CN107038516B - Quantitative evaluation method for water-flooding development effect of medium-permeability complex fault block oil reservoir - Google Patents
Quantitative evaluation method for water-flooding development effect of medium-permeability complex fault block oil reservoir Download PDFInfo
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Abstract
The invention relates to a quantitative evaluation method for the water-flooding development effect of a medium-permeability complex fault block oil reservoir, and belongs to the field of oil field development oil reservoir engineering. On the basis of selecting factors influencing the water-flooding development effect of the medium-permeability complex fault-block oil reservoir, according to the influence degree of each factor on the development effect and the logic relation among the factors, the evaluation factors with relative independence and operability are determined, quantitative superposition and synthesis are carried out on the evaluation factors, an evaluation grade membership matrix capable of quantitatively evaluating the water-flooding development effect of the medium-permeability complex fault-block oil reservoir is established, and the purpose of quantitatively evaluating the water-flooding development effect of the medium-permeability complex fault-block oil reservoir is achieved. The method fully considers the common influence of each single factor on the oil reservoir, and the obtained unique quantitative evaluation result of the target oil reservoir can scientifically and accurately evaluate the water-flooding development effect of the medium-seepage complex fault-block oil reservoir, thereby providing objective basis for scientific decision of oil reservoir development and providing technical support for effective adjustment of oil reservoir development scheme.
Description
Technical Field
The invention relates to a quantitative evaluation method for the water-flooding development effect of a medium-permeability complex fault-block oil reservoir, belongs to the field of oil field development oil reservoir engineering, and particularly relates to the technical field of oil field development effect evaluation methods.
Background
The medium-permeability complex fault block oil reservoir is one of the main oil reservoir types of domestic sandstone oil reservoirs, and is characterized by complex structure, small oil-containing area of single fault block and small reserves. The oil reservoirs are generally developed in a water flooding mode, the well pattern adaptability is poor, flooding in broken blocks is serious, the residual oil at the corners of the broken blocks is rich, most of the oil reservoirs enter a high-water-content development stage at present, and the overall recovery ratio is low. How to quantitatively and accurately evaluate the water flooding development effect of the oil reservoir, and realize the benefit development of the oil reservoir, is an important content of concern and research of oilfield managers.
The main method for evaluating the conventional water flooding development effect comprises the following steps: (1) The development curve evaluation method is characterized in that development curves such as a water content-extraction degree curve, a water flooding index-extraction degree curve, a water storage rate-extraction degree curve and the like are commonly used, and the development effect is qualitatively evaluated through curve trend. Different development curves reflect the influence of different single factors on the development effect. In practical application, for the same oil reservoir, because the emphasis points of all single factors are different, mutually contradictory evaluation results can be obtained, so that the evaluation results cannot be applied; (2) The industry standard method is used for carrying out qualitative-semi-quantitative evaluation on the oil reservoir development effect according to the classification indexes according to the industry standard, and the oil reservoir development effect cannot be accurately evaluated due to the fact that the evaluation indexes are various and are difficult to take full accuracy, and the operability is poor; (3) According to the oil reservoir recovery ratio evaluation method, the oil reservoir recovery ratio is used as a basis for evaluating the oil reservoir development effect, and as the oil reservoir recovery ratio is a result predicted by utilizing the oil reservoir water drive characteristic curve, the accuracy of the result has strong dependence on the technical proficiency of oil reservoir engineers, the result predicted by different oil reservoir engineers of the same oil reservoir has larger difference, the artificially is stronger, and the development effect cannot be objectively and accurately reflected.
Application number 2015102223935 discloses a comprehensive evaluation method for the development effect of a water-flooding reservoir, which comprises the steps of grouping a plurality of water-flooding effect evaluation indexes from the perspective of fuzzy theory, introducing the indexes into an upper layer to form a hierarchical structure for layer-by-layer multi-level evaluation, dynamically adjusting and determining the index weight from the aspect of subjective and objective by utilizing a dynamic combination weighting method according to the actual production condition of an oil field, and comprehensively analyzing the evaluation result by utilizing a multiple fuzzy operator to obtain the final comprehensive evaluation result of the water-flooding effect. The evaluation method only evaluates according to the oil reservoir engineering indexes which embody the oil reservoir development characteristics, does not consider the development geological indexes which embody the oil reservoir self characteristics and the development economic indexes which embody the oil reservoir development benefits, and cannot comprehensively and accurately evaluate the water-flooding oil reservoir development effect.
Application number 2015101246658 discloses a method for evaluating water flooding development effect of a fracture-cavity type oil reservoir, which is limited to analysis of water flooding development effect of the fracture-cavity type oil reservoir and is not applicable to other oil reservoirs.
Disclosure of Invention
The invention aims to overcome the defects of single consideration factor, manual and qualitative evaluation and low accuracy of the water flooding development effect in the prior art, and provides a quantitative evaluation method for the water flooding development effect of a medium-permeability complex fault-block oil reservoir.
On the basis of selecting factors influencing the water-flooding development effect of the medium-permeability complex fault-block oil reservoir, according to the influence degree of each factor on the development effect and the logic relation among the factors, the evaluation factors with relative independence and operability are determined, quantitative superposition and synthesis are carried out on the evaluation factors, an evaluation grade membership matrix capable of quantitatively evaluating the water-flooding development effect of the medium-permeability complex fault-block oil reservoir is established, and the purpose of quantitatively evaluating the water-flooding development effect of the medium-permeability complex fault-block oil reservoir is achieved.
The method specifically comprises the following steps:
1, selecting factors influencing the water-flooding development effect of the medium-permeability complex fault-block oil reservoir, and determining evaluation factors with relative independence and operability according to the influence degree of each factor on the development effect and the logic relationship among the factors.
1.1, selecting initial evaluation factors influencing oil deposit development according to the influence degree of oil deposit development factors on oil deposit development by utilizing development geology, oil deposit engineering, development management and development economic data related to oil deposit development;
1.2, screening evaluation factors with relative independence and operability as evaluation factors influencing oil deposit development according to the logical relation and the oil deposit engineering basic theory among the initial evaluation factors influencing the oil deposit development selected in the step 1.1 and combining with the current situation of oil deposit development. The following 8 evaluation factors are included: the water drive reserve control degree, the water drive reserve utilization degree, the water storage rate evaluation coefficient, the gas injection ratio, the comprehensive decline rate, the water content rise rate evaluation coefficient, the residual recoverable reserve oil extraction speed and the ton liquid cost evaluation coefficient.
And 2, establishing an evaluation grade membership matrix capable of quantitatively evaluating the water-flooding development effect of the medium-permeability complex fault block oil reservoir by utilizing the result of quantitatively superposing and synthesizing the evaluation factors which are screened out and influence the oil reservoir development.
2.1, determining the actual value of 8 evaluation factors by using an oil reservoir engineering method according to the current state of oil reservoir development;
2.1.1 extent of Water drive reserves control
L in the formula, the circumference of each oil sand body is km;
a-areas of oil sands, km 2 ；
N i -geological reserves of oil sands, 10 4 t；
D-well spacing, km;
M i -the water drive control degree of each oil sand body, decimal;
m, developing unit water drive control degree, decimal;
2.1.2 extent of Water drive reserve utilization
L p /N＝A+BL p
N OM ＝1/B
In which L P Cumulative liquid production, 10 4 t；
N-cumulative oil production, 10 4 t；
N OM Water drive control reserves, 10 4 t；
N P Geological reserves, 10 4 t；
R gm -the final recovery of the reservoir, decimal;
R PM -reserve utilization, decimal;
2.1.3 Water storage Rate evaluation coefficient
In E i -water retention under the ground, decimal;
ΔQ i stage-injection of water, 10 4 m 3 ；
ΔQ w Stage extraction quantity, 10 4 m 3 ；
Calculating recovery ratio
Mu in the middle R -oil-water viscosity ratio, decimal;
r-the extent of recovery, decimal;
2.1.4 injection to recovery ratio
IPR-injection ratio in the formula;
W i stage-injection of water, 10 4 m 3 ；
Q o Stage oil production, 10 4 t；
Q w stage-Water yield, 10 4 m 3 ；
B o -a volume coefficient;
γ o crude oil specific gravity, g/cm 3 ；
2.1.5 comprehensive reduction Rate
Q in o1 -current year oil production with reduced daily output level at last year end, 10 4 t；
q o2 Check oil production in the current year, 10 4 t；
q o3 -New well annual oil production in the current year, 10 4 t；
2.1.6 Water cut-up evaluation coefficient
f＇ w ＝2.303·B'·N·f w ·(1-f w )
In B' — A-type water flooding curve LgW p Coefficients of linear regression =a '+b' ×n;
n-cumulative oil production, 10 4 t；
f w -comprehensive water content, decimal;
the expression of the actual water-containing rise rate is
F in w(i+1) -water content at time i+1;
f w(i-1) -the moisture content at time i-1;
R (i+1) -the extent of harvest at time i+1;
R (i-1) -the extent of extraction at time i-1;
definition of the calculation formula of F
In Deltaf i -the difference between the actual water cut increase rate and the theoretical water cut increase rate in the i th year;
M d ,N d k is respectively Deltaf i >0，<0, number of points=0;
the water content rising rate is evaluated by using an evaluation coefficient F of the water content rising rate, and the smaller the F value is, the higher the actual water content rising rate is close to the theoretical water content rising rate, so that the development effect is good; the larger the F value is, the worse the development effect is;
2.1.7 speed of oil recovery from residual recoverable reserves
In Q' o -oil production in the current year, 10 4 t；
N R The available reserves, 10 4 t；
N Upper part Accumulated oil production in last year, 10 4 t；
2.1.8 ton liquid cost evaluation coefficient
2.2, determining the threshold range of five evaluation grades of each factor in good, better, medium, worse and poor according to the industry standard of oilfield development level grading and combining with the development characteristics of medium-permeability complex fault block reservoirs;
2.3, determining the relation between the actual value of the evaluation factor and the threshold range by using membership functions of the evaluation factors and the threshold range of the evaluation grade, and establishing a fuzzy relation matrix I of the actual value of the evaluation factor and the threshold range;
2.4, establishing a quantitative matrix II of the mutual comparison relation of evaluation factors according to a 'Sady relative importance level table', determining the weight coefficient of each evaluation factor by using a method for solving the characteristic vector of the matrix through the matrix II, and establishing an evaluation factor weight coefficient matrix III;
and 2.5, performing fuzzy synthesis on the weight coefficient matrix III and the fuzzy relation matrix I to obtain an evaluation grade membership matrix IV for target oil reservoir development.
And 3, utilizing an evaluation grade membership matrix IV of the target oil reservoir development, and taking the evaluation grade of the maximum membership in the evaluation grade membership matrix IV of the target oil reservoir development as a quantitative evaluation result of the water flooding development effect of the medium-permeability complex fault block oil reservoir according to the principle of maximum membership.
The method has the advantages that on the basis of fully considering the common influence of each single factor on oil deposit development, 8 evaluation factors with relative independence and operability are selected for quantitative superposition and synthesis to form a unique quantitative evaluation result of oil deposit development, the evaluation process is simple and convenient and easy to operate, the obtained evaluation result can scientifically and accurately evaluate the water flooding development effect of the medium-seepage complex fault-block oil deposit, objective basis is provided for scientific decision of oil deposit development, technical support is provided for effective adjustment of an oil deposit development scheme, the basis of continuous stable yield of the oil deposit is tamped, and the purpose of improving the final recovery ratio of the oil deposit is achieved.
Drawings
FIG. 1 is a block diagram of a technical scheme of the present invention;
fig. 2 is a schematic diagram of a triangle membership function.
Detailed Description
The following describes the embodiments of the present invention in further detail with reference to the evaluation example of the water flooding effect of the Pu city oilfield east sand second reservoir and the accompanying drawings, and as can be seen from fig. 1, the specific steps of the present invention are as follows:
1, selecting factors influencing the water flooding development effect of the oil deposit under the Pu urban oil field east region sand II, and determining evaluation factors with relative independence and operability according to the influence degree of each factor on the development effect and the logic relation among the factors.
1.1, utilizing development geology, oil deposit engineering, development management and development economic data related to oil deposit development under the second sand in the eastern region of the Pucheng oil field, and selecting initial evaluation factors which influence the water flooding development effect of the second sand in the eastern region according to the influence degree of oil deposit development factors on the oil deposit development, wherein the initial evaluation factors are shown in table 1;
TABLE 1 statistical table of initial evaluation factors affecting water-flooding effect of reservoir under sand two of east
1.2 according to the logical relation and the oil reservoir engineering basic theory between the initial evaluation factors which influence the water-flooding effect of the second oil reservoir in the east region and are selected in the step 1.1, the cause factors which have causal relation in the initial evaluation factors and are shown in the table 2 are removed, the redundant factors which have equivalence relation in the initial evaluation factors and are shown in the table 3 are removed, the process factors which have inheritance relation in the initial evaluation factors and are shown in the table 4 are removed, and the evaluation factors which have relative independence and operability are obtained to serve as the evaluation factors which influence the water-flooding effect of the second oil reservoir in the east region. 8 evaluation factors of the oil deposit development effect under the east China sand II are determined as shown in table 5.
TABLE 2 cause factors
| Sequence number | Factors of |
| 1 | Constructional features |
| 2 | Deposition type |
| 3 | Physical characteristics |
| 4 | Reservoir characterization |
| 5 | Fluid properties |
| 6 | Reserve characteristics |
TABLE 3 superfluous factors
TABLE 4 Process factors
| Sequence number | Factors of |
| 1 | Comprehensive water content |
| 2 | Reserve characteristics |
| 3 | Residual recoverable reserve |
| 4 | Oil recovery rate from geological reserves |
| 5 | Water flooding condition |
| 6 | Single well control (residual) recoverable reserves |
| 7 | Density of well pattern |
| 8 | Layer-by-layer division |
| 9 | Injection and production correspondence rate |
| 10 | Percentage of water absorption thickness |
| 11 | Calibrating recovery ratio |
TABLE 5 evaluation factors of Water flooding effect of reservoir under Dongdistrict sand two
| Sequence number | Factors of |
| 1 | Degree of water drive reserve control |
| 2 | Degree of water drive reserve |
| 3 | Water storage rate evaluation coefficient |
| 4 | Ratio of injection to production |
| 5 | Coefficient of water cut-up rate evaluation |
| 6 | Comprehensive reduction rate |
| 7 | Oil recovery rate from residual recoverable reserves |
| 8 | Ton liquid cost evaluation coefficient |
And 2, establishing an evaluation grade membership matrix capable of quantitatively evaluating the water-flooding development effect of the oil deposit under the second sand in the east region by utilizing the result of quantitatively superposing and synthesizing the evaluation factors which are screened out and influence the development of the oil deposit under the second sand in the east region.
2.1 determining the actual value of the 8-term eastern region sand two-under-sand oil reservoir water-driving effect evaluation factors according to the eastern region sand two-under-sand oil reservoir development data from 1 st 1999 to 12 2015 by using an oil reservoir engineering method, as shown in table 6;
TABLE 6 actual values of reservoir Water flooding effect evaluation factors under Dongdistrict sand two
2.2, determining the threshold range of five evaluation grades of each evaluation factor in good, better, medium, worse and bad according to the industry standard of oilfield development level grading and combining the characteristics of oil deposit development under the second sand in the east region, as shown in table 7;
TABLE 7 evaluation factor threshold Range
2.3, determining the membership degree of the actual value of the water-flooding effect evaluation factor of the oil deposit under the second east sand in the evaluation level threshold range shown in table 8 by utilizing a triangle membership degree schematic diagram of each evaluation factor and the evaluation level threshold range shown in fig. 2, and establishing a fuzzy relation matrix I of the actual value of the water-flooding effect evaluation factor of the oil deposit under the second east sand in the threshold range;
TABLE 8 membership table for evaluation factors of water-flooding effect of oil reservoir under sand two east regions
Dongdistrict Shadi fuzzy relation matrix I
2.4 according to a 'Sadi relative importance level table' shown in table 9, determining a quantitative data table of the mutual comparison relation of evaluation factors shown in table 10, establishing a quantitative matrix II of the mutual comparison relation of the evaluation factors of the water flooding effect of the oil deposit under the second sand in the east region, determining the weight coefficient of each evaluation factor shown in table 11 by utilizing a method for solving the characteristic vector of the matrix through the matrix II, and establishing a weight coefficient matrix III of the evaluation factor of the water flooding effect of the oil deposit under the second sand in the east region;
table 9 table of relative importance of saidi
| Scale with a scale bar | Meaning of |
| 1 | The two elements have the same importance compared with each other |
| 3 | The former is slightly more important than the latter than the two elements |
| 5 | The former is significantly more important than the latter than the two elements |
| 7 | The former is of greater importance than the latter in comparison with the two elements |
| 9 | The former is extremely important compared with the latter in comparison with two elements |
| 2，4，6，8 | Intermediate value representing the above-mentioned adjacency judgment |
| Reciprocal count | The latter is important than the former |
Table 10 quantitative data table of comparative relationship between evaluation factors under Sha two in east China
Quantitative matrix II of comparative relation between evaluation factors under Dongdistrict Sha two
Table 11 evaluation factor weight coefficient
Factor weight coefficient matrix III for evaluating water-flooding development effect of oil reservoir under second sand in east China
A＝(0.31460.18190.12520.11550.10440.09470.04470.0191)
And 2.5, carrying out fuzzy synthesis on the weight coefficient matrix III and the fuzzy relation matrix I to obtain an evaluation grade membership matrix IV of the water flooding development effect of the oil deposit under the second sand in the east region.
Matrix ivb=a×r
B＝(0.58410.2759000.1400)
And 3, quantitatively evaluating the water-flooding development effect of the oil deposit under the second sand in the east region by utilizing an evaluation grade membership matrix IV of the water-flooding development effect of the oil deposit under the second sand in the east region.
According to the principle of 'maximum membership', the maximum 0.5841 in the evaluation grade membership matrix IV of the water flooding effect of the oil deposit under the second east region sand is positioned at the 'good' position, and the evaluation result of the water flooding effect of the oil deposit under the second east region sand of the Pucheng oil field can be determined to be 'good'.
The evaluation result of the water-flooding development effect of the oil deposit under the second sand in the east China is good, which indicates that the current water-flooding development effect of the oil deposit under the second sand in the east China is good, the design of the oil deposit development scheme is reasonable, and the current development scheme should be continuously implemented.
The evaluation result is consistent with the actual production condition of the oil reservoir site under the second sand in the east region, and the evaluation method is scientific and accurate.
Claims (3)
1. A quantitative evaluation method for the water-flooding development effect of a medium-permeability complex fault-block oil reservoir is characterized in that on the basis of selecting factors influencing the water-flooding development effect of the medium-permeability complex fault-block oil reservoir, evaluation factors with relative independence and operability are determined according to the influence degree of each factor on the development effect and the logic relation among the factors, quantitative superposition and synthesis are carried out on the evaluation factors, and an evaluation grade membership matrix capable of quantitatively evaluating the water-flooding development effect of the medium-permeability complex fault-block oil reservoir is established; the method comprises the following steps:
(1) Selecting factors influencing the water-flooding development effect of the medium-permeability complex fault-block oil reservoir, and determining evaluation factors with relative independence and operability according to the influence degree of each factor on the development effect and the logic relation among the factors;
(2) Establishing an evaluation grade membership matrix capable of quantitatively evaluating the water-flooding development effect of the medium-permeability complex fault block oil reservoir by utilizing the result of quantitatively superposing and synthesizing the screened evaluation factors influencing the oil reservoir development;
(3) Using an evaluation grade membership matrix IV of target oil reservoir development, and taking the evaluation grade of the maximum membership in the evaluation grade membership matrix IV of target oil reservoir development as a quantitative evaluation result of the water-flooding development effect of the medium-permeability complex fault-block oil reservoir according to the principle of maximum membership;
in the step (1), the evaluation factors with relative independence and operability are water drive reserve control degree, water drive reserve utilization degree, water storage rate evaluation coefficient, gas injection ratio, comprehensive reduction rate, water content rise rate evaluation coefficient, residual recoverable reserve oil extraction speed and ton liquid cost evaluation coefficient; the evaluation criteria for each evaluation factor were as follows:
1.1 extent of Water drive reserves control
M i ＝1-0.47·D·L 0.5 A 0.75 
L in the formula, the circumference of each oil sand body is km;
a-areas of oil sands, km 2 ；
N i -geological reserves of oil sands, 10 4 t；
D-well spacing, km;
M i -water driving and controlling of each oil sand bodyDegree of preparation, decimal;
m, developing unit water drive control degree, decimal;
1.2 extent of Water drive reserve utilization
L p /N＝A+BL p
N OM ＝1B
In which L P Cumulative liquid production, 10 4 t；
N-cumulative oil production, 10 4 t；
N OM Water drive control reserves, 10 4 t；
N P Geological reserves, 10 4 t；
R gm -the final recovery of the reservoir, decimal;
R PM -reserve utilization, decimal;
1.3 Water storage Rate evaluation coefficient
In E i -water retention under the ground, decimal;
ΔQ i stage-injection of water, 10 4 m 3 ；
ΔQ w Stage extraction quantity, 10 4 m 3 ；
Calculating recovery ratio
Mu in the middle R Viscosity of oil and waterA fraction;
r-the extent of recovery, decimal;
1.4 injection to production ratio
IPR-injection ratio in the formula;
W i stage-injection of water, 10 4 m 3 ；
Q o Stage oil production, 10 4 t；
Q w stage-Water yield, 10 4 m 3 ；
B o -a volume coefficient;
γ o crude oil specific gravity, g/cm 3 ；
1.5 comprehensive reduction Rate
Q in o1 -current year oil production with reduced daily output level at last year end, 10 4 t；
q o2 Check oil production in the current year, 10 4 t；
q o3 -New well annual oil production in the current year, 10 4 t；
1.6 Water cut-up evaluation coefficient
f′ w ＝2.303·B'·N·f w ·(1-f w )
In B' — A-type water flooding curve LgW p Coefficients of linear regression =a '+b' ×n;
n-cumulative oil production, 10 4 t；
f w Heald-a healdMixing the water and decimal;
the expression of the actual water-containing rise rate is
F in w(i+1) -water content at time i+1;
f w(i-1) -the moisture content at time i-1;
R (i+1) -the extent of harvest at time i+1;
R (i-1) -the extent of extraction at time i-1;
definition of the calculation formula of F
In Deltaf i -the difference between the actual water cut increase rate and the theoretical water cut increase rate in the i th year;
M d ,N d k is respectively Deltaf i >0，<0, number of points=0;
the water content rising rate is evaluated by using an evaluation coefficient F of the water content rising rate, and the smaller the F value is, the higher the actual water content rising rate is close to the theoretical water content rising rate, so that the development effect is good; the larger the F value is, the worse the development effect is;
1.7 oil recovery speed from residual recoverable reserves
In Q' o -oil production in the current year, 10 4 t；
N R The available reserves, 10 4 t；
N Upper part Accumulated oil production in last year, 10 4 t；
1.8 ton liquid cost evaluation coefficient
2. The quantitative evaluation method for the water-flooding development effect of the medium-permeability complex fault block oil reservoir is characterized in that evaluation factors with relative independence and operability for development of the oil reservoir of the target block are determined according to the following method:
(1) The initial evaluation factors influencing the oil deposit development are selected according to the influence degree of the oil deposit development factors on the oil deposit development by utilizing the development geology, the oil deposit engineering, the development management and the development economic data related to the oil deposit development;
(2) According to the logical relation and the oil reservoir engineering basic theory among the initial evaluation factors which are selected in the step (1) and influence the oil reservoir development, and combining with the current situation of the oil reservoir development, the evaluation factors with relative independence and operability are screened to be used as the evaluation factors which influence the oil reservoir development.
3. The quantitative evaluation method for the water-flooding development effect of the medium-permeability complex fault-block oil reservoir according to claim 1, wherein the method for establishing the evaluation grade membership degree capable of quantitatively evaluating the water-flooding development effect of the medium-permeability complex fault-block oil reservoir by utilizing the result of quantitatively superposing and synthesizing the evaluation factors which are screened out to influence the oil reservoir development comprises the following steps:
(1) Determining the actual value of 8 evaluation factors by using an oil reservoir engineering method according to the current state of oil reservoir development;
(2) According to the industry standard of oilfield development level classification, combining with the development characteristics of the medium-permeability complex fault block oil reservoir, determining the threshold range of five evaluation grades of each factor, namely good, better, medium, worse and worse;
(3) Determining the relation between the actual value of the evaluation factor and the threshold range by using membership functions of the evaluation factors and the threshold range of the evaluation level, and establishing a fuzzy relation matrix I of the actual value of the evaluation factor and the threshold range;
(4) According to a 'Sadi relative importance level table', establishing a quantitative matrix II of the mutual comparison relation of evaluation factors, determining the weight coefficient of each evaluation factor by a method for solving the characteristic vector of the matrix through the matrix II, and establishing an evaluation factor weight coefficient matrix III;
(5) And carrying out fuzzy synthesis on the weight coefficient matrix III and the fuzzy relation matrix I to obtain an evaluation grade membership matrix IV for target oil reservoir development.
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