CN111882210A - Gas field overall layout evaluation method based on multi-level fuzzy comprehensive evaluation - Google Patents

Gas field overall layout evaluation method based on multi-level fuzzy comprehensive evaluation Download PDF

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CN111882210A
CN111882210A CN202010729920.2A CN202010729920A CN111882210A CN 111882210 A CN111882210 A CN 111882210A CN 202010729920 A CN202010729920 A CN 202010729920A CN 111882210 A CN111882210 A CN 111882210A
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何鹏
梁裕如
易冬蕊
张成斌
韩建红
胡耀强
刘婷婷
杨朝锋
李鹤
艾昕宇
于勇斌
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Shaanxi Yanchang Petroleum Group Co Ltd
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Abstract

The invention discloses a gas field overall layout evaluation method based on multi-level fuzzy comprehensive evaluation, which comprises the following steps of: firstly, taking technical economy, supportable conditions and safe production as a primary index, refining each primary level index into a secondary index, and establishing a multi-level analysis evaluation index system; secondly, determining the weight of each secondary index by using an AHP analytic hierarchy process; thirdly, constructing an evaluation index matrix; carrying out standardization processing on the evaluation index matrix to obtain a fuzzy relative membership matrix R; and (V) introducing the weight of the secondary indexes into fuzzy comprehensive evaluation calculation, calculating the relative membership degree of each scheme, and finally determining the optimal scheme of the gas field overall layout according to the maximum membership degree principle. The evaluation method has objectivity and provides a certain theoretical basis for the comparison and selection of the gas field overall layout scheme.

Description

Gas field overall layout evaluation method based on multi-level fuzzy comprehensive evaluation
Technical Field
The invention belongs to the field of gas field overall layout, and particularly relates to a gas field overall layout evaluation method based on multi-level fuzzy comprehensive evaluation.
Background
The overall layout of the gas field mainly refers to the routing of natural gas purification plant sites, gas gathering station sites and corresponding pipelines in the development process of the gas field.
The plant site of the natural gas purification plant and the station site of the gas gathering station follow the following selection principle: (1) the method is in accordance with the overall construction plan of the gas field ground and is suitable for being close to a gas source; (2) the method is reasonably determined according to the trends of a feed gas collection trunk line and a purified natural gas conveying pipeline; (3) selecting a section with good atmospheric diffusion conditions to avoid a wind-nest section; (4) towns, industrial and mining enterprises and densely populated areas should be avoided as much as possible, and the requirements of town planning, environmental protection and fire safety should be met; (5) the method is applied to a convenient traffic section, and the conditions of nearby dependence are considered, including traffic, water sources, electric power, telecommunication, heating, living conditions, fire fighting and the like.
The pipeline routing should follow the following selection principle: (1) the line trend is straight and smooth, so that steel is saved and investment is reduced; (2) the existing railway and highway are approached or utilized as much as possible, so that the pipeline construction and maintenance management are facilitated; (3) avoiding the geological section with larger construction difficulty and bad engineering as much as possible to ensure the reliable and safe operation of the pipeline, and when the difficulty is certain, selecting a proper position and a proper mode to pass and adopting corresponding engineering measures; (4) the large and medium-sized crossing positions are selected to meet the overall trend of the line, and the local trend of the large and medium-sized crossing positions is adjusted according to the actual situation, so that the engineering quantity and the construction difficulty of the crossing section are reduced as much as possible; (5) the route is coordinated with local urban planning, mineral resources, railway and highway planning construction, and dense population areas are avoided as much as possible; when the escape cannot be avoided due to special reasons, the design is strictly carried out according to the requirements of gas transmission pipeline engineering design specifications on regional grade division, and the requirements of development and planning of cities, towns and industrial and mining enterprise areas are fully considered; (6) avoiding the economic crop areas and important farmland infrastructure as much as possible; (7) important military facilities, flammable and explosive warehouses and safety protection areas of national key cultural relic protection units are avoided; (8) avoiding the water source protection area and the national level scenic spot area of the city.
The natural gas purification plant site, the gas gathering station site and the corresponding pipeline routes thereof have the optimization problem of the gas field overall layout scheme because various gas field overall layout schemes can exist in the selection process. The overall gas field layout scheme is preferably a multi-constraint and multi-objective comprehensive optimization problem, which involves many factors, and each objective is mutually restricted, one objective is often optimized at the cost of deterioration of other objectives, and meanwhile, the realization of the multi-objective optimal value is unrealistic, and often, compromise treatment is needed to be coordinated, so that each sub-objective is as optimal as possible. At present, the selection of the gas field overall layout scheme is mainly based on single factor index analysis, and one or more factor indexes in the overall layout scheme are usually concerned. The method has the defects of incomplete consideration, lack of objective and unified evaluation standard and strong subjectivity. The traditional comparison scheme has various limitations and cannot comprehensively evaluate the quality of the layout scheme, so that the optimal method which can comprehensively consider all factors in the layout scheme has very important engineering practice value.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a gas field overall layout evaluation method based on multi-level fuzzy comprehensive evaluation, which considers factors in each scheme and finally determines the gas field overall layout according to the maximum membership principle, and has strong practicability.
A gas field overall layout evaluation method based on multi-level fuzzy comprehensive evaluation comprises the following steps:
determining a multi-level analysis evaluation index system:
taking technical and economic indexes, supportable conditions and safe production indexes as 3 first-level indexes; then subdividing the 3 primary indexes into a plurality of secondary indexes respectively; the technical and economic indexes comprise 5 secondary indexes of operation pressure, gas collection radius, pressure loss, gas flow direction and investment; the supportable conditions comprise electric power/communication availability degree, traffic convenience and terrain support of 3 secondary indexes; the safety production indexes comprise 3 secondary indexes of the distance of the liquid-carrying pipeline, the population density of the periphery and natural conditions;
secondly, determining the weight of each secondary index by using an AHP analytic hierarchy process;
determining the evaluation basis of each secondary index, and constructing an evaluation index matrix, wherein the evaluation index matrix is formed by specific values of the secondary indexes contained in each overall layout scheme forming the alternative, and the evaluation basis of the secondary indexes is as follows:
Figure BDA0002602909710000021
and (IV) carrying out standardization processing on the evaluation index matrix constructed in the step (III) by adopting a translation-range transformation method, wherein the larger the benefit index value is, the more the scheme is, the more the benefit formula is adopted for calculation, the smaller the cost index value is, the more the scheme is, the more the cost formula is adopted for calculation, the calculation formula is shown as a formula (1), and a fuzzy relative membership matrix R is obtained,
Figure BDA0002602909710000031
in formula (1), P ═ 1;
xijthe index of the ith term of the scheme j, i is 1,2, …, m;
rijthe relative dominance of the scheme j to the target i;
ximin,ximaxthe minimum value and the maximum value of each column of data in the matrix are obtained;
introducing the weight obtained by the calculation in the step (II) into fuzzy comprehensive evaluation calculation, calculating the relative membership degree of each scheme by adopting an equation (2),
Figure BDA0002602909710000032
wherein, ω isiTarget weight vector as index i;
ujis the relative membership value of the scheme j;
m and P are the same as formula (1);
and finally determining the optimal scheme of the gas field overall layout according to the maximum membership principle.
Preferably, the second step of determining the weight of each index by using an AHP analytic hierarchy process is as follows;
(21) constructing a judgment matrix X: the first-level index and the second-level index are sorted according to importance, the first-level index and the second-level index are compared pairwise according to different importance of different indexes, a judgment matrix is respectively established, numbers 1-9 and reciprocal thereof are taken as scales, the larger the number is, the stronger the comparison importance of the two factors is, a matrix X is established as a formula (3),
X=(xij)n×nsatisfy xij>0,xji=1/xij,,xii1(i, j ═ 1,2, …, n) (formula 3)
In the formula (3), xijFor the importance of contrast among different indexes, X represents any judgment matrix;
(22) calculating eigenvalues and eigenvectors: solving the maximum characteristic root of the judgment matrix and the maximum characteristic vector corresponding to the maximum characteristic root by adopting a sum-product method, wherein the maximum characteristic root of the first-level index judgment matrix and the maximum characteristic vector corresponding to the maximum characteristic root are respectively
Figure BDA0002602909710000033
And ω1(ii) a The maximum characteristic root of the secondary index judgment matrix is respectively
Figure BDA0002602909710000034
The maximum eigenvectors corresponding thereto are respectively
Figure BDA0002602909710000035
Figure BDA0002602909710000036
(23) And (3) checking consistency:
calculating a consistency index CI by adopting a formula (4), judging whether the consistency index of the matrix is acceptable or not, judging that the consistency of the matrix is acceptable when CR is less than 0.1, judging that the matrix does not meet the requirement when CR is more than or equal to 1, and revising the judgment matrix;
Figure BDA0002602909710000041
Figure BDA0002602909710000042
in the formula, n is the order of the judgment matrix;
λmaxis the maximum eigenvalue;
RI is an average random consistency index;
CR is a consistency ratio;
(24) and (3) overall hierarchical ordering:
multiplying a diagonal matrix formed by the maximum characteristic vectors of the secondary index judgment matrix with the maximum characteristic vector of the primary index judgment matrix to obtain a weight vector of the secondary index, and calculating the weight vector in the formula (6);
Figure BDA0002602909710000043
the importance of the secondary indexes is sorted according to the value of the weight vector of the secondary indexes; the weight vector of the secondary index reflects the importance of the secondary index, and the larger the value is, the more important the represented secondary index is.
Preferably, the primary index and the secondary index in step (21) are sorted according to importance as follows:
the primary index importance ranking is: technical and economic indexes > safe production indexes > supportable conditions;
the importance of the secondary indexes in the technical and economic indexes is ranked as follows: investment > operating pressure > pressure loss > gas flow direction > gas collection radius;
the importance of the secondary indexes in the safety production indexes is ranked as follows: terrain support > traffic convenience > electric power/communication availability degree; the supportable condition indexes have the following secondary index importance sequence: distance with liquid pipeline > perimeter population density > natural conditions.
Preferably, the re-correcting mode is as follows: and judging whether the importance ordering of the indexes in each judgment matrix is reasonable or not and whether the scales of the importance of every two indexes are reasonable or not.
The invention has the advantages that:
the method provided by the invention comprises the steps of establishing a multi-level analysis system, calculating the weight coefficient of each secondary index by an AHP analytic hierarchy process, finally adopting a fuzzy comprehensive evaluation method to establish an evaluation matrix, calculating the membership degree of each scheme to be adopted by combining the weight coefficients of the secondary indexes, and determining the optimal overall layout scheme according to the maximum membership degree principle, wherein the evaluation method has objectivity and provides a certain theoretical basis for comparing and selecting the overall layout schemes of gas fields at home and abroad.
Drawings
FIG. 1 is a schematic diagram of the evaluation method of the present invention;
FIG. 2 is a schematic diagram of a multi-level analysis evaluation index system;
FIG. 3 is a schematic view of scheme 1;
FIG. 4 is a schematic view of scheme 2;
FIG. 5 is a schematic view of scheme 3.
Detailed Description
Example 1
The technical method of the invention will be described in detail in the following with reference to the accompanying drawings.
The invention takes the general layout of a certain block of the Yanan gas field as an example, and explains how to select the general layout of the gas field by using the method provided by the invention.
Firstly, a gas field overall layout scheme is designed by combining basic guiding principles of natural gas purification plant sites, gas gathering station sites and pipeline route selection and actual engineering conditions, the blocks of the embodiment totally comprise three sets of layout schemes, and fig. 3, 4 and 5 are schematic diagrams of different layout schemes respectively, and the specific scheme is as follows:
scheme 1, newly building 1 purification plant in the southern part of the Yangtze mountain, 6 gas collecting stations, 447.43km of gas production pipeline, 102.22km of gas collecting pipeline, 28.54km of alcohol injection pipeline and 347.05km of fuel gas pipeline. Wherein the purification plant is positioned at about 19km west side of the well area, the terrain is flat, the traffic is convenient, the land property meets the requirements, and the overall line layout is inclined to users at the end station;
scheme 2, newly building 1 purification plant in the southern Yangshan, 6 gas collecting stations, 408.68km gas production pipeline, 112.22km gas collecting pipeline, 28.54km alcohol injection pipeline and 381.86km fuel gas pipeline. Wherein the purification plant is located east of the whole well zone, substantially centrally. The distance from the gas collecting station to the pipeline of the purification plant is short, the operating pressure of the gas collecting station is low, and the outward pipeline is longest;
scheme 3, a gas collecting station 6 seat is newly built by relying on a Qingyang turnout purification plant built outside a well, and the gas collecting pipeline is 447.43km, the gas collecting pipeline is 170.1km, the alcohol injection pipeline is 28.54km, and the fuel gas pipeline is 347.05 km.
Secondly, the method provided by the invention is used for evaluating three schemes, and the flow schematic diagram is shown in figure 1.
Determining a multi-level analysis evaluation index system:
evaluating the three schemes, selecting common indexes required by multi-level analysis, layering the indexes, and establishing a multi-level analysis system, as shown in fig. 2, the division into two layers is mainly used for avoiding weight dispersion caused by excessive indexes in one layer;
taking technical and economic indexes, supportable conditions and safe production indexes as 3 first-level indexes; then subdividing the 3 primary indexes into a plurality of secondary indexes respectively;
the technical and economic indexes comprise 5 secondary indexes of operation pressure, gas collection radius, pressure loss, gas flow direction and investment; the supportable conditions comprise electric power/communication availability degree, traffic convenience and terrain support of 3 secondary indexes;
the safety production indexes comprise 3 secondary indexes of liquid-carrying pipeline distance, peripheral population density and natural conditions.
(II) determining the weight of each secondary index by using an AHP analytic hierarchy process:
(21) constructing a judgment matrix X: the first-level index and the second-level index are sorted according to importance, the first-level index and the second-level index are compared pairwise according to different importance of different indexes, a judgment matrix is respectively established, numbers 1-9 and reciprocal thereof are taken as scales, the larger the number is, the stronger the comparison importance of the two factors is, a matrix X is established as a formula (3),
X=(xij)n×nsatisfy xij>0,xji=1/xij,,xii1(i, j ═ 1,2, …, n) (formula 3)
In the formula (3), xijFor the importance of contrast among different indexes, X represents any judgment matrix;
TABLE 1 evaluation criteria of importance Scale
Figure BDA0002602909710000061
The primary index importance ranking is: the technical and economic index B1, the safety production index B3 and the supportable condition B2 are as follows, and the first-level index judgment matrix is as follows:
Figure BDA0002602909710000062
the importance ranking of the secondary indexes is as follows:
in the technical and economic indexes, the investment is considered as an important parameter of the overall layout of the gas field, the lower the investment is, the more convenient the overall layout is to implement, the most important weight index is taken, and the importance of secondary indexes in the technical and economic indexes is ranked: investment C5, operating pressure C1, pressure loss C3, gas flow C4, gas collection radius C2 and secondary index judgment matrix
Figure BDA0002602909710000063
The importance of condition indexes can be ranked: landform support C8, traffic convenience C7, availability degree C6 of power/communication and the like, and secondary index judgment matrix
Figure BDA0002602909710000071
Sorting the importance of safety production indexes: distance with liquid pipeline C9, peripheral population density C10, natural condition C11 and secondary index judgment matrix
Figure BDA0002602909710000072
(22) Calculating eigenvalues and eigenvectors: solving the maximum characteristic root of the judgment matrix and the maximum characteristic vector corresponding to the maximum characteristic root by adopting a sum-product method, wherein the maximum characteristic root of the first-level index judgment matrix and the maximum characteristic vector corresponding to the maximum characteristic root are respectively
Figure BDA0002602909710000073
And ω1(ii) a The maximum characteristic root of the secondary index judgment matrix is respectively
Figure BDA0002602909710000074
The maximum eigenvectors corresponding thereto are respectively
Figure BDA0002602909710000075
Calculating the maximum eigenvalue of the primary index matrix A
Figure BDA0002602909710000076
Maximum eigenvector is ω1=(05396,0.1634, 0.2970); maximum eigenvalue of the secondary index matrix B1
Figure BDA0002602909710000077
Maximum eigenvector
Figure BDA0002602909710000078
Figure BDA0002602909710000079
Maximum eigenvalue of B2 secondary matrix index
Figure BDA00026029097100000710
Maximum eigenvector
Figure BDA00026029097100000711
Maximum eigenvalue of B3 secondary matrix index
Figure BDA00026029097100000712
Maximum eigenvector
Figure BDA00026029097100000713
(23) And (3) checking consistency:
calculating a consistency index CI by adopting a formula (4), judging whether the consistency index of the matrix is acceptable or not, judging that the consistency of the matrix is acceptable when CR is less than 0.1, judging that the matrix does not meet the requirement when CR is more than or equal to 1, and revising the judgment matrix;
Figure BDA00026029097100000714
Figure BDA00026029097100000715
in the formula, n is the order of the judgment matrix;
λmaxis the maximum eigenvalue;
RI is an average random consistency index;
CR is a consistency ratio;
the consistency ratio CR of the matrix A is checked by consistency10.0089, uniformity ratio of matrix B1
Figure BDA0002602909710000081
Consistency ratio of matrix B2
Figure BDA0002602909710000082
Consistency ratio of matrix B3
Figure BDA0002602909710000083
Are all less than 0.1, and the consistency test is acceptable.
(24) And (3) overall hierarchical ordering:
weight vector of secondary index
Figure BDA0002602909710000084
The importance of the secondary indexes is sorted according to the value of the weight vector of the secondary indexes, and the importance of the secondary indexes is sequentially from high to low: investment, distance of pipelines with liquid, running pressure, pressure loss, population density around, terrain support, natural conditions, gas collection radius, gas flow direction, traffic convenience and electric power/communication availability; the weight vector of the secondary index reflects the importance of the secondary index, and the larger the value is, the more important the represented secondary index is;
the weights of the secondary indices are shown in table 2.
TABLE 2 weights of the second level indicators
Figure BDA0002602909710000085
Determining the evaluation basis of each secondary index, and constructing an evaluation index matrix, wherein the evaluation index matrix is formed by specific values of the secondary indexes contained in each overall layout scheme forming the alternative, and the evaluation basis of the secondary indexes is as follows:
Figure BDA0002602909710000091
specific values of each secondary index in the schemes 1,2 and 3 are shown in a table 3;
TABLE 3 concrete values of the second-level indices
Figure BDA0002602909710000092
The gas field overall layout evaluation index matrix formed by the specific values of the secondary indexes in the schemes 1,2 and 3 is as follows:
Figure BDA0002602909710000093
fourthly, in order to eliminate the influence of different physical dimensions and increase the contrast of results, the evaluation index matrix constructed in the third step is standardized by a translation-range transformation method, the higher the benefit index value is, the better the scheme is, the benefit formula is adopted for calculation, the lower the cost index value is, the better the scheme is, the cost formula is adopted for calculation, the formula is shown in the formula (1), the fuzzy relative membership matrix R is obtained,
Figure BDA0002602909710000094
in formula (1), P ═ 1;
xijthe index of the ith term of the scheme j, i is 1,2, …, m;
rijthe relative dominance of the scheme j to the target i;
ximin,ximaxthe minimum value and the maximum value of each column of data in the matrix are obtained;
is calculated to obtain
Figure BDA0002602909710000101
And (V) considering the different influences of different indexes on the final optimal scheme, introducing the weight obtained by calculation in the step (II) into fuzzy comprehensive evaluation calculation, calculating the relative membership degree of each scheme by adopting an equation (2),
Figure BDA0002602909710000102
in the formula, ωiTarget weight vector as index i;
ujis the relative membership value of the scheme j;
m and P are the same as formula (1);
the relative membership degree of each scheme is shown in a table 4;
TABLE 4 relative membership values for each case
Name of scheme Scheme 1 Scheme 2 Scheme 3
Degree of membership 0.7495 0.334 0.560995
According to the principle of maximum membership degree, the scheme 1 is the optimal scheme.

Claims (4)

1. A gas field overall layout evaluation method based on multi-level fuzzy comprehensive evaluation is characterized by comprising the following steps: the method comprises the following steps:
determining a multi-level analysis evaluation index system:
taking technical and economic indexes, supportable conditions and safe production indexes as 3 first-level indexes; then subdividing the 3 primary indexes into a plurality of secondary indexes respectively; the technical and economic indexes comprise 5 secondary indexes of operation pressure, gas collection radius, pressure loss, gas flow direction and investment; the supportable conditions comprise electric power/communication availability degree, traffic convenience and terrain support of 3 secondary indexes; the safety production indexes comprise 3 secondary indexes of the distance of the liquid-carrying pipeline, the population density of the periphery and natural conditions;
secondly, determining the weight of each secondary index by using an AHP analytic hierarchy process;
determining the evaluation basis of each secondary index, and constructing an evaluation index matrix, wherein the evaluation index matrix is formed by specific values of the secondary indexes contained in each overall layout scheme forming the alternative, and the evaluation basis of the secondary indexes is as follows:
Figure FDA0002602909700000011
and (IV) carrying out standardization processing on the evaluation index matrix constructed in the step (III) by adopting a translation-range transformation method, wherein the larger the benefit index value is, the more the scheme is, the more the benefit formula is adopted for calculation, the smaller the cost index value is, the more the scheme is, the more the cost formula is adopted for calculation, the calculation formula is shown as a formula (1), and a fuzzy relative membership matrix R is obtained,
Figure FDA0002602909700000012
in formula (1), P ═ 1;
xijthe index of the ith term of the scheme j, i is 1,2, …, m;
rijthe relative dominance of the scheme j to the target i;
ximin,ximaxthe minimum value and the maximum value of each column of data in the matrix are obtained;
introducing the weight obtained by the calculation in the step (II) into fuzzy comprehensive evaluation calculation, calculating the relative membership degree of each scheme by adopting an equation (2),
Figure FDA0002602909700000021
wherein, ω isiTarget weight vector as index i;
ujis the relative membership value of the scheme j;
m and P are the same as formula (1);
and finally determining the optimal scheme of the gas field overall layout according to the maximum membership principle.
2. The gas field overall layout evaluation method based on multilevel fuzzy comprehensive evaluation according to claim 1, characterized in that:
determining the weight of each index by using an AHP analytic hierarchy process in the step (II) specifically as follows;
(21) constructing a judgment matrix X: the first-level index and the second-level index are sorted according to importance, the first-level index and the second-level index are compared pairwise according to different importance of different indexes, a judgment matrix is respectively established, numbers 1-9 and reciprocal thereof are taken as scales, the larger the number is, the stronger the comparison importance of the two factors is, a matrix X is established as a formula (3),
X=(xij)n×nsatisfy xij>0,xji=1/xij,,xii1(i, j ═ 1,2, …, n) (formula 3)
In the formula (3), xijFor the importance of contrast among different indexes, X represents any judgment matrix;
(22) calculating eigenvalues and eigenvectors: solving the maximum characteristic root of the judgment matrix and the maximum characteristic vector corresponding to the maximum characteristic root by adopting a sum-product method, wherein the maximum characteristic root of the first-level index judgment matrix and the maximum characteristic vector corresponding to the maximum characteristic root are respectively
Figure FDA0002602909700000022
And ω1(ii) a The maximum characteristic root of the secondary index judgment matrix is respectively
Figure FDA0002602909700000023
The maximum eigenvectors corresponding thereto are respectively
Figure FDA0002602909700000024
(23) And (3) checking consistency:
calculating a consistency index CI by adopting a formula (4), judging whether the consistency index of the matrix is acceptable or not, judging that the consistency of the matrix is acceptable when CR is less than 0.1, judging that the matrix does not meet the requirement when CR is more than or equal to 1, and revising the judgment matrix;
Figure FDA0002602909700000031
Figure FDA0002602909700000032
in the formula, n is the order of the judgment matrix;
λmaxis the maximum eigenvalue;
RI is an average random consistency index;
CR is a consistency ratio;
(24) and (3) overall hierarchical ordering:
multiplying a diagonal matrix formed by the maximum characteristic vectors of the secondary index judgment matrix with the maximum characteristic vector of the primary index judgment matrix to obtain a weight vector of the secondary index, and calculating the weight vector in the formula (6);
Figure FDA0002602909700000033
and the importance of the secondary indexes is sorted according to the value of the weight vector of the secondary indexes.
3. The gas field overall layout evaluation method based on multilevel fuzzy comprehensive evaluation according to claim 2, characterized in that: the primary index and the secondary index in the step (21) are sorted according to importance as follows:
the primary index importance ranking is: technical and economic indexes > safe production indexes > supportable conditions;
the importance of the secondary indexes in the technical and economic indexes is ranked as follows: investment > operating pressure > pressure loss > gas flow direction > gas collection radius;
the importance of the secondary indexes in the safety production indexes is ranked as follows: terrain support > traffic convenience > electric power/communication availability degree;
the supportable condition indexes have the following secondary index importance sequence: distance with liquid pipeline > perimeter population density > natural conditions.
4. The gas field overall layout evaluation method based on multilevel fuzzy comprehensive evaluation according to claim 2, characterized in that: the re-correction mode is as follows: and judging whether the importance ordering of the indexes in each judgment matrix is reasonable or not and whether the scales of the importance of every two indexes are reasonable or not.
CN202010729920.2A 2020-07-27 2020-07-27 Gas field overall layout evaluation method based on multi-level fuzzy comprehensive evaluation Pending CN111882210A (en)

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