CN112901134B

CN112901134B - Distance determination method, speed prediction method, distance determination device, speed prediction device, electronic equipment and storage medium

Info

Publication number: CN112901134B
Application number: CN202110264727.0A
Authority: CN
Inventors: 李承龙; 郑宪宝; 刘洪剑; 靳占杰; 赵欣; 吴宝峰; 赵然; 舒渝; 张宇; 何鑫迪
Original assignee: Petrochina Co Ltd; Daqing Oilfield Co Ltd
Current assignee: Petrochina Co Ltd; Daqing Oilfield Co Ltd
Priority date: 2021-03-03
Filing date: 2021-03-03
Publication date: 2022-04-26
Anticipated expiration: 2041-03-03
Also published as: CN112901134A

Abstract

The invention relates to a method and a device for distance determination and speed prediction, an electronic device and a storage medium, and relates to the technical field of development and adjustment of water-drive oil fields, wherein the method for distance determination comprises the following steps: determining a plurality of injection and production flow units between a plurality of production wells and a crack respectively according to the crack of the water injection well and a plurality of production wells around the water injection well; and determining the distance from the crack to the corresponding oil production well in the plurality of injection-production flow units according to the angle formed by the crack and the well row and the plurality of injection-production flow units. The disclosed embodiments enable determination of the distance from the fracture to the corresponding production well in the plurality of injection-production flow cells.

Description

Distance determination method, speed prediction method, distance determination device, speed prediction device, electronic equipment and storage medium

Technical Field

The disclosure relates to the technical field of development and adjustment of water-drive oil fields, and in particular to a method and a device for distance determination and speed prediction, an electronic device and a storage medium.

Background

With the continuous deepening of oil field development, the residual recoverable reserve of medium and high permeability oil reservoirs gradually becomes smaller, and low and ultra-low permeability oil reservoirs become main replacing objects of crude oil yield. The method has the advantages of low (the permeability is generally between 10 and 50 mD), extremely low (the permeability is generally less than 10mD), low yield of the permeable oil reservoir, high development cost, great difficulty in controlling water and controlling degressive effect, and need of taking adjustment measures according to water breakthrough time to inhibit water content and degressive increase and improve well group and block effect benefits in order to improve the development effect of the low-grade oil field and realize cost reduction and efficiency improvement, so that the method accurately predicts the water breakthrough time of the oil production well and the block and has important practical significance for the efficient development of the low-grade oil field.

At present, the existing prediction method for the propulsion speed of injected water mainly has the following defects:

in the aspect of reservoir development characteristics, the low and ultra-low permeability reservoir has obvious pressure-sensitive effect, serious permeability loss and strong reservoir heterogeneity, and the permeability of the same well group in each direction is different, and the influence of the pressure-sensitive effect and the permeability anisotropy is not considered in the conventional method.

In terms of fluid seepage characteristics, low and ultra-low permeability reservoir fluids are in non-Darcy seepage and are influenced by pressure sensitivity effect and permeability loss to cause dynamic change of starting pressure gradient, and the fact that the starting pressure gradient is changed is not considered in the conventional method.

In the aspect of well pattern and well spacing, in the development process, in order to establish an effective driving system, the low and ultra-low permeability reservoirs usually adopt a well arrangement mode with small row spacing and large well spacing, and the prior achievement only considers the condition that the row spacing is the same as the well spacing.

In the aspect of measure adjustment, firstly, common fracturing is an important measure for increasing injection and increasing yield in a mine field, artificial fractures often have a certain included angle with a well drainage direction, but the prior achievement only considers the condition parallel to the well drainage direction; secondly, the flow pressure at the bottom of each oil production well in the same well group is different in order to realize uniform displacement, and the problem is not considered in the prior art.

Based on the reasons, the difference between the prediction of the propulsion speed of the injected water and the actual field is large, the main characteristics of low and ultra-low permeability oil reservoirs cannot be described perfectly, the development and adjustment of oil fields cannot be guided effectively, the applicability is poor, and the requirements of the oil fields cannot be met.

Disclosure of Invention

The disclosure provides a distance determination method and device, a speed prediction method and device, electronic equipment and a storage medium technical scheme.

According to an aspect of the present disclosure, there is provided a method of distance determination, including:

determining a plurality of injection and production flow units between a plurality of production wells and a crack respectively according to the crack of the water injection well and a plurality of production wells around the water injection well;

and determining the distance from the crack to the corresponding oil production well in the plurality of injection-production flow units according to the angle formed by the crack and the well row and the plurality of injection-production flow units.

Preferably, the method for determining a plurality of injection and production flow units between a plurality of production wells and a fracture according to the fracture of the water injection well and a plurality of production wells around the water injection well comprises the following steps:

segmenting the crack to obtain a plurality of crack points including crack end points;

constructing a plurality of injection-production flow cells between the plurality of production wells and the fracture based on the first location point of the water injection well, the plurality of fracture points, and the plurality of second location points of the plurality of production wells, respectively.

Preferably, before determining the distance from the fracture to the corresponding oil production well in the plurality of injection-production flow units according to the angle formed by the fracture and the well row and the plurality of injection-production flow units, the angle formed by the fracture and the well row needs to be determined, and the method comprises the following steps:

acquiring the position of the crack and the position of the well row;

determining an angle formed by the fracture and the well row according to the position of the fracture and the position of the well row;

and/or the presence of a gas in the interior of the container,

the method for determining the distance from the crack to the corresponding oil production well in the plurality of injection-production flow units according to the angle formed by the crack and the well row and the plurality of injection-production flow units respectively comprises the following steps:

acquiring a plurality of set angle intervals;

and determining the distance from the crack to the corresponding oil production well in the injection-production flow units according to the angle, the plurality of set angle intervals, the corresponding row spacing and well spacing of the adjacent oil production wells, the length of the crack and the distance from the point on the crack in the injection-production flow units to the corresponding water injection well.

Preferably, the method for determining the distance from the fracture to the corresponding production well in the plurality of injection-production flow units according to the angle, the plurality of set angle intervals, the row spacing and the well spacing corresponding to the adjacent production wells, the length of the fracture and the distance from the point on the fracture in the plurality of injection-production flow units to the corresponding water injection well comprises the following steps:

determining a preset calculation formula from the crack to corresponding oil production wells in the plurality of injection and production flow units according to the angle and the plurality of set angle intervals respectively;

and determining the distance from the crack to the corresponding oil production well in the plurality of injection and production flow units based on the preset calculation formula, the corresponding row spacing and well spacing of the adjacent oil production wells, the length of the crack and the distance from the point on the crack in the plurality of injection and production flow units to the corresponding water injection well.

According to an aspect of the present disclosure, there is provided a method of speed prediction, including: the method of distance determination as described above; and the number of the first and second groups,

acquiring the history of an injection and production well, fracturing construction parameters, indoor experimental data, a plurality of matrix equivalent permeabilities corresponding to the directions from the water injection well to the plurality of production wells, a first stress sensitivity coefficient corresponding to the water injection well, a plurality of second stress sensitivity coefficients of the plurality of production wells, and a plurality of distances from the water injection well to the plurality of production wells;

and predicting the propelling speed of the injected water into the corresponding oil production well based on the history of the injection and production well, the fracturing construction parameters, the indoor experimental data, the matrix equivalent permeabilities, the first stress sensitivity coefficient, the second stress sensitivity coefficients, the distances and the distance from the crack to the corresponding oil production well in the injection and production flow units.

Preferably, the injection and production well history, fracturing construction parameters and indoor experimental data at least comprise: bottom hole flowing pressure of the oil production well, bottom hole flowing pressure of the water injection, original formation pressure, starting pressure gradient regression coefficient, fluid viscosity, water saturation of an oil layer, porosity of the oil layer and fracture width;

and/or the presence of a gas in the interior of the container,

the injection and production well history, fracturing construction parameters and indoor experimental data further comprise: the water yield rising speed, and the determination method of the water yield rising speed comprises the following steps:

acquiring the water saturation of an oil layer;

drawing a water saturation curve of the oil layer according to the water saturation of the oil layer;

obtaining a first derivative of the water saturation curve to obtain the rising speed of the water production rate;

and/or the presence of a gas in the interior of the container,

before the first stress sensitive coefficient is obtained, the first stress sensitive coefficient needs to be determined, and the determination method comprises the following steps:

obtaining a first permeability, a first coefficient and a first exponential coefficient of the bottom of the water injection well;

obtaining a first exponential factor according to the first permeability and the first exponential coefficient;

obtaining the first stress-sensitive coefficient based on the first coefficient and the first exponential factor;

and/or the presence of a gas in the interior of the container,

before the second stress sensitivity coefficient is obtained, the second stress sensitivity coefficient needs to be determined, and the determination method comprises the following steps:

acquiring a second permeability, a second coefficient and a second exponential coefficient of the bottom of the oil production well;

obtaining a second index factor according to the second permeability and the second index coefficient;

obtaining the second stress sensitivity coefficient based on the second coefficient and the second index factor;

and/or the presence of a gas in the interior of the container,

before obtaining a plurality of distances from the water injection well to the plurality of production wells, determining the plurality of distances, wherein the determining method comprises the following steps:

acquiring first position information corresponding to a water injection well and second position information corresponding to a production well;

determining the plurality of distances based on the first location information and the second location information.

According to an aspect of the present disclosure, there is provided an apparatus for distance determination, including:

the first determining unit is used for respectively determining a plurality of injection and production flow units between a plurality of production wells and the crack according to the crack of the water injection well and a plurality of production wells around the water injection well;

and the second determining unit is used for determining the distances from the crack to corresponding oil production wells in the plurality of injection and production flow units according to the angle formed by the crack and the well row and the plurality of injection and production flow units.

According to an aspect of the present disclosure, there is provided an apparatus for speed prediction, including: the apparatus for determining a distance as described above, further comprising:

the system comprises an acquisition unit, a data processing unit and a data processing unit, wherein the acquisition unit is used for acquiring the history of an injection and production well, fracturing construction parameters, indoor experimental data, a plurality of matrix equivalent permeabilities corresponding to the directions from the water injection well to the plurality of production wells, a first stress sensitivity coefficient corresponding to the water injection well, a plurality of second stress sensitivity coefficients of the plurality of production wells and a plurality of distances from the water injection well to the plurality of production wells;

and the prediction unit is used for predicting the propelling speed of the injected water into the corresponding oil production well based on the injection and production well history, the fracturing construction parameters, the indoor experimental data, the matrix equivalent permeabilities, the first stress sensitivity coefficient, the second stress sensitivity coefficients, the distances and the distance from the crack to the corresponding oil production well in the injection and production flow units.

According to an aspect of the present disclosure, there is provided an electronic device including:

a processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to: a method of performing the distance determination; and/or, a method of the above speed prediction.

According to an aspect of the present disclosure, there is provided a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the above-described method of distance determination; and/or, a method of the above speed prediction.

In the embodiment of the disclosure, the disclosure provides a method and a device for distance determination and speed prediction, an electronic device and a storage medium technical scheme, so as to solve the problems that the main characteristics of low and ultra-low permeability oil reservoirs cannot be perfectly described, the development and adjustment of oil fields cannot be effectively guided, and the applicability is poor, and meanwhile, the problem that the requirements of the oil fields cannot be met.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the disclosure.

Fig. 1 shows a flow chart of a method of the distance determination according to an embodiment of the present disclosure;

FIG. 2 illustrates an inverse nine-spot area well pattern schematic in accordance with an embodiment of the present disclosure;

FIG. 3 shows a schematic diagram of a technical solution according to an embodiment of the present disclosure applied to a Yangtze oilfield C102-F64 well group;

FIG. 4 is a block diagram illustrating an electronic device 800 in accordance with an exemplary embodiment;

fig. 5 is a block diagram illustrating an electronic device 1900 according to an example embodiment.

Detailed Description

Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. In the drawings, like reference numbers can indicate functionally identical or similar elements. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.

The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.

The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the term "at least one" herein means any one of a plurality or any combination of at least two of a plurality, for example, including at least one of A, B, C, and may mean including any one or more elements selected from the group consisting of A, B and C.

Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements and circuits that are well known to those skilled in the art have not been described in detail so as not to obscure the present disclosure.

It is understood that the above-mentioned method embodiments of the present disclosure can be combined with each other to form a combined embodiment without departing from the logic of the principle, which is limited by the space, and the detailed description of the present disclosure is omitted.

In addition, the present disclosure also provides a device, an electronic device, a computer-readable storage medium, and a program for corresponding distance determination and speed prediction, which can be used to implement any distance determination and speed prediction method provided by the present disclosure, and the corresponding technical solutions and descriptions and corresponding descriptions in the methods section are not repeated.

Fig. 1 shows a flowchart of the method of distance determination according to an embodiment of the present disclosure, as shown in fig. 1, the method of distance determination includes: step S101, respectively determining a plurality of injection and production flow units between a plurality of production wells and a crack according to the crack of the water injection well and a plurality of production wells around the water injection well; and S102, determining the distances from the cracks to corresponding oil production wells in the plurality of injection-production flow units according to the angles formed by the cracks and the well rows and the plurality of injection-production flow units. The method solves the problems that the main characteristics of low and ultra-low permeability oil reservoirs cannot be perfectly described at present, the development and adjustment of oil fields cannot be effectively guided, and the applicability is poor, and simultaneously solves the problem that the requirements of the oil fields cannot be met.

And S101, respectively determining a plurality of injection and production flow units between a plurality of production wells and the cracks according to the cracks of the water injection well and a plurality of production wells around the water injection well.

That is, in the embodiments of the present disclosure, it is necessary to separately determine distances from fractures of the water injection well to a plurality of production wells around the water injection well. For example, if there are 8 production wells, the distances from the fractures of the injection wells to the 8 production wells need to be determined.

In the present disclosure, the method for determining a plurality of injection and production flow units between a plurality of production wells and a fracture according to the fracture of a water injection well and a plurality of production wells around the water injection well comprises:

segmenting the crack to obtain a plurality of crack points including crack end points; constructing a plurality of injection-production flow cells between the plurality of production wells and the fracture based on the first location point of the water injection well, the plurality of fracture points, and the plurality of second location points of the plurality of production wells, respectively.

In this embodiment or other possible embodiments of the present disclosure, the fractures on both sides of the first location point of the water injection well are segmented, for example, the fractures on both sides of the first location point of the water injection well are respectively segmented into 2 segments, that is, one fracture point is respectively disposed on the fractures on both sides of the first location point of the water injection well, the starting point and the ending point on both sides of the fracture are also one fracture point, and a plurality of injection and production flow units between a plurality of production wells and the fracture are respectively constructed based on the first location point of the water injection well, the plurality of fracture points, and a plurality of second location points of the plurality of production wells.

Specifically, the method of constructing a plurality of injection-production flow cells between a plurality of production wells and a plurality of fractures based on a first location point of the water injection well, the plurality of fracture points, and a plurality of second location points of the plurality of production wells, respectively, comprises: and determining 2 points which are nearest to a plurality of second position points of the plurality of oil production wells from the first position points and the plurality of fracture points respectively, and determining a region enclosed by the 2 points and the second position points which are nearest to the 2 points, wherein the region is a plurality of injection and production flow units between the plurality of oil production wells and the fractures.

FIG. 2 illustrates an inverse nine-spot area well pattern schematic in accordance with an embodiment of the present disclosure. As shown in fig. 2, the fractures on both sides of the first location point of the water injection well are segmented, in the embodiment of the present disclosure, the fractures on both sides of the first location point may be segmented averagely, so as to obtain 4 segments of fractures; taking the starting point and the end point of each section of crack as crack points to obtain a plurality of crack points; and respectively determining 2 points nearest to a plurality of second position points of the plurality of oil production wells from the first position points and the plurality of fracture points, and determining regions I-VIII surrounded by the 2 points and the second position points nearest to the 2 points to form 8 regions, wherein the 8 regions are 8 injection and production flow units between 8 oil production wells (A well-H well) and the fracture.

In an embodiment of the present disclosure or other possible embodiments, a method for predicting a cross-flow channel is further disclosed, including: acquiring water breakthrough cracks of an oil production well and development cracks of a water injection well (the water breakthrough cracks or the development cracks are collectively called cracks); and predicting a channeling channel between injection wells and production wells according to the communication relation between the water-breakthrough cracks and the development cracks.

In the embodiment of the disclosure or other possible embodiments, the fracture water breakthrough type oil production well can be identified according to the change rule of parameters such as the water content of the oil production well, the daily liquid yield and the like; in a water content curve of the oil production well at a certain time point or in a short period, the content water amount is greatly increased (more than 10-20 percent), and simultaneously, the daily liquid yield is increased; the oil production well is a water-meeting type oil production well with cracks, namely the oil production well has water-meeting cracks.

In the present disclosure, prior to acquiring water breakthrough of a production well, a method of determining water breakthrough of the production well includes: acquiring the water content and/or daily liquid yield of an oil production well and a first set value corresponding to the water content and/or daily liquid yield; determining water breakthrough cracks of the oil production well according to the water content and/or daily liquid yield of the injection and production well and the first set value; and predicting a channeling channel between injection wells and production wells according to the communication relation between the water-breakthrough cracks and the development cracks.

Specifically, the method for determining the water breakthrough cracks of the oil production well according to the water content and/or the daily fluid production amount of the injection and production well and a first set value corresponding to the water content and/or the daily fluid production amount comprises the following steps: acquiring a time point or a time period corresponding to the water content and/or the daily liquid yield of the oil well; if the water content and/or the daily liquid yield of the oil well are/is larger than or equal to the first set value in the time point or the time period, determining that the oil production well has water breakthrough cracks; otherwise, determining that the water-break crack does not exist in the oil production well. And the values of the first set values corresponding to the water content and/or the daily liquid production amount can be the same or different.

More specifically, if the water content and/or daily liquid yield of the oil well is greater than or equal to the first set value in the time point or the time period, determining that the oil production well has water breakthrough; otherwise, determining that the oil production well has no water-breakthrough cracks, comprising: in the time point or the time period, if the water content of the oil well is greater than or equal to a first set value corresponding to the water content of the injection and production well, generating a first condition; otherwise, determining that no water-break crack exists in the oil production well; under the first condition, in the time point or the time period, if the daily liquid production is greater than or equal to a first set value corresponding to the daily liquid production; determining that the oil production well has water-breakthrough cracks; otherwise, determining that the water-break crack does not exist in the oil production well.

For example, in the embodiment of the present disclosure, the first set value corresponding to the water content of the injection and production well may be 20%, and the first set value corresponding to the daily liquid production may be 10%; obviously, a person skilled in the art can determine the first set value corresponding to the water content of the injection and production well and the first set value corresponding to the daily liquid production according to actual needs.

In an embodiment of the present disclosure, before determining, according to a developed fracture of a water injection well and a plurality of production wells around the water injection well, a plurality of injection and production flow units between the plurality of production wells and the developed fracture, respectively, or before acquiring the developed fracture of the water injection well, the developed fracture of the water injection well needs to be determined, where the determining method includes: acquiring the horizon flow rate and a second set value of the water injection well; and determining the development crack of the water injection well according to the horizon flow rate of the water injection well and the second set value.

In an embodiment of the present disclosure or other possible embodiments, before obtaining a horizon flow rate for a water injection well, a method of determining the horizon flow rate for the water injection well includes: acquiring the injection amount corresponding to each unit surface area of a well bore of the water injection well, which is in contact with the actual water absorption thickness, and the effective displacement pressure gradient; and determining the horizon flow rate of the water injection well according to the injection amount corresponding to each unit surface area and the effective displacement pressure gradient.

In an embodiment of the present disclosure or other possible embodiments, before obtaining the injection amount per unit surface area of the wellbore of the water injection well, which is in contact with the actual water absorption thickness, the injection amount per unit surface area needs to be determined, and the determining method includes: acquiring the perimeter of a shaft, the actual water absorption thickness and the injection amount of the water injection well; and determining the injection amount corresponding to each unit surface area of the shaft of the water injection well contacted with the actual water absorption thickness according to the shaft perimeter, the actual water absorption thickness and the injection amount.

In an embodiment of the present disclosure or other possible embodiments, before obtaining the effective displacement pressure gradient, it is necessary to determine the effective displacement pressure gradient, and the method for determining includes: acquiring the injection and production pressure gradient and the starting pressure gradient of the water injection well; and determining the effective displacement pressure gradient according to the injection-production pressure gradient and the starting pressure gradient.

In the embodiment of the disclosure or other possible embodiments, the development overall process water absorption profile data is taken as a research object, the mobility analysis method is utilized to analyze the mobility change condition of the water injection well in each small layer in the overall process of development, and the development crack of the water injection well in each layer is judged according to mobility amplification and size.

Specifically, the present disclosure provides a specific method of the horizon flow rate of the water injection well, and a formula corresponding to the mobility at the bottom of the water injection well is as follows:

the above method of determining the horizon flow rate of an injection well may be understood by one skilled in the art with reference to the above formula corresponding to the mobility at the bottom of the injection well.

In the above formula: d₁Is the perimeter of the well bore of the water injection well, m; h is₀Actual water absorption thickness, m, for each water injection well; r is the injection-production well spacing, m; lambda starting pressure gradient, MPa/m; k is the reservoir original permeability, mD; p_wfThe bottom flowing pressure of the oil production well is MPa; p_iwfIs the bottom flowing pressure of the water injection well. q. q.s_iwfThe injection quantity of the water injection well.

Wherein d is₁·h₀The surface area of the well bore of the water injection well in contact with the actual water absorption thickness;

the pressure gradient of the injection and production is increased,

effectively displacing the pressure gradient.

In an embodiment of the present disclosure or other possible embodiments, the method for determining a developing fracture of a water injection well according to a horizon flow rate of the water injection well and the second set value includes: acquiring a time point or a time period corresponding to the horizon flow rate of the water injection well; if the horizon flow rate of the water injection well is greater than or equal to the second set value in the time point or the time period, determining that a developing crack exists in the water injection well; otherwise, determining that the water injection well does not have a developing fracture.

In the implementation of the present disclosure, before the acquiring of the water breakthrough of the production well and the development fracture of the water injection well, it is necessary to determine whether the production well has the water breakthrough and whether the water injection well has the development fracture; if the oil production well has water-break cracks, generating a first acquisition condition; if the water injection well has a development crack, generating a second acquisition condition; and acquiring the crack of the oil production well and the developed crack of the water injection well only when the first acquisition condition and the first acquisition condition are met.

And S102, determining the distances from the cracks (developing cracks) to corresponding oil production wells in the injection and production flow units according to the angles formed by the cracks (developing cracks) and the well rows and the injection and production flow units.

In the embodiment of the disclosure, at present, a low and ultra-permeability oil field is developed in a well pattern form with large well spacing and small row spacing, production is improved by matching with pressure improvement measures, and the factors such as row spacing, cracks (developed cracks) and well row angles are not considered in the prior art, which is not in line with the oil field reality.

By dividing the range of the injection-production flow unit between each oil production well and the crack (developing crack), a distance calculation formula (preset calculation formula) between each oil production well and the crack (developing crack) is deduced according to the range of the injection-production flow unit.

In the present disclosure, before determining the distance from the fracture to the corresponding production well in the plurality of injection-production flow units according to the angle formed by the fracture and the well bank and the plurality of injection-production flow units, the angle formed by the fracture and the well bank needs to be determined, and the method includes: acquiring the position of the crack and the position of the well row; and determining the angle formed by the fracture and the well row according to the position of the fracture and the position of the well row.

As shown in fig. 2, the well rows are the connections of the production wells laterally adjacent to the injection wells. For example: the straight lines fitted by the well F, the water injection well and the well B are well rows; shortest distance d of cracks on oil production well and water injection well_X。

In an embodiment of the present disclosure or other possible embodiments, the method for determining an angle formed by a fracture and a well row according to the position of the fracture and the position of the well row comprises: extracting a plurality of location points of the location of the fracture; fitting based on a plurality of position points to obtain a crack straight line corresponding to the crack; the angle, i.e., angle θ in fig. 2, is obtained based on the fracture line and the line corresponding to the well row.

In the disclosure, the method for determining the distance from the fracture to the corresponding oil production well in the plurality of injection and production flow units according to the angle formed by the fracture and the well row and the plurality of injection and production flow units respectively comprises the following steps: acquiring a plurality of set angle intervals; and determining the distance from the crack to the corresponding oil production well in the injection-production flow units according to the angle, the plurality of set angle intervals, the corresponding row spacing and well spacing of the adjacent oil production wells, the length of the crack and the distance from the point on the crack in the injection-production flow units to the corresponding water injection well.

In the embodiment of the disclosure or other possible embodiments, the disclosure considers the well position, the array distance, the fracture and the well array angle of the oil production well, and deduces the distance d between the fracture and different oil production wells under different fracture and well array angles (table 1) based on different well positions such as side wells, corner wells, water well array wells and the like (see fig. 2)_XAnd the method is more suitable for the actual situation of a mine field. Distance d of crack from different producing well_XThe selection method of the calculation formula comprises the following steps: firstly, judging the angle theta distribution interval formed by the cracks and the well rows, finding a corresponding table (judging according to the table 1), and then specifically determining the distance d between the cracks and the wells according to the positions of the oil production wells (judging according to the figure 2)_X。

TABLE 1 distance d of fractures from different production wells under different fracture-to-well placement angle θ conditions_XFormula selection object

Crack and well bank angle theta (absolute value)	Distance d of crack from different producing well_XSelecting an object
		0°＜θ≤57.296·arctan(d·L^-1)	TABLE 2
57.296·arctan(d·L^-1)＜θ≤90°	TABLE 3
		90°＜θ≤57.296·[π-arctan(d·L^-1)]	TABLE 4
57.296·[π-arctan(d·L^-1)]＜θ≤180°	TABLE 5

In the disclosure, the method for determining the distance from the fracture to the corresponding production well in the plurality of injection and production flow units according to the angle, the plurality of set angle sections, the row spacing and the well spacing corresponding to the adjacent production wells, the length of the fracture, and the distance from the point on the fracture in the plurality of injection and production flow units to the corresponding water injection well respectively comprises: determining a preset calculation formula from the crack to corresponding oil production wells in the plurality of injection and production flow units according to the angle and the plurality of set angle intervals respectively; and determining the distance from the crack to the corresponding oil production well in the plurality of injection and production flow units based on the preset calculation formula, the corresponding row spacing and well spacing of the adjacent oil production wells, the length of the crack and the distance from the point on the crack in the plurality of injection and production flow units to the corresponding water injection well.

More specifically, the distance d between the fracture (developing fracture) and the producing well_XCan be obtained by the preset calculation formulas in tables 2 to 5, wherein X is A-H and corresponds to the oil production wells of the A well and the H well respectively, and the distance d between the crack and the oil production well_XThe distance from the crack to a certain production well.

TABLE 2 azimuthal angle 0 DEG < theta > 57.296 · arctan (d · L)^-1) Distance of fracture from different producing wells

TABLE 3 azimuth 57.296 · arctan (d · L)^-1) The distance between the crack and different oil production wells when the angle is less than or equal to theta and less than or equal to 90 DEG

TABLE 4 azimuthal angle 90 ° < θ ≦ 57.296 · [ π -arctan (d · L)^-1)]Distance of fracture from different producing wells

TABLE 5 azimuthal angle 57.296 · [ π -arctan (d · L)^-1)]The distance between the crack and different oil production wells when theta is less than or equal to 180 DEG

In the formula: theta is the included angle between the crack and the well arrangement direction, and DEG; l is the well spacing (distance of adjacent producing wells in the lateral direction), m; l is the distance between any point on the crack and the midpoint of the crack, the distance between the point on the crack and the water injection well is the shortest, and m is the distance between the point on the crack and the midpoint of the crack; d is the row spacing (the distance of adjacent producing wells in the longitudinal direction), m; f is the crack length, m. The partial parameters can be obtained by counting the block well pattern parameters and the fracturing construction parameters.

On the other hand, the method for predicting the speed is further provided, meanwhile, the well channeling tendency of the development crack of the water injection well is considered, and the propelling speed of the injected water entering the corresponding oil production well is predicted under the condition that the development crack has the well channeling tendency.

A method of determining whether a well cross-flow trend exists for the developing fracture, comprising: establishing a channeling index evaluation system according to dynamic data of the whole development process of the water injection well to obtain a weight matrix and a membership matrix; obtaining a fuzzy comprehensive evaluation result according to the product of the weight matrix and the membership matrix; and determining the well channeling trend of the development crack of the water injection well according to the fuzzy comprehensive judgment result and the set judgment value limit.

Specifically, the method for establishing the cross-flow index evaluation system according to the dynamic data of the whole development process of the water injection well is mainly to select (select) 6 indexes of water absorption intensity, daily water injection amount, apparent water absorption index, fluid production intensity, daily fluid yield and water content to establish the cross-flow index evaluation system by taking the dynamic data of the whole development process as a main index.

Specifically, the method for establishing a channeling index evaluation system according to dynamic data of the whole development process of the water injection well to obtain a weight matrix and a membership matrix comprises the following steps: acquiring dynamic data of a development overall process of a certain oil production well and a corresponding water injection well; determining a reference number sequence according to the dynamic data of the whole development process, and determining a comparison number sequence according to the determined reference number sequence; the comparison sequence is a data sequence consisting of factors influencing the channeling index evaluation system, and the reference sequence is a data sequence consisting of factors reflecting the channeling index evaluation system; constructing a matrix according to the reference number sequence and the comparison number sequence; standardizing elements in the matrix to obtain a standardized matrix; and obtaining a weight matrix and a membership matrix according to the standardized matrix.

Specifically, the method for obtaining the weight matrix and the membership matrix according to the normalized matrix includes: obtaining a correlation coefficient matrix according to the standardized matrix, and obtaining a correlation degree according to the correlation coefficient matrix; obtaining a weight matrix based on the correlation degree and a preset weight calculation formula; and obtaining a membership matrix based on the standardized comparison number array in the standardized matrix.

For example, the comparison sequence includes at least: water absorption strength, daily water injection quantity, apparent water absorption index, fluid production strength, daily fluid yield and water content; the reference number series is the maximum value of the comparison number series, for example, the reference number series is respectively 6 maximum values of water absorption intensity, daily water injection quantity, apparent water absorption index, fluid production intensity, daily fluid production quantity and water content; and establishing a channeling index evaluation system according to 6 indexes of water absorption intensity, daily water injection quantity, apparent water absorption index, fluid production intensity, daily fluid yield and water content, wherein a reference number sequence is determined according to the dynamic data of the whole development process, and a reference number sequence is determined according to the comparison number sequence, and the reference number sequence is the maximum value of each row of the comparison number sequence.

For example, reference is made to the array matrix B: b ═ B₁ b₂ … b_n)^T；

The evaluation index is used as a comparison sequence A:

the reference sequence B ═ B₁ b₂ … b_n)^TEach element of (A) is

The maximum value corresponding to each row, each row of the comparison array is respectively water absorption intensity, daily water injection amount, apparent water absorption index, liquid collection intensity, daily liquid yield and water content, and each row of the comparison array is respectively different in water absorption intensity, daily water injection amount, apparent water absorption index, liquid collection intensity, daily liquid yield and water content corresponding to time points or time periods.

Constructing a matrix from the reference sequence and the comparison sequence, there being a matrix (A B):

and standardizing the elements in the matrix to obtain a standardized matrix. The normalization process is performed by subtracting the mean of all elements from each element of the matrix (A B) and dividing by the standard deviation of all elements.

And obtaining a weight matrix and a membership matrix according to the standardized matrix. Specifically, the method for obtaining the membership matrix according to the normalized matrix comprises the following steps: and obtaining a correlation coefficient matrix according to the standardized matrix, and obtaining the correlation degree according to the correlation degree. The detailed method comprises the following steps: -extracting respectively a normalized comparison series and a normalized reference series in said matrix (A B); respectively subtracting the standardized comparison number series from the standardized reference number series to obtain a plurality of rows of difference values; respectively carrying out absolute value processing on the difference values to obtain a plurality of rows of absolute value difference values; and determining a maximum value and a minimum value according to the multiple rows of absolute value differences respectively; and determining a correlation coefficient matrix based on the multi-column absolute value difference, the maximum value, the minimum value and the acquired resolution coefficient.

In this embodiment of the present disclosure or other possible embodiments, the calculation formula of each element in the correlation coefficient matrix is:

Δ_i(j)＝|a_i(j)-b(j)|；

in the formula: ρ -the resolution factor, is usually 0.5.

Δ_imin、Δ_imax-is the minimum and maximum difference of the absolute difference of the comparison sequence and its corresponding reference sequence.

In an embodiment of the present disclosure, the method for obtaining the correlation according to the correlation coefficient matrix includes: extracting the correlation coefficient of each column of the correlation coefficient matrix; and respectively averaging the correlation coefficients of the columns to obtain the correlation degree.

In this embodiment of the present disclosure or other possible embodiments, the calculation formula of the association degree is:

degree of association

In the embodiment of the present disclosure, a weight matrix is obtained based on the association degree and a preset weight calculation formula.

Determining the weight of each evaluation index based on the association degree, wherein the preset weight calculation formula is as follows:

obtaining a weight matrix: Δ ═ Δ (Δ)₁ Δ₂ … Δ_m)。

Specifically, the method for obtaining the membership matrix according to the normalized matrix comprises the following steps: and obtaining a membership matrix based on the standardized comparison number array in the standardized matrix. That is, the maximum value a of the normalized comparison sequence is determined from the normalized comparison sequence_imaxAnd a minimum value a_imin(ii) a Each element a of the series of normalized comparison numbers_i(j) The maximum and minimum of the normalized comparison series determine each element in the membership matrix.

The method adopts half-trapezoid distribution to calculate the membership degree, and adopts a preset weight calculation formula:

obtaining a membership matrix:

in the embodiment of the disclosure or other possible embodiments, a fuzzy comprehensive evaluation result is obtained according to the product of the weight matrix and the membership matrix; and determining the channeling tendency of the development crack of the water injection well according to the fuzzy comprehensive evaluation result and the set evaluation value limit.

Specifically, the fuzzy comprehensive evaluation result Γ is Δ · Μ. The set judgment value limit can be 0.5, and if the fuzzy comprehensive judgment result is greater than or equal to the set judgment value limit, the development crack of the water injection well has a channeling tendency; otherwise, the developing crack of the water injection well has no channeling tendency.

The method for speed prediction comprises the following steps: the method of distance determination as described above; acquiring the history of an injection and production well, fracturing construction parameters, indoor experimental data, a plurality of matrix equivalent permeabilities corresponding to the directions from the water injection well to the plurality of production wells, a first stress sensitivity coefficient corresponding to the water injection well, a plurality of second stress sensitivity coefficients of the plurality of production wells, and a plurality of distances from the water injection well to the plurality of production wells; and predicting the propelling speed of the injected water into the corresponding oil production well based on the history of the injection and production well, the fracturing construction parameters, the indoor experimental data, the matrix equivalent permeabilities, the first stress sensitivity coefficient, the second stress sensitivity coefficients, the distances and the distance from the crack to the corresponding oil production well in the injection and production flow units.

Specifically, since there are a plurality of production wells, it is necessary to obtain a plurality of matrix equivalent permeabilities corresponding to the directions from the water injection well to the plurality of production wells, respectively. For example, since the number of the plurality of production wells is 8, it is necessary to obtain 8 matrix equivalent permeabilities corresponding to the directions of the 8 production wells of the plurality of production wells, respectively.

In the present disclosure, the injection and production well history, fracturing construction parameters, and indoor experimental data at least include: bottom hole flowing pressure of the oil production well, bottom hole flowing pressure of the water injection, original formation pressure, starting pressure gradient regression coefficient, fluid viscosity, water saturation of an oil layer, porosity of the oil layer and fracture width.

In the embodiment of the disclosure or other possible embodiments, the bottom hole flowing pressure P of the Xth oil production well can be obtained by counting the history of the injection and production wells, fracturing construction parameters and indoor experimental data_XwfBottom flowing pressure P of water injection well_iwfOriginal formation pressure P_iStarting the pressure gradient regression coefficient a, the fluid viscosity mu and the water saturation S_wAnd water production rate rise speed f'_w(S_w) Porosity phi, developing crack width F_wAnd the like.

In this disclosure, the history of injection and production well, fracturing construction parameters, indoor experimental data, still include: the water yield rising speed, and the determination method of the water yield rising speed comprises the following steps: acquiring the water saturation of an oil layer; drawing a water saturation curve of the oil layer according to the water saturation of the oil layer; and solving a first derivative of the water saturation curve to obtain the rising speed of the water production rate.

In the present disclosure, before obtaining the first stress sensitivity coefficient, it is necessary to determine the first stress sensitivity coefficient, and the determining method includes: obtaining a first permeability, a first coefficient and a first exponential coefficient of the bottom of the water injection well; obtaining a first exponential factor according to the first permeability and the first exponential coefficient; and obtaining the first stress sensitivity coefficient based on the first coefficient and the first exponential factor.

In this disclosure, before obtaining the second stress sensitivity coefficient, it is necessary to determine the second stress sensitivity coefficient, and the determining method includes: acquiring a second permeability, a second coefficient and a second exponential coefficient of the bottom of the oil production well; obtaining a second index factor according to the second permeability and the second index coefficient; and obtaining the second stress sensitivity coefficient based on the second coefficient and the second index factor.

In embodiments of the present disclosure or other possible embodiments, a second stress sensitivity coefficient M near the production well_oFirst stress sensitivity coefficient M near water injection well_wCan be obtained by the following formula, respectively. Aiming at the problem that the stress sensitivity of the reservoir is not considered in the prior achievement and the actual condition of the low and ultra-low permeability oil field is not met, the first stress sensitivity coefficient and the second stress sensitivity coefficient near a water injection well and a production well are respectively considered in the method, so that the method is more suitable for the actual condition of the oil field and the second stress sensitivity coefficient M near the production well_oFirst stress sensitivity coefficient M near water injection well_wThe specific calculation formula of (A) is as follows:

parameter interpretation: k_WIs a first permeability, mD, near the bottom of the water injection well; k_XThese parameters may be obtained from a statistical injection and production well static database for a second permeability near the bottom of the production well. Wherein, theThe first coefficient and the first exponential coefficient at the bottom of the water injection well are 0.0432 and-0.1298 respectively; the second coefficient of the bottom of the oil production well and the second coefficient are 0.0432 and-0.1298 respectively; it is obvious to those skilled in the art that the first coefficient and the first exponential coefficient at the bottom of the water injection well and the second coefficient and the second exponential coefficient at the bottom of the oil production well can be adjusted according to actual needs.

Meanwhile, before obtaining a plurality of matrix equivalent permeabilities corresponding to the directions from the water injection well to the plurality of oil production wells, a plurality of matrix equivalent permeabilities corresponding to the directions from the water injection well to the plurality of oil production wells need to be determined, and the determining method comprises the following steps: acquiring a first permeability of the bottom of a water injection well and an effective thickness of the water injection well; obtaining second permeability of the bottoms of the plurality of oil production wells and effective thickness of the plurality of oil production wells; determining a plurality of matrix equivalent permeabilities for a plurality of production well directions based on the first permeability at the bottom of the water injection well, the effective thickness of the water injection well, the second permeability at the bottom of the plurality of production wells, and the effective thickness of the plurality of production wells, respectively.

In embodiments of the present disclosure or other possible embodiments, the matrix equivalent permeability K of the water injection well to each production well direction_WXWill be obtained by the following equation. Aiming at the problem that the existing achievement does not consider the bottom permeability of the water injection well and the bottom permeability of the oil production well simultaneously in order to facilitate operation, but only considers the bottom permeability of the oil production well, which is not consistent with the actual condition of the oil field, the invention considers the bottom permeability of the water injection well and the bottom permeability of the oil production well simultaneously, and processes the equivalent permeability of the matrix between the water injection well and the oil production well by a formula K_WX。

Matrix equivalent permeability from water injection well to each oil production well

Parameter interpretation: k_WIs a first permeability, mD, near the bottom of the water injection well; h_WM is the effective thickness of the water injection well; k_X(ii) a second permeability, mD, near the bottom of the xth production well; h_XIs the effective thickness of the Xth oil production well, m. These parameters can be annotated by statisticsAnd obtaining a static database of the production well.

In the present disclosure, before obtaining a plurality of distances from the water injection well to the plurality of production wells, it is necessary to determine the plurality of distances, and the determining method includes: acquiring first position information corresponding to a water injection well and second position information corresponding to a production well; determining the plurality of distances based on the first location information and the second location information.

In this disclosure, in an embodiment or other possible embodiments, the first location information and the second location information may be two-dimensional coordinate information or three-dimensional coordinate information, and this disclosure provides a specific method for determining the plurality of distances by using the first location information and the second location information under the two-dimensional coordinate information.

Injection-production well spacing Z of oil production well in any direction_XCan be obtained by the following formula.

In the formula: a is_x、a_yRespectively the abscissa and ordinate, m, of the production well; b_x、b_yRespectively the abscissa and ordinate, m, of the water injection well. These parameters may be obtained from a static database of injection and production wells.

The present disclosure presents a specific calculation formula for predicting the propulsion speed of injected water into a corresponding production well in the plurality of injection and production flow units based on the injection and production well history, the fracturing construction parameters, the laboratory experimental data, the plurality of matrix equivalent permeabilities, the first stress sensitivity coefficient, the plurality of second stress sensitivity coefficients, the plurality of distances, and the distance of the fracture to the corresponding production well in the plurality of injection and production flow units:

parameter interpretation: v. of_XThe propelling speed for injected water is m/d; p_XwfFor bottom hole flowing pressure of the Xth oil production well，MPa；P_iwfIs the bottom flowing pressure of the water injection well, MPa; p_iOriginal formation pressure, MPa; m_oIs the stress sensitivity coefficient near the oil production well, MPa^-1For example, the stress sensitivity coefficient at the bottom of a production well; m_wIs the stress sensitivity coefficient near the water injection well, MPa^-1For example, the stress sensitivity coefficient at the bottom of the injection well; a is a starting pressure gradient regression coefficient; μ is the fluid viscosity of water, mPa · s; s_wThe water saturation of the oil layer; f. of_w′(S_w) As the water saturation is S_wRate of water production increase,%; phi is the porosity of the oil layer; k_WXThe matrix equivalent permeability, mD, in the direction from the water injection well to the oil production well; d_XThe distance between the crack and the oil production well, m; f_wIs the crack width, m; z_XIs the distance between the oil production well and the water injection well, m.

The main body of the distance determination and speed prediction method may be any processing device, for example, the distance determination and speed prediction method may be performed by a terminal device or a server or other processing device, where the terminal device may be a User Equipment (UE), a mobile device, a user terminal, a cellular phone, a cordless phone, a Personal Digital Assistant (PDA), a handheld device, a computing device, a vehicle-mounted device, a wearable device, or the like. In some possible implementations, the distance determination and velocity prediction methods may be implemented by a processor calling computer readable instructions stored in a memory.

It will be understood by those skilled in the art that in the method of the present invention, the order of writing the steps does not imply a strict order of execution and any limitations on the implementation, and the specific order of execution of the steps should be determined by their function and possible inherent logic.

The present disclosure also provides a device for distance determination, including: the first determining unit is used for respectively determining a plurality of injection and production flow units between a plurality of production wells and the crack according to the crack of the water injection well and a plurality of production wells around the water injection well; and the second determining unit is used for determining the distances from the crack to corresponding oil production wells in the plurality of injection and production flow units according to the angle formed by the crack and the well row and the plurality of injection and production flow units.

The present disclosure also proposes a device for speed prediction, comprising: the device for determining the distance comprises a device for determining the distance and an acquisition unit, wherein the acquisition unit is used for acquiring the history of an injection and production well, fracturing construction parameters, indoor experimental data, a plurality of matrix equivalent permeability corresponding to the direction from the water injection well to the plurality of production wells, a first stress sensitivity coefficient corresponding to the water injection well, a plurality of second stress sensitivity coefficients of the plurality of production wells and a plurality of distances from the water injection well to the plurality of production wells; and the prediction unit is used for predicting the propelling speed of the injected water into the corresponding oil production well based on the injection and production well history, the fracturing construction parameters, the indoor experimental data, the matrix equivalent permeabilities, the first stress sensitivity coefficient, the second stress sensitivity coefficients, the distances and the distance from the crack to the corresponding oil production well in the injection and production flow units.

In some embodiments, functions of or modules included in the apparatus provided in the embodiments of the present disclosure may be used to execute the method described in the above method embodiments, and specific implementation thereof may refer to the description of the above method embodiments, and for brevity, will not be described again here.

The method is essentially based on a prediction method of the propulsion speed of the injected water of the low-permeability oilfield reverse nine-point method well pattern, compared with the existing method, the method has the advantages that the consideration factors are more comprehensive, the pressure-sensitive effect, the variable starting pressure gradient, the fracture length, the fracture and well arrangement angle, the arrangement distance, the equivalent permeability and the like are considered for the first time, and the propulsion speed of the injected water of the reverse nine-point method well pattern can be calculated. The achievement can provide scientific basis and guidance for the optimization adjustment of the injection and production parameters and the optimization design of the fracturing parameters of the oil field well pattern.

Embodiments of the present disclosure also provide a computer-readable storage medium having stored thereon computer program instructions, which when executed by a processor, implement the above-mentioned method. The computer readable storage medium may be a non-volatile computer readable storage medium.

An embodiment of the present disclosure further provides an electronic device, including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to the above distance determination method; and/or, a method of the above speed prediction. The electronic device may be provided as a terminal, server, or other form of device.

Fig. 4 is a block diagram illustrating an electronic device 800 in accordance with an example embodiment. For example, the electronic device 800 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, or the like terminal.

Referring to fig. 4, electronic device 800 may include one or more of the following components: processing component 802, memory 804, power component 806, multimedia component 808, audio component 810, input/output (I/O) interface 812, sensor component 814, and communication component 816.

The processing component 802 generally controls overall operation of the electronic device 800, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing components 802 may include one or more processors 820 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 802 can include one or more modules that facilitate interaction between the processing component 802 and other components. For example, the processing component 802 can include a multimedia module to facilitate interaction between the multimedia component 808 and the processing component 802.

The memory 804 is configured to store various types of data to support operations at the electronic device 800. Examples of such data include instructions for any application or method operating on the electronic device 800, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 804 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.

The power supply component 806 provides power to the various components of the electronic device 800. The power components 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the electronic device 800.

The multimedia component 808 includes a screen that provides an output interface between the electronic device 800 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the electronic device 800 is in an operation mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

The audio component 810 is configured to output and/or input audio signals. For example, the audio component 810 includes a Microphone (MIC) configured to receive external audio signals when the electronic device 800 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 804 or transmitted via the communication component 816. In some embodiments, audio component 810 also includes a speaker for outputting audio signals.

The I/O interface 812 provides an interface between the processing component 802 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.

The sensor assembly 814 includes one or more sensors for providing various aspects of state assessment for the electronic device 800. For example, the sensor assembly 814 may detect an open/closed state of the electronic device 800, the relative positioning of components, such as a display and keypad of the electronic device 800, the sensor assembly 814 may also detect a change in the position of the electronic device 800 or a component of the electronic device 800, the presence or absence of user contact with the electronic device 800, orientation or acceleration/deceleration of the electronic device 800, and a change in the temperature of the electronic device 800. Sensor assembly 814 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 816 is configured to facilitate wired or wireless communication between the electronic device 800 and other devices. The electronic device 800 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 816 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 816 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the electronic device 800 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.

In an exemplary embodiment, a non-transitory computer-readable storage medium, such as the memory 804, is also provided that includes computer program instructions executable by the processor 820 of the electronic device 800 to perform the above-described methods.

Fig. 5 is a block diagram illustrating an electronic device 1900 according to an example embodiment. For example, the electronic device 1900 may be provided as a server. Referring to fig. 5, electronic device 1900 includes a processing component 1922 further including one or more processors and memory resources, represented by memory 1932, for storing instructions, e.g., applications, executable by processing component 1922. The application programs stored in memory 1932 may include one or more modules that each correspond to a set of instructions. Further, the processing component 1922 is configured to execute instructions to perform the method of distance determination described above; and/or, a method of the above speed prediction.

The electronic device 1900 may also include a power component 1926 configured to perform power management of the electronic device 1900, a wired or wireless network interface 1950 configured to connect the electronic device 1900 to a network, and an input/output (I/O) interface 1958. The electronic device 1900 may operate based on an operating system, such as Windows Server, MacOSXTM, UnixTM, LinuxTM, FreeBSDTM, or the like, stored in memory 1932.

In an exemplary embodiment, a non-transitory computer readable storage medium, such as the memory 1932, is also provided that includes computer program instructions executable by the processing component 1922 of the electronic device 1900 to perform the above-described methods.

The present disclosure may be systems, methods, and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present disclosure.

The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: 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), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.

The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.

The computer program instructions for carrying out operations of the present disclosure may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry that can execute the computer-readable program instructions implements aspects of the present disclosure by utilizing the state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).

Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.

These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.

The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The present disclosure provides a distance determination and speed prediction method and apparatus, an electronic device, and a storage medium technical solution, which are applied to a C102-F64 well group in an open ditch oilfield and a C102-F64 well group in the open ditch oilfield as an object (see fig. 3), and calculate a propulsion speed of water injected into a production well 10C100-64 bottom of a water injection well 10C 102-F64. According to the well history data of the well group, the fracturing construction parameter data and the like, the dynamic and static parameters (see table 6) such as the well position, the permeability, the bottom flowing pressure, the injection and production well distance, the length and the angle of the crack, the porosity of the well group, the water saturation, the fluid viscosity and the like are counted and used for formula calculation.

The method comprises the following steps: statistical basic data

TABLE 6C 102-F64 basic data statistics

Step two: calculating the equivalent permeability K of the matrix from the water injection well to each oil production well_WX

First permeability K of water injection well_WSecond permeability K of the respective production well(s)_XEffective thickness H of water injection well_WEffective thickness H of oil well_XThe equivalent permeability K of the matrix in the direction from the water injection well to each oil production well is obtained by substituting the formula_WX＝29mD。

Step three: calculating a second stress sensitivity coefficient M near the oil production well_oFirst stress sensitivity coefficient M near water injection well_w

Second permeability K of oil production well_XSubstituting the second stress sensitivity coefficient M near the oil production well calculated by the corresponding formula_o＝0.01134MPa^-1The first permeability K of the water injection well_WSubstituting the first stress sensitivity coefficient M near the water injection well calculated by the corresponding formula_w＝0.001134MPa^-1。

Step four: calculating the distance d between the crack and a plurality of oil production wells_X

Firstly, the angle theta distribution interval formed by the fracture and the well row is judged, and a corresponding table is found (judged according to the table 1). The well spacing L, the row spacing d, the included angle theta between the fractures and the well row and the distance L between a point on the fractures and the center of the fractures are substituted into a formula in the table 1, the distribution interval of the angles theta between the fractures and the well row is judged, the calculation result is shown in the table 7, and the included angle 11.5 degrees between the fractures and the well row is distributed between 0 degree and 33.7 degrees, so that the table 2 is selected.

TABLE 7 distance d between fracture and well under different fracture and well bank angle θ conditions_XFormula selection object

Then according to the production wellLocation, in particular the distance d of the fracture from the respective production well_X. The production wells 10C100-64 are located directly above the injection wells 10C102-F64 and the production wells are located at the H-well position, depending on the actual location of the injection and production wells, so the H-well to fracture distance d in Table 2 is chosen_X。

That is to say that the first and second electrodes,

the well spacing L, the row spacing d, the included angle theta between the cracks and the well row and the distance L between one point on the cracks and the center of the cracks are substituted into the following formula.

Calculating the distance d of the crack according to the formula_X＝196m。

Step five: distance Z between oil production well and water injection well_X

Will produce the abscissa a of the well_xAnd ordinate a_yAbscissa b of water injection well_xAnd ordinate b_y. Substituting the corresponding formula to calculate the injection-production well spacing Z_X＝287.4m

Step six: prediction of injected water propulsion velocity v_X

Substituting the data counted in the first step to the sixth step and the calculated data into the corresponding formula to obtain the predicted propulsion speed v of the injected water_X＝2.44m/s。

Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or technical improvements to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A method of distance determination, comprising:

determining the distance from the crack to the corresponding oil production well in the plurality of injection-production flow units according to the angle formed by the crack and the well row and the plurality of injection-production flow units respectively;

the method for determining the angle formed by the fracture and the well row according to the position of the fracture and the position of the well row comprises the following steps: extracting a plurality of location points of the location of the fracture; fitting based on a plurality of position points to obtain a crack straight line corresponding to the crack; obtaining an azimuth angle as the angle based on the fracture straight line and the straight line corresponding to the well row;

the method for respectively determining a plurality of injection and production flow units between a plurality of production wells and a crack according to the crack of the water injection well and a plurality of production wells around the water injection well comprises the following steps:

constructing a plurality of injection-production flow cells between the plurality of production wells and the fracture based on the first location point of the water injection well, the plurality of fracture points, and a plurality of second location points of a plurality of production wells, respectively; wherein the starting point and the end point of each section of crack are taken as crack points to obtain a plurality of crack points; determining 2 points which are nearest to a plurality of second position points of the plurality of oil production wells from the first position points and the plurality of fracture points respectively, and determining a region surrounded by the 2 points and the second position points which are nearest to the 2 points to form a plurality of injection-production flow units;

the method for determining the distance from the crack to the corresponding oil production well in the plurality of injection-production flow units according to the angle formed by the crack and the well row and the plurality of injection-production flow units comprises the following steps:

acquiring a plurality of set angle intervals;

2. The method of claim 1, wherein the determining the angle of the fracture with the well row is required before determining the distance of the fracture to the corresponding production well in the plurality of injection and production flow cells based on the angle of the fracture with the well row and the plurality of injection and production flow cells, respectively, and comprises:

acquiring the position of the crack and the position of the well row;

and determining the angle formed by the fracture and the well row according to the position of the fracture and the position of the well row.

3. The method of distance determination according to claim 1 or 2, wherein the method of determining the distance of the fracture to the corresponding production well in the plurality of injection and production flow cells based on the angle, the plurality of set angle intervals, the row and well spacing corresponding to the adjacent production wells, the length of the fracture, and the distance of the point on the fracture in the plurality of injection and production flow cells to the corresponding injection well, respectively, comprises:

4. A method of speed prediction, comprising: a method of distance determination according to any of claims 1-3, further comprising:

predicting a rate of advancement of injected water into a corresponding production well within the plurality of injection and production flow cells based on the injection and production well history, the fracturing construction parameters, the laboratory experimental data, the plurality of matrix equivalent permeabilities, the first stress sensitivity coefficient, the plurality of second stress sensitivity coefficients, the plurality of distances, and the distance of the fracture to the corresponding production well;

and/or before acquiring the second stress sensitivity coefficient, determining the second stress sensitivity coefficient, wherein the determining method comprises the following steps:

wherein the second stress sensitivity coefficient M_OThe first stress sensitivityCoefficient M_WThe calculation formula of (2) is as follows:

A₁and A₂Respectively a first coefficient and a second coefficient, B₁And B₂Respectively a first exponential coefficient and a second exponential coefficient, K_XAnd K_WRespectively a first permeability and a second permeability.

5. The method of velocity prediction according to claim 4, wherein the injection and production well history, fracture construction parameters, indoor experimental data comprise at least: bottom hole flowing pressure of the oil production well, bottom hole flowing pressure of the water injection, original formation pressure, starting pressure gradient regression coefficient, fluid viscosity, water saturation of an oil layer, porosity of the oil layer and fracture width.

6. The method of velocity prediction according to claim 5, wherein the injection and production well history, fracture construction parameters, laboratory experimental data, further comprises: the water yield rising speed, and the determination method of the water yield rising speed comprises the following steps:

acquiring the water saturation of an oil layer;

and solving a first derivative of the water saturation curve to obtain the rising speed of the water production rate.

7. Method of speed prediction according to claim 5 or 6,

8. An apparatus for distance determination, comprising:

the first determining unit is used for respectively determining a plurality of injection and production flow units between a plurality of production wells and the crack according to the crack of the water injection well and a plurality of production wells around the water injection well; the method for respectively determining a plurality of injection and production flow units between a plurality of production wells and a crack according to the crack of the water injection well and a plurality of production wells around the water injection well comprises the following steps: segmenting the crack to obtain a plurality of crack points including crack end points; constructing a plurality of injection-production flow cells between the plurality of production wells and the fracture based on the first location point of the water injection well, the plurality of fracture points, and a plurality of second location points of a plurality of production wells, respectively; wherein the starting point and the end point of each section of crack are taken as crack points to obtain a plurality of crack points; determining 2 points which are nearest to a plurality of second position points of the plurality of oil production wells from the first position points and the plurality of fracture points respectively, and determining a region surrounded by the 2 points and the second position points which are nearest to the 2 points to form a plurality of injection-production flow units;

the second determining unit is used for determining the distance from the crack to the corresponding oil production well in the plurality of injection-production flow units according to the angle formed by the crack and the well row and the plurality of injection-production flow units; the method for determining the angle formed by the fracture and the well row according to the position of the fracture and the position of the well row comprises the following steps: extracting a plurality of location points of the location of the fracture; fitting based on a plurality of position points to obtain a crack straight line corresponding to the crack; obtaining an azimuth angle as the angle based on the fracture straight line and the straight line corresponding to the well row; the method for respectively determining a plurality of injection and production flow units between a plurality of production wells and a crack according to the crack of the water injection well and a plurality of production wells around the water injection well comprises the following steps: segmenting the crack to obtain a plurality of crack points including crack end points; constructing a plurality of injection-production flow cells between the plurality of production wells and the fracture based on the first location point of the water injection well, the plurality of fracture points, and a plurality of second location points of a plurality of production wells, respectively; wherein the starting point and the end point of each section of crack are taken as crack points to obtain a plurality of crack points; and determining 2 points which are nearest to a plurality of second position points of the plurality of oil production wells from the first position points and the plurality of fracture points respectively, and determining the surrounded area based on the 2 points and the second position points which are nearest to the 2 points to form a plurality of injection-production flow units.

9. An apparatus for velocity prediction, comprising: the apparatus for distance determination of claim 8, further comprising:

the system comprises an acquisition unit, a data processing unit and a data processing unit, wherein the acquisition unit is used for acquiring the history of an injection and production well, fracturing construction parameters, indoor experimental data, a plurality of matrix equivalent permeabilities corresponding to the directions from the water injection well to the plurality of production wells, a first stress sensitivity coefficient corresponding to the water injection well, a plurality of second stress sensitivity coefficients of the plurality of production wells and a plurality of distances from the water injection well to the plurality of production wells; before the first stress sensitive coefficient is obtained, the first stress sensitive coefficient needs to be determined, and the determination method comprises the following steps: obtaining a first permeability, a first coefficient and a first exponential coefficient of the bottom of the water injection well; obtaining a first exponential factor according to the first permeability and the first exponential coefficient; obtaining the first stress-sensitive coefficient based on the first coefficient and the first exponential factor; and/or before acquiring the second stress sensitivity coefficient, determining the second stress sensitivity coefficient, wherein the determining method comprises the following steps: acquiring a second permeability, a second coefficient and a second exponential coefficient of the bottom of the oil production well; obtaining a second index factor according to the second permeability and the second index coefficient; obtaining the second stress sensitivity coefficient based on the second coefficient and the second index factor; wherein the second stress sensitivity coefficient M_OThe first stress sensitivity coefficient M_WThe calculation formula of (2) is as follows:

A₁and A₂Respectively a first coefficient and a second coefficient, B₁And B₂Respectively a first exponential coefficient and a second exponential coefficient, K_XAnd K_WA first permeability and a second permeability, respectively;

10. An electronic device, comprising:

a processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to invoke the memory-stored instructions to perform the method of distance determination of any of claims 1-3.

11. An electronic device, comprising:

a processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to invoke the memory-stored instructions to perform the method of speed prediction of any of claims 4-7.

12. An electronic device, comprising:

a processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to invoke the memory-stored instructions to perform the method of distance determination of any of claims 1-3; and a method of speed prediction according to any of claims 4 to 7.

13. A computer readable storage medium having computer program instructions stored thereon, which when executed by a processor implement the method of distance determination of any of claims 1-3.

14. A computer readable storage medium having computer program instructions stored thereon, which when executed by a processor implement the method of velocity prediction according to any of claims 4-7.

15. A computer readable storage medium having computer program instructions stored thereon, wherein the computer program instructions, when executed by a processor, implement the method of distance determination of any of claims 1-3; and a method of speed prediction according to any of claims 4 to 7.