CN117744897A - Layered injection and production interval combination and interval injection and production allocation integrated optimization method - Google Patents
Layered injection and production interval combination and interval injection and production allocation integrated optimization method Download PDFInfo
- Publication number
- CN117744897A CN117744897A CN202410190114.0A CN202410190114A CN117744897A CN 117744897 A CN117744897 A CN 117744897A CN 202410190114 A CN202410190114 A CN 202410190114A CN 117744897 A CN117744897 A CN 117744897A
- Authority
- CN
- China
- Prior art keywords
- injection
- production
- allocation
- interval
- well
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000002347 injection Methods 0.000 title claims abstract description 374
- 239000007924 injection Substances 0.000 title claims abstract description 374
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 344
- 238000005457 optimization Methods 0.000 title claims abstract description 90
- 238000000034 method Methods 0.000 title claims abstract description 62
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 111
- 238000011161 development Methods 0.000 claims abstract description 25
- 238000010845 search algorithm Methods 0.000 claims abstract description 24
- 238000013178 mathematical model Methods 0.000 claims abstract description 16
- 238000002360 preparation method Methods 0.000 claims abstract description 4
- 239000003921 oil Substances 0.000 claims description 144
- 239000007788 liquid Substances 0.000 claims description 61
- 238000009826 distribution Methods 0.000 claims description 24
- 230000018109 developmental process Effects 0.000 claims description 21
- 238000000605 extraction Methods 0.000 claims description 9
- 230000035699 permeability Effects 0.000 claims description 7
- 241000254173 Coleoptera Species 0.000 claims description 6
- 239000010779 crude oil Substances 0.000 claims description 6
- 210000003608 fece Anatomy 0.000 claims description 6
- 239000012530 fluid Substances 0.000 claims description 5
- 241000282326 Felis catus Species 0.000 claims description 4
- 238000003860 storage Methods 0.000 claims description 4
- 230000015572 biosynthetic process Effects 0.000 claims description 3
- 230000008929 regeneration Effects 0.000 claims description 3
- 238000011069 regeneration method Methods 0.000 claims description 3
- 239000004576 sand Substances 0.000 claims description 3
- 239000000463 material Substances 0.000 claims description 2
- 230000010354 integration Effects 0.000 claims 2
- 230000000694 effects Effects 0.000 abstract description 4
- 230000001965 increasing effect Effects 0.000 abstract description 3
- 239000010410 layer Substances 0.000 description 86
- 238000013461 design Methods 0.000 description 6
- 238000004088 simulation Methods 0.000 description 4
- 230000001276 controlling effect Effects 0.000 description 3
- 239000011229 interlayer Substances 0.000 description 3
- 230000011218 segmentation Effects 0.000 description 3
- 201000004569 Blindness Diseases 0.000 description 2
- 238000012407 engineering method Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000000704 physical effect Effects 0.000 description 2
- 230000001105 regulatory effect Effects 0.000 description 2
- 230000000630 rising effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000001186 cumulative effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000012938 design process Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000012804 iterative process Methods 0.000 description 1
- 239000003129 oil well Substances 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 239000000243 solution Substances 0.000 description 1
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A10/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE at coastal zones; at river basins
- Y02A10/40—Controlling or monitoring, e.g. of flood or hurricane; Forecasting, e.g. risk assessment or mapping
Landscapes
- Consolidation Of Soil By Introduction Of Solidifying Substances Into Soil (AREA)
Abstract
The invention relates to the field of oil and gas exploration and development, and particularly discloses a layered injection and production interval combination and interval injection and production allocation integrated optimization method, which comprises the following steps: step 1, collecting and counting geology and development data of a current oil reservoir block, and determining the total number of layer section divisions, the number of layered water injection wells, the number of layered oil production wells and the number of non-segmented wells of each segmented well; step 2, carrying out layer section combination of layered injection and production allocation and integrated optimization preparation work of layer section injection and production allocation, and setting layer section combination of layered injection and production allocation and integrated optimization parameters of layer section injection and production allocation; step 3, constructing a layered injection and production interval combination and interval injection and production allocation integrated optimization mathematical model; and 4, optimizing and solving the layered injection and production interval combination and interval injection and production allocation integrated optimization mathematical model by adopting a global local random search algorithm, and determining an optimal comprehensive adjustment scheme of the layered injection and production interval combination and interval injection and production allocation. The method improves the development effect and achieves the purpose of increasing and lowering the oil in the oil reservoir.
Description
Technical Field
The invention belongs to the technical field of oil and gas field development, and particularly relates to a layered injection and production interval combination and interval injection and production allocation integrated optimization method which is used for economically and effectively improving the recovery ratio of a water-flooding reservoir.
Background
For water flooding development oil fields in the ultra-high water cut period, injection and production adjustment is one of measures for economically and effectively controlling yield decrease and water rise. Because of large physical property differences of reservoirs in each small layer of oil reservoir and serious interlayer interference, the problem of ineffective water injection circulation in layers and among layers is difficult to solve by general injection and extraction, and the layered injection and extraction is a very effective method for solving the problem.
The separate layer injection and production is to utilize the packer to inject water or oil into a layer segment with small layer combination with similar physical properties and development conditions, limit the well-developed layer segment injection and production amount by the water nozzle of the water distributor, improve the layer segment injection and production amount with low permeability and poor development effect, and improve the imbalance condition of longitudinal distribution displacement by adjusting the in-layer and interlayer injection and production structure, thereby controlling the rising of water content, improving the water injection utilization rate and relieving the decrease of production.
By searching, the invention patent of application number 201610438774.1 discloses a method for determining the injection allocation of a separate layer water injection interval, and an oil reservoir engineering method is utilized to establish the method for calculating the injection allocation of the separate layer water injection interval according to the relation of the extraction degree, the water storage rate and the water content; the invention patent of application number 201911037169.3 discloses a reasonable layering method of a water injection oil reservoir, which adopts Lorentz coefficients as evaluation standards and adopts water meeting time level differences of all layers before water meeting and water containing rising rate level differences of all layers after water meeting as layering water injection economic and technical limits; the invention patent of application number 201910971837.3 discloses a method for regulating and controlling the stratified water injection of a high-water-consumption zone-development oil reservoir, wherein the stratified water injection is finely regulated by judging the level of the high-water-consumption zone and recombining the layers by adopting an optimal segmentation method.
The research on reasonable segmentation number and optimal segmentation position related in the current layered injection and production mainly carries out single optimization determination through an oil reservoir engineering method and a numerical simulation technology; the study of optimal hierarchical injection allocation is mainly determined by an optimization method. In the prior art, only single parameter situations are often considered, an optimization algorithm and a numerical simulation technology are not applied to carry out integrated optimization design on the sectional number, sectional positions and combined parameters of layered injection and production allocation of a water-flooding reservoir, the design process of the existing injection and production scheme is complicated, the determination of the injection and production combined parameters is often based on the experience of field staff, blindness is high, the single injection and production parameters are determined mainly by means of a scheme comparison and optimization method, the workload is large, the development effect is poor, the layered injection and production of a general oil is mainly studied, and a set of integrated optimization method for layered injection and production interval combination and interval injection and production allocation is not formed yet.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a layered injection production interval combination and interval injection allocation and production allocation integrated optimization method which can be applied to an oil reservoir in an ultra-high water period.
In order to solve the technical problems, the invention adopts the following technical scheme: a layered injection and production interval combination and interval injection and production allocation integrated optimization method comprises the following steps:
step 1, collecting and counting geology and development data of a current oil reservoir block, and determining the total number of layer section divisions, the number of layered water injection wells, the number of layered oil production wells and the number of non-segmented wells of each segmented well;
step 2, carrying out layer section combination of layered injection and production allocation and integrated optimization preparation work of layer section injection and production allocation, and setting layer section combination of layered injection and production allocation and integrated optimization parameters of layer section injection and production allocation;
step 3, constructing a layered injection and production interval combination and interval injection and production allocation integrated optimization mathematical model;
and 4, optimizing and solving the layered injection and production interval combination and interval injection and production allocation integrated optimization mathematical model by adopting a global local random search algorithm, and determining an optimal comprehensive adjustment scheme of the layered injection and production interval combination and interval injection and production allocation.
Further, the geological and development data materials in the step 1 include: reservoir geological data and dynamic development data;
the reservoir geological data includes: the number of geologic strata of the oil reservoir, the permeability distribution of each geologic strata, the porosity distribution of each geologic strata, the sand thickness distribution of each geologic strata, the net-wool ratio distribution of each geologic strata, the crude oil density and the crude oil volume coefficient of the stratum;
the dynamic development data comprises: the method comprises the steps of oil saturation distribution of each geological small layer, stratum pressure distribution of each geological small layer, residual oil storage abundance distribution of each geological small layer, accumulated injected water quantity of each layered water injection layer section, accumulated oil production of each layered oil extraction layer section, water content curve of an oil reservoir block, accumulated oil production curve of the oil reservoir block, water content curve of each single well, daily oil production curve of each single well, total injected water injection quantity of a water injection well and total liquid production of a production well.
Further, the determining the total number of layer segment divisions, the number of layered water injection wells, the number of layered oil production wells and the number of unsegmented wells in the step 1 includes: according to the historical production data of the injection well and the production well, the number of the segmented water injection wells, the total number of layer section divisions of the segmented water injection wells, the number of the segmented oil production wells, the total number of layer section divisions of the segmented oil production wells, the number of wells without segmented wells and the number of wells without segmented wells are further determined.
Further, setting the layer-by-layer injection-production interval combination and interval injection allocation and production allocation integrated optimization parameters in the step 2 includes:
determining optimization variables, the optimization variables comprising: the method comprises the steps of measuring parameters of the sectional positions of the segmented wells, parameters of the interval injection allocation and production allocation of the segmented wells and parameters of the plane total liquid volume of the non-segmented wells;
specifying constraint conditions, wherein the constraint conditions comprise upper and lower limit constraint of single well liquid amount of an unsegmented well, total injection allocation and production allocation constraint of each layer section of a segmented well, packer measure constraint of the segmented well, total liquid yield constraint of an oil reservoir model and total injection constraint;
generating an initial iteration step lower layered injection and production interval combination and an interval injection and production allocation comprehensive adjustment scheme;
and giving related parameters of the global local random search algorithm, including population number, maximum iteration number and termination condition.
Further, after the step 2, setting comprehensive adjustment optimization parameters of the layered injection and production allocation and the layer section injection and production allocation, including: judging whether the comprehensive adjustment scheme of the injection and production allocation of the formation layered injection and production intervals in the step 2 is executed or not; if the method is executed, taking the input scheme as an initial scheme; if not, a plurality of layered injection production interval combinations and interval injection production allocation comprehensive adjustment schemes consisting of the interval injection production allocation parameters of each segmented well, the interval injection production allocation parameters of each segmented well and the plane total liquid amount parameters of each non-segmented well are randomly generated according to constraint condition setting in the step 2.
Further, the layered injection and production interval combination and interval injection and production allocation integrated optimization mathematical model in the step 3 comprises an objective function, a layered injection and production interval combination, an interval injection and production allocation integrated adjustment parameter and a constraint condition;
the objective function is the maximum accumulated oil yield and the minimum comprehensive water content;
the layered injection and production interval combination and interval injection and production allocation comprehensive adjustment parameters are segment position measure parameters of each segmented well, interval injection and production allocation parameters of each segmented well and plane total liquid volume parameters of each non-segmented well;
the constraint conditions include: the method comprises the following steps of single well liquid amount upper and lower limit constraint of an unsegmented well, total injection allocation and production allocation constraint of each layer section of a segmented well, packer measure constraint of the segmented well, total liquid amount constraint of an oil reservoir model and total injection amount constraint.
Further, in the step 3,
the steps of optimizing and modeling the segment position measure parameters of each segmented well are as follows: optimizing the segment position of the segmented well, wherein the optimizing variable is a segment position measure parameter of the segmented well:
wherein c zu C) characterizing whether a run-in packer is taken between the (u) th interval and the (u+1) th interval of the z-th segmented well zu =1 represents the setting of a packer between the u-th interval and the (u+1) -th interval, c zu =0 represents that no packer is put between the u-th interval and the (u+1) -th interval, and k is the number of geological intervals; s is the number of segmented water injection wells; d is the number of wells of the segmented oil production well;
the method for optimizing and modeling the interval injection allocation and production allocation parameters of the segmented well comprises the following steps: optimizing the liquid amount of each layer section of the segmented well, wherein the optimization variable is the layer section injection allocation and production allocation parameter of the segmented well:
wherein,characterizing the injection allocation quantity of an h layer section of the first mouth section water injection well; />Characterizing the fluid production allocation of the v-th interval of the g-th section of the section production well, wherein s is the number of the sections of the water injection well; d is the number of wells of the segmented oil production well;
the method for optimizing and modeling the plane general injection allocation and production allocation parameters of the unsegmented well comprises the following steps:
wherein,representing the general injection quantity of an i-th unsegmented water injection well; />Characterizing the total liquid production amount of the j-th unsegmented oil production well; n is the number of water injection wells which are not segmented; m is the number of wells of the oil production well which are not segmented;
the total injection allocation and production allocation constraint of the interval of the segmented well is as follows:
wherein r is the total number of the section intervals of the first section water injection well; e is the total number of the section intervals of the g-th section oil production well;and->Representing the minimum injection liquid amount and the maximum injection liquid amount of a single well of the first segmented water injection well respectively; />And->The minimum and maximum liquid production amounts of a single well of the g-th subsection oil production well are respectively represented;
the upper and lower limit constraints of the single well liquid amount of the unsegmented well are as follows:
wherein,and->Representing the minimum injection liquid amount and the maximum injection liquid amount of a single well of an ith unsegmented water injection well respectively; />And->Representing the minimum and maximum liquid production amount of a single well of the j-th unsegmented oil production well respectively;
the total liquid yield constraint and the total injection constraint of the oil reservoir model are as follows:
wherein Q is inj 、Q pro The total injection amount and the total liquid yield of the oil reservoir model are respectively;
the packer measure constraints for a segmented well are:
wherein u is the number of packers corresponding to the segmented well intervals;
the expression of the layered injection and production interval combination and interval injection and production allocation integrated optimization mathematical model is as follows:
wherein FOPT is accumulated oil yield, and FWCT is comprehensive water content.
Further, the step 4 includes:
invoking an oil reservoir numerical simulator, and calculating accumulated oil yield and comprehensive water content of a plurality of layered injection and production interval combinations and interval injection and production allocation comprehensive adjustment schemes under the initial iteration step;
comparing the accumulated oil yield and the comprehensive water content of the multiple layered injection and production interval combinations and interval injection and production allocation comprehensive adjustment schemes under the initial iteration step, and determining the optimal layered injection and production interval combinations and interval injection and production allocation comprehensive adjustment schemes by taking the maximization of the accumulated oil yield and the minimization of the comprehensive water content as optimization targets;
generating a plurality of layered injection-production interval combinations and interval injection allocation and production allocation comprehensive adjustment schemes under a new iteration step through a child generation strategy in a global local random search algorithm;
calling an oil reservoir numerical simulator, and calculating the accumulated oil yield and the comprehensive water content of each layered injection-production interval combination and interval injection allocation and production allocation comprehensive adjustment scheme under a new iteration step;
comparing the accumulated oil yield and the comprehensive water content of each layered injection and production-allocation comprehensive adjustment scheme under a new iteration step with the accumulated oil yield and the comprehensive water content of the optimal layered injection and production-allocation comprehensive adjustment scheme, and taking the layered injection and production-allocation comprehensive adjustment scheme as the new optimal layered injection and production-allocation comprehensive adjustment scheme if the accumulated oil yield of the layered injection and production-allocation comprehensive adjustment scheme is higher than the accumulated oil yield of the optimal layered injection and production-allocation comprehensive adjustment scheme, and the comprehensive water content of the layered injection and production-allocation comprehensive adjustment scheme is lower than the comprehensive water content of the optimal layered injection and production-allocation comprehensive adjustment scheme; and (3) when the iteration is performed in the loop and the maximum iteration times are reached, outputting an optimal layered injection and production interval combination and an interval injection and production allocation comprehensive adjustment scheme.
Further, the reservoir numerical simulator comprises tNavigator, eclipse, cmg;
the plurality of the layered injection and production interval combinations and the plurality of layered injection and production allocation comprehensive adjustment schemes are generated in each iteration step, and the total number of the layered injection and production interval combinations and the layered injection and production allocation comprehensive adjustment schemes meets the population number value set in the step 2;
in the process of executing the optimization iteration of the step 4, judging whether the layered injection-production interval combination and interval injection allocation and production allocation comprehensive adjustment scheme generated in the new iteration step meet constraint conditions or not, and if not, turning to the step 3 for regeneration;
in the process of executing the optimization iteration of the step 4, whether the global random search algorithm reaches the maximum iteration number set in the step 2 is needed to be judged, if the global random search algorithm reaches the maximum iteration number, the optimization is ended, otherwise, the step 4 is returned to regenerate the layered injection and production interval combination and interval injection allocation and production allocation comprehensive adjustment scheme under the new iteration step, and the optimization is ended until the maximum iteration number is reached.
Further, the global local random search algorithm comprises a cat swarm algorithm, a grid self-adaptive search algorithm and a dung beetle optimization algorithm.
Compared with the prior art, the invention has the following beneficial effects:
the invention combines the optimization theory with the oil reservoir numerical simulation, aims at the position of the oil reservoir section of the segmented well and the injection and production allocation of the oil reservoir section, and the plane total injection and production allocation of the non-segmented well, takes the maximum accumulated oil yield and the minimum comprehensive water content as optimization targets, and carries out integrated intelligent optimization design on the oil reservoir section combination, the injection and production allocation of the oil reservoir section and the general injection and production allocation of the non-segmented well, thereby determining the comprehensive adjustment scheme of the oil reservoir section combination and the injection and production allocation of the oil reservoir section.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort to a person skilled in the art.
FIG. 1 is a flow chart of an integrated optimization method for injection and production allocation of a layered injection and production interval combination and interval allocation;
FIG. 2 is a graph showing the permeability profile and current oil saturation profile of a model of an embodiment of the present invention;
FIG. 3 is a bar graph of model parameters for each interval of a model of an embodiment of the invention, wherein (a) is a permeability bar graph, (b) is a residual saturation bar graph, and (c) is a reserve abundance bar graph;
FIG. 4 is a graph showing the cumulative oil production variation during an optimization iteration process according to an embodiment of the present invention;
FIG. 5 is a graph showing the residual oil saturation distribution before and after model optimization in accordance with an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without creative efforts, are within the scope of the present invention based on the embodiments of the present invention.
Fig. 1 is a flowchart of the method for optimizing the combination of the layered injection and production intervals and the integrated injection and production allocation of the intervals, as shown in fig. 1, wherein the method for optimizing the combination of the layered injection and production intervals and the integrated injection and production allocation of the intervals comprises the following steps:
step 1, collecting and counting geology and development data of a current oil reservoir block, and determining the total number of layer section divisions, the number of layered water injection wells, the number of layered oil production wells and the number of non-segmented wells of each segmented well;
step 2, carrying out layer section combination of layered injection and production allocation and integrated optimization preparation work of layer section injection and production allocation, and setting layer section combination of layered injection and production allocation and integrated optimization parameters of layer section injection and production allocation;
step 3, constructing a layered injection and production interval combination and interval injection and production allocation integrated optimization mathematical model;
and 4, optimizing and solving the layered injection and production interval combination and interval injection and production allocation integrated optimization mathematical model by adopting a global local random search algorithm, and determining an optimal comprehensive adjustment scheme of the layered injection and production interval combination and interval injection and production allocation.
The geological and development data in the step 1 comprises: reservoir geological data and dynamic development data;
the reservoir geological data includes: the number of geologic strata of the oil reservoir, the permeability distribution of each geologic strata, the porosity distribution of each geologic strata, the sand thickness distribution of each geologic strata, the net-wool ratio distribution of each geologic strata, the crude oil density and the crude oil volume coefficient of the stratum;
dynamic development data includes: the method comprises the steps of oil saturation distribution of each geological small layer, stratum pressure distribution of each geological small layer, residual oil storage abundance distribution of each geological small layer, accumulated injected water quantity of each layered water injection layer section, accumulated oil production of each layered oil extraction layer section, water content curve of an oil reservoir block, accumulated oil production curve of the oil reservoir block, water content curve of each single well, daily oil production curve of each single well, total injected water injection quantity of a water injection well and total liquid production of a production well.
The step 1 of determining the total number of layer segment divisions, the number of layered water injection wells, the number of layered oil production wells and the number of unsegmented wells of each segmented well comprises the following steps: according to the historical production data of the injection well and the production well, the number of the segmented water injection wells, the total number of layer section divisions of the segmented water injection wells, the number of the segmented oil production wells, the total number of layer section divisions of the segmented oil production wells, the number of wells without segmented wells and the number of wells without segmented wells are further determined.
Setting the layer-by-layer injection and production-allocation layer section combination and layer section injection and production-allocation integrated optimization parameters in the step 2 comprises the following steps:
determining optimization variables, the optimization variables comprising: the method comprises the steps of measuring parameters of the section positions of each section well (namely, determining the section positions of each section in the section well or not) and the section injection and production allocation parameters of each section well and the plane total liquid amount parameters of each non-section well;
specifying constraint conditions, wherein the constraint conditions comprise upper and lower limit constraint of single well liquid amount of an unsegmented well, total injection allocation and production allocation constraint of each layer section of a segmented well, packer measure constraint of the segmented well, total liquid yield constraint of an oil reservoir model and total injection constraint;
generating an initial iteration step lower layered injection and production interval combination and an interval injection and production allocation comprehensive adjustment scheme;
and giving related parameters of the global local random search algorithm, including population number, maximum iteration number and termination condition. The global local random search algorithm comprises a cat swarm algorithm, a grid self-adaptive search algorithm and a dung beetle optimization algorithm.
After the step 2, setting the layer injection and production section combination and the layer injection and production allocation comprehensive adjustment optimization parameters, wherein the method comprises the following steps: judging whether the comprehensive adjustment scheme of the injection and production allocation of the formation layered injection and production intervals in the step 2 is executed or not; if the method is executed, taking the input scheme as an initial scheme; if not, a plurality of layered injection production interval combinations and interval injection production allocation comprehensive adjustment schemes consisting of the interval injection production allocation parameters of each segmented well, the interval injection production allocation parameters of each segmented well and the plane total liquid amount parameters of each non-segmented well are randomly generated according to constraint condition setting in the step 2.
The layered injection and production interval combination and interval injection and production allocation integrated optimization mathematical model in the step 3 comprises an objective function, a layered injection and production interval combination and an interval injection and production allocation integrated adjustment parameter and constraint condition;
the objective function is the maximum accumulated oil yield and the minimum comprehensive water content;
the stratified injection and production interval combination and the interval injection and production allocation comprehensive adjustment parameters are the sectional position measure parameters of each segmented well, the interval injection and production allocation parameters of each segmented well and the plane total liquid volume parameters of each non-segmented well;
the constraint conditions include: the method comprises the following steps of single well liquid amount upper and lower limit constraint of an unsegmented well, total injection allocation and production allocation constraint of each layer section of a segmented well, packer measure constraint of the segmented well, total liquid amount constraint of an oil reservoir model and total injection amount constraint.
In the step 3, the step of optimizing and modeling the segment position measure parameters of each segmented well is as follows: optimizing the segmented position of the segmented well, namely optimizing the running position of the packer, wherein the optimizing variable is a segmented position measure parameter of the segmented well:
wherein c zu C) characterizing whether a run-in packer is taken between the (u) th interval and the (u+1) th interval of the z-th segmented well zu =1 represents the setting of a packer between the u-th interval and the (u+1) -th interval, c zu =0 represents that no packer is put between the u-th interval and the (u+1) -th interval, and k is the number of geological intervals; s is the number of segmented water injection wells; d is the number of wells of the segmented oil production well;
the method for optimizing and modeling the interval injection allocation and production allocation parameters of the segmented well comprises the following steps: optimizing the liquid amount of each layer section of the segmented well, wherein the optimization variable is the layer section injection allocation and production allocation parameter of the segmented well:
wherein,characterizing the injection allocation quantity of an h layer section of the first mouth section water injection well; />Characterizing the fluid production allocation of the v-th interval of the g-th section of the section production well, wherein s is the number of the sections of the water injection well; d is the number of wells of the segmented oil production well;
the method for optimizing and modeling the plane general injection allocation and production allocation parameters of the unsegmented well comprises the following steps:
wherein,representing the general injection quantity of an i-th unsegmented water injection well; />Characterizing the total liquid production amount of the j-th unsegmented oil production well; n is the number of water injection wells which are not segmented; m is the number of wells of the oil production well which are not segmented;
the upper and lower limit constraints of the single well fluid volume of the unsegmented well are:
wherein,and->Representing the minimum injection liquid amount and the maximum injection liquid amount of a single well of an ith unsegmented water injection well respectively; />And->Representing the minimum and maximum liquid production amount of a single well of the j-th unsegmented oil production well respectively;
the total injection and production allocation constraints of each interval of the segmented well are as follows:
wherein r is the total number of the section intervals of the first section water injection well; e is the total number of the section intervals of the g-th section oil production well;and->Representing the minimum injection liquid amount and the maximum injection liquid amount of a single well of the first segmented water injection well respectively; />And->The minimum and maximum liquid production amounts of a single well of the g-th subsection oil production well are respectively represented;
the total liquid yield constraint and the total injection constraint of the oil reservoir model are as follows:
wherein Q is inj 、Q pro The total injection amount and the total liquid yield of the oil reservoir model are respectively;
the packer measure constraints for a segmented well are:
wherein u is the number of packers corresponding to the segmented well intervals;
the expression of the layered injection and production interval combination and interval injection and production allocation integrated optimization mathematical model is as follows:
wherein FOPT is accumulated oil yield, and FWCT is comprehensive water content.
Step 4 comprises:
invoking an oil reservoir numerical simulator, and calculating accumulated oil yield and comprehensive water content of a plurality of layered injection and production interval combinations and interval injection and production allocation comprehensive adjustment schemes under the initial iteration step;
comparing the accumulated oil yield and the comprehensive water content of the multiple layered injection and production interval combinations and interval injection and production allocation comprehensive adjustment schemes under the initial iteration step, and determining the optimal layered injection and production interval combinations and interval injection and production allocation comprehensive adjustment schemes by taking the maximization of the accumulated oil yield and the minimization of the comprehensive water content as optimization targets;
generating a plurality of layered injection-production interval combinations and interval injection allocation and production allocation comprehensive adjustment schemes under a new iteration step through a child generation strategy in a global local random search algorithm;
calling an oil reservoir numerical simulator, and calculating the accumulated oil yield and the comprehensive water content of each layered injection-production interval combination and interval injection allocation and production allocation comprehensive adjustment scheme under a new iteration step;
comparing the accumulated oil yield and the comprehensive water content of each layered injection and production-allocation comprehensive adjustment scheme under a new iteration step with the accumulated oil yield and the comprehensive water content of the optimal layered injection and production-allocation comprehensive adjustment scheme, and taking the layered injection and production-allocation comprehensive adjustment scheme as the new optimal layered injection and production-allocation comprehensive adjustment scheme if the accumulated oil yield of the layered injection and production-allocation comprehensive adjustment scheme is higher than the accumulated oil yield of the optimal layered injection and production-allocation comprehensive adjustment scheme, and the comprehensive water content of the layered injection and production-allocation comprehensive adjustment scheme is lower than the comprehensive water content of the optimal layered injection and production-allocation comprehensive adjustment scheme; when the maximum iteration times are reached, outputting an optimal layered injection and production interval combination and interval injection and production allocation comprehensive adjustment scheme;
the reservoir numerical simulator comprises commercial numerical simulation software such as tNavigator, eclipse, cmg;
the global local random search algorithm comprises a cat swarm algorithm, a grid self-adaptive search algorithm and a dung beetle optimization algorithm;
the plurality of the layered injection and production interval combinations and the plurality of the layered injection and production allocation comprehensive adjustment schemes are generated in each iteration step, and the total number of the layered injection and production interval combinations and the layered injection and production allocation comprehensive adjustment schemes meets the population number value set in the step 2;
in the process of executing the optimization iteration of the step 4, judging whether the layered injection-production interval combination and interval injection allocation and production allocation comprehensive adjustment scheme generated in the new iteration step meet constraint conditions or not, and if not, turning to the step 3 for regeneration;
in the process of executing the optimization iteration of the step 4, whether the global random search algorithm reaches the optimization termination condition or not needs to be judged, namely whether the maximum iteration number set in the step 2 is reached, if the maximum iteration number is reached, the optimization is ended, otherwise, the step 4 is returned to regenerate the layered injection-production interval combination and interval injection allocation and production allocation comprehensive adjustment scheme under the new iteration step until the maximum iteration number is reached, and the optimization is ended.
As an alternative implementation mode, the method selects a typical five-point well pattern with serious interlayer interference for description. As shown in FIG. 2, the permeability profile and the current saturation profile of the oil (residual oil) of the model, respectively, include2 wells and 6 wells. In order to more intuitively embody the geology and development condition of the typical well group, a histogram of each small layer parameter of the typical well group is drawn, and as shown in fig. 3, the maximum layer section number of the model is 4. The injection and production degree of each well before model optimization is shown in table 1, each well of the model does not perform separate water injection or separate oil extraction, wherein the general liquid production amounts of the corner wells P1 to P4 are 40m 3 The general liquid production amounts of the side wells P5 and P6 are 80m 3 The general injection quantity of the water well is 160m 3 /d。
Table 1 single well injection and production fluid before optimization
The method provided by the invention is adopted to carry out the optimization design of the interval combination and the interval injection allocation production allocation adjustment parameters of the block.
The optimization parameters are set as follows: and 4 wells (oil wells P5 and P6 and water wells INJ1 and INJ 2) are selected for layered injection and production measure adjustment, and on the basis, the optimal sectional well interval combination position (namely packer position), sectional well interval injection allocation and production allocation and general injection allocation and production allocation of non-sectional wells are optimized.
The constraint conditions are set as follows: the total injection quantity of the model is 320m 3 And/d, total liquid extraction amount of 320m 3 And/d, maintaining the balance of the injection and production. The interval division number of the P5 well is 3 sections, the interval division number of the P6 well is 2 sections, the interval division number of the INJ1 well is 2 sections, the interval division number of the INJ2 well is 4 sections, and the minimum total injection allocation and the maximum total injection allocation of each single well are set as shown in table 2.
Table 2 constraint table for minimum and maximum total injection and production allocation for single well
The initial set of the layer-by-layer injection and production interval combinations and the comprehensive adjustment scheme of the layer-by-layer injection and production allocation are shown in table 3. Wherein the P1, P2, P3 and P4 wells are non-segmented wells, and the liquid production amount of the plane cage is 40m 3/ d, a step of; while P5 wellDivided into 3 intervals, the intervals are combined into [ S1 ]]、[S2]、[S3,S4]The injection and production allocation of each layer section is respectively 20m 3 /d、20 m 3 /d、40m 3 /d; the P6 well is divided into 2 layers, and the layers are combined into [ S1, S2 ]]、[S3,S4]The injection and production allocation of each layer section is 40m 3 /d; INJ1 well is divided into 2 sections, and the layer section combination is [ S1, S2, S3 ]]、[S4]The injection and production allocation of each layer section is 120 m respectively 3 /d、40m 3 /d; INJ2 well is divided into 4 sections, and the layer section combination is [ S1 ]]、[S2]、[S3]、[S4]The injection and production allocation of each layer section is 40m 3 /d。
Table 3 initial layered injection and production interval combination and interval injection and production allocation comprehensive adjustment scheme
On the basis, selecting a dung beetle optimization algorithm in a global local random search algorithm, setting the initial population number as 50, the iteration number as 500, the model simulation time as 10 years, and taking other parameters as default values of the algorithm.
According to the constructed layer segment combination and layer segment injection allocation and production allocation integrated optimization mathematical model, the layer segment combination and layer segment injection allocation and production allocation integrated optimization mathematical model is optimized by adopting a dung beetle optimization algorithm, and a graph of a change of accumulated oil production in an iterative process of the optimization algorithm of the layered injection production layer segment combination and layer segment injection allocation and production allocation integrated optimization is shown in FIG. 4; table 4 is the comprehensive adjustment scheme of the optimized layered injection and production interval combination and interval injection and production allocation: wherein the plane general liquid extraction amounts of P1, P2, P3 and P4 wells are 75 m respectively 3 /d、20 m 3 /d、70 m 3 /d、42m 3 /d; while the P5 well is divided into 3 layers of layers, the layers are combined into [ S1, S2 ]]、[S3]、[S4]The injection and production allocation of each layer section is 11 m respectively 3 /d、19 m 3 /d、10m 3 /d; the P6 well is divided into 3 layers, and the layers are combined into [ S1, S2 ]]、[S3]、[S4]The injection and production allocation of each layer section is 15 m respectively 3 /d、33 m 3 /d、25m 3 /d; INJ1 well is divided into 3 intervals, the combination of intervals is [ S1, S2 ]]、[S3]、[S4]The injection and production allocation of each layer section is 78 m respectively 3 /d、20 m 3 /d、57m 3 /d; INJ2 well is divided into 3 intervals, the combination of intervals is [ S1, S2 ]]、[S3]、[S4]The injection and production allocation of each layer section is respectively 60m 3 /d、40 m 3 /d、65m 3 /d；
Table 4 comprehensive adjustment scheme for optimized layered injection and production interval combination and interval injection and production allocation
And putting the schemes before and after the optimization into an oil reservoir numerical simulator eclipse to obtain development indexes shown in table 5 and residual oil saturation distribution diagrams before and after the optimization shown in fig. 5.
Table 5 shows the comparison of development indexes before and after optimization
By using the method, the block is subjected to comprehensive adjustment optimization design of the layered injection and production of the oil reservoir in the ultra-high water-cut period, compared with the scheme designed according to the oil field experience method, the adjustment scheme designed by the oil field experience method can be found to have a certain oil increasing effect, but the comprehensive adjustment scheme obtained by optimization by using the method provided by the invention can further improve the development effect, achieves the purpose of oil reservoir oil increasing and water reducing, simultaneously solves the blindness of the field injection and production scheme design of the oil field, improves the measure success rate, is convenient and efficient to apply, and has important guiding significance for the layer section combination and layer section injection and production allocation comprehensive adjustment scheme design of the field layered injection and production.
It is obvious that the specific implementation of the present invention is not limited by the above manner, and it is within the scope of the present invention to apply the inventive concept and technical scheme directly to other occasions as long as various insubstantial improvements made by the inventive method concept and technical scheme are adopted.
Claims (10)
1. The method for integrating and optimizing the layer section combination and the layer section injection allocation and production allocation is characterized by comprising the following steps:
step 1, collecting and counting geology and development data of a current oil reservoir block, and determining the total number of layer section divisions, the number of layered water injection wells, the number of layered oil production wells and the number of non-segmented wells of each segmented well;
step 2, carrying out layer section combination of layered injection and production allocation and integrated optimization preparation work of layer section injection and production allocation, and setting layer section combination of layered injection and production allocation and integrated optimization parameters of layer section injection and production allocation;
step 3, constructing a layered injection and production interval combination and interval injection and production allocation integrated optimization mathematical model;
and 4, optimizing and solving the layered injection and production interval combination and interval injection and production allocation integrated optimization mathematical model by adopting a global local random search algorithm, and determining an optimal comprehensive adjustment scheme of the layered injection and production interval combination and interval injection and production allocation.
2. The method for optimizing the combination of layered injection and production intervals and the injection and production allocation integration of the intervals according to claim 1, wherein the geological and development data materials in the step 1 comprise: reservoir geological data and dynamic development data;
the reservoir geological data includes: the number of geologic strata of the oil reservoir, the permeability distribution of each geologic strata, the porosity distribution of each geologic strata, the sand thickness distribution of each geologic strata, the net-wool ratio distribution of each geologic strata, the crude oil density and the crude oil volume coefficient of the stratum;
the dynamic development data comprises: the method comprises the steps of oil saturation distribution of each geological small layer, stratum pressure distribution of each geological small layer, residual oil storage abundance distribution of each geological small layer, accumulated injected water quantity of each layered water injection layer section, accumulated oil production of each layered oil extraction layer section, water content curve of an oil reservoir block, accumulated oil production curve of the oil reservoir block, water content curve of each single well, daily oil production curve of each single well, total injected water injection quantity of a water injection well and total liquid production of a production well.
3. The method for integrated optimization of separate injection and production interval combination and interval injection and production allocation according to claim 1, wherein the determining of the total number of interval divisions, the number of separate injection wells, the number of separate wells and the number of non-separate wells in step 1 comprises: according to the historical production data of the injection well and the production well, the number of the segmented water injection wells, the total number of layer section divisions of the segmented water injection wells, the number of the segmented oil production wells, the total number of layer section divisions of the segmented oil production wells, the number of wells without segmented wells and the number of wells without segmented wells are further determined.
4. The method for optimizing the combination of the layered injection and production intervals and the integrated production allocation of the intervals according to claim 1, wherein the setting of the optimization parameters of the combination of the layered injection and production intervals and the integrated production allocation of the intervals in the step 2 comprises the following steps:
determining optimization variables, the optimization variables comprising: the method comprises the steps of measuring parameters of the sectional positions of the segmented wells, parameters of the interval injection allocation and production allocation of the segmented wells and parameters of the plane total liquid volume of the non-segmented wells;
specifying constraint conditions, wherein the constraint conditions comprise upper and lower limit constraint of single well liquid amount of an unsegmented well, total injection allocation and production allocation constraint of each layer section of a segmented well, packer measure constraint of the segmented well, total liquid yield constraint of an oil reservoir model and total injection constraint;
generating an initial iteration step lower layered injection and production interval combination and an interval injection and production allocation comprehensive adjustment scheme;
and giving related parameters of the global local random search algorithm, including population number, maximum iteration number and termination condition.
5. The method for optimizing the combination of separate injection and production intervals and the integrated production allocation and allocation of the intervals according to claim 4, wherein setting the parameters for optimizing the combination of separate injection and production intervals and the integrated production allocation and allocation of the intervals after step 2 comprises the following steps: judging whether the comprehensive adjustment scheme of the injection and production allocation of the formation layered injection and production intervals in the step 2 is executed or not; if the method is executed, taking the input scheme as an initial scheme; if not, a plurality of layered injection production interval combinations and interval injection production allocation comprehensive adjustment schemes consisting of the interval injection production allocation parameters of each segmented well, the interval injection production allocation parameters of each segmented well and the plane total liquid amount parameters of each non-segmented well are randomly generated according to constraint condition setting in the step 2.
6. The method for optimizing the combination of the layered injection and production intervals and the integrated production allocation and allocation of the intervals according to claim 1, wherein the mathematical model for optimizing the combination of the layered injection and production intervals and the integrated production allocation and allocation of the intervals in the step 3 comprises an objective function, the combination of the layered injection and production intervals, comprehensive adjustment parameters of the production allocation and allocation of the intervals and constraint conditions;
the objective function is the maximum accumulated oil yield and the minimum comprehensive water content;
the layered injection and production interval combination and interval injection and production allocation comprehensive adjustment parameters are segment position measure parameters of each segmented well, interval injection and production allocation parameters of each segmented well and plane total liquid volume parameters of each non-segmented well;
the constraint conditions include: the method comprises the following steps of single well liquid amount upper and lower limit constraint of an unsegmented well, total injection allocation and production allocation constraint of each layer section of a segmented well, packer measure constraint of the segmented well, total liquid amount constraint of an oil reservoir model and total injection amount constraint.
7. The method for integrating and optimizing the combination of layered injection and production intervals and the injection and production allocation of the intervals according to claim 6, wherein in the step 3,
the steps of optimizing and modeling the segment position measure parameters of each segmented well are as follows: optimizing the segment position of the segmented well, wherein the optimizing variable is a segment position measure parameter of the segmented well:
，
wherein c zu C) characterizing whether a run-in packer is taken between the (u) th interval and the (u+1) th interval of the z-th segmented well zu =1 represents the values between the u-th layer segment and the (u+1) -th layer segmentA packer is put in, c zu =0 represents that no packer is put between the u-th interval and the (u+1) -th interval, and k is the number of geological intervals; s is the number of segmented water injection wells; d is the number of wells of the segmented oil production well;
the method for optimizing and modeling the interval injection allocation and production allocation parameters of the segmented well comprises the following steps: optimizing the liquid amount of each layer section of the segmented well, wherein the optimization variable is the layer section injection allocation and production allocation parameter of the segmented well:
，
wherein,characterizing the injection allocation quantity of an h layer section of the first mouth section water injection well; />Characterizing the fluid production allocation of the v-th interval of the g-th section of the section production well, wherein s is the number of the sections of the water injection well; d is the number of wells of the segmented oil production well;
the method for optimizing and modeling the plane general injection allocation and production allocation parameters of the unsegmented well comprises the following steps:
，
wherein,representing the general injection quantity of an i-th unsegmented water injection well; />Characterizing the total liquid production amount of the j-th unsegmented oil production well; n is the number of water injection wells which are not segmented; m is the number of wells of the oil production well which are not segmented;
the upper and lower limit constraints of the single well liquid amount of the unsegmented well are as follows:
，
wherein,and->Representing the minimum injection liquid amount and the maximum injection liquid amount of a single well of an ith unsegmented water injection well respectively; />Andrepresenting the minimum and maximum liquid production amount of a single well of the j-th unsegmented oil production well respectively;
the total injection allocation and production allocation constraint of the interval of the segmented well is as follows:
，
wherein r is the total number of the section intervals of the first section water injection well; e is the total number of the section intervals of the g-th section oil production well;and->Representing the minimum injection liquid amount and the maximum injection liquid amount of a single well of the first segmented water injection well respectively; />And->The minimum and maximum liquid production amounts of a single well of the g-th subsection oil production well are respectively represented;
the total liquid yield constraint and the total injection constraint of the oil reservoir model are as follows:
，
wherein Q is inj 、Q pro The total injection amount and the total liquid yield of the oil reservoir model are respectively;
the packer measure constraints for a segmented well are:
，
wherein u is the number of packers corresponding to the segmented well intervals;
the expression of the layered injection and production interval combination and interval injection and production allocation integrated optimization mathematical model is as follows:
，
，
，
，
wherein FOPT is accumulated oil yield, and FWCT is comprehensive water content.
8. The method for optimizing the combination of layered injection and production intervals and the injection and production allocation integration of the intervals according to claim 1, wherein the step 4 comprises the following steps:
invoking an oil reservoir numerical simulator, and calculating accumulated oil yield and comprehensive water content of a plurality of layered injection and production interval combinations and interval injection and production allocation comprehensive adjustment schemes under the initial iteration step;
comparing the accumulated oil yield and the comprehensive water content of the multiple layered injection and production interval combinations and interval injection and production allocation comprehensive adjustment schemes under the initial iteration step, and determining the optimal layered injection and production interval combinations and interval injection and production allocation comprehensive adjustment schemes by taking the maximization of the accumulated oil yield and the minimization of the comprehensive water content as optimization targets;
generating a plurality of layered injection-production interval combinations and interval injection allocation and production allocation comprehensive adjustment schemes under a new iteration step through a child generation strategy in a global local random search algorithm;
calling an oil reservoir numerical simulator, and calculating the accumulated oil yield and the comprehensive water content of each layered injection-production interval combination and interval injection allocation and production allocation comprehensive adjustment scheme under a new iteration step;
comparing the accumulated oil yield and the comprehensive water content of each layered injection and production-allocation comprehensive adjustment scheme under a new iteration step with the accumulated oil yield and the comprehensive water content of the optimal layered injection and production-allocation comprehensive adjustment scheme, and taking the layered injection and production-allocation comprehensive adjustment scheme as the new optimal layered injection and production-allocation comprehensive adjustment scheme if the accumulated oil yield of the layered injection and production-allocation comprehensive adjustment scheme is higher than the accumulated oil yield of the optimal layered injection and production-allocation comprehensive adjustment scheme, and the comprehensive water content of the layered injection and production-allocation comprehensive adjustment scheme is lower than the comprehensive water content of the optimal layered injection and production-allocation comprehensive adjustment scheme; and (3) when the iteration is performed in the loop and the maximum iteration times are reached, outputting an optimal layered injection and production interval combination and an interval injection and production allocation comprehensive adjustment scheme.
9. The method for integrating and optimizing the combination of layered injection and production intervals and the injection and production allocation of the intervals according to claim 8, wherein the reservoir numerical simulator comprises tNavigator, eclipse, cmg;
the plurality of the layered injection and production interval combinations and the plurality of layered injection and production allocation comprehensive adjustment schemes are generated in each iteration step, and the total number of the layered injection and production interval combinations and the layered injection and production allocation comprehensive adjustment schemes meets the population number value set in the step 2;
in the process of executing the optimization iteration of the step 4, judging whether the layered injection-production interval combination and interval injection allocation and production allocation comprehensive adjustment scheme generated in the new iteration step meet constraint conditions or not, and if not, turning to the step 3 for regeneration;
in the process of executing the optimization iteration of the step 4, whether the global random search algorithm reaches the maximum iteration number set in the step 2 is needed to be judged, if the global random search algorithm reaches the maximum iteration number, the optimization is ended, otherwise, the step 4 is returned to regenerate the layered injection and production interval combination and interval injection allocation and production allocation comprehensive adjustment scheme under the new iteration step, and the optimization is ended until the maximum iteration number is reached.
10. The layered injection and production interval combination and interval injection and production allocation integrated optimization method according to claim 4 or 8, wherein the global local random search algorithm comprises a cat swarm algorithm, a grid self-adaptive search algorithm and a dung beetle optimization algorithm.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410190114.0A CN117744897B (en) | 2024-02-21 | 2024-02-21 | Layered injection and production interval combination and interval injection and production allocation integrated optimization method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410190114.0A CN117744897B (en) | 2024-02-21 | 2024-02-21 | Layered injection and production interval combination and interval injection and production allocation integrated optimization method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117744897A true CN117744897A (en) | 2024-03-22 |
| CN117744897B CN117744897B (en) | 2024-05-10 |
Family
ID=90277798
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410190114.0A Active CN117744897B (en) | 2024-02-21 | 2024-02-21 | Layered injection and production interval combination and interval injection and production allocation integrated optimization method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117744897B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103790558A (en) * | 2012-11-02 | 2014-05-14 | 中国石油化工股份有限公司 | Layered water injection production linkage coupling method |
| US20160376885A1 (en) * | 2015-06-23 | 2016-12-29 | Petrochina Company Limited | Method and Apparatus for Performance Prediction of Multi-Layered Oil Reservoirs |
| CN106499370A (en) * | 2016-08-22 | 2017-03-15 | 中国石油天然气股份有限公司 | Method and device for calculating liquid production amount of each interval of layered oil production well for synchronous separate injection and separate production of well groups |
| US20200392842A1 (en) * | 2019-06-14 | 2020-12-17 | China University Of Petroleum (East China) | Method for determining vertical well stratified fracturing crack lengths based on interlayer equilibrium displacement |
| CN113153260A (en) * | 2021-05-20 | 2021-07-23 | 大庆油田有限责任公司 | Generalized apparent water absorption index calculation method suitable for general and sub-injection wells |
| CN117291125A (en) * | 2023-11-24 | 2023-12-26 | 中国石油大学(华东) | Comprehensive adjustment optimization method and system for water-flooding well pattern and perforation interval |
-
2024
- 2024-02-21 CN CN202410190114.0A patent/CN117744897B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103790558A (en) * | 2012-11-02 | 2014-05-14 | 中国石油化工股份有限公司 | Layered water injection production linkage coupling method |
| US20160376885A1 (en) * | 2015-06-23 | 2016-12-29 | Petrochina Company Limited | Method and Apparatus for Performance Prediction of Multi-Layered Oil Reservoirs |
| CN106499370A (en) * | 2016-08-22 | 2017-03-15 | 中国石油天然气股份有限公司 | Method and device for calculating liquid production amount of each interval of layered oil production well for synchronous separate injection and separate production of well groups |
| US20200392842A1 (en) * | 2019-06-14 | 2020-12-17 | China University Of Petroleum (East China) | Method for determining vertical well stratified fracturing crack lengths based on interlayer equilibrium displacement |
| CN113153260A (en) * | 2021-05-20 | 2021-07-23 | 大庆油田有限责任公司 | Generalized apparent water absorption index calculation method suitable for general and sub-injection wells |
| CN117291125A (en) * | 2023-11-24 | 2023-12-26 | 中国石油大学(华东) | Comprehensive adjustment optimization method and system for water-flooding well pattern and perforation interval |
Non-Patent Citations (1)
| Title |
|---|
| 贾德利;刘合;张吉群;龚斌;裴晓含;王全宾;杨清海;: "大数据驱动下的老油田精细注水优化方法", 石油勘探与开发, no. 03 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117744897B (en) | 2024-05-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103745022B (en) | Postpolymer flood unsteady flow line method of adjustment | |
| CN110439515B (en) | Injection-production parameter optimization method and device | |
| CN104615862A (en) | Method for determining well position of high-water-content oil field based on evolutionary algorithm | |
| CN110941890B (en) | Offshore oil reservoir dynamic real-time production optimization method based on optimal control theory | |
| CN109958413B (en) | Dynamic flow unit dividing method for oil reservoir in ultrahigh water cut period | |
| CN106150477A (en) | A kind of method determining single well controlled reserves | |
| CN108197366A (en) | Consider that injection water quality adopts parameter optimization method to the note of reservoir damage | |
| CN103967458A (en) | Sand prevention section water drive method | |
| CN110984974B (en) | Method for determining reasonable gas production speed of water-gas reservoir based on water invasion speed | |
| CN117744897B (en) | Layered injection and production interval combination and interval injection and production allocation integrated optimization method | |
| CN117291125B (en) | Comprehensive adjustment optimization method and system for water-flooding well pattern and perforation interval | |
| CN111749688B (en) | Method for predicting development position and direction of dominant seepage channel | |
| CN114429085A (en) | Method and system for analyzing fluid potential of fracture-cavity type oil reservoir | |
| CN205532554U (en) | Anti-seven and anti-four point combined encrypted well pattern structure of high water-cut oil reservoir | |
| CN111622733A (en) | Method for deploying encrypted well in dense gas reservoir area | |
| CN104747154B (en) | Method for improving research precision of steam flooding residual oil by utilizing oil displacement efficiency ratio | |
| CN106600693A (en) | Four-dimensional oil saturation geological modeling method | |
| CN111075413A (en) | Method for quickly calculating density of water-drive oilfield technical reasonable well pattern | |
| CN111680814B (en) | Elastic-driving reasonable production allocation optimization method for fractured-vuggy carbonate reservoir | |
| CN113653474B (en) | Method for realizing green development of high-water-content old oil field | |
| CN116384166B (en) | Gas reservoir gas injection extraction and collaborative database establishment optimization method, system, equipment and medium | |
| CN118228614B (en) | Multi-agent model-based intelligent extraction method for fractured gas reservoir | |
| CN116066066B (en) | Method for screening nitrogen throughput measure well | |
| CN112001132A (en) | Rigid water-drive reservoir residual oil distribution condition determining method and oil extraction method | |
| Feng | Feasibility study on reservoir layered injection in Sabei Development Zone |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |