Method for evaluating inter-well connectivity by applying multi-well production data and related equipment

By applying multi-well production data in ultra-deep heavy oil reservoirs, dividing the associated well groups and calculating the allocation ratio and absolute distribution volume, the problem that the existing technology cannot accurately evaluate dynamic inter-well connectivity, and a low-cost, fast and environmentally friendly inter-well connectivity evaluation is achieved.

CN119616472AActive Publication Date: 2025-03-14CHINA NAT PETROLEUM CORP +1
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Patent Information

Application Number
CN202311188280.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-09-14
Publication Date
2025-03-14
Estimated Expiration
2043-09-14

AI Technical Summary

Technical Problem

The prior art cannot accurately evaluate the dynamic inter-well connectivity of ultra-deep heavy oil reservoirs, and tracer monitoring and interference well tests have disadvantages such as environmental protection problems, high costs and long test cycles.

Method used

By obtaining the well distance between each injection well and the oil well, the well group unit is divided in combination with the maximum effect radius, and it is associated with the associated well group based on the oil well correlation degree. Then, the relevant well group injection and production equation combined with the production data of oil wells and water injection wells is used to calculate the distribution ratio and absolute distribution of each water injection well to the oil well, thereby evaluating the inter-well connectivity.

Benefits of technology

The precise evaluation of the dynamic well connectivity of the reservoir is achieved, the testing cost and cycle is reduced, environmental protection problems are avoided, and the normal production of the oil field is not limited by construction conditions.

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Abstract

The invention discloses a method and related equipment for evaluating inter-well connectivity by applying multi-well production data, and the method comprises the following steps: dividing well group units according to a well spacing in combination with a maximum effective radius; dividing the well group units into associated well groups according to the oil well association degree; and obtaining the distribution ratio and absolute distribution quantity of each water injection well to each oil well by utilizing an associated well group injection-production equation in combination with the cumulative output quantity of the corresponding layer of the oil well and the cumulative injection quantity of the corresponding layer of the water injection well, so as to accurately evaluate the dynamic inter-well connectivity of the oil reservoir. According to the method, production dynamic data are applied and reasonably analyzed, and the oil reservoir dynamic inter-well connectivity which cannot be accurately obtained by applying a static method can be obtained; according to the method, production data which are easy to obtain are utilized, and reservoir information of block inter-well connectivity is obtained in a rapid and low-cost mode; meanwhile, limitation of construction conditions is avoided, and normal production of an oil field is not affected; according to the method, the aim of quantitatively evaluating the inter-well connectivity is fulfilled by dividing associated well groups and solving a multi-parameter linear equation set.
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Description

Technical Field

[0001] The invention belongs to the technical field of evaluating inter-well connectivity, and in particular relates to a method for evaluating inter-well connectivity by using multi-well production data and related equipment. Background Art

[0002] At present, the methods for evaluating well connectivity are mainly divided into static method and dynamic method. The static method generally uses small layer comparison, seismic and other technologies for description, which is not applicable to heavy oil, fault-developed reservoirs, etc. The dynamic method includes tracer monitoring, interference well testing and production dynamic analysis.

[0003] The principle of tracer monitoring technology is to inject tracers into injection wells, monitor tracer concentrations in production wells, draw tracer production curves, and determine the degree of connectivity between injection wells and production wells. Currently, this method has been widely used in oil fields.

[0004] Interference well testing technology is a multi-well testing technology. By changing the production system of the exciting well, a high-precision pressure gauge is placed in the observation well to monitor the changes in formation pressure. According to the changes, the degree of connectivity between the observation well and the exciting well is determined.

[0005] Production dynamic analysis technology analyzes the connectivity between wells by analyzing the changes in production indicators. It is a comprehensive judgment method for dynamic indicators. Commonly used methods include pressure system analysis, quasi-interference well testing, production characteristic similarity analysis, and water injection effectiveness analysis.

[0006] With the in-depth development of ultra-deep heavy oil reservoirs in some areas, it is found that the current well connectivity analysis of ultra-deep heavy oil reservoirs has the following problems:

[0007] The heavy oil reservoirs in these areas have stable sedimentary environments, and the reservoirs are developed laterally and vertically. They are massive reservoirs. From a geological perspective, there is generally connectivity between oil wells and water wells. Therefore, the application of static methods cannot accurately evaluate the dynamic connectivity of the reservoirs.

[0008] As people pay more and more attention to environmental protection, radioactive tracer carriers that are easy to pollute the environment are no longer allowed to be used. Tracer carriers suitable for heavy oil are not yet mature. The tracer monitoring technology has low monitoring accuracy in ultra-deep heavy oil and its application is subject to certain restrictions. Since oil wells in oil fields generally have packers and the fluid viscosity is high, the conditions for inserting pressure gauges in oil wells required for interference well testing are generally not met. The method of hanging pressure gauges on the tubing head is costly and time-consuming. In addition, both of the above methods have the disadvantages of long testing cycles and expensive testing costs, which affect the normal production of oil fields. These disadvantages restrict the application of these two testing methods.

[0009] The heavy oil reservoirs in the above-mentioned areas are flooded by injected water, and the water properties are small. If water test data is used to analyze well connectivity, the effect is poor in the later stage of water breakthrough in oil wells. Since production data is easy to obtain, which contains production information on seepage and well connectivity, it has become an increasingly popular method for studying connectivity in heavy oil reservoirs. However, due to the impact of multiple water injection wells, how to accurately evaluate the impact of water injection wells on oil wells needs further improvement. Summary of the invention

[0010] In order to overcome the shortcomings of the above-mentioned technology, the present invention provides a method and related equipment for evaluating inter-well connectivity using multi-well production data, which can solve the technical problem that the existing evaluation method cannot accurately evaluate the dynamic inter-well connectivity of the reservoir.

[0011] In order to achieve the above object, the present invention adopts the following technical solution:

[0012] A method for evaluating well connectivity using multi-well production data, comprising:

[0013] Obtain the well distances between each water injection well and each oil well, and divide them into multiple well group units based on a preset maximum effective radius;

[0014] Based on the oil well correlation, multiple groups of well group units are correlated and divided into multiple correlated well groups;

[0015] Based on the injection-production equation of the associated well group, combined with the cumulative output of the oil wells corresponding to the strata and the cumulative injection volume of the water injection wells corresponding to the strata, the allocation ratio and absolute allocation volume of each water injection well to each oil well are obtained;

[0016] The inter-well connectivity of the reservoir is evaluated based on the distribution ratio and absolute distribution amount.

[0017] Furthermore, the process of setting the maximum effective radius includes:

[0018] With the injection well in the block as the center, the maximum effective radius of the injection well is set according to the geological and production characteristics.

[0019] Furthermore, the well group units having the same effective oil wells are divided into the same associated well group.

[0020] Furthermore, the specific steps of dividing into a plurality of associated well groups include:

[0021] (1) Initialize the associated well group and set the current well group unit as the first associated well group;

[0022] (2) Check whether there is any oil well corresponding to the current well group unit in other associated well groups; if so, add the water injection well corresponding to the current well group unit to the corresponding associated well group and proceed to the next step; otherwise, create a new well group and include the water injection well corresponding to the current well group unit and proceed to the next step;

[0023] (3) Determine whether it is the last well group unit. If so, exit and output the associated well group; otherwise, point to the next well group unit and re-execute step (2).

[0024] Furthermore, based on the injection-production equation of the associated well group and combined with the cumulative output of the corresponding strata of the oil wells, the absolute allocation of each water injection well to each oil well is calculated; the specific formula is as follows:

[0025]

[0026] Where, e represents error; mean() represents mean function; abs() represents absolute value function; u represents the number of water injection wells; k represents the number of oil wells, 1≤i≤k; I i ′ represents the absolute distribution amount; P i Indicates the cumulative output of the corresponding layer of the oil well.

[0027] Furthermore, according to the absolute allocation amount and the cumulative injection amount of the corresponding strata of the water injection wells, the allocation ratio of each water injection well to each oil well is calculated.

[0028] Furthermore, the specific formula of the allocation ratio is as follows:

[0029] I i ′=I i .W i

[0030] Among them, I i Indicates the cumulative injection volume of the corresponding layer of the injection well; W i It indicates the allocation ratio of water injection wells to each oil well.

[0031] A system for evaluating well-to-well connectivity using multi-well production data, used to implement the steps of the method for evaluating well-to-well connectivity using multi-well production data, comprising:

[0032] An acquisition module is used to acquire the well distances between each water injection well and each oil well, and divide them into multiple well group units in combination with a preset maximum effective radius;

[0033] An association module, used for associating multiple groups of well group units based on the oil well association degree, and dividing them into multiple associated well groups;

[0034] A calculation module is used to obtain the allocation ratio and absolute allocation amount of each water injection well to each oil well based on the injection-production equation of the associated well group and in combination with the cumulative output of the corresponding layer of the oil well and the cumulative injection amount of the corresponding layer of the water injection well;

[0035] The evaluation module is used to evaluate the inter-well connectivity of the reservoir based on the allocation ratio and the absolute allocation amount.

[0036] A device comprising:

[0037] Memory for storing computer programs;

[0038] A processor is used to implement the steps of the above-mentioned method of evaluating well-to-well connectivity using multi-well production data when executing the computer program.

[0039] A computer-readable storage medium stores a computer program, which, when executed by a processor, is used to implement the steps of the method for evaluating well-to-well connectivity using multi-well production data.

[0040] Compared with the prior art, the present invention has the following beneficial effects:

[0041] The present invention also provides a method for evaluating well-to-well connectivity using multi-well production data. The method divides well group units according to the well spacing combined with the maximum effective radius; divides the well group units into associated well groups according to the oil well correlation; then uses the associated well group injection-production equation, combined with multi-well production data, that is, the cumulative output of the oil wells corresponding to the stratum and the cumulative injection volume of the water injection wells corresponding to the stratum, to obtain the allocation ratio and absolute allocation volume of each water injection well to each oil well, so as to accurately evaluate the dynamic well-to-well connectivity of the reservoir; the method can obtain the dynamic well-to-well connectivity of the reservoir that cannot be accurately obtained by applying the static method by applying the production dynamic data and performing reasonable analysis; the method uses easily available production data to obtain the reservoir information of the well-to-well connectivity of the block in a fast and low-cost manner; at the same time, it is not restricted by construction conditions and does not affect the normal production of the oil field; the method divides the associated well groups and solves the multi-parameter linear equation group to achieve the purpose of quantitative evaluation of well-to-well connectivity. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 A flowchart of dividing associated well groups in a method for evaluating well connectivity using multi-well production data provided by an embodiment of the present invention;

[0043] Figure 2 A schematic diagram of well connectivity between the II1 layer of a block in Rukqin provided in an embodiment of the present invention, specifically a relative allocation schematic diagram;

[0044] Figure 3A schematic diagram of well connectivity between the II1 layer of a block in Rukqin provided in an embodiment of the present invention, specifically a schematic diagram of absolute allocation;

[0045] Figure 4 A flow chart of a method for evaluating well-to-well connectivity using multi-well production data provided by the present invention;

[0046] Figure 5 A schematic diagram of the structure of a system for evaluating well-to-well connectivity using multi-well production data provided by the present invention. DETAILED DESCRIPTION

[0047] The present invention provides a method for evaluating well connectivity using multi-well production data. Figure 4 As shown, the following steps are included:

[0048] S1: Obtain the well distances between each water injection well and each oil well, and divide them into multiple well group units based on a preset maximum effective radius.

[0049] The process of setting the maximum effective radius includes:

[0050] With the injection well in the block as the center, the maximum effective radius of the injection well is set according to the geological and production characteristics.

[0051] S2: Based on the oil well correlation, multiple groups of well group units are correlated and divided into multiple correlated well groups; specifically, well group units with the same effective oil wells are divided into the same correlated well group.

[0052] Specifically, the specific steps of dividing into multiple associated well groups include:

[0053] (1) Initialize the associated well group and set the current well group unit as the first associated well group;

[0054] (2) Check whether there is any oil well corresponding to the current well group unit in other associated well groups; if so, add the water injection well corresponding to the current well group unit to the corresponding associated well group and proceed to the next step; otherwise, create a new well group and include the water injection well corresponding to the current well group unit and proceed to the next step;

[0055] (3) Determine whether it is the last well group unit. If so, exit and output the associated well group; otherwise, point to the next well group unit and re-execute step (2).

[0056] S3: Based on the injection-production equation of the associated well group, combined with the cumulative production of the corresponding strata of the oil wells and the cumulative injection volume of the corresponding strata of the water injection wells, the allocation ratio and absolute allocation volume of each water injection well to each oil well are obtained.

[0057] Based on the injection-production equation of the associated well group and the cumulative output of the corresponding strata of the oil wells, the absolute allocation of each water injection well to each oil well is calculated; the specific formula is as follows:

[0058]

[0059] Where, e represents error; mean() represents mean function; abs() represents absolute value function; u represents the number of water injection wells; k represents the number of oil wells, 1≤i≤k; I i ′ represents the absolute distribution amount; P i Indicates the cumulative output of the corresponding layer of the oil well.

[0060] Based on the absolute allocation amount and the cumulative injection volume of the corresponding strata of the water injection wells, the allocation ratio of each water injection well to each oil well is calculated.

[0061] The specific formula of the allocation ratio is as follows:

[0062] I i ′=I i .W i

[0063] Among them, I i Indicates the cumulative injection volume of the corresponding layer of the injection well; W i It indicates the allocation ratio of water injection wells to each oil well.

[0064] S4: Evaluate the inter-well connectivity of the reservoir based on the allocation ratio and absolute allocation amount.

[0065] like Figure 5 As shown, the present invention also provides a system for evaluating well-to-well connectivity using multi-well production data, including: an acquisition module, used to obtain the well distance between each water injection well and each oil well, and divide it into multiple groups of well group units in combination with a preset maximum effective radius; an association module, used to associate multiple groups of well group units based on the oil well association degree, and divide them into multiple associated well groups; a calculation module, used to obtain the allocation ratio and absolute allocation amount of each water injection well to each oil well based on the injection-production equation of the associated well group, combined with the cumulative output of the corresponding stratum of the oil well and the cumulative injection amount of the corresponding stratum of the water injection well; an evaluation module, used to evaluate the well-to-well connectivity of the reservoir according to the allocation ratio and the absolute allocation amount.

[0066] The present invention also provides a device, comprising: a memory for storing a computer program; a processor for implementing the steps of the method for evaluating inter-well connectivity by using multi-well production data when executing the computer program.

[0067] When the processor executes the computer program, the above-mentioned steps of using multi-well production data to evaluate well-to-well connectivity are implemented, for example: obtaining the well distances between each water injection well and each oil well, and dividing them into multiple groups of well group units in combination with a preset maximum effective radius; based on the oil well correlation, associating the multiple groups of well group units and dividing them into multiple associated well groups; based on the injection-production equation of the associated well group, combined with the cumulative output of the corresponding strata of the oil wells and the cumulative injection volume of the corresponding strata of the water injection wells, obtaining the allocation ratio and absolute allocation amount of each water injection well to each oil well; and evaluating the well-to-well connectivity of the reservoir according to the allocation ratio and the absolute allocation amount.

[0068] Alternatively, the processor implements the functions of each module in the above system when executing the computer program, for example: an acquisition module, used to obtain the well distance between each water injection well and each oil well, and divide them into multiple groups of well group units in combination with a preset maximum effective radius; an association module, used to associate multiple groups of well group units based on the oil well association degree and divide them into multiple associated well groups; a calculation module, used to obtain the allocation ratio and absolute allocation amount of each water injection well to each oil well based on the associated well group injection-production equation, combined with the cumulative output of the corresponding stratum of the oil well and the cumulative injection amount of the corresponding stratum of the water injection well; an evaluation module, used to evaluate the inter-well connectivity of the oil reservoir according to the allocation ratio and the absolute allocation amount.

[0069] Exemplarily, the computer program can be divided into one or more modules / units, and the one or more modules / units are stored in the memory and executed by the processor to complete the present invention. The one or more modules / units can be a series of computer program instruction segments that can complete the preset functions, and the instruction segments are used to describe the execution process of the computer program in the device for evaluating well-to-well connectivity using multi-well production data. For example, the computer program can be divided into an acquisition module, an association module, a calculation module and an evaluation module; the specific functions of each module are as follows: an acquisition module, which is used to obtain the well spacing between each water injection well and each oil well, and divide it into multiple groups of well group units in combination with a preset maximum effective radius; an association module, which is used to associate multiple groups of well group units based on the oil well association degree and divide them into multiple associated well groups; a calculation module, which is used to obtain the allocation ratio and absolute allocation amount of each water injection well to each oil well based on the injection-production equation of the associated well group, combined with the cumulative output of the corresponding layer of the oil well and the cumulative injection amount of the corresponding layer of the water injection well; an evaluation module, which is used to evaluate the well-to-well connectivity of the reservoir according to the allocation ratio and the absolute allocation amount.

[0070] The device for evaluating well connectivity by using multi-well production data may be a computing device such as a desktop computer, a notebook, a PDA, and a cloud server. The device for evaluating well connectivity by using multi-well production data may include, but is not limited to, a processor and a memory. A person skilled in the art may understand that the above is an example of a device for evaluating well connectivity by using multi-well production data, and does not constitute a limitation on the device for evaluating well connectivity by using multi-well production data, and may include more components than the above, or a combination of certain components, or different components. For example, the device for evaluating well connectivity by using multi-well production data may also include input and output devices, network access devices, buses, etc.

[0071] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc. The processor is the control center of the device for evaluating inter-well connectivity by using multi-well production data, and uses various interfaces and lines to connect various parts of the device for evaluating inter-well connectivity by using multi-well production data.

[0072] The memory can be used to store the computer program and / or module, and the processor implements the various functions of the device for evaluating inter-well connectivity using multi-well production data by running or executing the computer program and / or module stored in the memory and calling the data stored in the memory.

[0073] The memory may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area may store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory may include a high-speed random access memory, and may also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0074] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for evaluating inter-well connectivity using multi-well production data are implemented.

[0075] If the system integrated module / unit for evaluating well-to-well connectivity using multi-well production data is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium.

[0076] Based on such understanding, the present invention implements all or part of the processes in the above-mentioned method of evaluating well connectivity by using multi-well production data, and can also be completed by instructing related hardware through a computer program, and the computer program can be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the above-mentioned method of evaluating well connectivity by using multi-well production data can be implemented. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or preset intermediate form, etc.

[0077] The computer-readable storage medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium, etc.

[0078] It should be noted that the content contained in the computer-readable storage medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable storage media do not include electrical carrier signals and telecommunication signals.

[0079] The present invention will be further described below in conjunction with the embodiments and drawings:

[0080] Example

[0081] In order to solve the problems mentioned in the background technology: the existing well connectivity evaluation methods have various problems such as long test cycle, high test cost, environmental impact, impact on normal oil field production, and inability to accurately evaluate dynamics. In order to solve the above problems, this embodiment provides a method for evaluating well connectivity using multi-well production data, and this method can accurately evaluate the dynamic well connectivity of the reservoir.

[0082] The specific steps include:

[0083] The first step is to determine the research block and layer: determine the research block and layer according to production needs.

[0084] The second step is to divide the well group units according to geological and production characteristics.

[0085] Taking the water injection well in the block as the center, the maximum effective radius R of the water injection well is set according to geological and production experience. The oil wells and the water well within the radius R form a well group unit.

[0086] The specific process is as follows:

[0087] (1) Water wells in a block are numbered 1 to n; oil wells in a block are numbered 1 to m.

[0088] (2) Calculate the distance d between the water injection wells and each oil well in the block.

[0089]

[0090] in,

[0091]

[0092] Where, d ij : The distance between the i-th water injection well and the j-th oil well, m; x i / y i : The horizontal and vertical coordinates of the layer corresponding to the i-th injection well; x j / y j : The horizontal and vertical coordinates of the layer corresponding to the j-th oil well.

[0093] Taking a block in Rukqin as an example, the well coordinates of the II1 layer are collected, as shown in Table 1:

[0094] Table 1 shows the well coordinates related to the II1 layer

[0095] Serial number hashtag Horizon X coordinate Y coordinate 1 X1 Ⅱ1 XXXXX1 YYYYY1 2 X2 Ⅱ1 XXXXX2 YYYYY2 3 X3 Ⅱ1 XXXXX3 YYYYY3 4 X4 Ⅱ1 XXXXX4 YYYYY4 5 X5 Ⅱ1 XXXXX5 YYYYY5 6 X6 Ⅱ1 XXXXX6 YYYYY6 7 X7 Ⅱ1 XXXXX7 YYYYY7 … … … … …

[0096] Calculate the well distance d between each water injection well and each oil well, as shown in Table 2:

[0097] Table 2 is the well spacing matrix of the II1 layer

[0098]

[0099] (3) Divide the well group units according to the maximum effective radius R.

[0100] Taking the i-th well group as an example, in the well spacing vector d i Select the oil wells less than R from the above to form the oil well vector og corresponding to the i-th well group i By analogy, we can establish the oil well matrix og of the block well group. The vector og i The vector of non-zero values ​​in ogi ', forming the oil well index corresponding to the i-th well group.

[0101]

[0102] og=(og1,…,og n ) (4)

[0103] Taking a block in Rukqin as an example, the well group units are divided according to the principle that the well spacing is less than the maximum effective radius, as shown in Table 3:

[0104] Table 3 shows the II1 well group units

[0105]

[0106] The third step is to divide the associated well groups. In this method, the complexity and multi-solution of solving the injection allocation weights of the water injection wells are reduced by dividing the associated well groups, and the calculation accuracy is higher, which is one of the inventive points of the present invention.

[0107] The well groups with the same effective oil wells are divided into the same associated well group, such as Figure 1 As shown, the specific process is as follows:

[0108] (1) Initialize the associated well group to be empty and set the current well group to be the first well group.

[0109] (2) In the oil well sequence corresponding to each associated well group, find which associated well group contains any oil well corresponding to the current well group; if it exists, add the corresponding water injection well of the current well group to the corresponding associated well group; if it does not exist, create a new associated well group and include the water injection well of the current well group.

[0110] (3) The current well group index points to the next well group and returns to process (2) until the last well group and exits.

[0111] Here, taking a block in Rukqin as an example, the associated well groups are divided as shown in Table 4:

[0112] Table 4 Classification of associated well groups in layer II1

[0113]

[0114] The fourth step is to establish a well group injection allocation weight matrix. In this method, the impact of multiple water injection wells on oil well output is fully considered. The contribution of water injection wells to oil well output is characterized by setting injection allocation weights, which is one of the inventive points of the present invention.

[0115] Taking the i-th well group as an example, suppose the well group contains k oil wells; the injection weight of the corresponding layer of the water injection well allocated to the k oil wells is w i , satisfying Σw i =1,wi ≥0. Select a period of production time, and the injection volume of the i-th water injection well is allocated to the corresponding oil well:

[0116]

[0117] In the formula, I og i ': The injection volume of the i-th water injection well allocated to the corresponding oil well; i : The cumulative injection volume of the corresponding layer of the ith injection well; w i : The injection weight of the corresponding layer of the i-th water injection well allocated to the corresponding oil well.

[0118] The oil wells not included in the i-th well group have an injection volume of zero, which together with the injection volume of the oil wells included in the i-th well group constitute the complete injection allocation vector I of the i-th well group. i '.

[0119] Here, taking a block in Rukqin as an example, a well group injection allocation weight matrix is ​​established, as shown in Table 5:

[0120] Table 5 Injection allocation weights of well group II1

[0121]

[0122] The fifth step is to establish the injection-production equation of the associated well group and solve it.

[0123] Taking the tth associated well group as an example, suppose that the associated well group contains u water injection wells, corresponding to k oil wells, with the same production time, and the cumulative output of the corresponding strata of k oil wells is P i , 1≤i≤k.

[0124]

[0125] Apply the optimal method to solve equation (6) to minimize the error e and obtain the allocation ratio W and absolute allocation amount I of each water injection well in the tth associated well group to the surrounding oil wells. i ′;

[0126] Among them, I i ′=I i .W i

[0127] Among them, I i Indicates the cumulative injection volume of the corresponding layer of the injection well; W i It indicates the allocation ratio of water injection wells to each oil well.

[0128] Here, taking a block in Rukqin as an example, the following block well connectivity statistics table is formed, as shown in Table 6:

[0129] Table 6 is the statistics of well connectivity between II1 layers

[0130] Injection Wells Oil Well Relative distribution, % <![CDATA[Absolute allocation quantity, m 3 / d]]> Jade 19-16 Jade 18-15 0.10 -10100.5 Jade 19-16 Jade 18-16 0.24 -24075.5 Jade 19-16 Jade 19-15 0.14 -14222.5 Jade 19-16 Jade 19-161 0.06 -5717.8 Jade 19-16 Jade 19-17 0.18 -17545.5 Jade 19-16 Jade 20-15 0.01 -1376.0 Jade 19-16 Jade 20-16 0.01 -1107.6 Jade 19-16 Yuping17 0.02 -1934.4 Jade 19-16 Yuping19 0.01 -1113.0 Jade 19-16 Yuping 21 0.22 -21619.6 Jade 20-17 Jade 19-17 0.53 -40377.0 Jade 20-17 Jade 20-15 0.09 -6914.9 Jade 20-17 Jade 20-16 0.06 -4830.4 Jade 20-17 Jade 21-17 0.17 -12772.2 Jade 20-17 Yuping17 0.05 -4156.5 Jade 20-17 Yuping19 0.10 -7740.7

[0131] It should be noted that the relative distribution amounts in the above Table 6 are the distribution ratios.

[0132] like Figure 2 and Figure 3 The figure shows the well connectivity diagram of the II1 layer in a block of Rukqin, where: Figure 2 is a relative allocation diagram. Figure 3 It is a schematic diagram of absolute allocation. It can be seen from the figure that the method for evaluating inter-well connectivity using multi-well production data provided in this embodiment can efficiently and accurately evaluate the inter-well connectivity of oil reservoirs in a certain area by using easily available production data.

[0133] In summary, the present invention provides a method and related equipment for evaluating well connectivity using multi-well production data, which has the following advantages over existing evaluation methods:

[0134] First, compared with conventional production dynamic analysis technology, the present invention achieves the purpose of quantitative evaluation of well connectivity by dividing the associated well groups and solving multi-parameter linear equations.

[0135] Second, compared with the inter-well tracer monitoring technology and the interference well testing technology, the present invention obtains the reservoir information of the inter-well connectivity of the block in a fast and low-cost manner by applying the easily obtained production data; at the same time, it is not affected by the restrictions of the construction conditions.

[0136] Third, compared with the static evaluation method, the present invention can obtain the dynamic well-to-well connectivity of the reservoir that cannot be accurately obtained by the static method by applying production dynamic data and performing reasonable analysis.

[0137] The above embodiment is only one of the implementation methods that can realize the technical solution of the present invention. The scope of protection claimed by the present invention is not limited only to this embodiment, but also includes changes, replacements and other implementation methods that can be easily thought of by any technician familiar with the technical field within the technical scope disclosed by the present invention.

Claims

1. A method for evaluating well connectivity using multi-well production data, characterized in that: include: Obtain the well distances between each water injection well and each oil well, and divide them into multiple well group units based on a preset maximum effective radius; Based on the oil well correlation, multiple groups of well group units are correlated and divided into multiple correlated well groups; Based on the injection-production equation of the associated well group, combined with the cumulative output of the oil wells corresponding to the strata and the cumulative injection volume of the water injection wells corresponding to the strata, the allocation ratio and absolute allocation volume of each water injection well to each oil well are obtained; The inter-well connectivity of the reservoir is evaluated based on the distribution ratio and absolute distribution amount.

2. A method for evaluating well connectivity using multi-well production data according to claim 1, characterized in that: in, The process of setting the maximum effective radius includes: With the injection well in the block as the center, the maximum effective radius of the injection well is set according to the geological and production characteristics.

3. The method for evaluating well connectivity using multi-well production data according to claim 1, characterized in that: in, The well group units with the same effective oil wells are divided into the same associated well group.

4. A method for evaluating well connectivity using multi-well production data according to claim 3, characterized in that: The specific steps of dividing into multiple associated well groups include: (1) Initialize the associated well group and set the current well group unit as the first associated well group; (2) Check whether there is any oil well corresponding to the current well group unit in other associated well groups; if so, add the water injection well corresponding to the current well group unit to the corresponding associated well group and proceed to the next step; otherwise, create a new well group and include the water injection well corresponding to the current well group unit and proceed to the next step; (3) Determine whether it is the last well group unit. If so, exit and output the associated well group; otherwise, point to the next well group unit and re-execute step (2).

5. The method for evaluating well connectivity using multi-well production data according to claim 1, characterized in that: in, Based on the injection-production equation of the associated well group and the cumulative output of the corresponding strata of the oil wells, the absolute allocation of each water injection well to each oil well is calculated; the specific formula is as follows: Where, e represents error; mean() represents mean function; abs() represents absolute value function; u represents the number of water injection wells; k represents the number of oil wells, 1≤i≤k; I i ′ represents the absolute distribution amount; P i Indicates the cumulative output of the corresponding layer of the oil well.

6. A method for evaluating well connectivity using multi-well production data according to claim 5, characterized in that: Based on the absolute allocation amount and the cumulative injection volume of the corresponding strata of the water injection wells, the allocation ratio of each water injection well to each oil well is calculated.

7. A method for evaluating well connectivity using multi-well production data according to claim 6, characterized in that: The specific formula of the allocation ratio is as follows: I i ′=I i .W i Among them, I i Indicates the cumulative injection volume of the corresponding layer of the injection well; W i It indicates the allocation ratio of water injection wells to each oil well.

8. A system for evaluating well-to-well connectivity using multi-well production data, used to implement the steps of the method for evaluating well-to-well connectivity using multi-well production data as described in any one of claims 1 to 7, characterized in that: include: An acquisition module is used to acquire the well distances between each water injection well and each oil well, and divide them into multiple well group units in combination with a preset maximum effective radius; An association module, used for associating multiple groups of well group units based on the oil well association degree, and dividing them into multiple associated well groups; A calculation module is used to obtain the allocation ratio and absolute allocation amount of each water injection well to each oil well based on the injection-production equation of the associated well group and in combination with the cumulative output of the corresponding layer of the oil well and the cumulative injection amount of the corresponding layer of the water injection well; The evaluation module is used to evaluate the inter-well connectivity of the reservoir based on the allocation ratio and the absolute allocation amount.

9. A device, characterized in that: include: Memory for storing computer programs; A processor is used to implement the steps of the method for evaluating well-to-well connectivity using multi-well production data as described in any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, it is used to implement the steps of the method for evaluating well-to-well connectivity using multi-well production data as described in any one of claims 1 to 7.

Citation Information

Patent Citations

  • Oil deposit inter-well dynamic connectivity inverting method

    CN101725346A

  • Plane-based well group injection-production relationship perfection degree quantitative evaluation method

    CN111502615A

  • Injection-production parameter optimization method and system based on connectivity analysis

    CN116006168A

  • Method for determining geological and physical properties of formation and oil reserves

    RU2789872C1

  • Flooding analysis tool and method thereof

    US20160061020A1