A shale gas ground gathering system adaptability evaluation method and device, computer equipment and storage medium

Abstract

This invention discloses a method for evaluating the adaptability of shale gas surface gathering and transportation systems. The method includes the following steps: establishing an adaptability evaluation index system for shale gas surface gathering and transportation systems, with three levels of indicators; determining the weights of the adaptability evaluation indicators, establishing a scaling table based on the importance of the indicators, and scoring the ratio of two indicators according to the scaling table; evaluating the system based on the established adaptability evaluation index system and its weight values; evaluating the adaptability of each pipeline and compressor in the completed adaptability evaluation system indicators, and establishing an adaptability level value table; and scoring according to the adaptability level. This invention can comprehensively and systematically evaluate the adaptability of shale gas surface gathering and transportation systems, improving the overall adaptability of the system.

Description

Technical Field

[0001] This invention relates to a method for evaluating the adaptability of a gathering and transportation system, and particularly to a method, apparatus, computer equipment, and storage medium for evaluating the adaptability of a shale gas surface gathering and transportation system. Background Technology

[0002] With the continuous increase in the construction mileage of shale gas pipelines, compressors have adopted multi-stage pressurization modes. Increased operating loads on some pipelines have led to gathering and transportation bottlenecks. Furthermore, the pressurization capacity of some compressors is not well-matched with production output, and the processing capacity of downstream centralized pressurization stations is limited. To overcome these bottlenecks and improve the efficiency of pipelines and pressurization equipment, it is urgent to analyze and optimize the adaptability of well area gathering and transportation systems. Therefore, it is necessary to construct an overall operational adaptability evaluation index system for shale gas surface gathering and transportation systems, establish adaptability evaluation methods, and conduct an overall adaptability evaluation of shale gas surface gathering and transportation systems.

[0003] Previous evaluation systems primarily focused on the adaptability of conventional natural gas and coalbed methane gathering and transportation systems, with limited evaluations specifically for shale gas. Currently, only one Chinese patent document, published on March 12, 2021 (publication number CN112927099A), offers a comprehensive and systematic evaluation index system tailored to the unique characteristics of shale gas development. These indicators cover both the gathering and transportation pipeline network and the pressurization process, considering various challenges and problems that may arise during shale gas development, thus providing a scientific basis and methodology for evaluating the adaptability of shale gas surface gathering and transportation systems.

[0004] When studying the adaptability evaluation indicators of shale gas gathering and transportation systems, the following indicators were mainly selected based on the characteristics of the system's operation and processes: the magnitude of pipeline pressure fluctuations, pipeline design parameters, and temperature variations along the pipeline. However, the selection and determination of adaptability evaluation indicators for shale gas gathering and transportation systems still have shortcomings, failing to consider the influencing factors of system design, operation, and maintenance as a whole.

[0005] Therefore, there is an urgent need to conduct in-depth research on the adaptability evaluation indicators of gathering and transportation systems to make them more comprehensive and complete. Current improvements to gathering and transportation systems are mainly based on experience, lacking evaluation methods for the overall adaptability of shale gas surface gathering and transportation systems. Summary of the Invention

[0006] To address the shortcomings of the existing technology, this invention provides a method, apparatus, computer equipment, and storage medium for evaluating the adaptability of shale gas surface gathering and transportation systems, which can comprehensively and systematically evaluate the adaptability of such systems.

[0007] To address the aforementioned technical problems, this invention provides a method for evaluating the adaptability of shale gas surface gathering and transportation systems, comprising the following steps: S1. Establish an adaptability evaluation index system for shale gas surface gathering and transportation systems. Three levels of indicators are established for pipelines and compressors: Level 1 indicators include pipeline adaptability and compressor adaptability; Level 2 indicators include pipeline stable operation, pipeline operating efficiency, pipeline operating safety, compressor stable operation, compressor operating efficiency, and compressor operating safety; Level 3 indicators include pipeline temperature fluctuation, pipeline pressure fluctuation, pipeline flow fluctuation, pipeline transportation efficiency, pipeline stress state, pipeline safety state, compressor operating pressure, compressor operating temperature, compressor compression efficiency, and compressor downtime failure rate. S2. Determine the weights of the adaptability evaluation indicators for shale gas surface gathering and transportation systems, and establish a scaling table based on the importance of the evaluation indicators; S3. Score the ratio of the two indicators according to the scaling table; S4. Evaluate the adaptability of the shale gas surface gathering and transportation system based on the established evaluation index system and its weight values. S5. Conduct an adaptability evaluation for each pipeline and compressor in the completed adaptability evaluation system indicators, and establish an adaptability level value table. S6. Score according to the degree of adaptability.

[0008] Furthermore, the pipeline's three-level indicators are: Pipeline temperature fluctuation adaptability evaluation: Fully adaptable: temperature fluctuation <10%; Moderately adaptable: 10% < temperature fluctuation <40%; Poor adaptability: temperature fluctuation >40%. Pipeline pressure fluctuation adaptability evaluation: Fully adaptable: pressure fluctuation amplitude <10%; Moderately adaptable: 10% < pressure fluctuation amplitude <40%; Poor adaptability: pressure fluctuation amplitude >40%. Pipeline flow fluctuation adaptability evaluation: Fully adaptable: flow fluctuation <10%; Moderately adaptable: 10% < flow fluctuation <40%; Poor adaptability: flow fluctuation >40%. Pipeline transport efficiency adaptability evaluation: Fully adaptable: >90%, Generally adaptable: 90%-70%, Poor adaptability: <70%; Pipeline stress state adaptability evaluation, fully adaptable: max(|σ L |,|σ h -σ L |)≤0.6σ s Generally adaptable to: 0.6σ s <max(|σ L |,|σ h -σ L |)<0.8σ s Poor adaptability: max(|σ L |,|σ h -σ L|)≥0.8σ s , where σ L For axial stress, σ h For circumferential stress, σ s Minimum yield strength; The pipeline safety status adaptability evaluation includes the pipeline safety factor, which is the ratio of the maximum pressure the pipeline can withstand to the working pressure when subjected to the maximum working pressure. Fully adaptable: safety factor ≥ 1.20; moderately adaptable: 1.10 ≤ safety factor ≤ 1.20; poorly adaptable: 1.00 ≤ safety factor ≤ 1.10. It also includes the pipeline service life, which is determined using a failure rate curve to establish a critical value. Fully adaptable: 5 years < service life < 10 years; moderately adaptable: 10 years ≤ service life < 25 years; poorly adaptable: service life ≥ 25 years or service life ≤ 5 years.

[0009] Furthermore, the compressor's third-level performance indicators are: Compressor operating pressure adaptability evaluation: Fully adaptable: pressure fluctuation <10%; Generally adaptable: 10% < pressure fluctuation <40%; Poor adaptability: pressure fluctuation >40%. The operating temperature adaptability evaluation of the compressor is as follows: fully adaptable: temperature fluctuation <10%; moderately adaptable: 10% < temperature fluctuation <40%; poor adaptability: temperature fluctuation >40%. Compressor compression efficiency adaptability evaluation: Fully adaptable: >85%, Generally adaptable: 85%-75%, Poor adaptability: <75%; Compressor downtime failure rate adaptability evaluation: the proportion of compressor downtime to operating time. Fully adaptable: downtime failure rate <10%; moderately adaptable: 10% < downtime failure rate <20%; poor adaptability: downtime failure rate >20%.

[0010] Furthermore, the pipeline temperature fluctuation adaptability evaluation, pipeline pressure fluctuation adaptability evaluation, and pipeline flow fluctuation adaptability evaluation are obtained by using 12 hours of temperature data, pressure data, and flow data along the pipeline to obtain the corresponding pipeline temperature, pressure fluctuation, and flow change conditions and trends.

[0011] Furthermore, the compressor's operating pressure adaptability evaluation includes evaluating the compressor inlet pressure, first-stage discharge pressure, and second-stage discharge pressure; the compressor's operating temperature adaptability evaluation includes evaluating the compressor inlet temperature, discharge temperature, first-stage discharge temperature, and second-stage discharge temperature.

[0012] Furthermore, in S3, indicators i and j are compared to obtain corresponding scores based on their importance, including six levels: equal importance is scored as 1, slightly important is scored as 3, relatively important is scored as 5, strongly important is scored as 7, extremely important is scored as 9, and the median score between two adjacent judgments is scored as 2, 4, 6, and 8.

[0013] Furthermore, the steps for obtaining the weight values ​​in S4 are as follows: The values ​​obtained by comparing different indicators i and j pairwise are filled into the i-th row and j-th column of the matrix. The resulting matrix is ​​multiplied by its positive and negative matrices to obtain the judgment matrix. Each row of the judgment matrix is ​​normalized to obtain the normalized matrix. The eigenvalues ​​and eigenvectors of the normalized matrix are calculated. The eigenvector corresponding to the largest eigenvalue is used as the weight vector. The values ​​in the weight vector corresponding to the indicators (i and j) are used as the weight values ​​of the corresponding indicators.

[0014] Furthermore, in S6, when scoring according to the adaptiveness evaluation level table, 4.5 points are given for complete adaptation, 3.5 points for moderate adaptation, and 2.5 points for poor adaptation.

[0015] Furthermore, the completed adaptability evaluation system indicators are quantified and scored. The scores of the adaptability evaluation indicators for each shale gas pipeline are added together to obtain the total score for the corresponding indicator. The scores of each indicator are multiplied by their corresponding weight values, and the sum of the scores is used as the total score for the adaptability evaluation of the shale gas surface gathering and transportation system.

[0016] Furthermore, the adaptability of the gathering and transportation system is classified into three levels: fully adaptable: [245.7, 269.0], moderately adaptable: [161.4, 245.7], and poorly adaptable: [161.4, 0]. The adaptability of the shale gas surface gathering and transportation system is evaluated according to the detailed classification rules.

[0017] A second aspect of the present invention provides an apparatus for evaluating the adaptability of shale gas surface gathering and transportation systems, comprising: The first module is used to establish an adaptability evaluation index system for shale gas surface gathering and transportation systems. Three levels of indicators are established for pipelines and compressors: Level 1 indicators include pipeline adaptability and compressor adaptability; Level 2 indicators include pipeline stable operation, pipeline operating efficiency, pipeline operating safety, compressor stable operation, compressor operating efficiency, and compressor operating safety; Level 3 indicators include pipeline temperature fluctuation, pipeline pressure fluctuation, pipeline flow fluctuation, pipeline transportation efficiency, pipeline stress state, pipeline safety state, compressor operating pressure, compressor operating temperature, compressor compression efficiency, and compressor downtime failure rate. The second module is used to determine the weights of the adaptability evaluation indicators for shale gas surface gathering and transportation systems, and to establish a scaling table based on the importance of the evaluation indicators. The third module is used to score the ratio of the two indicators based on the scaling table; The fourth module is used to evaluate the adaptability of shale gas surface gathering and transportation systems, based on the established evaluation index system for the adaptability of shale gas surface gathering and transportation systems and its weight values. The fifth module is used to evaluate the adaptability of each pipeline and compressor in the completed adaptability evaluation system indicators and establish an adaptability level value table. The sixth module is used to score the level of adaptability.

[0018] A third aspect of the present invention provides a computer device including a processor, an input device, an output device, and a memory, wherein the processor, the input device, the output device, and the memory are interconnected, wherein the memory is used to store a computer program, the computer program including program instructions, and the processor is configured to invoke the program instructions to execute the method described in any one of the preceding embodiments.

[0019] A fourth aspect of the present invention provides a computer-readable storage medium storing a computer program, the computer program including program instructions that, when executed by a processor, cause the processor to perform the method described in any one of the preceding descriptions.

[0020] In summary, the present invention has the following beneficial effects: (1) Comprehensive and systematic evaluation of the adaptability of shale gas surface gathering and transportation systems: This invention has developed an adaptability evaluation index system with three levels of indicators, covering two major aspects: pipeline adaptability and compressor adaptability, as well as multiple dimensions such as pipeline operation stability, efficiency, and safety, and compressor operation stability, efficiency, and safety. This comprehensive and systematic evaluation system can more accurately reflect the overall operating status of shale gas surface gathering and transportation systems, overcoming the shortcomings of previous evaluation systems that failed to fully consider factors such as pipeline design, operation, and maintenance.

[0021] (2) Improve the overall adaptability of the gathering and transportation system: By establishing an adaptability evaluation index system and corresponding quantitative assessment methods, this invention can scientifically evaluate the adaptability of the shale gas surface gathering and transportation system and propose optimization measures based on the evaluation results. This helps to break through the gathering and transportation bottleneck, improve the efficiency of pipelines and pressurization equipment, and thus improve the overall adaptability of the system.

[0022] (3) Improve transportation efficiency and economic benefits: By optimizing the shale gas surface gathering and transportation system, efficiency losses caused by problems such as gathering and transportation bottlenecks and low compressor matching can be reduced, thereby improving transportation efficiency. At the same time, the optimized system can reduce energy consumption and maintenance costs, thereby improving overall economic benefits.

[0023] (4) Providing scientific basis and methods: The adaptive evaluation index system and methods of this invention provide a scientific basis and methods for the evaluation and optimization of shale gas surface gathering and transportation systems. This not only helps technicians to understand and grasp the operating status of the system more accurately, but also provides strong support for subsequent system optimization and improvement.

[0024] (5) Promoting technological innovation and application: The invention has promoted the innovation and development of adaptability evaluation technology for shale gas surface gathering and transportation systems. Through practical application, the evaluation system can be further verified and improved, promoting its application and promotion in a wider range of fields. Attached Figure Description

[0025] Figure 1 This is a flowchart of the adaptability evaluation method for shale gas surface gathering and transportation systems.

[0026] Figure 2 An evaluation index system for the adaptability of shale gas surface gathering and transportation systems. Detailed Implementation

[0027] The present invention will be further described in detail below with reference to the embodiments.

[0028] Example 1: See attached document Figure 1 As shown, this invention develops an adaptability evaluation index system comprising three levels of indicators, covering two major aspects: pipeline adaptability and compressor adaptability, as well as multiple dimensions such as pipeline operation stability, efficiency, and safety, and compressor operation stability, efficiency, and safety. This comprehensive and systematic evaluation system can more accurately reflect the overall operating status of the shale gas surface gathering and transportation system, overcoming the shortcomings of previous evaluation systems that failed to fully consider factors such as pipeline design, operation, and maintenance.

[0029] This embodiment presents a method for evaluating the adaptability of a shale gas surface gathering and transportation system, including the following steps: S1. Establish an adaptability evaluation index system for shale gas surface gathering and transportation systems. Three levels of indicators are established for pipelines and compressors: Level 1 indicators include pipeline adaptability and compressor adaptability; Level 2 indicators include pipeline stable operation, pipeline operating efficiency, pipeline operating safety, compressor stable operation, compressor operating efficiency, and compressor operating safety; Level 3 indicators include pipeline temperature fluctuation, pipeline pressure fluctuation, pipeline flow fluctuation, pipeline transportation efficiency, pipeline stress state, pipeline safety state, compressor operating pressure, compressor operating temperature, compressor compression efficiency, and compressor downtime failure rate. S2. Determine the weights of the adaptability evaluation indicators for shale gas surface gathering and transportation systems, and establish a scaling table based on the importance of the evaluation indicators; S3. Score the ratio of the two indicators according to the scaling table; S4. Evaluate the adaptability of the shale gas surface gathering and transportation system based on the established evaluation index system and its weight values. S5. Conduct an adaptability evaluation for each pipeline and compressor in the completed adaptability evaluation system indicators, and establish an adaptability level value table. S6. Score according to the degree of adaptability.

[0030] Example 2: Example 1 describes an adaptability evaluation method for a shale gas surface gathering and transportation system. The hierarchical structure of the evaluation indicators in the corresponding method is as follows: Figure 2 As shown, the primary indicators include: pipeline adaptability and compressor adaptability; the secondary indicators include: pipeline stable operation, pipeline operating efficiency, pipeline operating safety, compressor stable operation, compressor operating efficiency, and compressor operating safety; the tertiary indicators include: pipeline temperature fluctuation, pipeline pressure fluctuation, pipeline flow fluctuation, pipeline transport efficiency, pipeline safety status, compressor operating pressure, compressor operating temperature, compressor compression efficiency, and compressor downtime failure rate.

[0031] The pipeline operation indicators in the third-level indicators are as follows: Pipeline temperature fluctuation adaptability evaluation: fully adaptable: temperature fluctuation <10%, moderately adaptable: 10% < temperature fluctuation <40%, poor adaptability: temperature fluctuation >40%. The pipeline temperature fluctuation adaptability evaluation uses 12 hours of temperature data along the pipeline to obtain the pipeline temperature change situation and trend.

[0032] Pipeline pressure fluctuation adaptability evaluation: fully adaptable: pressure fluctuation amplitude <10%, moderately adaptable: 10% < pressure fluctuation amplitude <40%, poor adaptability: pressure fluctuation amplitude >40%. The pipeline pressure fluctuation adaptability evaluation is based on 12 hours of pressure data along the pipeline to obtain the pipeline pressure fluctuation changes and trends.

[0033] Pipeline flow fluctuation adaptability evaluation: fully adaptable: flow fluctuation amplitude <10%, moderately adaptable: 10% < flow fluctuation amplitude <40%, poor adaptability: flow fluctuation amplitude >40%. The pipeline flow fluctuation adaptability evaluation is based on 12 hours of flow data along the pipeline to obtain the pipeline flow change situation and trend.

[0034] Pipeline transport efficiency adaptability evaluation: fully adaptable: >90%, moderately adaptable: 90%-70%, poorly adaptable: <70%.

[0035] Pipeline stress state adaptability evaluation, fully adaptable: max(|σ L |,|σ h -σ L |)≤0.6σ s Generally adaptable to: 0.6σs <max(|σ L |,|σ h -σ L |)<0.8σ s Poor adaptability: max(|σ L |,|σ h -σ L |)≥0.8σ s , where σ L For axial stress, σ h For circumferential stress, σ s This represents the minimum yield strength.

[0036] Pipeline safety status adaptability evaluation considers the pipeline safety factor and pipeline service life. The pipeline safety factor is the ratio of the maximum pressure the pipeline can withstand under maximum working pressure to the working pressure. The evaluation criteria are as follows: Fully adaptable: safety factor ≥ 1.20; Generally adaptable: 1.10 ≤ safety factor ≤ 1.20; Poorly adaptable: 1.00 ≤ safety factor ≤ 1.10. Pipeline service life is determined using a failure rate curve to establish critical values: Fully adaptable: 5 years < service life < 10 years; Generally adaptable: 10 years ≤ service life < 25 years; Poorly adaptable: service life ≥ 25 years or service life ≤ 5 years.

[0037] The compressor operating indicators in the third-level indicators are as follows: The compressor's operating pressure adaptability evaluation is as follows: fully adaptable: pressure fluctuation <10%; moderately adaptable: 10% < pressure fluctuation <40%; poor adaptability: pressure fluctuation >40%. The compressor's operating pressure adaptability evaluation includes evaluating the compressor's inlet pressure, first-stage discharge pressure, and second-stage discharge pressure.

[0038] The compressor's operating temperature adaptability evaluation is categorized as follows: fully adaptable: temperature fluctuation <10%; moderately adaptable: 10% < temperature fluctuation <40%; poor adaptability: temperature fluctuation >40%. The evaluation includes assessing the compressor's inlet temperature, exhaust temperature, first-stage exhaust temperature, and second-stage exhaust temperature.

[0039] Compressor compression efficiency adaptability evaluation: Fully adaptable: >85%, Generally adaptable: 85%-75%, Poor adaptability: <75%; Compressor downtime failure rate adaptability evaluation: the proportion of compressor downtime to operating time. Fully adaptable: downtime failure rate <10%; moderately adaptable: 10% < downtime failure rate <20%; poor adaptability: downtime failure rate >20%.

[0040] In S3, indicators i and j are compared to obtain corresponding scores based on their importance, including six levels: equal importance is scored as 1, slightly important is scored as 3, relatively important is scored as 5, strongly important is scored as 7, extremely important is scored as 9, and the median values ​​between two adjacent judgments are 2, 4, 6, and 8, as shown in Table 1.

[0041] The steps to obtain the weight values ​​in S4 are as follows: The values ​​obtained by comparing different indicators i and j pairwise are filled into the i-th row and j-th column of the matrix. The resulting matrix is ​​multiplied by its positive and negative matrices to obtain the judgment matrix. Each row of the judgment matrix is ​​normalized to obtain the normalized matrix. The eigenvalues ​​and eigenvectors of the normalized matrix are calculated. The eigenvector corresponding to the largest eigenvalue is used as the weight vector. The values ​​in the weight vector corresponding to the indicators (i and j) are used as the weight values ​​of the corresponding indicators.

[0042] The specific calculation steps are as follows: Step 1: Establish a hierarchical structure model: Divide the decision-making objectives, factors considered (decision criteria), and decision objects into three levels—the highest, middle, and lowest—based on their interrelationships, and draw a hierarchical structure diagram. The highest level refers to the purpose of the decision and the problem to be solved. The lowest level refers to the alternative solutions during the decision-making process. The middle level refers to the factors considered and the decision criteria. For adjacent levels, the higher level is called the objective level, and the lower level is called the factor level.

[0043] Step Two: Constructing a Judgment (Pairwise Comparison) Matrix: Instead of comparing all factors together, compare them pairwise. Use a relative scale to minimize the difficulty of comparing factors with different characteristics, thus improving accuracy. For example, for a given criterion, compare each option pairwise and assign a ranking based on their importance. ij Table 1 lists nine importance levels and their assigned values ​​for the importance comparison results between element i and element j. The matrix formed by the pairwise comparison results is called the judgment matrix.

[0044] Table 1. Importance Scale of Shale Gas Surface Gathering and Transportation System Adaptability Evaluation Indicators Step 3, Hierarchical Single Sorting and Consistency Test: Corresponding to the largest eigenvalue λ of the judgment matrix. maxThe eigenvectors of an n-order matrix, after normalization (making the sum of their elements equal to 1), are denoted as W. The elements of W represent the ranking weights of factors at the same level relative to a factor at the next higher level; this process is called hierarchical single ranking. To confirm whether a hierarchical single ranking can be confirmed, a consistency test is required. The consistency test determines the acceptable range of inconsistencies for A. Specifically, the unique non-zero eigenvalue of an n-order consistent matrix is ​​n; the largest eigenvalue of an n-order positive reciprocal matrix A is λ ≥ n, and A is a consistent matrix if and only if λ = n.

[0045] Since λ continuously depends on a ij The greater the difference between λ and n, the more severe the inconsistency of A. The consistency index is calculated using CI; the smaller the CI, the greater the consistency. The eigenvector corresponding to the largest eigenvalue is used as the weight vector for the degree of influence of the compared factor on a higher-level factor. The greater the degree of inconsistency, the greater the judgment error. Therefore, the magnitude of λ-n can be used to measure the degree of inconsistency of A. The consistency index is defined as: ; CI=0 indicates perfect consistency; CI close to 0 indicates satisfactory consistency; the larger the CI, the more severe the inconsistency.

[0046] To measure the magnitude of CI, the random consistency metric RI is introduced: ; The random consistency index RI is related to the order of the judgment matrix. Generally, the larger the order of the matrix, the greater the possibility of random deviations in consistency. The corresponding relationship is shown in Table 2. Table 2 Standard values ​​of the average random consistency index RI Considering that deviations in consistency may be due to random causes, when verifying whether the judgment matrix has satisfactory consistency, it is also necessary to compare CI with the random consistency index RI to obtain the test coefficient CR, as shown in the following formula: ; Generally, if CR < 0.1, the judgment matrix is ​​considered to have passed the consistency test; otherwise, it is not considered to have satisfactory consistency.

[0047] Step 4, Overall Hierarchical Ranking and Consistency Test: Calculate the weights of the relative importance of all factors at a certain level to the highest level (overall goal), which is called the overall hierarchical ranking.

[0048] In S6, when scoring according to the adaptive evaluation level value table, 4.5 points are given for complete adaptation, 3.5 points for moderate adaptation, and 2.5 points for poor adaptation, as shown in Table 3.

[0049] Table 3. Adaptability Level Values The completed adaptability evaluation system indicators are quantified and scored. The scores of the adaptability evaluation indicators for each shale gas pipeline are added together to obtain the total score for the corresponding indicator. The scores of each indicator are multiplied by their corresponding weight values, and the sum of the scores is used as the total score for the adaptability evaluation of the shale gas surface gathering and transportation system. The detailed classification rules for the adaptability level of the gathering and transportation system are as follows: Fully adaptable: [245.7, 269.0], Generally adaptable: [161.4, 245.7], Poorly adaptable: [161.4, 0]. The adaptability of the shale gas surface gathering and transportation system is evaluated according to the classification rules.

[0050] Example 3: This embodiment provides an example of an optimized design scheme for the above-mentioned adaptive evaluation method: The gathering and transportation system of a certain shale gas block suffers from problems such as low pipeline transportation efficiency and low compressor compression efficiency.

[0051] 1. Problem Identification The adaptability evaluation method for shale gas surface gathering and transportation systems revealed that the pipeline transportation efficiency and compressor compression efficiency were both low, resulting in an "poor adaptability" level.

[0052] 2. Targeted optimization measures To address the issue of pipeline pressure fluctuations, measures such as optimizing compressor operating parameters, optimizing pipeline layout, and improving pipeline network conditions are implemented.

[0053] To address the issue of low compressor compression efficiency, measures such as maintenance and repair, optimization of operating conditions, upgrading or replacing equipment, improving cooling efficiency, and implementing regular maintenance and upkeep plans can be implemented.

[0054] 3. Evaluation of Optimization Results After taking measures, data was collected again and an adaptability evaluation was conducted. It was found that the scores of pipeline pressure fluctuation and compressor failure rate indicators were significantly improved, and the overall adaptability level of the system was upgraded to "generally adaptable" or "fully adaptable".

[0055] Example 4: This embodiment discloses: a device for evaluating the adaptability of shale gas surface gathering and transportation systems, the device comprising: The first module is used to establish an adaptability evaluation index system for shale gas surface gathering and transportation systems. Three levels of indicators are established for pipelines and compressors: Level 1 indicators include pipeline adaptability and compressor adaptability; Level 2 indicators include pipeline stable operation, pipeline operating efficiency, pipeline operating safety, compressor stable operation, compressor operating efficiency, and compressor operating safety; Level 3 indicators include pipeline temperature fluctuation, pipeline pressure fluctuation, pipeline flow fluctuation, pipeline transportation efficiency, pipeline stress state, pipeline safety state, compressor operating pressure, compressor operating temperature, compressor compression efficiency, and compressor downtime failure rate. The second module is used to determine the weights of the adaptability evaluation indicators for shale gas surface gathering and transportation systems, and to establish a scaling table based on the importance of the evaluation indicators. The third module is used to score the ratio of the two indicators based on the scaling table; The fourth module is used to evaluate the adaptability of shale gas surface gathering and transportation systems, based on the established evaluation index system for the adaptability of shale gas surface gathering and transportation systems and its weight values. The fifth module is used to evaluate the adaptability of each pipeline and compressor in the completed adaptability evaluation system indicators and establish an adaptability level value table. The sixth module is used to score the level of adaptability.

[0056] Example 5: This embodiment discloses a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the above-described shale gas surface gathering and transportation system adaptability evaluation method.

[0057] In this embodiment, the processor can be a central processing unit (CPU). The processor can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or combinations of the above types of chips.

[0058] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs, and units, such as the program units corresponding to the above-described method embodiments of the present invention. The processor executes various functional applications and data processing of the processor by running the non-transitory software programs, instructions, and modules stored in the memory, thereby implementing the methods described in the above-described method embodiments.

[0059] The memory may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created by the processor, etc. Furthermore, the memory may include high-speed random access memory and non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory may optionally include memory remotely located relative to the processor, which can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0060] The one or more units are stored in the memory, and when executed by the processor, they perform the methods in Embodiment 1, Embodiment 2 or Embodiment 3 described above.

[0061] Example 6: As another preferred embodiment of the present invention, this embodiment discloses a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the steps in Embodiment 1, Embodiment 2 or Embodiment 3 above.

[0062] In summary, the advantages of this invention are that it comprehensively and systematically evaluates the adaptability of shale gas surface gathering and transportation systems, improves the overall adaptability of the system, enhances transportation efficiency and economic benefits, and provides strong technical support for the development and application of shale gas.

[0063] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for shale gas surface gathering system adaptability evaluation, characterized in that, Includes the following steps: S1. Establish an adaptability evaluation index system for shale gas surface gathering and transportation systems. Three levels of indicators are established for pipelines and compressors: Level 1 indicators include pipeline adaptability and compressor adaptability; Level 2 indicators include pipeline stable operation, pipeline operating efficiency, pipeline operating safety, compressor stable operation, compressor operating efficiency, and compressor operating safety; Level 3 indicators include pipeline temperature fluctuation, pipeline pressure fluctuation, pipeline flow fluctuation, pipeline transportation efficiency, pipeline stress state, pipeline safety state, compressor operating pressure, compressor operating temperature, compressor compression efficiency, and compressor downtime failure rate. S2. Determine the weights of the adaptability evaluation indicators for shale gas surface gathering and transportation systems, and establish a scaling table based on the importance of the evaluation indicators; S3. Score the ratio of the two indicators according to the scaling table; S4. Evaluate the adaptability of the shale gas surface gathering and transportation system based on the established evaluation index system and its weight values. S5. Conduct an adaptability evaluation for each pipeline and compressor in the completed adaptability evaluation system indicators, and establish an adaptability level value table. S6. Score according to the degree of adaptability.

2. The shale gas surface gathering system adaptability evaluation method according to claim 1, characterized in that, The pipeline's three-level indicators are: Pipeline temperature fluctuation adaptability evaluation: Fully adaptable: temperature fluctuation <10%; Moderately adaptable: 10% < temperature fluctuation <40%; Poor adaptability: temperature fluctuation >40%. Pipeline pressure fluctuation adaptability evaluation: Fully adaptable: pressure fluctuation amplitude <10%; Moderately adaptable: 10% < pressure fluctuation amplitude <40%; Poor adaptability: pressure fluctuation amplitude >40%. Pipeline flow fluctuation adaptability evaluation: Fully adaptable: flow fluctuation <10%; Moderately adaptable: 10% < flow fluctuation <40%; Poor adaptability: flow fluctuation >40%. Pipeline transport efficiency adaptability evaluation: Fully adaptable: >90%, Generally adaptable: 90%-70%, Poor adaptability: <70%; Pipe stress state adaptability evaluation, fully adapted: max(|σ L |, |σ h -σ L |)≤0.6σ s , generally adapted: 0.6σ s <max(|σ L |, |σ h -σ L |)<0.8σ s , poor adaptability: max(|σ L |, |σ h -σ L |)≥0.8σ s , wherein σ L is the axial stress, σ h is the hoop stress, and σ s is the minimum yield strength; The pipeline safety status adaptability evaluation includes the pipeline safety factor, which is the ratio of the maximum pressure the pipeline can withstand to the working pressure when subjected to the maximum working pressure. Fully adaptable: safety factor ≥ 1.20; moderately adaptable: 1.10 ≤ safety factor ≤ 1.20; poorly adaptable: 1.00 ≤ safety factor ≤ 1.

10. It also includes the pipeline service life, which is determined using a failure rate curve to establish a critical value. Fully adaptable: 5 years < service life < 10 years; moderately adaptable: 10 years ≤ service life < 25 years; poorly adaptable: service life ≥ 25 years or service life ≤ 5 years.

3. The shale gas surface gathering system adaptability evaluation method according to claim 2, characterized in that, The compressor's third-level performance indicators are: Compressor operating pressure adaptability evaluation: Fully adaptable: pressure fluctuation <10%; Generally adaptable: 10% < pressure fluctuation <40%; Poor adaptability: pressure fluctuation >40%. The operating temperature adaptability evaluation of the compressor is as follows: fully adaptable: temperature fluctuation <10%; moderately adaptable: 10% < temperature fluctuation <40%; poor adaptability: temperature fluctuation >40%. Compressor compression efficiency adaptability evaluation: Fully adaptable: >85%, Generally adaptable: 85%-75%, Poor adaptability: <75%; Compressor downtime failure rate adaptability evaluation: the proportion of compressor downtime to operating time. Fully adaptable: downtime failure rate <10%; moderately adaptable: 10% < downtime failure rate <20%; poor adaptability: downtime failure rate >20%.

4. The method for evaluating the adaptability of shale gas surface gathering and transportation systems according to claim 3, characterized in that, The pipeline temperature fluctuation adaptability evaluation, pipeline pressure fluctuation adaptability evaluation, and pipeline flow fluctuation adaptability evaluation are obtained by using 12 hours of temperature data, pressure data, and flow data along the pipeline to obtain the corresponding pipeline temperature, pressure fluctuation, and flow change status and trend.

5. The method for evaluating the adaptability of shale gas surface gathering and transportation systems according to claim 3, characterized in that, The compressor's operating pressure adaptability evaluation includes evaluating the compressor's inlet pressure, first-stage discharge pressure, and second-stage discharge pressure; the compressor's operating temperature adaptability evaluation includes evaluating the compressor's inlet temperature, discharge temperature, first-stage discharge temperature, and second-stage discharge temperature.

6. The method for evaluating the adaptability of shale gas surface gathering and transportation systems according to claim 3, characterized in that, In S3, indicators i and j are compared to obtain corresponding scores based on their importance, including six levels: equal importance is scored as 1, slightly important is scored as 3, relatively important is scored as 5, strongly important is scored as 7, extremely important is scored as 9, and the median score between two adjacent judgments is scored as 2, 4, 6, and 8.

7. The method for evaluating the adaptability of shale gas surface gathering and transportation systems according to claim 6, characterized in that, The steps to obtain the weight values ​​in S4 are as follows: The values ​​obtained by comparing different indicators i and j pairwise are filled into the i-th row and j-th column of the matrix. The resulting matrix is ​​multiplied by its positive and negative matrices to obtain the judgment matrix. Each row of the judgment matrix is ​​normalized to obtain the normalized matrix. The eigenvalues ​​and eigenvectors of the normalized matrix are calculated. The eigenvector corresponding to the largest eigenvalue is used as the weight vector. The value in the weight vector corresponding to the indicator is used as the weight value of the corresponding indicator.

8. The method for evaluating the adaptability of a shale gas surface gathering and transportation system according to claim 7, characterized in that, In S6, when scoring according to the adaptiveness evaluation level table, 4.5 points are given for complete adaptation, 3.5 points for moderate adaptation, and 2.5 points for poor adaptation.

9. The method for evaluating the adaptability of a shale gas surface gathering and transportation system according to claim 8, characterized in that, The completed adaptability evaluation system indicators are quantified and scored. The scores of the adaptability evaluation indicators of each shale gas pipeline are added together to obtain the total score of the corresponding indicator. The scores of each indicator are multiplied by their corresponding weight values, and the sum of the scores is used as the total score of the adaptability evaluation of the shale gas surface gathering and transportation system.

10. The method for evaluating the adaptability of a shale gas surface gathering and transportation system according to claim 9, characterized in that, The adaptability of gathering and transportation systems is classified into three levels: fully adaptable ([245.7, 269.0]), moderately adaptable ([161.4, 245.7]), and poorly adaptable ([161.4, 0]). The adaptability of shale gas surface gathering and transportation systems is evaluated according to the classification rules.

11. A device for evaluating the adaptability of shale gas surface gathering and transportation systems, characterized in that, include: The first module is used to establish an adaptability evaluation index system for shale gas surface gathering and transportation systems. Three levels of indicators are established for pipelines and compressors: Level 1 indicators include pipeline adaptability and compressor adaptability; Level 2 indicators include pipeline stable operation, pipeline operating efficiency, pipeline operating safety, compressor stable operation, compressor operating efficiency, and compressor operating safety; Level 3 indicators include pipeline temperature fluctuation, pipeline pressure fluctuation, pipeline flow fluctuation, pipeline transportation efficiency, pipeline stress state, pipeline safety state, compressor operating pressure, compressor operating temperature, compressor compression efficiency, and compressor downtime failure rate. The second module is used to determine the weights of the adaptability evaluation indicators for shale gas surface gathering and transportation systems, and to establish a scaling table based on the importance of the evaluation indicators. The third module is used to score the ratio of the two indicators based on the scaling table; The fourth module is used to evaluate the adaptability of shale gas surface gathering and transportation systems, based on the established evaluation index system for the adaptability of shale gas surface gathering and transportation systems and its weight values. The fifth module is used to evaluate the adaptability of each pipeline and compressor in the completed adaptability evaluation system indicators and establish an adaptability level value table. The sixth module is used to score the level of adaptability.

12. A computer device, characterized in that, The system includes a processor, an input device, an output device, and a memory, which are interconnected. The memory is used to store a computer program, which includes program instructions. The processor is configured to invoke the program instructions to execute the method as described in any one of claims 1-10.

13. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, the computer program including program instructions that, when executed by a processor, cause the processor to perform the method as described in any one of claims 1-10.

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