CN117575432A - Evaluation method of water control type well repairing liquid for high-water-content oil well - Google Patents
Evaluation method of water control type well repairing liquid for high-water-content oil well Download PDFInfo
- Publication number
- CN117575432A CN117575432A CN202311645824.XA CN202311645824A CN117575432A CN 117575432 A CN117575432 A CN 117575432A CN 202311645824 A CN202311645824 A CN 202311645824A CN 117575432 A CN117575432 A CN 117575432A
- Authority
- CN
- China
- Prior art keywords
- well
- water
- water content
- index
- gradients
- 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
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 180
- 239000007788 liquid Substances 0.000 title claims abstract description 58
- 238000011156 evaluation Methods 0.000 title claims abstract description 50
- 239000003129 oil well Substances 0.000 title claims abstract description 30
- 238000010276 construction Methods 0.000 claims abstract description 24
- 230000000903 blocking effect Effects 0.000 claims abstract description 23
- 238000013210 evaluation model Methods 0.000 claims abstract description 7
- 230000000694 effects Effects 0.000 claims description 51
- 230000035699 permeability Effects 0.000 claims description 36
- 238000000034 method Methods 0.000 claims description 24
- 239000012530 fluid Substances 0.000 claims description 20
- 238000001556 precipitation Methods 0.000 claims description 18
- 230000008859 change Effects 0.000 claims description 15
- 238000004519 manufacturing process Methods 0.000 claims description 13
- 239000004576 sand Substances 0.000 claims description 12
- 238000012545 processing Methods 0.000 claims description 11
- 230000001186 cumulative effect Effects 0.000 claims description 9
- 238000005520 cutting process Methods 0.000 claims description 8
- 238000004458 analytical method Methods 0.000 claims description 7
- 238000010219 correlation analysis Methods 0.000 claims description 6
- 238000002347 injection Methods 0.000 claims description 4
- 239000007924 injection Substances 0.000 claims description 4
- 239000002131 composite material Substances 0.000 claims description 3
- 230000005484 gravity Effects 0.000 claims description 3
- 238000010606 normalization Methods 0.000 claims description 3
- 238000004088 simulation Methods 0.000 claims description 3
- 230000008439 repair process Effects 0.000 abstract description 3
- 239000002349 well water Substances 0.000 description 15
- 235000020681 well water Nutrition 0.000 description 14
- 239000003795 chemical substances by application Substances 0.000 description 7
- 238000013461 design Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 3
- 238000011161 development Methods 0.000 description 3
- 238000006073 displacement reaction Methods 0.000 description 3
- 230000000704 physical effect Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 239000000243 solution Substances 0.000 description 3
- 238000001179 sorption measurement Methods 0.000 description 3
- 241000237858 Gastropoda Species 0.000 description 2
- 238000009472 formulation Methods 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 238000003860 storage Methods 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 238000000556 factor analysis Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000004451 qualitative analysis Methods 0.000 description 1
- 238000004445 quantitative analysis Methods 0.000 description 1
- 238000011158 quantitative evaluation Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B33/00—Sealing or packing boreholes or wells
- E21B33/10—Sealing or packing boreholes or wells in the borehole
- E21B33/13—Methods or devices for cementing, for plugging holes, crevices or the like
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/067—Enterprise or organisation modelling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
-
- 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
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Theoretical Computer Science (AREA)
- Mining & Mineral Resources (AREA)
- General Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Tourism & Hospitality (AREA)
- Educational Administration (AREA)
- Operations Research (AREA)
- Geology (AREA)
- Game Theory and Decision Science (AREA)
- Development Economics (AREA)
- Quality & Reliability (AREA)
- Fluid Mechanics (AREA)
- Geochemistry & Mineralogy (AREA)
- Environmental & Geological Engineering (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Agronomy & Crop Science (AREA)
- Animal Husbandry (AREA)
- Marine Sciences & Fisheries (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an evaluation method of water control well repair liquid for a high-water-content oil well, which comprises the steps of obtaining a single well model in a block, formulating a well selection principle, designing a construction scheme and evaluating water blocking effect, and is applied to well selection, construction and water blocking evaluation work of a horizontal well and a directional well in the high-water-content oil well, wherein the water blocking effect evaluation is to establish a water blocking effect evaluation model based on fuzzy comprehensive evaluation after well selection, namely, calculate comprehensive scores according to weights and membership of water blocking effect evaluation indexes of each effective well.
Description
Technical Field
The invention relates to the technical field of high-water-content oil wells, in particular to an evaluation method of water-control well repair liquid for a high-water-content oil well.
Background
The high water content oil well mainly describes an oil well in which the oil field enters a high water content stage, and the water control type workover fluid is a fluid specially used in the workover process of the oil field and mainly has the function of controlling the water outlet of a stratum. Such workover fluids are generally classified into water-based and oil-based types.
Because of the difference of data such as permeability, distribution range, permeability level difference and the like of different oil groups, analysis is needed, and a water shutoff well selection principle is formulated for well selection and water shutoff construction process; in the prior art, when well selection and water plugging evaluation are carried out, analysis and evaluation are carried out after a plurality of related data establishment principles are combined, and manual analysis method operation is often adopted. In general, various factors are considered in well selection and water shutoff evaluation to achieve the best well selection construction plan effect. However, in the current stage, the block water blocking well selection principle and the single well construction scheme are lack to be evaluated, and the design of the single well process scheme is still to be studied, so that the evaluation standard of each well selection in the block is difficult to form, thereby being unfavorable for the construction scheme of each well selection in the block and the development of the water control well repair liquid. Therefore, we propose a block water shutoff well selection principle and an evaluation method of a single well construction scheme for water control type well workover fluid of a high water content oil well.
Disclosure of Invention
The present invention has been made in view of the above-described problems associated with the conventional well selection and water shutoff evaluation of high water content wells.
Therefore, one of the purposes of the invention is to provide an evaluation method of the water control type well repairing liquid for the high water content oil well, which establishes a gray correlation water shutoff effect main control factor analysis model, can realize quantitative evaluation of the single well water shutoff effect through data analysis, and analyzes the comprehensive score of each well in a block, thereby making a block water shutoff well selection principle and a single well construction scheme, and being beneficial to implementation of the construction scheme of each well in the block.
In order to solve the technical problems, the invention provides the following technical scheme: the method comprises the following steps:
step one, acquiring a single well model in a block, specifically cutting a block geological model into blocks to generate a single well model, and performing history fitting on the obtained single well model to form history fitting data;
step two, a water shutoff well selection principle and a construction scheme are formulated, an equivalent sand filling pipe homogenizing model is constructed, and well selection is carried out through grey correlation analysis of a water shutoff effect main control factor and a well selection principle;
step three, evaluating the water plugging effect, and establishing a water plugging effect evaluation model based on fuzzy comprehensive evaluation after well selection; the water shutoff effect evaluation model based on fuzzy comprehensive evaluation calculates a comprehensive score according to the weight and membership degree occupied by each water shutoff effect evaluation index of the affected well, and specifically comprises the following steps:
data normalization processing is performed by the formula (1), as follows:
wherein x is ij The value of the j index, y, which is the i sample ij A standard value of the j index which is the i sample;
calculating the specific gravity value p of the ith sample standard value accounting for the sample under the jth index by the method (2) ij The following are provided:
wherein n is the sequence number of the ith sample;
calculating the entropy value E of the j-th index by the formula (3) j The following are provided:
wherein ln (p ij ) Is p ij In (c), ln (n) is the natural logarithm of n, when p ij ＝0,lnp ij ＝0；
Calculating the weight W of the jth index by the formula (4) j And calculating the membership degree R of the jth index by the formula (5) ij The following are provided:
wherein k is the sequence number of the j index;
calculating a composite score F of the ith sample by equation (6) i The following are provided:
as a preferred embodiment of the present invention, wherein: the water blocking effect evaluation index comprises a daily oil increasing index, a maximum precipitation rate index and a water blocking effective period index.
As a preferred embodiment of the present invention, wherein: step one, performing history fitting on the single well model, and simulating a working system adopting fixed liquid amount;
the history fit data includes a cumulative liquid production fit, a cumulative oil production fit, and a cumulative water content fit, and is presented as a data plot.
As a preferred embodiment of the present invention, wherein: in the second step, the equivalent sand filling pipe homogenizing model is constructed to specifically acquire the water content, the permeability level difference, the liquid amount and the length information of the horizontal section, and the accumulated water yield change information, the overall water content change information, the water content change information after water shutoff, the accumulated liquid yield and oil yield change information and the precipitation rate validity period change information are obtained by fitting experimental data of the sand filling pipe.
As a preferred embodiment of the present invention, wherein: the water content is set to 3 or 4 water content gradients, the permeability level difference is set to 4 or 5 longitudinal permeability level differences, the liquid amount is set to 3 or 4 liquid amount gradients, and the horizontal segment length is set to 3 horizontal segment length gradients.
As a preferred embodiment of the present invention, wherein: the main control factors of the water shutoff effect are analyzed in a gray correlation mode, and the formed curves are presented by adopting geometric shapes according to 3 directional well selection principles or 4 directional well selection principles;
the 3 directional well selection principle comprises the steps of setting 4 water content gradients, setting 5 longitudinal permeability gradients by using the permeability gradients and setting 4 liquid gradients by using the liquid quantity;
the 4 directional well selection principles comprise setting 3 water content gradients for water content, setting 4 longitudinal permeability gradients for permeability gradients, setting 3 liquid gradients for liquid amount and setting 3 horizontal section length gradients for horizontal section length.
As a preferred embodiment of the present invention, wherein: in the first step, the block geological model is diced to generate a single-well model, and specifically, the reservoir actual geological model is diced to form a single-well diced model, logarithmic encryption is carried out on production grids, and the generated single-well model is processed, wherein the diced processing data of the single-well model comprise the number of grids, the size of single grids and the number of grids after encryption.
As a preferred embodiment of the present invention, wherein: and thirdly, calculating a comprehensive score according to the weight and membership degree of each water shutoff effect evaluation index of the affected well, and automatically generating a comparison punctiform or cylindrical chart of the comprehensive score of each effect well after analysis, so that the water shutoff effect of each well can be conveniently compared.
As a preferred embodiment of the present invention, wherein: the construction scheme comprises the steps of selecting plugging liquid of the injection section and the corresponding dosage.
The invention has the beneficial effects that: the invention establishes a block water shutoff well selection principle, a single well construction scheme and evaluation of water shutoff effects, specifically establishes 4 horizontal well water shutoff well selection principles and 3 directional well water shutoff well selection principles based on a control variable method, determines main control factors of the single well water shutoff effect based on a gray correlation analysis method, develops design of the horizontal well water shutoff construction scheme and the directional well water shutoff construction scheme, and optimizes the dosage of plugging agents and slugs; meanwhile, daily oil quantity, maximum precipitation rate and water shutoff validity period are selected as water shutoff effect evaluation indexes, a water shutoff effect evaluation method based on fuzzy comprehensive evaluation is established, an interface type single-well water shutoff effect comprehensive evaluation program is developed, evaluation standards of each well in a block can be constructed, and therefore the construction scheme of each subsequent well in the block and the development of water control type well repairing liquid are facilitated, and an important effect is achieved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
FIG. 1 is a flow chart of the evaluation method of the water control well servicing fluid for high water content oil wells of the present invention;
FIG. 2 is a correlation chart of influence factors of water shutoff effect of a horizontal well;
FIG. 3 is a graph showing the correlation of the influence factors of the water plugging effect of the directional well.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which are obtained by a person skilled in the art based on the described embodiments of the invention, fall within the scope of protection of the invention.
Referring to fig. 1 to 3, in an embodiment of the present invention, a method for evaluating a water control type well repairing liquid for a high water content oil well is provided, which includes the steps of obtaining a single well model in a block, formulating a well selecting principle, designing a construction scheme, and evaluating a water plugging effect, and is applied to well selecting, constructing and evaluating horizontal wells and directional wells in the high water content oil well, and specifically includes the following steps:
firstly, the horizontal well and the directional well of the embodiment are specifically described, wherein the horizontal well is a main force producing layer ZJ2-1 oil group, the bottom water is mainly driven, and physical properties at two ends of a reservoir are better than those of the middle physical property; the directional well is positioned at the high position of the oil reservoir structure, ZH2-1 and ZH 1-6 oil groups are produced together, and the well has larger physical property difference and stronger non-uniformity in the longitudinal direction.
Step one, acquiring a single well model in a block, specifically cutting a block geological model into blocks to generate a single well model, and performing history fitting on the obtained single well model to form history fitting data; the method comprises the steps of cutting a block geological model into a single-well model, specifically cutting the actual geological model of an oil reservoir into a single-well cutting model, carrying out logarithmic encryption on production grids, and processing the generated single-well model, wherein cutting processing data of the single-well model comprise the number of grids, the size of single grids and the number of grids after encryption.
The method comprises the steps of cutting an actual geological model of an oil reservoir into Shan Jingqie models of a horizontal well, carrying out logarithmic encryption on production grids, processing to generate single-well models of the horizontal well, wherein the number of grids is 4500, the size of a single grid is 25mx25m, the number of grids after encryption is 8340, carrying out history fitting on the single-well models of the horizontal well, and adopting a working system simulation of fixed liquid amount, so that the fitting effect is good; the method comprises the steps of performing dicing processing on an actual oil reservoir model to generate a directional well single-well dicing model, performing logarithmic encryption on production grids, generating the directional well single-well model after processing, wherein the number of the grids is 4000, the grid size is 5mx 5m, the number of the grids after encryption is 4264, performing history fitting on the directional well single-well model, and performing simulation by adopting a working system of fixed liquid amount, wherein the fitting effect is ideal.
Furthermore, the history fit data includes a cumulative liquid production fit, a cumulative oil production fit, and a cumulative water content fit, and is presented as a data plot.
Step two, a water shutoff well selection principle is established, an equivalent sand filling pipe homogenizing model is constructed, and well selection is carried out through grey correlation analysis of water shutoff effect main control factors and well selection principles; constructing an equivalent sand filling pipe homogenizing model, specifically, constructing an equivalent sand filling pipe homogenizing model, wherein the grid number is 20 multiplied by 1, and the sizes in the I and J, K directions are 1cm, 2.5cm and 2.5cm; and the purpose of obtaining gel adsorption parameters is achieved by fitting sand filling pipe experimental data.
The construction of the equivalent sand filling pipe homogenizing model to be further described specifically acquires water content, permeability level difference, liquid amount and horizontal section length information, and obtains accumulated water yield change information, integral water content change information, water content change information after water shutoff, accumulated liquid yield and accumulated oil yield change information and precipitation rate validity period change information by fitting sand filling pipe experimental data.
The water content is set to 3 or 4 water content gradients, the permeability level difference is set to 4 or 5 longitudinal permeability level differences, the liquid amount is set to 3 or 4 liquid amount gradients, and the horizontal segment length is set to 3 horizontal segment length gradients. In addition, the main control factors of the water shutoff effect are analyzed in a gray correlation manner, and the formed curves are presented by adopting geometric shapes according to 3 directional well selection principles or 4 directional well selection principles; the 3 directional well selection principle comprises the steps of setting 4 water content gradients, setting 5 longitudinal permeability gradients by using the permeability gradients and setting 4 liquid gradients by using the liquid quantity; the 4 directional well selection principles comprise setting 3 water content gradients for water content, setting 4 longitudinal permeability gradients for permeability gradients, setting 3 liquid gradients for liquid amount and setting 3 horizontal section length gradients for horizontal section length.
Further illustratively, the well selection criteria include selecting a well having a low water content ratio, a well having a low permeability level difference, a well having a low fluid volume ratio, and a well having a long horizontal leg length ratio.
Firstly, a water blocking well selection principle is formulated for a horizontal well, and a water blocking effect main control factor is analyzed, and the gel system and related adsorption parameters are applied to a horizontal well single well model, so that the water content is reduced to 86% by 94%, and the effective period is more than 6 months. Developing well selection principle formulation from 4 aspects of water content, permeability level difference, liquid amount and horizontal section length based on the model;
specifically, 3 water content gradients were set: 84%, 90% and 94%. The data show that the later the water blocking time is, the later the liquid production is reduced after blocking, and the accumulated oil production is increased; the earlier the water shutoff opportunity is, the more the precipitation rate is increased, and the effective period is increased, so the earlier the water shutoff opportunity is, the better the water shutoff opportunity is;
4 longitudinal permeability level differences were set: 5. 13, 26 and 53. The level difference is increased, the accumulated oil yield is reduced, the precipitation rate and the effective period are not influenced, and compared with the water blockage without water blockage, the longitudinal permeability level difference has no obvious influence on the precipitation rate and the effective period of water blockage, so that the water blockage of the well with low permeability level difference is selected;
3 liquid gradient were set: 500m3, 1000m3, 1500m3. The liquid amount is increased, the oil increasing amount and the water reducing rate are not obviously changed, but the water blocking effective period is reduced, so that the water blocking of the low liquid amount well is selected as much as possible;
three horizontal segment gradients were set: 575m, 393m, 228m. The length of the horizontal section is increased, the oil quantity is increased after water shutoff, the length of the horizontal section has no obvious influence on the dewatering amplitude and the water control effective period, and the oil well water shutoff with longer length of the horizontal section is recommended to be selected as much as possible.
Finally, according to the summarized well selection principle of 4 horizontal wells, when the water plugging effect main control factors are analyzed through grey correlation to plug water of the horizontal wells, the oil wells with lower water content, the oil wells with low permeability level difference, the oil wells with lower liquid content and the oil wells with longer horizontal section length are selected as much as possible, and meanwhile, according to the graph, the length of the horizontal section > water content > liquid content > permeability level difference is known.
Secondly, a water blocking well selection principle is formulated for the directional well, and a water blocking effect main control factor is analyzed, and the gel system and related adsorption parameters are applied to a directional well single well model, so that the water content is reduced to 75.6% by 89.2%, and the effective period is more than 6 months. Developing well selection principle formulation from 3 aspects of water content, permeability level difference and liquid amount based on the model;
specifically, four water content gradients were set: 60%, 70%, 80% and 90%. The water content is increased, the accumulated oil yield is reduced, the precipitation rate is reduced, and the water blocking effective period is reduced, so that the earlier the water blocking time is, the better the water blocking time is;
five permeability level differences were set: 1. 5, 11, 17 and 35. The permeability level difference is increased, the oil increasing amount is increased and then decreased, the precipitation rate is reduced, and the water plugging effective period is more than 6 months, so that the water plugging of the oil well with the permeability level difference of 5-11 is selected as much as possible;
four liquid amounts were set: 100m3, 150m3, 200m3 and 250m3. The liquid amount is increased, the oil increasing amount is increased, the precipitation rate is not obviously changed, and the water blocking effective period is reduced, so that the oil well with the liquid amount of 150-200 sides is selected as much as possible to block water;
referring to fig. 3, finally, according to the summarized well selection principle of 3 directional wells, when the main control factors of the water shutoff effect are analyzed through grey correlation, water shutoff of the directional wells should be selected as much as possible: the oil well with lower water content, the oil well with 5-11 permeability level difference and the oil well with 150-200 liquid volumes are shown in figure 3, and the water content > liquid volume > permeability level difference.
Based on the above, the present embodiment establishes 4 horizontal well water plugging well selection principles and 3 directional well water plugging well selection principles based on the control variable method, which is beneficial to the operation and implementation of subsequent well selection.
In addition, after well selection is carried out on the basis of the well selection principle, a single well construction scheme is formulated; specifically, first, the horizontal well injection slug is 'pre-fluid + plugging agent main body + displacement fluid', and 5 pre-fluid and displacement fluid dosages are set. The front liquid and the rear liquid slow down the water content rise, and the consumption has obvious influence on the precipitation rate; secondly, the injection slug of the directional well is 'front liquid + plugging agent main body + displacement liquid', and the dosage of 6 plugging agents is set: 100, 150, 200, 250, 300 and 350. The dosage of the plugging agent is increased, the accumulated oil increasing amount is increased, the water content is gradually increased, and the plugging radius is increased.
Based on the gray correlation analysis method of the embodiment, the main control factors of the single well water shutoff effect are defined; the design of the water plugging construction scheme of the horizontal well and the directional well is developed, and the dosage of plugging agent and slug is optimized.
Step three, evaluating the water plugging effect, and establishing a water plugging effect evaluation model based on fuzzy comprehensive evaluation after well selection; the water shutoff effect evaluation model based on fuzzy comprehensive evaluation calculates a comprehensive score according to the weight and membership degree occupied by each water shutoff effect evaluation index of the affected well, and specifically comprises the following steps:
data normalization processing is performed by the formula (1), as follows:
wherein x is ij The value of the j index, y, which is the i sample ij A standard value of the j index which is the i sample;
calculating the specific gravity value p of the ith sample standard value accounting for the sample under the jth index by the method (2) ij The following are provided:
wherein n is the sequence number of the ith sample;
calculating the entropy value E of the j-th index by the formula (3) j The following are provided:
wherein ln (p ij ) Is p ij In (c), ln (n) is the natural logarithm of n, when p ij ＝0,lnp ij ＝0；
Calculating the weight W of the jth index by the formula (4) j And calculating the membership degree R of the jth index by the formula (5) ij The following are provided:
wherein k is the sequence number of the j index;
calculating a composite score F of the ith sample by equation (6) i The following are provided:
the water shutoff effect evaluation indexes comprise a daily oil increase amount index, a maximum precipitation rate index and a water shutoff validity period index, namely the daily oil increase amount index, the maximum precipitation rate index and the water shutoff validity period index can be selected as the water shutoff effect evaluation indexes, a water shutoff effect evaluation method based on fuzzy comprehensive evaluation can be established, a comprehensive evaluation program of the water shutoff effect of a face type single well can be developed, the comprehensive score of each well can be directly obtained through inputting the daily oil increase amount index, the maximum precipitation rate index and the water shutoff validity period, the comprehensive analysis of the daily oil increase amount index, the maximum precipitation rate index and the water shutoff validity period index of each sample effective well in a block is realized, the comprehensive score is generated, the qualitative and quantitative analysis of each sample effective well in the block is completed, the evaluation operation of the well selection can be facilitated, and the comprehensive score contrast point or column diagram of each effect well can be automatically generated after the analysis, so that the water shutoff effect of each well can be conveniently compared.
Based on the above, the invention establishes a block water shutoff well selection principle, a single well construction scheme and evaluation of water shutoff effects, specifically establishes 4 horizontal well water shutoff well selection principles and 3 directional well water shutoff well selection principles based on a control variable method, determines single well water shutoff effect main control factors based on a gray correlation analysis method, develops horizontal well and directional well water shutoff construction scheme designs, and optimizes the dosage of plugging agents and slugs; meanwhile, daily oil quantity, maximum precipitation rate and water shutoff validity period are selected as water shutoff effect evaluation indexes, a water shutoff effect evaluation method based on fuzzy comprehensive evaluation is established, an interface type single-well water shutoff effect comprehensive evaluation program is developed, evaluation standards of each well in a block can be constructed, and therefore the construction scheme of each subsequent well in the block and the development of water control type well repairing liquid are facilitated, and an important effect is achieved.
It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. All or part of the steps of the methods of the embodiments described above may be performed by a program that, when executed, comprises one or a combination of the steps of the method embodiments, instructs the associated hardware to perform the method.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules described above, if implemented in the form of software functional modules and sold or used as a stand-alone product, may also be stored in a computer-readable storage medium. The storage medium may be a read-only memory, a magnetic or optical disk, or the like.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think of various changes or substitutions within the technical scope of the present application, and these should be covered in the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (9)
1. The evaluation method of the water control type well repairing liquid for the high water content oil well is characterized by comprising the following steps of:
step one, acquiring a single well model in a block, specifically cutting a block geological model into blocks to generate a single well model, and performing history fitting on the obtained single well model to form history fitting data;
step two, a water shutoff well selection principle and a construction scheme are formulated, an equivalent sand filling pipe homogenizing model is constructed, and well selection is carried out through grey correlation analysis of a water shutoff effect main control factor and a well selection principle;
step three, evaluating the water plugging effect, and establishing a water plugging effect evaluation model based on fuzzy comprehensive evaluation after well selection; the water shutoff effect evaluation model based on fuzzy comprehensive evaluation calculates a comprehensive score according to the weight and membership degree occupied by each water shutoff effect evaluation index of the affected well, and specifically comprises the following steps:
data normalization processing is performed by the formula (1), as follows:
wherein x is ij The value of the j index, y, which is the i sample ij A standard value of the j index which is the i sample;
calculating the specific gravity value p of the ith sample standard value accounting for the sample under the jth index by the method (2) ij The following are provided:
wherein n is the sequence number of the ith sample;
calculating the entropy value E of the j-th index by the formula (3) j The following are provided:
wherein ln (p ij ) Is p ij In (n) is the natural logarithm of n, whenlnp ij ＝0；
Calculating the weight W of the jth index by the formula (4) j And calculating the membership degree R of the jth index by the formula (5) ij The following are provided:
wherein k is the sequence number of the j index;
calculating a composite score F of the ith sample by equation (6) i The following are provided:
2. the method for evaluating a water control type well servicing fluid for a high water content well as recited in claim 1, wherein the water shutoff effect evaluation index comprises a daily oil increase index, a maximum precipitation rate index, and a water shutoff validity period index.
3. The method for evaluating a water control type well servicing fluid for a high water content oil well as recited in claim 1, wherein in the first step, the single well model performs a history fit and adopts a working system simulation of a fixed fluid volume;
the history fit data includes a cumulative liquid production fit, a cumulative oil production fit, and a cumulative water content fit, and is presented as a data plot.
4. The evaluation method of the water control type well workover fluid for the high-water-content oil well according to claim 1, wherein in the second step, the water content, the permeability level difference, the liquid amount and the horizontal segment length information are specifically obtained by constructing an equivalent sand filling pipe homogenizing model, and accumulated water yield change information, overall water content change information, water content change information after water shutoff, accumulated liquid yield and accumulated oil yield change information and precipitation rate validity change information are obtained by fitting sand filling pipe experimental data.
5. The evaluation method for a water control type well servicing fluid for a high water content oil well according to claim 4, wherein the water content is set to 3 or 4 water content gradients, the permeability level difference is set to 4 or 5 longitudinal permeability level differences, the fluid volume is set to 3 or 4 fluid volume gradients, and the horizontal segment length is set to 3 horizontal segment length gradients.
6. The evaluation method of water control type well repairing liquid for high water content oil well according to claim 5, wherein the main control factor of the water blocking effect is analyzed in gray correlation, and the formed curve is presented by adopting geometric shape according to 3 oriented well selecting principles or 4 oriented well selecting principles;
the 3 directional well selection principle comprises the steps of setting 4 water content gradients, setting 5 longitudinal permeability gradients by using the permeability gradients and setting 4 liquid gradients by using the liquid quantity;
the 4 directional well selection principles comprise setting 3 water content gradients for water content, setting 4 longitudinal permeability gradients for permeability gradients, setting 3 liquid gradients for liquid amount and setting 3 horizontal section length gradients for horizontal section length.
7. The evaluation method of water control type workover fluid for high water content oil wells as claimed in claim 1, wherein in the first step, the block geologic model is diced to generate a single well model, specifically, the reservoir actual geologic model is diced into single well diced models, the production grids are logarithmically encrypted, the generated single well models are processed, and the diced processing data of the single well models comprise the grid number, the single grid size and the encrypted grid number.
8. The evaluation method of water control type well repairing liquid for high water content oil wells according to claim 1, wherein in the third step, a comprehensive score is calculated according to the weight and membership degree occupied by each water blocking effect evaluation index of the affected well, and after analysis, a comprehensive score contrast dot or column chart of each effect well is automatically generated, so that the water blocking effect of each well can be conveniently compared.
9. The method of evaluating a water control well servicing fluid for a high water content well of claim 1, wherein the construction protocol comprises selecting an injection section plugging fluid and a corresponding amount.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311645824.XA CN117575432B (en) | 2023-12-04 | 2023-12-04 | Evaluation method of water control type well repairing liquid for high-water-content oil well |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311645824.XA CN117575432B (en) | 2023-12-04 | 2023-12-04 | Evaluation method of water control type well repairing liquid for high-water-content oil well |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117575432A true CN117575432A (en) | 2024-02-20 |
| CN117575432B CN117575432B (en) | 2024-05-31 |
Family
ID=89891655
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311645824.XA Active CN117575432B (en) | 2023-12-04 | 2023-12-04 | Evaluation method of water control type well repairing liquid for high-water-content oil well |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117575432B (en) |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105095986A (en) * | 2015-06-23 | 2015-11-25 | 中国石油天然气股份有限公司 | Method for predicting overall yield of multilayer oil reservoir |
| CN105696985A (en) * | 2014-12-09 | 2016-06-22 | 中国海洋石油总公司 | Determination method for combination flooding efficient oil flooding scheme under condition of four-injection nine-mining well pattern and combination flooding efficient oil flooding scheme |
| CN109083641A (en) * | 2018-10-15 | 2018-12-25 | 西南石油大学 | Measure job execution effect evaluation method in a kind of underground workover treatment |
| CN109902329A (en) * | 2018-09-21 | 2019-06-18 | 长江大学 | A kind of reservoir modeling auxiliary history-matching method, system, storage medium and equipment |
| CN112116707A (en) * | 2020-07-22 | 2020-12-22 | 北京纳宇通达石油技术有限公司 | Gas well production allocation method and device based on residual gas reserve estimation |
| CN113313825A (en) * | 2021-05-17 | 2021-08-27 | 中国石油天然气集团有限公司 | Three-dimensional geological modeling method and device for oil reservoir |
| CN114664387A (en) * | 2022-03-23 | 2022-06-24 | 西南石油大学 | Oil well chemical water plugging performance indoor evaluation method based on cumulative effect |
| CN115964961A (en) * | 2021-10-09 | 2023-04-14 | 中国石油化工股份有限公司 | Horizontal well water plugging and well selection decision-making method |
| CN116384618A (en) * | 2021-12-21 | 2023-07-04 | 中国石油天然气股份有限公司 | Method and system for profile control and flooding well selection of large well spacing oil reservoir |
| CN116446848A (en) * | 2023-04-21 | 2023-07-18 | 中海石油(中国)有限公司 | Steam huff and puff productivity prediction method and system for offshore multilayer heavy oil reservoir |
-
2023
- 2023-12-04 CN CN202311645824.XA patent/CN117575432B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105696985A (en) * | 2014-12-09 | 2016-06-22 | 中国海洋石油总公司 | Determination method for combination flooding efficient oil flooding scheme under condition of four-injection nine-mining well pattern and combination flooding efficient oil flooding scheme |
| CN105095986A (en) * | 2015-06-23 | 2015-11-25 | 中国石油天然气股份有限公司 | Method for predicting overall yield of multilayer oil reservoir |
| CN109902329A (en) * | 2018-09-21 | 2019-06-18 | 长江大学 | A kind of reservoir modeling auxiliary history-matching method, system, storage medium and equipment |
| CN109083641A (en) * | 2018-10-15 | 2018-12-25 | 西南石油大学 | Measure job execution effect evaluation method in a kind of underground workover treatment |
| CN112116707A (en) * | 2020-07-22 | 2020-12-22 | 北京纳宇通达石油技术有限公司 | Gas well production allocation method and device based on residual gas reserve estimation |
| CN113313825A (en) * | 2021-05-17 | 2021-08-27 | 中国石油天然气集团有限公司 | Three-dimensional geological modeling method and device for oil reservoir |
| CN115964961A (en) * | 2021-10-09 | 2023-04-14 | 中国石油化工股份有限公司 | Horizontal well water plugging and well selection decision-making method |
| CN116384618A (en) * | 2021-12-21 | 2023-07-04 | 中国石油天然气股份有限公司 | Method and system for profile control and flooding well selection of large well spacing oil reservoir |
| CN114664387A (en) * | 2022-03-23 | 2022-06-24 | 西南石油大学 | Oil well chemical water plugging performance indoor evaluation method based on cumulative effect |
| CN116446848A (en) * | 2023-04-21 | 2023-07-18 | 中海石油(中国)有限公司 | Steam huff and puff productivity prediction method and system for offshore multilayer heavy oil reservoir |
Non-Patent Citations (1)
| Title |
|---|
| 刘伟等: "基于单井敏感性区域的油藏模拟辅助历史拟合", 《断块油气田》, vol. 25, no. 6, 30 November 2018 (2018-11-30) * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117575432B (en) | 2024-05-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113052371B (en) | Residual oil distribution prediction method and device based on deep convolutional neural network | |
| Baptist et al. | On inducing equations for vegetation resistance | |
| CN111625922B (en) | Large-scale oil reservoir injection-production optimization method based on machine learning agent model | |
| CN106250984A (en) | Method and device for judging oil-water relation mode of oil well | |
| CN115906675B (en) | Well position and injection and production parameter joint optimization method based on time sequence multi-target prediction model | |
| CN112016212B (en) | Reservoir longitudinal heterogeneity evaluation method based on seepage control equation | |
| Cirbus et al. | Cellular automata for the flow simulations on the earth surface, optimization computation process | |
| CN116523086A (en) | Single well production dynamic prediction method based on long-short-term memory depth neural network | |
| Sam et al. | River sedimentation and morphology modeling–The state of the art and future development | |
| CN110593849B (en) | Oil reservoir numerical simulation method considering dynamic change of phase-permeability curve | |
| CN109559017A (en) | Technical index limit before foam drainage gas production implementation of gas well in Qinghai gas area and determination of technical index limit | |
| CN117575432B (en) | Evaluation method of water control type well repairing liquid for high-water-content oil well | |
| CN111814318B (en) | Staged fracturing fracture parameter design method for tight reservoir horizontal well | |
| CN108843296A (en) | A kind of individual well refracturing effect prediction method based under multifactor impact | |
| CN114139432A (en) | Fractured reservoir CO using neural network technology2Flooding simulation method | |
| CN111625925B (en) | Ternary combination flooding injection-production optimization method based on chromatographic separation | |
| CN113569318B (en) | Method for rapidly determining optimal layout scheme of regulating reservoir | |
| CN115126459B (en) | Method and device for treating height of hydraulic fracture | |
| Poddar et al. | Data-driven modeling approach in model rainfall-runoff for a mountainous catchment | |
| CN116861714B (en) | Method for determining water flooding sweep degree of fracture-cavity oil reservoir | |
| CN113627761B (en) | Parallel evaluation method for geotechnical engineering water inrush probability prediction | |
| CN117933103B (en) | Carbon sequestration model uncertainty analysis method based on Bayesian deep learning | |
| CN112329243B (en) | Heterogeneous reservoir high-water-content horizontal well water invasion process inversion method and device | |
| Li et al. | A switch control based dynamic optimization of polymer flooding | |
| CN116911215A (en) | Dam break flood simulation method and system based on reservoir flood regulation coupling hydrodynamic force |
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 |