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Fault Diagnosis of Gathering and Transportation Skid-mounted Equipment Based on Association Analysis
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Yan-hua QIU1, Xiang-dong ZHAO2, Yan HE3, Qing WEN1, Yong LIU4, Yu LIN1, Yu WU1, Jia-xin WANG2, Xin WANG2, *
Science Technology and Engineering | 2025, 25(13) : 5408 - 5414
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Science Technology and Engineering | 2025, 25(13): 5408-5414
Papers·Petroleum and Natural Gas Industry
Fault Diagnosis of Gathering and Transportation Skid-mounted Equipment Based on Association Analysis
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Yan-hua QIU1, Xiang-dong ZHAO2, Yan HE3, Qing WEN1, Yong LIU4, Yu LIN1, Yu WU1, Jia-xin WANG2, Xin WANG2, *
Affiliations
  • 1 Gathering Engineering Technology Research Institute, PetroChina Southwest Oil & Gasfield Company, Chengdu 610031, China
  • 2 School of Computer Science and Software Engineering, Southwest Petroleum University, Chengdu 610500, China
  • 3 Sichuan Changning Natural Gas Development Limited Liability Company, Chengdu 610051, China
  • 4 School of Petroleum Engineering, Chongqing University of Science and Technology, Chongqing 401331, China
Published: 2025-05-08 doi: 10.12404/j.issn.1671-1815.2404356
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In China's shale gas exploration and development, skid-mounted equipment is typically used due to its ease of disassembly, transportation, and reassembly. This equipment is often operated in high-pressure and high-temperature environments. As a result, faults are more likely to occur. To prevent production accidents and eliminate safety hazards, regular monitoring and fault diagnosis of skid-mounted gathering and transportation equipment are essential. Only relatively independent and discrete fault information is typically provided by conventional fault diagnosis methods. The relationships between faults are not uncovered. In response, a two-stage association analysis technique was proposed to analyze fault data from shale gas gathering and transportation skid-mounted equipment. The relationships between faults and defect type distributions were identified, providing valuable guidance for equipment maintenance and process optimization. It has been demonstrated through experiments on real data that the method proposed accurately identifies the relationships between defect locations and the distribution of defect types in skid-mounted equipment. A new solution is provided for the preventive detection and optimized design of gathering and transportation skid-mounted systems.

skid-mounted equipment  /  fault analysis  /  association analysis  /  defect distribution  /  Apriori
Yan-hua QIU, Xiang-dong ZHAO, Yan HE, Qing WEN, Yong LIU, Yu LIN, Yu WU, Jia-xin WANG, Xin WANG. Fault Diagnosis of Gathering and Transportation Skid-mounted Equipment Based on Association Analysis[J]. Science Technology and Engineering, 2025 , 25 (13) : 5408 -5414 . DOI: 10.12404/j.issn.1671-1815.2404356
Year 2025 volume 25 Issue 13
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Article Info
doi: 10.12404/j.issn.1671-1815.2404356
  • Receive Date:2024-06-12
  • Online Date:2025-07-09
  • Published:2025-05-08
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  • Received:2024-06-12
  • Revised:2025-02-06
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Affiliations
    1 Gathering Engineering Technology Research Institute, PetroChina Southwest Oil & Gasfield Company, Chengdu 610031, China
    2 School of Computer Science and Software Engineering, Southwest Petroleum University, Chengdu 610500, China
    3 Sichuan Changning Natural Gas Development Limited Liability Company, Chengdu 610051, China
    4 School of Petroleum Engineering, Chongqing University of Science and Technology, Chongqing 401331, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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