CN109146185A - A kind of flooding pattern differentiation water drive optimizes and revises method - Google Patents
A kind of flooding pattern differentiation water drive optimizes and revises method Download PDFInfo
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Abstract
The present invention relates to a kind of flooding pattern differentiation water drives to optimize and revise method, comprising the following steps: step 1) calculates water drive degree;Step 2) calculates strength of water drive;Step 3) calculates each well rationally optimal liquid measure;Step 4) optimizes improvement and design to interwell permeability parameter in reservoir layer;Step 5) optimizes improvement and design to interlayer reservoir permeability parameter around pit shaft.The present invention passes through the processes such as interwell permeability parameter optimization improvement and design, pit shaft interlayer reservoir permeability parameter optimization improvement and design in the rationally optimal liquid measure calculating of the calculating of water drive degree, the calculating of strength of water drive, each mouth well, reservoir layer, it realizes the liquid measure optimization of flooding pattern and guarantees the quantization suggestion of the reservoir pit shaft longitudinal direction of liquid measure reasonable distribution between liquid measure optimum results interlayer, well, the transformation of reservoir interwell permeability parameter, realize cost efficiency with very useful engineering application value for improving recovery ratio by hydrodynamics method.
Description
Technical field
The invention belongs to technical field of petroleum extraction, and in particular to a kind of flooding pattern differentiation water drive side of optimizing and revising
Method.
Background technique
The country of China either east oilfields or western oil field at present, since the development time is relatively long, most oil fields
High water-cut stage has been stepped into, " three high and one low " development features of typical " High water cut, high liquid measure, high cost, low yield " are shown,
The slump of international oil price and lasting low level tendency are even more to make the matter worse for the production in oil field.In face of low oil price, High water cut it is tired
How border reduces cost, existing old well is made full use of to drop this increasing as each oil field by flow fields reconstruction improvement Development Response of Oilfield
Effect, the primary project of Faced In Sustainable Development.
Oil field is after high water-cut stage under normal circumstances, when technical staff carries out the design of flow field Adjusted Option, main base area
Matter feature, remaining oil distribution, the factors such as boundary shape, Well Pattern And Spacing, the note Discharge rate carried out in well pattern form design basis
Design, mainly angularly from the non-master streamline of main stream line, according to the practical injectivity and productivity in oil field, reservoir engineering empirical method and some optimal
Change the optimization design that algorithm carries out note Discharge rate, such method note Discharge rate differentiation difficult to realize directly against more well multilayers
Design.It can be seen that determining the reasonable liquid measure of injection-production well and direction and the quantizating index of reservoir reconstruction, this is right on the basis of well net optimization
Improving recovery efficiency technique using the hydrodynamics method of low cost in oil field has very important engineering application value.
Summary of the invention
The purpose of the present invention is to provide a kind of flooding pattern differentiation water drives to optimize and revise method, to solve existing liquid measure
Optimization method is difficult to realize infuse the defect of Discharge rate differentiation design directly against more well multilayers.
In order to achieve the above-mentioned object of the invention, technical solution provided by the invention is as follows:
A kind of flooding pattern differentiation water drive optimizes and revises method, comprising the following steps: step 1) calculates water drive degree;Step
It is rapid 2) to calculate strength of water drive;Step 3) calculates each well rationally optimal liquid measure;Step 4) to interwell permeability parameter in reservoir layer into
The design of row Optimizing Reconstruction;Step 5) optimizes improvement and design to interlayer reservoir permeability parameter around pit shaft.
Further, the step 1) includes:
Definition water drive degree SQCD is water phase relative permeability krwCorresponding water phase is opposite when with moisture content being 98% permeates
Rate krw98Ratio:
On the basis of numerical simulation remaining oil saturation, in conjunction with phase percolation curve, the water drive degree of each grid is calculated, is passed through
Line between well calculates the i-th mouthful of degree of water drive between producing well and water injection well SQCD of kth layerik;
Calculate kth layer water drive degree maximum value SQCDkmaxWith water drive degree minimum value SQCDkmin;
SQCDkmax=max (SQCD1k,SQCD2k,…,SQCDik);
SQCDkmin=min (SQCD1k,SQCD2k,…,SQCDik);
Calculate water drive degree maximum value SQCDmaxWith water drive degree minimum value SQCDmin;
Calculate water drive degree maximum value: SQCDmax=max (SQCD1max,SQCD2max,…,SQCDkmax);
Calculate water drive degree minimum value: SQCDmin=max (SQCD1min,SQCD2min,…,SQCDkmin)。
Further, the step 2) includes:
Define the liquid phase percolation flow velocity that strength of water drive SQQD is different location when reservoir condition under certain flooding pattern;
On the basis of numerical simulation, using pressure field, reservoir properties, remaining oil saturation, phase percolation curve, each net is calculated
The strength of water drive of lattice calculates i-th mouthful of strength of water drive SQQD between producing well and water injection well of kth layer by line between wellik;
Calculate the practical liquid measure q of i-th mouthful of well of kth layerik0Distribution:
Wherein: qi0For the practical liquid measure of i-th mouthful of well, hikFor the thickness of i-th mouthful of well kth layer, K represents total layer that well is penetrated out
Number.
Further, the step 3) includes:
Calculate the liquid measure correction factor x of i-th mouthful of producing well of kth layerik:
Calculate the total correction factor of kth layer:
Calculate the total liquid measure of kth layer original:
Calculate i-th mouthful of well liquid amount correction result of kth layer:
Calculate i-th mouthful of well liquid amount optimum results:
The total liquid measure of calculation block:
The original total liquid measure of block:
The then liquid measure optimum results of i-th mouthful of well are as follows:
Further, in the step 4),
For stratified reservoir, liquid measure after the optimization of each mouth well directly carry out closing layer note adopt when, if single layer liquid measure reaches not
To the numerical value of optimization, then just needing that reservoir implementing measure is transformed, for the liquid measure of stratified reservoir (L layers shared), kth is calculated
I-th mouthful of oil well of layer optimizes later liquid measure distribution coefficient are as follows:
Change each layer interwell permeability size, by the permeability k of i-th mouthful of producing well of kth layerki0It is adjusted, uses kkiReplacement
K originallyki0, in which:
kki=kki0·yik。
Further, in the step 5), Liquid output q before liquid measure adjusts between i-th mouthful of injection-production well of kth layerik0, after adjustment
Obtained liquid measure qik, the distribution of the liquid measure again q of i-th mouthful of welli-New;
Well point kth layer original mobilityAfter adjustmentWherein, μwRepresent the viscous of water
Degree, μoRepresent the viscosity of oil, krw0Represent the relative permeability of water phase, kro0Represent the relative permeability of oily phase;Well infiltration of ambient
Rate regulation coefficient Chgik:
Wherein: J is the sum of the corresponding oil well of i-th mouthful of well kth layer or well.
The present invention is difficult to realize infuse the design of Discharge rate differentiation directly against more well multilayers for current liquid measure optimization method
Problem the comprehensive utilization of existing old well is economically based oneself upon, technically towards injection-production well based on reservoir numerical simulation result
The optimization of liquid measure is deployed, and using strength of water drive, water drive degree as basic fundamental parameter, provides a kind of flooding pattern differentiation water drive
It optimizes and revises method, and in terms of plane between injection-production well to individual well pit shaft longitudinal direction interlayer two, carries out reservoir reconstruction design, guarantee
Realize that there is stronger practicability in the flow field of liquid measure optimum results;The present invention utilizes reservoir on the basis of reservoir numerical simulation
Physical property, remaining oil saturation, phase percolation curve etc. are as a result, reasonable by the calculating of water drive degree, the calculating of strength of water drive, each mouth well
Optimal liquid measure calculates, interwell permeability parameter optimization improvement and design, pit shaft interlayer reservoir permeability parameter optimization change in reservoir layer
The processes such as design are made, the liquid measure optimization of flooding pattern is realized and guarantee that liquid measure is rationally divided between liquid measure optimum results interlayer, well
The quantization suggestion that the reservoir pit shaft matched is longitudinal, reservoir interwell permeability parameter is transformed, the present invention is for passing through hydrodynamics method
It improves recovery ratio and realizes that cost efficiency has very useful engineering application value, the need of practical application can be met well
It wants.
Detailed description of the invention
Fig. 1 is the flow chart that flooding pattern differentiation water drive of the invention optimizes and revises method;
Fig. 2 is G6 fault block E1f3 1-2-1Water drive degree figure;
Fig. 3 is G6 fault block E1f3 1-4-2Water drive degree figure;
Fig. 4 is G6 fault block E1f3 2-3-1Water drive degree figure;
Fig. 5 is G6 fault block E1f3 1-2-1Strength of water drive figure;
Fig. 6 is G6 fault block E1f3 1-4-2Strength of water drive figure;
Fig. 7 is G6 fault block E1f3 2-3-1Strength of water drive figure.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawing and specific implementation
The present invention will be further described for example.It should be appreciated that described herein, specific examples are only used to explain the present invention, and does not have to
It is of the invention in limiting.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creative work premise
Under every other embodiment obtained, shall fall within the protection scope of the present invention.
As shown in Figure 1, a kind of flooding pattern differentiation water drive optimizes and revises method, comprising the following steps:
Step 1) is according to reservoir numerical simulation as a result, calculating water drive degree;It specifically includes:
1. defining water drive degree SQCD is water phase relative permeability krwCorresponding water phase is opposite when with moisture content being 98% seeps
Saturating rate krw98Ratio:
2., in conjunction with phase percolation curve, calculating the water drive degree of each grid on the basis of numerical simulation remaining oil saturation, lead to
Line between well is crossed, the i-th mouthful of degree of water drive between producing well and water injection well SQCD of kth layer is calculatedik;Wherein k and i is positive integer;
3. calculating kth layer water drive degree maximum value SQCDkmaxWith water drive degree minimum value SQCDkmin;
SQCDkmax=max (SQCD1k,SQCD2k,…,SQCDik)
SQCDkmin=min (SQCD1k,SQCD2k,…,SQCDik)
4. calculating water drive degree maximum value SQCDmaxWith water drive degree minimum value SQCDmin
Calculate water drive degree maximum value: SQCDmax=max (SQCD1max,SQCD2max,…,SQCDkmax)
Calculate water drive degree minimum value: SQCDmin=max (SQCD1min,SQCD2min,…,SQCDkmin)
Calculate G6 fault block E1f3Water drive degree result is as shown in Figure 2 to 4.
Step 2) is according to reservoir numerical simulation as a result, calculating strength of water drive;It specifically includes:
1. defining the liquid phase percolation flow velocity that strength of water drive SQQD is different location when reservoir condition under certain flooding pattern;
2., using pressure field, reservoir properties, remaining oil saturation, phase percolation curve, being calculated each on the basis of numerical simulation
The strength of water drive of grid calculates i-th mouthful of strength of water drive SQQD between producing well and water injection well of kth layer by line between wellik;
3. calculating the practical liquid measure q of i-th mouthful of well of kth layerik0Distribution:
Wherein: qi0For the practical liquid measure of i-th mouthful of well, hikFor the thickness of i-th mouthful of well kth layer, K represents total layer that well is penetrated out
Number.qi0And qik0Conventional unit title be m3/ d, hikThe entitled m of conventional unit.
Calculate G6 fault block E1f3Strength of water drive result is as shown in Fig. 5~Fig. 7.
Step 3) calculates each well rationally optimal liquid measure;
Specifically, it is analyzed from water drive degree and strength of water drive size, under reasonable optimal liquid measure, water drive degree minimum value
Strength of water drive maximum value should be corresponded to, and water drive degree maximum value should correspond to strength of water drive minimum value, thus:
1. calculating the liquid measure correction factor x of i-th mouthful of producing well of kth layerik:
2. calculating the total correction factor of kth layer:
3. calculating the total liquid measure of kth layer original:
4. calculating i-th mouthful of well liquid amount correction result of kth layer:
5. calculating i-th mouthful of well liquid amount optimum results:
The total liquid measure of calculation block:
The original total liquid measure of block:
The then liquid measure optimum results of i-th mouthful of well are as follows:
According to each substratum well pattern injection-production relation, centered on oil well, to adjust water injection well liquid measure as standard, liquid is adopted according to note
Amount is than 1:1, water injection well, producing well liquid measure standard 1.5m3/ d.m carries out liquid measure optimization, utilizes the liquid measure optimization method of foundation, meter
Each mouth water injection well liquid measure optimization front and back daily fluid production rate result is calculated as shown in table 1, table 2.
q0k、qik、qi、Q、Q0、qi-NewConventional unit title be m3/d。
1 well daily water-injection rate optimum results table of table
2 oil well daily fluid production rate optimum results table of table
Step 4) optimizes improvement and design to interwell permeability parameter in reservoir layer;
For stratified reservoir, liquid measure after the optimization of each mouth well directly carry out closing layer note adopt when, if single layer liquid measure reaches not
To the numerical value of optimization, then just needing that reservoir implementing measure is transformed, for the liquid measure of stratified reservoir (L layers shared), kth is calculated
I-th mouthful of oil well of layer optimizes later liquid measure distribution coefficient are as follows:
Change each layer interwell permeability size, to the permeability k of i-th mouthful of producing well of kth layerki0It is adjusted, uses kkiReplacement
K originallyki0, in which:
kki=kki0·yik。
kki0And kkiConventional unit title be mD.
In liquid measure adjusting and optimizing, it is contemplated that each mouth water injection well, oil well are not single layer exploitation, the adjustment of individual liquid measure for
The re-optimization in flow field may act on less or even effect is deteriorated, and needs that reservoir reconstruction is cooperated just to be able to achieve preferably optimization effect
Fruit, the reservoir reconstruction method established thus using the present invention, the transformation for carrying out each center oil well and surrounding well are calculated.
It is as shown in table 3 for injection-production well interbed inner plane reservoir properties adjustment calculated result.
Improvement and design table in 3 reservoir well interbed of table
Step 5) optimizes improvement and design to interlayer reservoir permeability parameter around pit shaft;
Well is optimized for liquid measure, each substratum liquid measure will certainly be caused uneven after the optimization of each substratum inner plane, is needed pair
Each substratum carries out reservoir reconstruction around pit shaft, to meet each layer liquid measure design requirement.
Liquid output q before liquid measure adjusts between i-th mouthful of injection-production well of kth layerik0, the liquid measure q that is obtained after adjustmentik, the weight of i-th mouthful of well
New liquid measure distributes qi-New;
Well point kth layer original mobilityIt is after adjustmentWherein, μwRepresent the viscous of water
Degree, μoRepresent the viscosity of oil, krw0Represent the relative permeability of water phase, kro0Represent the relative permeability of oily phase;Before well point
AfterwardsIt is identical, so longitudinally adjusted predominantly well infiltration of ambient rate size, well infiltration of ambient rate regulation coefficient
Chgik:
Wherein: J is the sum of the corresponding well (water injection well or oil well) of i-th mouthful of well kth layer.
μwAnd μoConventional unit title be mPas.
In liquid measure adjusting and optimizing, it is contemplated that each mouth water injection well is not single layer waterflooding extraction, the adjustment of individual liquid measure for
The re-optimization in flow field may act on less or even effect is deteriorated, and needs that reservoir reconstruction is cooperated just to be able to achieve preferably optimization effect
Fruit, the reservoir reconstruction method established thus using the present invention, the transformation for carrying out each surrounding well are calculated, water injection well interlayer are stored up
Layer physical property adjustment calculated result is as shown in the table, considers permeability variation situation, it is proposed that well of the permeability variation 30% or more
It being handled, interlayer permeability regulation coefficient needs to carry out well surrounding formation dredging greater than the 1 expression well layer around pit shaft, and
Expression well layer needs less than 1 are suitably blocked.Specifically it is shown in Table shown in 4, table 5, table 6.
4 pit shaft interlayer card of table seals measures to reform and designs table
5 pit shaft interlayer profile control close measure improvement and design table of table
6 pit shaft interlayer of table acidification dredging measures to reform designs table
The present invention on the basis of reservoir numerical simulation, using reservoir properties, remaining oil saturation, phase percolation curve etc. as a result,
By the calculating of water drive degree, the calculating of strength of water drive, each mouth well, rationally optimal liquid measure is calculated, interwell permeability is joined in reservoir layer
The processes such as number Optimizing Reconstruction design, pit shaft interlayer reservoir permeability parameter optimization improvement and design, realize the liquid measure of flooding pattern
The reservoir pit shaft longitudinal direction of liquid measure reasonable distribution, reservoir interwell permeability ginseng between optimization and guarantee liquid measure optimum results interlayer, well
The quantization suggestion of number transformation, the invention are very useful for realizing that cost efficiency has by hydrodynamics method raising recovery ratio
Engineering application value.
Embodiments of the present invention above described embodiment only expresses, the description thereof is more specific and detailed, but can not
Therefore limitations on the scope of the patent of the present invention are interpreted as.It should be pointed out that for those of ordinary skill in the art,
Without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to protection model of the invention
It encloses.Therefore, the scope of protection of the patent of the invention shall be subject to the appended claims.
Claims (6)
1. a kind of flooding pattern differentiation water drive optimizes and revises method, which comprises the following steps: step 1) calculates water
Drive degree;Step 2) calculates strength of water drive;Step 3) calculates each well rationally optimal liquid measure;Step 4) in reservoir layer well between permeating
Rate parameter optimizes improvement and design;Step 5) optimizes improvement and design to interlayer reservoir permeability parameter around pit shaft.
2. flooding pattern differentiation water drive optimization method according to claim 1, which is characterized in that the step 1 includes:
Definition water drive degree SQCD is water phase relative permeability krwCorresponding water phase relative permeability when with moisture content being 98%
krw98Ratio:
On the basis of numerical simulation remaining oil saturation, in conjunction with phase percolation curve, the water drive degree of each grid is calculated, by between well
Line calculates the i-th mouthful of degree of water drive between producing well and water injection well SQCD of kth layerik;
Calculate kth layer water drive degree maximum value SQCDkmaxWith water drive degree minimum value SQCDkmin;
SQCDkmax=max (SQCD1k,SQCD2k,…,SQCDik);
SQCDkmin=min (SQCD1k,SQCD2k,…,SQCDik);
Calculate water drive degree maximum value SQCDmaxWith water drive degree minimum value SQCDmin;
Calculate water drive degree maximum value: SQCDmax=max (SQCD1max,SQCD2max,…,SQCDkmax);
Calculate water drive degree minimum value: SQCDmin=max (SQCD1min,SQCD2min,…,SQCDkmin)。
3. flooding pattern differentiation water drive according to claim 1 to 2 optimizes and revises method, which is characterized in that the step
2 include:
Define the liquid phase percolation flow velocity that strength of water drive SQQD is different location when reservoir condition under certain flooding pattern;
On the basis of numerical simulation, using pressure field, reservoir properties, remaining oil saturation, phase percolation curve, each grid is calculated
Strength of water drive calculates i-th mouthful of strength of water drive SQQD between producing well and water injection well of kth layer by line between wellik;
Calculate the practical liquid measure q of i-th mouthful of well of kth layerik0Distribution:
Wherein: qi0For the practical liquid measure of i-th mouthful of well, hikFor the thickness of i-th mouthful of well kth layer.
4. flooding pattern differentiation water drive according to claim 1 to 3 optimizes and revises method, which is characterized in that the step
3 include:
Calculate the liquid measure correction factor x of i-th mouthful of producing well of kth layerik:
Calculate the total correction factor of kth layer:
Calculate the total liquid measure of kth layer original:
Calculate i-th mouthful of well liquid amount correction result of kth layer:
Calculate i-th mouthful of well liquid amount optimum results:
The total liquid measure of calculation block:
The original total liquid measure of block:
The then liquid measure optimum results of i-th mouthful of well are as follows:
5. flooding pattern differentiation water drive described in -4 optimizes and revises method according to claim 1, which is characterized in that in the step
In rapid 4,
For stratified reservoir, liquid measure after the optimization of each mouth well directly carry out closing layer infuse adopt when, if single layer liquid measure be not achieved it is excellent
The numerical value of change, then just need that reservoir implementing measure is transformed, for the liquid measure of stratified reservoir (shared L layer), calculating kth layer the
I mouthfuls of oil wells optimize later liquid measure distribution coefficient are as follows:
Change each layer interwell permeability size, by the permeability k of i-th mouthful of producing well of kth layerki0It is adjusted, uses kkiReplacement is original
Kki0, in which:
kki=kki0·yik。
6. flooding pattern differentiation water drive described in -5 optimizes and revises method according to claim 1, which is characterized in that in the step
In rapid 5, Liquid output q before liquid measure adjusts between i-th mouthful of injection-production well of kth layerik0, the liquid measure q that is obtained after adjustmentik, i-th mouthful of well is again
Liquid measure distributes qi-New;
Well point kth layer original mobilityAfter adjustmentWherein, μwRepresent the viscosity of water, μo
Represent the viscosity of oil, krw0Represent the relative permeability of water phase, kro0Represent the relative permeability of oily phase;The adjustment of well infiltration of ambient rate
Coefficient Chgik:
Wherein: J is the sum of the corresponding oil well of i-th mouthful of well kth layer or well.
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Cited By (4)
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---|---|---|---|---|
CN110485988A (en) * | 2019-08-19 | 2019-11-22 | 中国石油天然气股份有限公司大港油田分公司 | A kind of low permeability reservoir simulation grid refinement method and device |
CN111271032A (en) * | 2020-03-16 | 2020-06-12 | 常州大学 | Well pattern balanced injection-production and supporting guarantee method in high water-cut stage |
CN111911135A (en) * | 2020-07-21 | 2020-11-10 | 中国石油大学(华东) | Dynamic description method for high water consumption strip of water-drive reservoir |
CN112070269A (en) * | 2020-07-31 | 2020-12-11 | 中海油能源发展股份有限公司 | Injection-production balance adjustment method based on depth traversal |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102146788A (en) * | 2011-03-30 | 2011-08-10 | 中国石油化工股份有限公司 | Method for enhancing recovery ratio through three-dimensional streamline regulation of water drive reservoir |
CN104318052A (en) * | 2014-09-16 | 2015-01-28 | 中国石油大学(北京) | Low-permeability oil reservoir water flooding wave and coefficient evaluation method |
CN104989341A (en) * | 2015-06-24 | 2015-10-21 | 中国石油天然气股份有限公司 | Method for determining effective displacement injection-production well spacing of low-permeability oil reservoir |
CN105756654A (en) * | 2015-12-30 | 2016-07-13 | 中国石油大学(华东) | Water-drive reservoir well network optimization design method |
CN107829718A (en) * | 2017-02-10 | 2018-03-23 | 中国石油化工股份有限公司 | Oil reservoir well pattern and injection-production program Optimization Design based on balanced water drive theory |
-
2018
- 2018-08-29 CN CN201810995347.2A patent/CN109146185B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102146788A (en) * | 2011-03-30 | 2011-08-10 | 中国石油化工股份有限公司 | Method for enhancing recovery ratio through three-dimensional streamline regulation of water drive reservoir |
CN104318052A (en) * | 2014-09-16 | 2015-01-28 | 中国石油大学(北京) | Low-permeability oil reservoir water flooding wave and coefficient evaluation method |
CN104989341A (en) * | 2015-06-24 | 2015-10-21 | 中国石油天然气股份有限公司 | Method for determining effective displacement injection-production well spacing of low-permeability oil reservoir |
CN105756654A (en) * | 2015-12-30 | 2016-07-13 | 中国石油大学(华东) | Water-drive reservoir well network optimization design method |
CN107829718A (en) * | 2017-02-10 | 2018-03-23 | 中国石油化工股份有限公司 | Oil reservoir well pattern and injection-production program Optimization Design based on balanced water drive theory |
Non-Patent Citations (2)
Title |
---|
JIA HU 等: "《Water flooding flowing area identification for oil reservoirs based on the method of streamline clustering artificial intelligence》", 《PETROLEUM EXPLORATION AND DEVELOPMENT》 * |
樊建明 等: "《超低渗透油藏水平井注采井网设计优化研究》", 《西南石油大学学报(自然科学版)》 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110485988A (en) * | 2019-08-19 | 2019-11-22 | 中国石油天然气股份有限公司大港油田分公司 | A kind of low permeability reservoir simulation grid refinement method and device |
CN111271032A (en) * | 2020-03-16 | 2020-06-12 | 常州大学 | Well pattern balanced injection-production and supporting guarantee method in high water-cut stage |
CN111911135A (en) * | 2020-07-21 | 2020-11-10 | 中国石油大学(华东) | Dynamic description method for high water consumption strip of water-drive reservoir |
CN111911135B (en) * | 2020-07-21 | 2021-06-25 | 中国石油大学(华东) | Dynamic description method for high water consumption strip of water-drive reservoir |
CN112070269A (en) * | 2020-07-31 | 2020-12-11 | 中海油能源发展股份有限公司 | Injection-production balance adjustment method based on depth traversal |
CN112070269B (en) * | 2020-07-31 | 2024-05-14 | 中海油能源发展股份有限公司 | Injection and production balance adjustment method based on depth traversal |
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