CN112926893A - Horizontal well profile control effect evaluation method based on fuzzy comprehensive evaluation and hierarchical analysis - Google Patents
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Abstract
The invention discloses a horizontal well profile control effect evaluation method based on fuzzy comprehensive evaluation and hierarchical analysis, which belongs to the field of horizontal well water shutoff profile control. Calculating the membership degree of each factor in the factor set to the evaluation result according to the membership function, and constructing an evaluation matrix; analyzing the weight occupied by each factor in the judgment result by using an analytic hierarchy process to obtain a weight set; and acquiring the membership degree of the evaluation result to the evaluation grade based on a weighted average model, and determining the final comprehensive evaluation grade according to the maximum membership degree principle. The method solves the problems of diversified results and weak comprehensiveness of the existing horizontal well water shutoff profile control evaluation method.
Description
Technical Field
The invention belongs to the field of horizontal well water shutoff profile control, and discloses a horizontal well profile control effect evaluation method based on fuzzy comprehensive evaluation and hierarchical analysis.
Background
The chemical water shutoff profile control technology is an important means for improving the heterogeneity of an oil reservoir and improving the wave spread efficiency of injected water, thereby enhancing the water injection development effect of an oil field and improving the recovery ratio of the oil field. However, whether the chemical water shutoff profile control of the horizontal well takes effect or not is generally judged according to experience or is only analyzed and evaluated by depending on a certain index such as the distribution ratio of injected water or the water absorption index, and the evaluation method cannot comprehensively reflect the comparison change before and after the chemical water shutoff profile control of the horizontal well, is poor in comprehensiveness and relatively weak in persuasiveness. When multi-index evaluation is applied, evaluation results are diversified, an ideal reference effect cannot be achieved, and the design guidance effect on the later-stage development scheme of the horizontal well is weak.
As a practical and reliable evaluation method, in recent years, fuzzy comprehensive evaluation is widely used in various fields. The fuzzy comprehensive evaluation is a comprehensive, overall and comprehensive evaluation method for some object or object which is restricted and influenced by various factors based on the fuzzy mathematic membership theory. The hierarchical analysis can quantitatively research the factors, objects and concepts of qualitative description by a method of dividing a hierarchical structure, and can be used for analyzing and calculating the weight occupied by each influence factor in each comprehensive judgment, thereby reducing the weight set error caused by expert bias or uncertain factors of field experience. However, the evaluation of the water shutoff and profile control effect of the horizontal well in the current oil field is rarely combined with a fuzzy comprehensive evaluation method and an analytic hierarchy process, and a corresponding evaluation flow and an evaluation standard are not formed.
Therefore, aiming at the problems, the invention provides a horizontal well profile control effect evaluation method based on fuzzy comprehensive evaluation and hierarchical analysis.
Disclosure of Invention
The invention aims to: the method for evaluating the horizontal well profile control effect based on fuzzy comprehensive evaluation and hierarchical analysis is provided, and the problems of diversified results and poor comprehensiveness of the existing horizontal well water shutoff profile control evaluation method are solved.
The technical scheme adopted by the invention is as follows:
the horizontal well profile control effect evaluation method based on fuzzy comprehensive evaluation and hierarchical analysis comprises the following steps:
selecting injection pressure, water absorption index, Hall curve slope, water well profile control variation coefficient and water absorption profile homogeneity coefficient as a horizontal well water shutoff profile control effect evaluation index composition factor set, and classifying evaluation results in advance according to actual demands into four grades which are good in effect, common in effect and not good in effect to form a comment set;
calculating and analyzing the membership degree of each factor in the factor set to the evaluation result in the comment set according to the membership function, thereby constructing a judgment matrix;
analyzing the weight occupied by each factor in the judgment result by using an analytic hierarchy process to obtain a weight set;
based on a weighted average model, the evaluation indexes are balanced and considered according to the weight, the membership degree of the evaluation result to each evaluation grade is obtained, and the final comprehensive evaluation grade is determined according to the maximum membership degree principle.
Further, the injection pressure, the water absorption index, the Hall curve slope, the water well profile control variation coefficient and the water absorption profile homogeneity coefficient are selected as component factor sets of the horizontal well water shutoff and profile control effect evaluation indexes, and evaluation results are divided into four grades according to actual requirements to form a comment set, wherein the four grades comprise good effect, common effect and no effect. The method comprises the following steps:
according to the actual situation on site, the water plugging and profile control evaluation indexes, the injection pressure, the water absorption index, the Hall curve slope, the water well profile control variation coefficient and the water absorption profile homogeneity coefficient of the horizontal well with more applications and more complete data are selected. Since the evaluation of the five indicators of the water well affects the final overall evaluation result, the five indicators constitute a factor set by using the five indicators as five factors affecting the evaluation result, and U ═ is (U ═ is)1，u2，u3，u4，u5)；
According to the actual requirements on site and the selected index data characteristics, the evaluation result is divided into four grades which respectively have good effectHas good effect, common effect and no effect, thereby forming a comment set, wherein V is (V)1，v2，v3，v4)。
Further, the calculating and analyzing the membership degree of each factor in the factor set to the evaluation result in the evaluation set according to the membership function, so as to construct the evaluation matrix, comprising the following steps:
bringing the index value of a certain horizontal well into the corresponding membership function, thereby obtaining a certain index u with concentrated factorsiFor a certain rating v in the comment setjDegree of membership r ofij(0≤rij≤1)；
After the membership degree of each index to each evaluation grade is obtained, constructing a judgment matrix R based on the obtained membership degree;
further, the analyzing the weight occupied by each factor in the evaluation result by using an analytic hierarchy process to obtain a weight set, including:
leading-in criterion layer injection difficulty promotion C1Improvement of water absorption profile heterogeneity C1Using the evaluation result as the target layer, and using each evaluation index uiAs an index layer, thereby establishing a hierarchical structure; as shown in figure 1:
expressing the importance degree of one criterion layer to the accuracy of a target layer compared with the other criterion layer by using a numerical value to form a judgment matrix G, and expressing the importance degree of one index to the accuracy of the criterion layer compared with the other index by using a numerical value to form a judgment matrix C; the values are shown in table 1:
TABLE 1
In order to check whether the constructed judgment matrixes G and C have satisfactory consistency, carrying out level single-row sequencing and consistency check on the judgment matrixes;
and performing total hierarchical sequencing from the target layer to the index layer by layer, and simultaneously performing combination consistency check to verify the consistency of the total hierarchical sequencing result.
Further, in order to check whether the constructed judgment matrixes G and C have satisfactory consistency, the step of performing hierarchical single-sequencing on the judgment matrixes and checking the consistency thereof comprises the following steps:
firstly, the matrix is normalized according to rows and columns to obtain a characteristic vector Wf(f ═ 1,2,3) and the maximum eigenvalue λmax：
Where G is a decision matrix, WfIs a feature vector, n is the number of elements in the feature vector, omegaiFor each element in the feature vector.
And (3) carrying out consistency check by using the feature vector:
wherein C is a consistency index, R is a random consistency index, CRIn order to be a random consistency ratio,
the average value of the maximum eigenvalues of the multiple n-order random positive and negative matrixes is obtained.
If C is presentR<0.1, the consistency of the judgment matrix is considered to be acceptable, otherwise, the judgment matrix needs to be adjustedAnd (5) arraying.
Further, performing total hierarchical sequencing from the target layer to the index layer by layer, and simultaneously performing combined consistency check to verify the consistency of the total hierarchical sequencing results, wherein the steps comprise:
let a certain layer A contain A1,A2,A3,…,AmTheir weight with respect to the previous layer G is a1,a2,a3,…,am(ii) a The next layer B of which contains the element B1,B2,B3,…,BnWith respect to AiHas a weight of bi1,bi2,bi3,…,bin(ii) a Then B1,B2,B3,…,BnThe weight for G is c1,c2,c3,…,cn：
The method for checking the consistency of the total hierarchical ordering combination is the same as that of the single hierarchical ordering.
Furthermore, the balanced consideration of the evaluation indexes according to the weight based on the weighted average model, the acquisition of the membership degree of the evaluation result to each evaluation level, and the determination of the final comprehensive evaluation level by the maximum membership degree principle include:
and calculating an evaluation result by using the following weighted average model formula:
wherein W is a weight matrix, R is a judgment matrix,
to evaluate the results.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
1. a horizontal well profile control effect evaluation method based on fuzzy comprehensive evaluation and hierarchical analysis mainly comprises the steps of selecting an index composition factor set suitable for horizontal well water shutoff profile control effect evaluation, conducting grading on the water shutoff profile control effect according to actual field requirements to construct an evaluation set, then obtaining the membership degree of each factor to the evaluation set through a membership function, and constructing an evaluation matrix. And analyzing the weight occupied by each factor in the judgment result by using an analytic hierarchy process to obtain a weight set. And finally, based on a weighted average model, balancing and considering the evaluation indexes according to the weight, acquiring the membership degree of the evaluation result to each evaluation grade, and determining the final comprehensive evaluation grade according to the maximum membership degree principle. Compared with the existing evaluation method for the water plugging profile control effect of the horizontal well in the oil field, the method has less subjectivity participation, can evaluate without depending on expert experience, and simultaneously avoids the absolute and the local of single index evaluation and the diversity and the low reference of multi-index evaluation. Accurate and scientific basis and reasonable support are provided for adjustment of a horizontal well water shutoff profile control scheme, and the water driving degree of a high water-cut oil reservoir is improved.
2. The method is not only used for evaluating the water shutoff and profile control effect of the horizontal well in the X-region of the Changqing oil field, but also provides a specific evaluation flow and standard for evaluating the water shutoff and profile control effect of the horizontal well in other blocks, and the evaluation result can provide a guidance function for adjusting the subsequent water shutoff and profile control scheme of the horizontal well in the block.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and that for those skilled in the art, other relevant drawings can be obtained according to the drawings without inventive effort, wherein:
FIG. 1 is a flow chart of a horizontal well profile control effect evaluation method based on fuzzy comprehensive evaluation and hierarchical analysis;
fig. 2 is a hierarchical structure diagram of an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the detailed description and specific examples, while indicating the preferred embodiment of the invention, are intended for purposes of illustration only and are not intended to limit the scope of the invention. The components of embodiments of the present invention shown generally in the description herein may be arranged and designed in a wide variety of different configurations.
Thus, the detailed description of the embodiments of the present invention provided below is not intended to limit the scope of the invention as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
It is noted that relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The horizontal well profile control effect evaluation method based on fuzzy comprehensive evaluation and hierarchical analysis solves the problems of diversified results and weak comprehensiveness of the existing horizontal well water shutoff profile control evaluation method.
The horizontal well profile control effect evaluation method based on fuzzy comprehensive evaluation and hierarchical analysis comprises the following steps:
step 1: selecting injection pressure, water absorption index, Hall curve slope, water well profile control variation coefficient and water absorption profile homogeneity coefficient as a horizontal well water shutoff profile control effect evaluation index composition factor set, and classifying evaluation results in advance according to actual demands into four grades which are good in effect, common in effect and not good in effect to form a comment set;
step 2: calculating and analyzing the membership degree of each factor in the factor set to the evaluation result in the comment set according to the membership function, thereby constructing a judgment matrix;
and step 3: analyzing the weight occupied by each factor in the judgment result by using an analytic hierarchy process to obtain a weight set;
and 4, step 4: based on a weighted average model, the evaluation indexes are balanced and considered according to the weight, the membership degree of the evaluation result to each evaluation grade is obtained, and the final comprehensive evaluation grade is determined according to the maximum membership degree principle.
Compared with the existing evaluation method for the water plugging profile control effect of the horizontal well in the oil field, the method has less subjective participation, can evaluate without depending on expert experience, and simultaneously avoids the absolute and the local of single index evaluation and the diversity and the low reference of multi-index evaluation. Accurate and scientific basis and reasonable support are provided for adjustment of a horizontal well water shutoff profile control scheme, and the water driving degree of a high water-cut oil reservoir is improved.
The features and properties of the present invention are described in further detail below with reference to examples.
Examples
In the preferred embodiment of the invention, taking the XX horizontal well in the X area of the Changqing oil field as an example, the method for evaluating the profile control effect of the horizontal well based on fuzzy comprehensive evaluation and hierarchical analysis comprises the following steps:
step 1: selecting injection pressure, water absorption index, Hall curve slope, water well profile control variation coefficient and water absorption profile homogeneity coefficient as a horizontal well water shutoff profile control effect evaluation index composition factor set, and classifying evaluation results in advance according to actual demands into four grades which are good in effect, common in effect and not good in effect to form a comment set;
step 1.1: according to the actual situation on site, the water plugging and profile control evaluation indexes, the injection pressure, the water absorption index, the Hall curve slope, the water well profile control variation coefficient and the water absorption profile homogeneity coefficient of the horizontal well with more applications and more complete data are selected. Since the evaluation of the five indicators of the water well affects the final overall evaluation result, the five indicators constitute a factor set by using the five indicators as five factors affecting the evaluation result, and U ═ is (U ═ is)1，u2，u3，u4，u5)；
Step 1.2: according to the actual requirements on the site and the selected index data characteristics, the evaluation result is divided into four grades, namely good effect, common effect and no effect, so that a comment set is formed, wherein V is (V ═ m1，v2，v3，v4)。
Step 2: calculating and analyzing the membership degree of each factor in the factor set to the evaluation result in the comment set according to the membership function, thereby constructing a judgment matrix;
bringing the index value of a certain horizontal well into the corresponding membership function, thereby obtaining a certain index u with concentrated factorsiFor a certain rating v in the comment setjDegree of membership r ofij(0≤rij≤1)。
Injection pressure u1For comment vjThe membership functions of (a) are respectively:
water absorption index u2And Hall curve slope u3For comment vjThe membership functions of (a) are respectively:
water well profile control variation coefficient u4And the water absorption profile homogeneity coefficient u5For comment vjThe membership functions of (a) are respectively:
and after the membership degree of each index to each evaluation grade is obtained, constructing a judgment matrix R based on the obtained membership degree.
And step 3: analyzing the weight occupied by each factor in the judgment result by using an analytic hierarchy process to obtain a weight set;
step 3.1: leading-in criterion layer injection difficulty promotion C1Improvement of water absorption profile heterogeneity C1Using the evaluation result as the target layer, and using each evaluation index uiAs an index layer, thereby establishing a hierarchical structure as shown in fig. 1;
step 3.2: expressing the importance degree of one criterion layer to the accuracy of the target layer compared with the other criterion layer by using numerical values to form a judgment matrix G, and comparing one index with the other index to the criterion layerThe importance degree of the certainty is expressed by numerical values to form a judgment matrix C1And C2Values are shown in Table 1;
the importance judgment matrix G of the criterion layer relative to the target layer is as follows:
u1、u2、u3relative to C1Is C1，u4、u5Relative to C2Is C2：
Step 3.3: checking the constructed decision matrix G, C1And C2If the judgment matrix has satisfactory consistency, carrying out level single-row sequencing and consistency check on the judgment matrix;
the matrix G is normalized with rows and columns:
i.e. W1＝(0.75，0.25)TJudging the maximum eigenvalue of the matrix G:
λmax＝2
consistency index C is 0:
CR＜0.1
therefore, the weight for evaluation of profile control effect is considered to be (0.75, 0.25) for improvement of injection difficulty and improvement of water absorption profile heterogeneity.
Similarly, the matrix C is judged1Has a maximum eigenvalue of λmaxThe corresponding feature vector is 3.03:
W2＝(0.26，0.11，0.63)T，CR＜0.1
the weight of injection pressure, water absorption index, Hall curve slope, water well profile variation coefficient and water absorption profile homogeneity coefficient related to the increase of injection difficulty is (0.26, 0.11, 0.63, 0, 0).
Judgment matrix C2Has a maximum eigenvalue of λmaxThe corresponding feature vector is 2:
W3＝(0.75，0.25)T，CR＜0.1
decision matrix G, C1And C2All have satisfactory consistency. Therefore, the weight of the injection pressure, the water absorption index, the slope of the Hall curve, the profile variation coefficient of the water well and the homogeneity coefficient of the water absorption profile relative to the heterogeneity of the water absorption profile is (0, 0, 0, 0.75 and 0.25).
Step 3.4: and performing total hierarchical sequencing from the target layer to the index layer by layer, and simultaneously performing combination consistency check to verify the consistency of the total hierarchical sequencing result.
By the formula:
the following can be obtained:
CR＜0.1
the consistency of the combination is acceptable, from which it follows: the weight of the five indexes of injection pressure, water absorption index, Hall curve slope, water well profile variation coefficient and water absorption profile homogeneity coefficient in evaluating the effect of horizontal well chemical water shutoff profile control is W (0.195, 0.0825, 0.4725, 0.1875 and 0.0625).
And 4, step 4: based on a weighted average model, the evaluation indexes are balanced and taken into consideration according to the weight, the membership degree of the evaluation result to each evaluation grade is obtained, and the final comprehensive evaluation grade is determined according to the maximum membership degree principle;
applying a weighted average model formula:
the following can be obtained:
carrying out normalization treatment to obtain
According to the method, five horizontal well water shutoff and profile control effect evaluation indexes of injection pressure, water absorption index, Hall curve slope, water well profile control variation coefficient and water absorption profile homogeneity coefficient are comprehensively considered, the effect obtained by site horizontal well water shutoff and profile control is divided into four grades, the weight of each index on the horizontal well water shutoff and profile control effect evaluation result is determined by using an analytic hierarchy process, and the horizontal well water shutoff and profile control effect is comprehensively and comprehensively evaluated by using a weighted average model in fuzzy comprehensive evaluation, so that a specific evaluation flow and standard are provided for horizontal well water shutoff and profile control effect evaluation of other blocks of Changqing oil fields, and a guiding effect is provided for subsequent horizontal well water shutoff and profile control scheme adjustment of the blocks.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the scope of the present invention, and any modifications, equivalents and improvements made by those skilled in the art within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (7)
1. The horizontal well profile control effect evaluation method based on fuzzy comprehensive evaluation and hierarchical analysis is characterized by comprising the following steps of:
selecting injection pressure, water absorption index, Hall curve slope, water well profile control variation coefficient and water absorption profile homogeneity coefficient as a horizontal well water shutoff profile control effect evaluation index composition factor set, and classifying evaluation results in advance according to actual demands into four grades which are good in effect, common in effect and not good in effect to form a comment set;
calculating and analyzing the membership degree of each factor in the factor set to the evaluation result in the comment set according to the membership function, thereby constructing a judgment matrix;
and analyzing the weight occupied by each factor in the judgment result by using an analytic hierarchy process to obtain a weight set.
Based on a weighted average model, the evaluation indexes are balanced and considered according to the weight, the membership degree of the evaluation result to each evaluation grade is obtained, and the final comprehensive evaluation grade is determined according to the maximum membership degree principle.
2. The horizontal well profile control effect evaluation method based on fuzzy comprehensive evaluation and hierarchical analysis according to claim 1, characterized in that the injection pressure, the water absorption index, the Hall curve slope, the water well profile control variation coefficient and the water absorption profile homogeneity coefficient are selected as component factor sets of the horizontal well water shutoff profile control effect evaluation indexes, and the evaluation results are divided into four grades forming a comment set with good effect, general effect and no effect in advance according to actual needs, and the method comprises the following steps:
according to the actual situation on site, the water plugging and profile control evaluation indexes, the injection pressure, the water absorption index, the Hall curve slope, the water well profile control variation coefficient and the water absorption profile homogeneity coefficient of the horizontal well with more applications and more complete data are selected. Since the evaluation of the five indicators of the water well affects the final overall evaluation result, the five indicators constitute a factor set by using the five indicators as five factors affecting the evaluation result, and U ═ is (U ═ is)1，u2，u3，u4，u5)；
According to actual requirements and selected fingers on siteMarking data characteristics, dividing the evaluation result into four grades, namely good effect, common effect and no effect, thereby forming a comment set, wherein V is (V ═1，v2，v3，v4)。
3. The horizontal well profile control effect evaluation method based on fuzzy comprehensive evaluation and hierarchical analysis according to claim 1, wherein the step of performing computational analysis on the membership degree of each factor in the factor set to the evaluation result in the evaluation set according to the membership function so as to construct an evaluation matrix comprises the following steps:
bringing the index value of a certain horizontal well into the corresponding membership function, thereby obtaining a certain index u with concentrated factorsiFor a certain rating v in the comment setjDegree of membership r ofij(0≤rij≤1)；
And after the membership degree of each index to each evaluation grade is obtained, constructing a judgment matrix R based on the obtained membership degree.
4. The horizontal well profile control effect evaluation method based on fuzzy comprehensive evaluation and hierarchical analysis according to claim 1, wherein the step of analyzing the weight occupied by each factor in the evaluation result by using the hierarchical analysis method to obtain the weight set comprises the following steps:
leading-in criterion layer injection difficulty promotion C1Improvement of water absorption profile heterogeneity C1Using the evaluation result as the target layer, and using each evaluation index uiAs an index layer, thereby establishing a hierarchical structure, as shown in fig. 2;
the importance degree of one criterion layer to the accuracy of the target layer compared with the other criterion layer is represented by numerical values to form a judgment matrix G, the importance degree of one index to the accuracy of the criterion layer compared with the other index is represented by numerical values to form a judgment matrix C, and the value taking table 1 shows that:
TABLE 1
In order to check whether the constructed judgment matrixes G and C have satisfactory consistency, carrying out level single-row sequencing and consistency check on the judgment matrixes;
and performing total hierarchical sequencing from the target layer to the index layer by layer, and simultaneously performing combination consistency check to verify the consistency of the total hierarchical sequencing result.
5. The horizontal well profile control effect evaluation method based on fuzzy comprehensive evaluation and hierarchical analysis according to claim 4, characterized in that, in order to check whether the constructed judgment matrixes G and C have satisfactory consistency, the judgment matrixes are subjected to hierarchical single-sequencing and consistency check, and the method comprises the following steps:
firstly, the matrix is normalized according to rows and columns to obtain a characteristic vector Wf(f ═ 1,2,3) and the maximum eigenvalue λmax：
Where G is a decision matrix, WfIs a feature vector, n is the number of elements in the feature vector, omegaiFor each element in the feature vector;
and (3) carrying out consistency check by using the feature vector:
wherein C is a consistency index, R is a random consistency index, CRIn order to be a random consistency ratio,
the average value of the maximum eigenvalues of the n-order random forward and inverse matrixes is obtained;
if C is presentR<0.1, the consistency of the judgment matrix is considered to be acceptable, otherwise, the judgment matrix needs to be adjusted.
6. The horizontal well profile control effect evaluation method based on fuzzy comprehensive evaluation and hierarchical analysis according to claim 4, characterized by performing hierarchical total sorting layer by layer from a target layer to an index layer, simultaneously performing combination consistency check, and verifying consistency of a hierarchical total sorting result, wherein the method comprises the following steps:
let a certain layer A contain A1,A2,A3,…,AmTheir weight with respect to the previous layer G is a1,a2,a3,…,am(ii) a The next layer B of which contains the element B1,B2,B3,…,BnWith respect to AiHas a weight of bi1,bi2,bi3,…,bin(ii) a Then B1,B2,B3,…,BnThe weight for G is c1,c2,c3,…,cn：
The method for checking the consistency of the total hierarchical ordering combination is the same as that of the single hierarchical ordering.
7. The horizontal well profile control effect evaluation method based on fuzzy comprehensive evaluation and hierarchical analysis according to claim 1, characterized in that, based on a weighted average model, evaluation indexes are balanced and considered according to weight, the membership degree of an evaluation result to each evaluation grade is obtained, and a final comprehensive evaluation grade is determined by a maximum membership degree principle, wherein the weighted average model formula is as follows:
wherein W is a weight matrix, R is a judgment matrix,
as a result of the evaluation;
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| Application Number | Priority Date | Filing Date | Title |
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| CN115205063A (en) * | 2022-07-11 | 2022-10-18 | 江西绿萌科技控股有限公司 | Comprehensive fruit quality evaluation method based on sampling data and industrial standard |
| CN116151933A (en) * | 2023-04-18 | 2023-05-23 | 深圳市感恩网络科技有限公司 | International trade information data digital supervision system and method based on big data |
| CN117231211A (en) * | 2023-11-02 | 2023-12-15 | 大庆油田有限责任公司 | Method for identifying water inflow direction of horizontal well by comprehensive discrimination parameter method |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN114664387B (en) * | 2022-03-23 | 2024-03-19 | 西南石油大学 | Indoor evaluation method for chemical water shutoff performance of oil well based on cumulative effect |
| CN115205063A (en) * | 2022-07-11 | 2022-10-18 | 江西绿萌科技控股有限公司 | Comprehensive fruit quality evaluation method based on sampling data and industrial standard |
| CN116151933A (en) * | 2023-04-18 | 2023-05-23 | 深圳市感恩网络科技有限公司 | International trade information data digital supervision system and method based on big data |
| CN116151933B (en) * | 2023-04-18 | 2023-10-24 | 深圳市感恩网络科技有限公司 | International trade information data digital supervision system and method based on big data |
| CN117231211A (en) * | 2023-11-02 | 2023-12-15 | 大庆油田有限责任公司 | Method for identifying water inflow direction of horizontal well by comprehensive discrimination parameter method |
| CN117231211B (en) * | 2023-11-02 | 2024-03-26 | 大庆油田有限责任公司 | Method for identifying water inflow direction of horizontal well by comprehensive discrimination parameter method |
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