prompting.

[0112] The technical scheme of the embodiment of the present application determines a first mapping relationship between the oil production value attribute value and the well pattern density, and a second mapping relationship between the oil acquisition cost attribute value corresponding to the resource providing end and the well pattern density, through the pre-established relationship model of the recovery ratio and the well pattern density; determines the attribute value relationship between the oil production value attribute value and the oil acquisition cost attribute value when the first obtained value attribute value of the resource providing end in the oilfield development process meets the preset target value attribute condition; and determines the target well pattern density corresponding to the target value attribute condition based on the first mapping relationship, the second mapping relationship and the attribute value relationship. The target well pattern density is determined through the first mapping relationship, the second mapping relationship and the attribute value relationship, which can quickly and efficiently determine the well pattern density, avoid the problems of waste of human and time resources caused by manual experience in determining the well pattern density, and achieve the effects of improving the accuracy and rationality of the well pattern density and saving human and time resources.

[0113] It is worth noting that in the embodiments of the well pattern density determination apparatus described above, each unit and module included is only divided according to functional logic, but is not limited to the above division, as long as the corresponding functions can be implemented; in addition, the specific names of each functional unit are only for the convenience of mutual differentiation, and do not limit the protection scope of the present application.

[0114] Figure 4 FIG. 1 is a structural schematic diagram of an electronic device for implementing the well pattern density determination method according to the embodiment of the present application. The electronic device is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular telephones, smart phones, wearable devices (such as helmets, glasses, watches, etc.), and other similar computing devices. The components shown in the figure, their connections, and relationships, and their functions are merely examples, and are not intended to limit the implementation of the present application described and / or claimed herein.

[0115] As Figure 4As shown, the electronic device 20 includes at least one processor 21, and a memory, such as a read-only memory (ROM) 22, a random access memory (RAM) 23, etc., connected to the at least one processor 21 in communication. The memory stores computer programs executable by the at least one processor 21, and the processor 21 can perform various appropriate actions and processes according to the computer programs stored in the read-only memory (ROM) 22 or loaded from the storage unit 28 into the random access memory (RAM) 23. In the RAM 23, various programs and data required for the operation of the electronic device 20 can also be stored. The processor 21, the ROM 22, and the RAM 23 are connected to each other through a bus 24. An input / output (I / O) interface 25 is also connected to the bus 24.

[0116] Various components in the electronic device 20 are connected to the I / O interface 25, including an input unit 26, such as a keyboard, a mouse, etc., an output unit 27, such as various types of displays, a speaker, etc., a storage unit 28, such as a magnetic disk, an optical disk, etc., and a communication unit 29, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 29 allows the electronic device 20 to exchange information / data with other devices through a computer network, such as the Internet, and / or various telecommunication networks.

[0117] The processor 21 can be various general and / or special-purpose processing components having processing and computing capabilities. Some examples of the processor 21 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose 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 21 performs various methods and processes described above, such as the well-pattern density determination method.

[0118] In some embodiments, the well-pattern density determination method can be implemented as a computer program tangibly embodied in a computer readable storage medium, such as the storage unit 28. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 20 via the ROM 22 and / or the communication unit 29. When the computer program is loaded into the RAM 23 and executed by the processor 21, one or more steps of the well-pattern density determination method described above can be performed. Alternatively, in other embodiments, the processor 21 can be configured to perform the well-pattern density determination method by any other appropriate means, such as by means of firmware.

[0119] The various embodiments of the systems and techniques described above can be implemented in digital electronic circuitry, integrated circuitry, a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), a system on a chip (SOC), a load programmable logic device (CPLD), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include implementation in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.

[0120] Computer programs used to implement the processes of the application can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer program

[0121] In the context of the present application, a computer-readable storage medium can be a tangible medium that can contain or store computer programs for use by or in connection with an instruction execution system, apparatus, or device. Computer-readable storage media can include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium will include one or more lines of a program of instructions in a transitory signal, a portable computer diskette, 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 disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0122] To provide for interaction with a user, the systems and techniques described here can 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 a trackball) by which the user can provide input to the electronic device. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.

[0123] The systems and techniques described here can be implemented in a computing system that includes a back end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front end component (e.g., a user computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back end, middleware, or front end components. The components of the system can 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.

[0124] The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. A server can 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 large management difficulty and weak business scalability in traditional physical host and VPS service.

[0125] It should be understood that the various forms of flow shown above can be re-ordered, added to, or deleted from without departing from the scope of the present disclosure. For example, the steps recited in the present disclosure can be executed in parallel, executed in sequence, or executed in a different order, as long as the desired results of the present disclosure are achieved, and the present disclosure is not limited herein.

[0126] The above detailed description does not limit the scope of the present disclosure. It is understood that various modifications, combinations, sub-combinations, and alternatives can be made to the detailed disclosure without departing from the spirit and principles of the present disclosure. Any modifications, equivalent substitutions, improvements, and the like that are made within the spirit and principles of the present disclosure are included in the scope of the present disclosure.

Claims

1. A method of determining well pattern density, characterized by, The method comprises the following steps: determining a first mapping relationship between a crude oil production value attribute value and a well pattern density based on a pre-established relationship model of recovery rate and well pattern density, and a second mapping relationship between a crude oil acquisition cost attribute value corresponding to a resource providing end and the well pattern density; determining an attribute value relationship between the crude oil production value attribute value and the crude oil acquisition cost attribute value when a first obtained value attribute value of the resource providing end in an oilfield development process meets a preset target value attribute condition; determining a target well pattern density corresponding to the target value attribute condition based on the first mapping relationship, the second mapping relationship and the attribute value relationship; the relationship model comprises: ； wherein, is the recovery factor, is the displacement efficiency, is the well pattern index, is the well spacing density, is the natural constant; the first mapping relationship between the crude oil production value attribute value and the well pattern density is determined based on the pre-established relationship model of recovery rate and well pattern density, and comprises: the first mapping relationship between the crude oil production value attribute value and the well pattern density is determined based on the relationship model, and meets: ； wherein, is a value attribute for the crude oil, is a unit value attribute for crude oil, is a petroleum geological reserve, is a recoverable reserve recovery degree, is a displacement efficiency, is a well pattern index, is the well pattern density, is a natural constant; the second mapping relationship between the crude oil acquisition cost attribute value corresponding to the resource providing end and the well pattern density is determined, and comprises: the second mapping relationship between the crude oil acquisition cost attribute value corresponding to the resource providing end and the well pattern density meets: wherein, is the cost attribute value for the crude oil, is the well spacing density, is the oil-bearing area, is the average well cost attribute value, is the well operating cost attribute value, is the oil geological reserves, is the recoverable reserves recovery degree, is the displacement efficiency, is the well pattern index, is the well spacing density, is the natural constant, is the base crude oil production, is the proportion of rights between the resource providing ends, is the barrel oil value attribute value.

2. The method of claim 1, wherein, the target value attribute condition comprises that the first obtained value attribute value is maximum; wherein the first obtained value attribute value is a difference between the crude oil production value attribute value and the crude oil acquisition cost attribute value; the attribute value relationship between the crude oil production value attribute value and the crude oil acquisition cost attribute value when the first obtained value attribute value of the resource providing end in the oilfield development process meets the preset target value attribute condition comprises: when the first obtained value attribute value of the resource providing end is maximum, the attribute value relationship is determined as: a derivative of the difference between the crude oil production value attribute value and the crude oil acquisition cost attribute value with respect to the well pattern density is a first preset value.

3. The method of claim 1, wherein, the target value attribute condition comprises that the first obtained value attribute value is less than a second preset value; wherein, the attribute value relationship between the crude oil production value attribute value and the crude oil acquisition cost attribute value when the first obtained value attribute value of the resource providing end in the oilfield development process meets the preset target value attribute condition comprises: the attribute value relationship is determined as: the difference between the crude oil production value attribute value and the crude oil acquisition cost attribute value is less than the second preset value.

4. The method of claim 1, wherein, after the target well pattern density corresponding to the target value attribute condition is determined, the method further comprises the following steps: determining a third mapping relationship between an operation production value attribute value of an operation execution end in an oilfield development process and the well pattern density, and a fourth mapping relationship between an operation cost value attribute value and the well pattern density; determining a second obtained value attribute value as a difference between the operation production value attribute value and the operation cost value attribute value, and determining an increase / decrease change relationship between the second obtained value attribute value and the well pattern density based on the third mapping relationship and the fourth mapping relationship.

5. The method of claim 1, wherein, After the target well pattern density corresponding to the target value attribute condition is determined, the method further includes: determining whether the target well pattern density is within a preset well pattern density range corresponding to a preset crude oil production, wherein the preset crude oil production includes a preset peak production and / or a preset stable production; if not, generating abnormal information reflecting the abnormality of the target well pattern density for abnormality prompting.

6. A well pattern density determination apparatus characterized by, The method includes: a mapping relationship determination module configured to determine, based on a previously established relationship model between recovery efficiency and well pattern density, a first mapping relationship between a crude oil production value attribute value and a well pattern density, and a second mapping relationship between a crude oil acquisition cost attribute value corresponding to a resource providing end and the well pattern density; an attribute value relationship determination module configured to determine, when a first obtained value attribute value of the resource providing end in an oilfield development process satisfies a preset target value attribute condition, an attribute value relationship between the crude oil production value attribute value and the crude oil acquisition cost attribute value; a target well pattern density determination module configured to determine, based on the first mapping relationship, the second mapping relationship, and the attribute value relationship, a target well pattern density corresponding to the target value attribute condition. The relationship model includes: ； wherein, is the recovery factor, is the displacement efficiency, is the well pattern index, is the well spacing density, is the natural constant; the mapping relationship determination module includes a first mapping relationship determination unit configured to determine, based on the relationship model, that the first mapping relationship between the crude oil production value attribute value and the well pattern density satisfies: ； wherein, is a value attribute for the crude oil, is a unit value attribute for crude oil, is a petroleum geological reserve, is a recoverable reserve recovery degree, is a displacement efficiency, is a well pattern index, is the well pattern density, is a natural constant; the mapping relationship determination module includes a second mapping relationship determination unit configured to determine that the second mapping relationship between the crude oil acquisition cost attribute value corresponding to the resource providing end and the well pattern density satisfies, including: wherein, is the cost attribute value for the crude oil, is the well spacing density, is the oil-bearing area, is the average well cost attribute value, is the well operating cost attribute value, is the oil in place, is the recovery factor, is the displacement efficiency, is the well spacing index, is the well spacing density, is the natural constant, is the base crude oil production, is the equity ratio between the resource providing end, is the barrel oil value attribute value.

7. An electronic device, comprising: The electronic device includes: 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 to enable the at least one processor to execute the well pattern density determination method of any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer instructions for causing the processor to execute the well pattern density determination method of any one of claims 1-5 when executed.

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