CN117744897A - An integrated optimization method for layered injection-production section combination and section injection and production distribution - Google Patents

Abstract

The invention relates to the field of oil and gas exploration and development, and specifically discloses an integrated optimization method for layered injection and production section combinations and section injection and production allocation. The method includes: Step 1, collect and count the geology and information of the current oil reservoir block. Development data, determine the total number of layers of each segmented well, the number of layered water injection wells, the number of layered oil production wells, and the number of unsegmented wells; Step 2, carry out layered injection and production layer combinations and layers Preparation work for the integrated optimization of section allocation, injection and production, setting the stratified injection-production section combination and section-level injection and production integrated optimization parameters; Step 3, constructing the stratified injection-production section combination and section injection and production allocation Integrated optimization mathematical model; step 4, use the global and local random search algorithm to optimize and solve the integrated optimization mathematical model of layered injection and production section combinations and layer injection and production allocation, and determine the optimal layered injection and production section combination and Comprehensive adjustment plan for layer injection and production allocation. The method of the invention improves the development effect and achieves the purpose of increasing oil and reducing water in the oil reservoir.

Description

An integrated optimization method for layered injection-production section combination and section injection and production distribution

Technical field

The invention belongs to the technical field of oil and gas field development. Specifically, it relates to an integrated optimization method for layered injection and production section combinations and section injection and production allocation, which is used to economically and effectively improve the recovery rate of water flooding reservoirs.

Background technique

For oil fields developed by water flooding in the extremely high water cut period, injection and production adjustment is one of the economic and effective measures to control production decline and water cut increase. Due to the large differences in physical properties of each small layer of the oil reservoir and serious interference between layers, general injection and production has been difficult to solve the problem of ineffective water injection circulation within and between layers. Stratified injection and production is a very effective method to solve the above problems.

Stratified injection and production is to use packers to combine small layers with similar reservoir physical properties and development conditions into one layer for water injection or oil production. The nozzles of the water distributor are used to limit the injection and production of the layers with good development effects, thereby improving By adjusting injection and production structures in layers with low permeability and poor development effects, the uneven longitudinal distribution of displacement can be improved, thereby controlling the increase in water content, improving water injection utilization and mitigating production decline. role.

Through the search, the invention patent application number 201610438774.1 discloses a method for determining the injection volume of layered water injection layers. Using reservoir engineering methods, based on the relationship between the degree of production, water storage rate, and water content, the layered water injection layer is established Calculation method for section injection volume; the invention patent application number 201911037169.3 discloses a reasonable stratification method for water injection reservoirs, using the Lorentz coefficient as the evaluation criterion, dividing the water breakthrough time gradient of each layer before water breakthrough and the water breakthrough time difference of each layer after water breakthrough The difference in layer water content rise rate serves as the economic and technical limit of layered water injection; the invention patent application number 201910971837.3 discloses a layered water injection control method for reservoirs with high water consumption zones. By identifying the levels of high water consumption zones, the optimal The segmentation method was used to reorganize the layer system and carry out fine deployment of layered water injection.

At present, the research on the reasonable number of segments and the optimal segment locations involved in layered injection and production is mainly determined through reservoir engineering methods and numerical simulation technology. The research on optimal layered injection is mainly determined through optimization methods. Sure. The existing technology often only considers a single parameter, and does not apply optimization algorithms and numerical simulation technology to integrate the number of segments, segment locations, and the combined parameters of stratified injection and production of water drive reservoirs. Design, and the design process of existing injection and production plans is cumbersome and complex. The determination of injection and production combination parameters is often based on the experience of on-site workers, which is highly blind. A single injection and production parameter is determined mainly by means of plan comparison and optimization, and the work The production volume is large and the development effect is poor. The main research is on layered water injection and general oil production. A set of layered injection and production section combinations and section injection and production integrated optimization methods have not yet been formed.

Contents of the invention

In order to overcome the shortcomings of the existing technology, the present invention provides an integrated optimization method for layered injection and production section combinations and section injection and production allocation that can be applied to ultra-high water-cut period oil reservoirs, through coupled reservoir numerical simulation. technology and optimization theory, comprehensively considering the section combination method of segmented wells, the injection and production allocation of each section of segmented wells, and the general liquid volume parameters of unsectioned wells, to construct a section combination for layered injection and production and integrated optimization method of section injection and production, to realize the integrated intelligent optimization of section combinations of segmented wells and section injection and production and general fluid volume of un-sectioned wells, to further improve reservoir recovery. the goal of.

In order to solve the above technical problems, the technical solution adopted by the present invention is: an integrated optimization method for layered injection and production section combination and section injection and production allocation, which method includes the following steps:

Step 1: Collect and count the geological and development data of the current oil reservoir block, and determine the total number of sections of each segmented well, the number of layered water injection wells, the number of layered production wells, and the number of unsegmented wells;

Step 2: Carry out preparations for the integrated optimization of layer combinations and layer injection and production allocation for layered injection and production, and set optimization parameters for layered injection and production layer combinations and layer injection and production integration;

Step 3: Construct an integrated optimization mathematical model for layered injection and production section combinations and section injection and production allocation;

Step 4: Use the global and local random search algorithm to optimize and solve the integrated optimization mathematical model of layered injection and production section combinations and layer injection and production allocation, and determine the optimal layered injection and production section combination and section injection and production allocation. comprehensive adjustment plan.

Further, the geological and development data in step 1 include: reservoir geological data and dynamic development data;

The geological data of the oil reservoir include: the number of geological sublayers of the oil reservoir, the permeability distribution of each geological sublayer, the porosity distribution of each geological sublayer, the sand body thickness distribution of each geological sublayer, and the distribution of sand body thickness of each geological sublayer. Net-to-gross ratio distribution, crude oil density, formation crude oil volume coefficient;

The dynamic development data includes: the oil saturation distribution of each geological sub-layer, the formation pressure distribution of each geological sub-layer, the remaining oil reserve abundance distribution of each geological sub-layer, the cumulative water injection volume of each layered water injection section, The cumulative oil production of each layered oil production section, the water cut curve of the reservoir block, the cumulative oil production curve of the reservoir block, the water cut curve of each single well, the daily oil production curve of each single well, and the total water injection well Injection volume and total liquid production of production wells.

Further, the determination of the total number of sections, the number of layered water injection wells, the number of layered production wells, and the number of unstaged wells for each segmented well in step 1 includes: based on the number of injection wells and production wells. Historical production data, and then determine the number of wells in staged water injection wells, the total number of layers divided into staged water injection wells, the number of wells in staged oil production wells, the total number of layers divided into staged oil wells, the number of water wells in non-staged wells, Number of wells in unstaged wells.

Further, the optimization parameters set in step 2 for layered injection and production section combinations and section injection and production integration optimization parameters include:

Determine the optimization variables, which include: the segmented location measurement parameters of each segmented well, the interval injection and production parameters of each segmented well, and the plane general liquid volume parameters of each unsegmented well;

Specify the constraint conditions, which include the upper and lower limits of single well fluid volume in unstaged wells, the total injection and production constraints of each layer in segmented wells, the packer measure constraints of segmented wells, and the constraints of the reservoir model. Total liquid production volume constraints and total injection volume constraints;

Generate a comprehensive adjustment plan for layered injection and production section combinations and section injection and production allocation under the initial iteration step;

The relevant parameters of the global local random search algorithm are given, including the number of populations, the maximum number of iterations, and the termination condition.

Further, after step 2, set the comprehensive adjustment and optimization parameters for layered injection and production section combinations and layer injection and production allocation, including: judging the generated layered injection and production section combination and section injection in step 2 Whether the comprehensive adjustment plan for production allocation is implemented; if implemented, the input plan will be used as the initial plan; if not implemented, a number of segmented location measure parameters for each segmented well will be randomly generated based on the constraint conditions set in step 2. , the layered injection and production section combination composed of the section injection and production parameters of each segmented well, the plane general liquid volume parameters of each unsectioned well, and the comprehensive adjustment plan for section injection and production.

Further, the integrated optimization mathematical model of layered injection and production section combinations and layer injection and production allocation in step 3 includes objective functions, layered injection and production section combinations and section injection and production comprehensive adjustment parameters, and constraints. condition;

The objective function is the maximum cumulative oil production and the minimum comprehensive water content;

The layered injection and production section combinations and section injection and production comprehensive adjustment parameters are the section location measurement parameters of each segmented well, the section injection and production parameters of each sectioned well, and the section injection and production parameters of each unsectioned well. The horizontal general liquid volume parameters of the well;

The constraints include: the upper and lower limits of single well fluid volume in unstaged wells, the total injection and production constraints of each section of segmented wells, the packer measure constraints of segmented wells, and the overall reservoir model. Liquid production volume constraints and total injection volume constraints.

Further, in step 3,

The steps for optimizing the modeling of the segmented position measure parameters of each segmented well are: optimizing the segmented position of the segmented well, and the optimization variables are the segmented position measure parameters of the segmented well:

Among them, c _zu represents whether measures to run a packer are taken between the u-th section and the u+1-th section of the z-th segmented well, and c _zu =1 represents the gap between the u-th section and the u+1-th section. A packer is inserted between the layers. c _zu =0 means no packer is inserted between the u-th layer and the u+1 layer. k is the number of geological layers; s is the well with segmented water injection wells. number; d is the number of wells that have been staged for production;

The steps for optimizing the modeling of the injection and production parameters of each section of the segmented well are: optimizing the liquid volume of each section of the segmented well, and the optimization variable is the injection and production parameters of the section of the segmented well:

in, Characterizes the allocated injection volume of the h-th section of the l-th segmented water injection well;/> represents the production fluid volume of the v-th section of the g-th staged oil production well; s is the number of staged water injection wells; d is the number of staged oil production wells;

The steps for optimizing the modeling of the general injection and production parameters of unsegmented wells are as follows:

in, Characterizes the general injection volume of the i-th unstaged water injection well;/> Characterizes the general liquid production of the jth unstaged oil production well; n is the number of unstaged water injection wells; m is the number of unstaged oil production wells;

The total injection and production constraints of the section of the segmented well are:

Among them, r is the total number of segmented layers of the l-th segmented water injection well; e is the total number of segmented layers of the g-th segmented oil production well; and/> Respectively characterize the minimum and maximum injection fluid volume of a single well of the l-th staged water injection well;/> and/> Respectively represent the minimum and maximum liquid production volume of a single well of the g-th staged oil production well;

The upper and lower limits of the single well fluid volume of the unsegmented well are:

in, and/> Respectively representing the minimum and maximum injection fluid volume of a single well of the i-th unstaged water injection well;/> and/> Respectively represent the minimum and maximum liquid production volume of a single well of the jth unstaged oil production well;

The total liquid production volume constraints and total injection volume constraints of the reservoir model are:

Among them, Q ^inj and Q ^pro are the total injection volume and total liquid production volume of the reservoir model respectively;

The packer measure constraints for segmented wells are:

Among them, u is the number of packers corresponding to the segmented well intervals;

The expression of the mathematical model for the integrated optimization of layered injection and production section combinations and section injection and production distribution is:

Among them, FOPT is the cumulative oil production and FWCT is the comprehensive water content.

Further, the step 4 includes:

Call the reservoir numerical simulator to calculate the cumulative oil production and comprehensive water content of several layered injection and production section combinations and section injection and production comprehensive adjustment plans under the initial iteration step;

Comparing the cumulative oil production and comprehensive water content of several layered injection and production section combinations and the comprehensive adjustment plan of section injection and production under the initial iteration step, the optimization goals are to maximize the cumulative oil production and minimize the comprehensive water content. , determine the optimal layered injection-production section combination and the comprehensive adjustment plan for section injection and production allocation;

Through the offspring generation strategy in the global local random search algorithm, several layered injection and production section combinations and section injection and production comprehensive adjustment plans are generated under a new iteration step;

Call the reservoir numerical simulator to calculate the cumulative oil production and comprehensive water content of each layered injection and production section combination and the section injection and production comprehensive adjustment plan under the new iteration step;

The cumulative oil production and comprehensive water content of each layered injection and production section combination and the layer injection and production comprehensive adjustment plan under the new iteration step are compared with the optimal layered injection and production layer combination and layer injection and production. Compare the cumulative oil production and comprehensive water content of the comprehensive production adjustment plan. If the cumulative oil production of the layered injection and production section combination and the layer injection and production comprehensive adjustment plan is higher than the optimal layered injection and production section. The cumulative oil production of the comprehensive adjustment plan for the combination and section injection and production, and the comprehensive water content of the layered injection and production section combination and the comprehensive adjustment plan for section injection and production is lower than the optimal layered injection and production section If the comprehensive moisture content of the layered injection and production layer combination and layer injection and production comprehensive adjustment plan is determined, the layered injection and production layer combination and layer layer injection and production comprehensive adjustment plan will be regarded as the new optimal layered injection and production layer combination and layer. A comprehensive adjustment plan for section injection and production allocation; iterate through this cycle, and when the maximum number of iterations is reached, the optimal layered injection-production section combination and a comprehensive adjustment plan for section injection and production allocation are output.

Further, the reservoir numerical simulator includes tNavigator, eclipse, and cmg;

Some of the several layered injection and production section combinations and section injection and production comprehensive adjustment plans refer to the total number of layered injection and production section combinations and section injection and production comprehensive adjustment plans generated under each iteration step. Meet the population number value set in step 2;

During the optimization iteration process of step 4, it is necessary to determine whether the layered injection-production section combination and the section injection and production comprehensive adjustment plan generated in the new iteration step satisfy the constraint conditions. If not, go to step 3 and restart. generate;

During the optimization iteration process of step 4, it is necessary to determine whether the global random search algorithm has reached the maximum number of iterations set in step 2. If the maximum number of iterations has been reached, the optimization ends, otherwise return to step 4 to regenerate a new iteration step. The comprehensive adjustment plan for layered injection and production section combinations and section injection and production allocation will be completed until the maximum number of iterations is reached.

Further, the global and local random search algorithms include cat swarm algorithm, grid adaptive search algorithm, and dung beetle optimization algorithm.

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

The invention's integrated optimization of layered injection and production section combinations and section injection and production allocation in the ultra-high water cut period combines optimization theory with reservoir numerical simulation, aiming at the section location and section allocation of segmented wells. Injection and production allocation and plane general injection and production allocation of unstaged wells, with the maximum cumulative oil production and the minimum comprehensive water content as the optimization goals, the section combination of sectioned wells, the injection and production allocation of sections, and the unsectioned wells The well's general injection and production allocation is integrated and intelligently optimized to determine the layered injection and production section combination of the reservoir and the comprehensive adjustment plan for section injection and production. The optimization objects considered are comprehensive and only specific parameters need to be entered. It can realize automatic optimization, so it is more convenient, effective and operable to apply, improves the development effect, achieves the purpose of increasing oil and reducing water in the reservoir, and at the same time solves the blindness of the design of on-site injection and production plans in oil fields, and improves the success rate of measures. It is convenient and efficient to apply, and has important guiding significance for the design of comprehensive adjustment plans for on-site layered injection and production layer combinations and layer injection and production allocation.

Description of drawings

In order to explain the embodiments of the present invention or the technical solutions in the prior art more clearly, the drawings needed to be used in the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some of the drawings of the present invention. Embodiments, for those of ordinary skill in the art, other drawings can also be obtained based on these drawings without exerting creative labor.

Figure 1 is a flow chart of the integrated optimization method for layered injection and production section combinations and section injection and production allocation according to the present invention;

Figure 2 is a permeability distribution and current oil saturation distribution diagram of the model according to the embodiment of the present invention;

Figure 3 is a histogram of model parameters for each section of the model of the embodiment of the present invention, in which (a) is a histogram of permeability, (b) is a histogram of residual saturation, and (c) is a histogram of reserve abundance;

Figure 4 is a graph of changes in cumulative oil production during the optimization iteration process of the embodiment of the present invention;

Figure 5 is a distribution diagram of remaining oil saturation before and after model optimization according to the embodiment of the present invention.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

Figure 1 is a flow chart of the integrated optimization method for layered injection and production section combinations and section injection and production allocation according to the present invention. As shown in Figure 1, the above-mentioned layered injection and production section combinations and section injection and production integration Optimization methods include:

Step 1: Collect and count the geological and development data of the current oil reservoir block, and determine the total number of sections of each segmented well, the number of layered water injection wells, the number of layered production wells, and the number of unsegmented wells;

Step 2: Carry out preparations for the integrated optimization of layer combinations and layer injection and production allocation for layered injection and production, and set optimization parameters for layered injection and production layer combinations and layer injection and production integration;

Step 3: Construct an integrated optimization mathematical model for layered injection and production section combinations and section injection and production allocation;

Step 4: Use the global and local random search algorithm to optimize and solve the integrated optimization mathematical model of layered injection and production section combinations and layer injection and production allocation, and determine the optimal layered injection and production section combination and section injection and production allocation. comprehensive adjustment plan.

The geological and development data in step 1 include: reservoir geological data and dynamic development data;

Reservoir geological data include: the number of geological sublayers in the reservoir, the permeability distribution of each geological sublayer, the porosity distribution of each geological sublayer, the sand body thickness distribution of each geological sublayer, and the net gross content of each geological sublayer. Specific distribution, crude oil density, formation crude oil volume coefficient;

Dynamic development data include: oil saturation distribution of each geological sub-layer, formation pressure distribution of each geological sub-layer, remaining oil reserve abundance distribution of each geological sub-layer, cumulative water injection volume of each water injection layer, and The cumulative oil production of the oil production section, the water cut curve of the reservoir block, the cumulative oil production curve of the reservoir block, the water cut curve of each single well, the daily oil production curve of each single well, and the total injection volume of the water injection well , the total liquid production of the production well.

Determining the total number of sections, the number of layered water injection wells, the number of layered production wells, and the number of unstaged wells in step 1 includes: based on the historical production data of injection wells and production wells, and then Determine the number of wells in staged water injection wells, the total number of layers divided into staged water injection wells, the number of wells in staged oil production wells, the total number of layers divided into staged oil wells, the number of water wells in non-staged wells, and the number of water wells in non-staged wells. Number of oil wells.

In step 2, the optimization parameters for layered injection and production section combinations and section injection and production integration optimization parameters are set including:

Determine the optimization variables, which include: the segmented position measurement parameters of each segmented well (that is, whether to run a packer between each layer in the segmented well, that is, determine the segmented position), the segmented position of each segmented well Intersection injection and production parameters, and plane general liquid volume parameters of each unsegmented well;

Specify the constraint conditions, which include the upper and lower limits of single well fluid volume in unstaged wells, the total injection and production constraints of each layer in segmented wells, the packer measure constraints of segmented wells, and the constraints of the reservoir model. Total liquid production volume constraints and total injection volume constraints;

Generate a comprehensive adjustment plan for layered injection and production section combinations and section injection and production allocation under the initial iteration step;

The relevant parameters of the global local random search algorithm are given, including the number of populations, the maximum number of iterations, and the termination condition. Global and local random search algorithms include cat swarm algorithm, grid adaptive search algorithm, and dung beetle optimization algorithm.

After step 2, set the layered injection and production section combination and the layer injection and production comprehensive adjustment and optimization parameters, including: judging the layered injection and production layer combination and layer injection and production comprehensive adjustment generated in step 2. Whether the adjustment plan is executed; if executed, the input plan will be used as the initial plan; if not executed, a number of segmented position measure parameters of each segmented well, each segmented well will be randomly generated according to the constraint conditions set in step 2. The layered injection and production section combination is composed of the section injection and production parameters of the segmented wells, the plane general liquid volume parameters of each unsectioned well, and the comprehensive adjustment plan for the section injection and production.

In step 3, the integrated optimization mathematical model of layered injection and production section combinations and layer injection and production allocation includes objective functions, layered injection and production section combinations and section injection and production comprehensive adjustment parameters and constraints;

The objective function is the maximum cumulative oil production and the minimum comprehensive water content;

The comprehensive adjustment parameters for layered injection and production section combinations and section injection and production allocation are the section location measurement parameters of each segmented well, the section injection and production parameters of each sectioned well, and the section injection and production parameters of each unsectioned well. Plane abstract liquid volume parameters;

The constraints include: the upper and lower limits of single well fluid volume in unstaged wells, the total injection and production constraints of each layer in segmented wells, the packer measure constraints of segmented wells, and the total liquid production of the reservoir model. quantity constraints and total injection quantity constraints.

In step 3, the steps for optimizing and modeling the segmented position measurement parameters of each segmented well are: optimizing the segmented position of the segmented well, that is, optimizing the packer setting position, and the optimization variable is segmented Well segmented location measure parameters:

Among them, c _zu represents whether measures to run a packer are taken between the u-th section and the u+1-th section of the z-th segmented well, and c _zu =1 represents the gap between the u-th section and the u+1-th section. A packer is inserted between the layers. c _zu =0 means no packer is inserted between the u-th layer and the u+1 layer. k is the number of geological layers; s is the well with segmented water injection wells. number; d is the number of wells that have been staged for production;

The steps for optimizing the modeling of the injection and production parameters of each section of the segmented well are: optimizing the liquid volume of each section of the segmented well, and the optimization variable is the injection and production parameters of the section of the segmented well:

in, Characterizes the allocated injection volume of the h-th section of the l-th segmented water injection well;/> represents the production fluid volume of the v-th section of the g-th staged oil production well; s is the number of staged water injection wells; d is the number of staged oil production wells;

The steps for optimizing the modeling of flat general injection and production parameters for unstaged wells are:

in, Characterizes the general injection volume of the i-th unstaged water injection well;/> Characterizes the general liquid production of the jth unstaged oil production well; n is the number of unstaged water injection wells; m is the number of unstaged oil production wells;

The upper and lower limits of single well fluid volume for unsegmented wells are:

in, and/> Respectively representing the minimum and maximum injection fluid volume of a single well of the i-th unstaged water injection well;/> and/> Respectively represent the minimum and maximum liquid production volume of a single well of the jth unstaged oil production well;

The total injection and production constraints for each section of the segmented well are:

Among them, r is the total number of segmented layers of the l-th segmented water injection well; e is the total number of segmented layers of the g-th segmented oil production well; and/> Respectively characterize the minimum and maximum injection fluid volume of a single well of the l-th staged water injection well;/> and/> Respectively represent the minimum and maximum liquid production volume of a single well of the g-th staged oil production well;

The total liquid production volume constraints and total injection volume constraints of the reservoir model are:

Among them, Q ^inj and Q ^pro are the total injection volume and total liquid production volume of the reservoir model respectively;

The packer measure constraints for segmented wells are:

Among them, u is the number of packers corresponding to the segmented well intervals;

The expression of the mathematical model for the integrated optimization of layered injection and production section combinations and section injection and production distribution is:

Among them, FOPT is the cumulative oil production and FWCT is the comprehensive water content.

Step 4 includes:

Call the reservoir numerical simulator to calculate the cumulative oil production and comprehensive water content of several layered injection and production section combinations and section injection and production comprehensive adjustment plans under the initial iteration step;

Comparing the cumulative oil production and comprehensive water content of several layered injection and production section combinations and the comprehensive adjustment plan of section injection and production under the initial iteration step, the optimization goals are to maximize the cumulative oil production and minimize the comprehensive water content. , determine the optimal layered injection-production section combination and the comprehensive adjustment plan for section injection and production allocation;

Through the offspring generation strategy in the global local random search algorithm, several layered injection and production section combinations and section injection and production comprehensive adjustment plans are generated under a new iteration step;

Call the reservoir numerical simulator to calculate the cumulative oil production and comprehensive water content of each layered injection and production section combination and the section injection and production comprehensive adjustment plan under the new iteration step;

The cumulative oil production and comprehensive water content of each layered injection and production section combination and the layer injection and production comprehensive adjustment plan under the new iteration step are compared with the optimal layered injection and production layer combination and layer injection and production. Compare the cumulative oil production and comprehensive water content of the comprehensive production adjustment plan. If the cumulative oil production of the layered injection and production section combination and the layer injection and production comprehensive adjustment plan is higher than the optimal layered injection and production section. The cumulative oil production of the comprehensive adjustment plan for the combination and section injection and production, and the comprehensive water content of the layered injection and production section combination and the comprehensive adjustment plan for section injection and production is lower than the optimal layered injection and production section If the comprehensive moisture content of the layered injection and production layer combination and layer injection and production comprehensive adjustment plan is determined, the layered injection and production layer combination and layer layer injection and production comprehensive adjustment plan will be regarded as the new optimal layered injection and production layer combination and layer. Comprehensive adjustment plan for section injection and production; iterate through this cycle, and when the maximum number of iterations is reached, the optimal layered injection and production section combination and section injection and production comprehensive adjustment plan are output;

Reservoir numerical simulators include tNavigator, eclipse, cmg and other commercial numerical simulation software;

Global and local random search algorithms include cat swarm algorithm, grid adaptive search algorithm, and dung beetle optimization algorithm;

Some of the several layered injection and production section combinations and layer injection and production comprehensive adjustment plans refer to the total number of layered injection and production section combinations and section injection and production comprehensive adjustment plans generated under each iteration step that satisfy the steps The population number value set in 2;

During the optimization iteration process of step 4, it is necessary to determine whether the layered injection-production section combination and the section injection and production comprehensive adjustment plan generated in the new iteration step satisfy the constraint conditions. If not, go to step 3 and restart. generate;

During the optimization iteration process of step 4, it is necessary to determine whether the global random search algorithm reaches the optimization termination condition, that is, whether it reaches the maximum number of iterations set in step 2. If the maximum number of iterations is reached, the optimization ends, otherwise return to step 4. Regenerate the layered injection and production section combination and the section injection and production comprehensive adjustment plan under a new iteration step, until the optimization is completed when the maximum number of iterations is reached.

As an optional implementation mode, the present invention selects a typical five-point method well network with severe interlayer interference to illustrate the method. As shown in Figure 2, they are the permeability distribution and current oil (remaining oil) saturation distribution of the model, including 2 water wells and 6 oil wells. In order to more intuitively reflect the geology and development status of the typical well group, a histogram of the parameters of each small layer of the typical well group was drawn, as shown in Figure 3. The maximum number of layers in the model is 4. The injection and production system of each well before model optimization is shown in Table 1. Each well in the model does not perform stratified water injection or stratified oil production. Among them, the general liquid production volume of corner wells P1 to P4 is 40m ³ /d, and the side wells have The general liquid production volume of P5 and P6 is 80m ³ /d, and the general injection volume of water wells is 160m ³ /d.

Table 1 Injection and production volume of single well before optimization

Next, the method provided by the present invention will be used to optimize the layer combination and layer injection and production adjustment parameters of the block.

The optimization parameters are set as follows: select 4 wells (oil wells P5 and P6, water wells INJ1 and INJ2) to adjust layered injection and production measures. On this basis, optimize the optimal segmented well section combination position (i.e. packer location), injection and production allocation for segmented wells, and general injection and production allocation for unsectioned wells.

The constraint conditions are set as follows: the total injection volume of the model is 320m ³ /d, the total liquid production volume is 320m ³ /d, and the injection and production balance is maintained. The number of intervals in Well P5 is 3, that in Well P6 is 2, that in Well INJ1 is 2, and that in Well INJ2 is 4. The minimum total number of intervals for each single well is The allocation and production settings and the maximum total allocation and production settings are shown in Table 2.

Table 2 Minimum and maximum total injection and production constraints for a single well

The initial set of layered injection and production section combinations and the comprehensive adjustment plan for section injection and production allocation are shown in Table 3. Among them, wells P1, P2, P3, and P4 are all unsegmented wells, and their horizontal general liquid production volumes are all 40m ^3/ d; while well P5 is divided into three intervals, and the interval combination is [S1], [S2] , [S3, S4], the injection and production allocation of each section are 20 m ³ /d, 20 m ³ /d, 40m ³ /d respectively; Well P6 is divided into 2 sections, and the section combination is [S1, S2], [S3, S4], the injection and production allocation of each section is 40m ³ /d; INJ1 well is divided into 2 sections, and the section combination is [S1, S2, S3], [S4], each section The injection and production allocations are 120 m ³ /d and 40 m ³ /d respectively; INJ2 well is divided into 4 sections, and the section combinations are [S1], [S2], [S3], and [S4]. The allocation of each section is Note that the production capacity is 40m ³ /d.

Table 3 Initial layered injection-production section combination and comprehensive adjustment plan for section injection and production allocation

On this basis, the dung beetle optimization algorithm among the global and local random search algorithms was selected, and the initial population number was set to 50, the number of iterations was 500, the model simulation time was 10 years, and other parameters were set to the default values of the algorithm itself.

According to the integrated optimization mathematical model of section combination and section injection and production allocation constructed above, the dung beetle optimization algorithm is used for optimization. Figure 4 shows the section combination and section injection and production allocation of the present invention. The change curve of cumulative oil production during the iteration process of the integrated optimization optimization algorithm; Table 4 shows the optimized layered injection and production section combination and the comprehensive adjustment plan for section injection and production allocation: P1, P2, P3 The general liquid production volumes of Well P4 and Well P4 are 75 m ³ /d, 20 m ³ /d, 70 m ³ /d, and 42 m ³ /d respectively; while Well P5 is divided into three intervals, and the interval combination is [S1, S2], [S3], [S4], the injection and production allocation of each section are 11 m ³ /d, 19 m ³ /d, 10m ³ /d respectively; the P6 well is divided into 3 sections, and the section combination For [S1, S2], [S3], and [S4], the injection and production distribution of each interval are 15 m ³ /d, 33 m ³ /d, and 25 m ³ /d respectively; the INJ1 well is divided into 3 intervals. , the interval combinations are [S1, S2], [S3], [S4], and the injection and production distribution of each interval are 78 m ³ /d, 20 m ³ /d, and 57 m ³ /d respectively; the INJ2 well is divided into There are 3 layers, the layer combinations are [S1, S2], [S3], [S4], and the injection and production allocation of each layer are 60 m ³ /d, 40 m ³ /d, and 65m ³ /d respectively;

Table 4 Optimized layered injection-production section combination and comprehensive adjustment plan for section injection and production allocation

Put the plans before and after optimization into the reservoir numerical simulator eclipse to obtain the development indicators shown in Table 5, and the remaining oil saturation distribution map before and after optimization shown in Figure 5.

Table 5 shows the comparison of development indicators before and after optimization.

Using this method, a comprehensive adjustment and optimization design for stratified injection and production of the oil reservoir in the ultra-high water cut period was carried out in this block. Compared with the plan designed based on the oil field experience method, it can be found that the adjustment plan designed based on the oil field experience method has a certain oil increase. effect, but the comprehensive adjustment plan optimized by using the method provided by the present invention can further improve the development effect, achieve the purpose of increasing oil and reducing water in the reservoir, and at the same time solves the blindness of the design of the oil field on-site injection and production plan, improves the success rate of the measures, and applies It is convenient and efficient, and has important guiding significance for the design of comprehensive adjustment plans for on-site layered injection and production layer combinations and layer injection and production allocation.

Obviously, the specific implementation of the present invention is not limited by the above-mentioned manner. As long as various non-substantive improvements are made to the method concepts and technical solutions of the present invention, or the concepts and technical solutions of the present invention are directly applied to other applications without improvement. All situations are within the protection scope of the present invention.

Claims (10)

1. An integrated optimization method for layered injection and production section combinations and section injection and production allocation, which is characterized by including the following steps: Step 1: Collect and count the geological and development data of the current oil reservoir block, and determine the total number of sections of each segmented well, the number of layered water injection wells, the number of layered production wells, and the number of unsegmented wells; Step 2: Carry out preparations for the integrated optimization of layer combinations and layer injection and production allocation for layered injection and production, and set optimization parameters for layered injection and production layer combinations and layer injection and production integration; Step 3: Construct an integrated optimization mathematical model for layered injection and production section combinations and section injection and production allocation; Step 4: Use the global and local random search algorithm to optimize and solve the integrated optimization mathematical model of layered injection and production section combinations and layer injection and production allocation, and determine the optimal layered injection and production section combination and section injection and production allocation. comprehensive adjustment plan. 2. An integrated optimization method for layered injection and production section combinations and section injection and production allocation according to claim 1, characterized in that the geological and development data in step 1 include: reservoir geological data and dynamic development materials; The geological data of the oil reservoir include: the number of geological sublayers of the oil reservoir, the permeability distribution of each geological sublayer, the porosity distribution of each geological sublayer, the sand body thickness distribution of each geological sublayer, and the distribution of sand body thickness of each geological sublayer. Net-to-gross ratio distribution, crude oil density, formation crude oil volume coefficient; The dynamic development data includes: the oil saturation distribution of each geological sub-layer, the formation pressure distribution of each geological sub-layer, the remaining oil reserve abundance distribution of each geological sub-layer, the cumulative water injection volume of each layered water injection section, The cumulative oil production of each layered oil production section, the water cut curve of the reservoir block, the cumulative oil production curve of the reservoir block, the water cut curve of each single well, the daily oil production curve of each single well, and the total water injection well Injection volume and total liquid production of production wells. 3. An integrated optimization method for layered injection and production section combinations and section injection and production allocation according to claim 1, characterized in that the step 1 determines the section division of each segmented well. The total number, the number of layered water injection wells, the number of layered production wells, and the number of unstaged wells include: based on the historical production data of injection wells and production wells, the number of staged water injection wells and the number of staged water injection wells are determined. The total number of interval divisions, the number of wells in staged oil production wells, the total number of interval divisions in staged oil production wells, the number of water wells in unstaged wells, and the number of oil wells in unstaged wells. 4. An integrated optimization method for layered injection and production section combinations and layer injection and production allocation according to claim 1, characterized in that, in step 2, the layered injection and production section combinations and layers are set. Integrated optimization parameters for segment injection and production include: Determine the optimization variables, which include: the segmented location measurement parameters of each segmented well, the interval injection and production parameters of each segmented well, and the plane general liquid volume parameters of each unsegmented well; Specify the constraint conditions, which include the upper and lower limits of single well fluid volume in unstaged wells, the total injection and production constraints of each layer in segmented wells, the packer measure constraints of segmented wells, and the constraints of the reservoir model. Total liquid production volume constraints and total injection volume constraints; Generate a comprehensive adjustment plan for layered injection and production section combinations and section injection and production allocation under the initial iteration step; The relevant parameters of the global local random search algorithm are given, including the number of populations, the maximum number of iterations, and the termination condition. 5. An integrated optimization method for layered injection and production section combinations and layer injection and production allocation according to claim 4, characterized in that, after step 2, the layered injection and production section combinations and layers are set. Comprehensive adjustment and optimization parameters for section injection and production, including: judging whether the stratified injection and production section combination and section injection and production comprehensive adjustment plan generated in step 2 are executed; if executed, use the input plan as the initial plan ; If not executed, according to the constraint setting in step 2, randomly generate a number of segmented position measurement parameters of each segmented well, segment injection and production parameters of each segmented well, and each unsegmented well. The layered injection and production section combination and the comprehensive adjustment plan for section injection and production allocation are composed of the horizontal general liquid volume parameters of the well. 6. An integrated optimization method for layered injection and production section combinations and layer allocation, injection and production according to claim 1, characterized in that in step 3, the layered injection and production section combinations and section allocation are The mathematical model for the integrated optimization of injection and production includes objective functions, layered injection and production section combinations, and comprehensive adjustment parameters and constraints for section injection and production allocation; The objective function is the maximum cumulative oil production and the minimum comprehensive water content; The layered injection and production section combinations and section injection and production comprehensive adjustment parameters are the section location measurement parameters of each segmented well, the section injection and production parameters of each sectioned well, and the section injection and production parameters of each unsectioned well. The horizontal general liquid volume parameters of the well; The constraints include: the upper and lower limits of single well fluid volume in unstaged wells, the total injection and production constraints of each section of segmented wells, the packer measure constraints of segmented wells, and the overall reservoir model. Liquid production volume constraints and total injection volume constraints. 7. An integrated optimization method for layered injection and production section combinations and section injection and production allocation according to claim 6, characterized in that in step 3, The steps for optimizing the modeling of the segmented position measure parameters of each segmented well are: optimizing the segmented position of the segmented well, and the optimization variables are the segmented position measure parameters of the segmented well: , Among them, c _zu represents whether measures to run a packer are taken between the u-th section and the u+1-th section of the z-th segmented well, and c _zu =1 represents the gap between the u-th section and the u+1-th section. A packer is inserted between the layers. c _zu =0 means that no packer is inserted between the u-th layer and the u+1 layer. k is the number of geological layers; s is the well with segmented water injection wells. number; d is the number of wells that have been staged for production; The steps for optimizing the modeling of the injection and production parameters of each section of the segmented well are: optimizing the liquid volume of each section of the segmented well, and the optimization variable is the injection and production parameters of the section of the segmented well: , in, Characterizes the allocated injection volume of the h-th section of the l-th segmented water injection well;/> represents the production fluid volume of the v-th section of the g-th staged oil production well; s is the number of staged water injection wells; d is the number of staged oil production wells; The steps for optimizing the modeling of flat general injection and production parameters for unstaged wells are: , in, Characterizes the general injection volume of the i-th unstaged water injection well;/> Characterizes the general liquid production of the jth unstaged oil production well; n is the number of unstaged water injection wells; m is the number of unstaged oil production wells; The upper and lower limits of the single well fluid volume of the unsegmented well are: , in, and/> Respectively representing the minimum and maximum injection fluid volume of a single well of the i-th unstaged water injection well;/> and Respectively represent the minimum and maximum liquid production volume of a single well of the jth unstaged oil production well; The total injection and production constraints of the section of the segmented well are: , Among them, r is the total number of segmented layers of the l-th segmented water injection well; e is the total number of segmented layers of the g-th segmented oil production well; and/> Respectively characterize the minimum and maximum injection fluid volume of a single well of the l-th staged water injection well;/> and/> Respectively represent the minimum and maximum liquid production volume of a single well of the g-th staged oil production well; The total liquid production volume constraints and total injection volume constraints of the reservoir model are: , Among them, Q ^inj and Q ^pro are the total injection volume and total liquid production volume of the reservoir model respectively; The packer measure constraints for segmented wells are: , Among them, u is the number of packers corresponding to the segmented well intervals; The expression of the mathematical model for the integrated optimization of layered injection and production section combinations and section injection and production distribution is: , , , , Among them, FOPT is the cumulative oil production and FWCT is the comprehensive water content. 8. An integrated optimization method for layered injection and production section combinations and section injection and production allocation according to claim 1, characterized in that the step 4 includes: Call the reservoir numerical simulator to calculate the cumulative oil production and comprehensive water content of several layered injection and production section combinations and section injection and production comprehensive adjustment plans under the initial iteration step; Comparing the cumulative oil production and comprehensive water content of several layered injection and production section combinations and section injection and production comprehensive adjustment plans under the initial iteration step, maximizing cumulative oil production and minimizing comprehensive water content are the optimization goals. , determine the optimal layered injection-production section combination and the comprehensive adjustment plan for section injection and production allocation; Through the offspring generation strategy in the global local random search algorithm, several layered injection and production section combinations and section injection and production comprehensive adjustment plans are generated under a new iteration step; Call the reservoir numerical simulator to calculate the cumulative oil production and comprehensive water content of each layered injection and production section combination and the section injection and production comprehensive adjustment plan under the new iteration step; The cumulative oil production and comprehensive water content of each layered injection and production section combination and the layer injection and production comprehensive adjustment plan under the new iteration step are compared with the optimal layered injection and production layer combination and layer injection and production. Compare the cumulative oil production and comprehensive water content of the comprehensive production adjustment plan. If the cumulative oil production of the layered injection and production section combination and the layer injection and production comprehensive adjustment plan is higher than the optimal layered injection and production section. The cumulative oil production of the comprehensive adjustment plan for the combination and section injection and production, and the comprehensive water content of the layered injection and production section combination and the comprehensive adjustment plan for section injection and production is lower than the optimal layered injection and production section If the comprehensive moisture content of the layered injection and production layer combination and layer injection and production comprehensive adjustment plan is determined, the layered injection and production layer combination and layer layer injection and production comprehensive adjustment plan will be regarded as the new optimal layered injection and production layer combination and layer. A comprehensive adjustment plan for section injection and production allocation; iterate through this cycle, and when the maximum number of iterations is reached, the optimal layered injection-production section combination and a comprehensive adjustment plan for section injection and production allocation are output. 9. An integrated optimization method for layered injection and production section combinations and section injection and production allocation according to claim 8, characterized in that the reservoir numerical simulator includes tNavigator, eclipse, and cmg; Some of the several layered injection and production section combinations and section injection and production comprehensive adjustment plans refer to the total number of layered injection and production section combinations and section injection and production comprehensive adjustment plans generated under each iteration step. Meet the population number value set in step 2; During the optimization iteration process of step 4, it is necessary to determine whether the layered injection-production section combination and the section injection and production comprehensive adjustment plan generated in the new iteration step meet the constraint conditions. If not, go to step 3 and restart. generate; During the optimization iteration process of step 4, it is necessary to determine whether the global random search algorithm has reached the maximum number of iterations set in step 2. If the maximum number of iterations has been reached, the optimization ends, otherwise return to step 4 to regenerate a new iteration step. The comprehensive adjustment plan for layered injection and production section combinations and section injection and production allocation will be completed until the maximum number of iterations is reached. 10. A method for stratified injection and production section combination and section injection and production integrated optimization method according to claim 4 or 8, characterized in that the global and local random search algorithm includes cat swarm algorithm, grid Adaptive search algorithm, dung beetle optimization algorithm.