Open AccessData Driven Model of Gas Well Integrity and Its Application
Author(s) -
Jiangling Hong,
Hongjie Zhang,
Jiaqi Wang,
Zhibin Wang,
Honglei Liu,
Chaodong Tan,
Pengkun Hou,
Wenrong Song
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2095/1/012092
Subject(s) - analytic hierarchy process , index (typography) , fuzzy logic , computer science , reliability engineering , production (economics) , integrity management , function (biology) , evaluation methods , membership function , risk assessment , environmental science , risk analysis (engineering) , well control , fuzzy set , operations research , engineering , business , environmental engineering , computer security , artificial intelligence , macroeconomics , world wide web , biology , evolutionary biology , pipeline transport , economics , drilling , mechanical engineering
In view of the problems that there are many well control risk points and the situation is grim of Xinjiang No.1 gas production plant, this paper carries out the gas well integrity evaluation and risk assessment, and establishes the comprehensive fuzzy evaluation model (FCEM) of gas well integrity. This paper analysed the integrity status of gas wells in Xinjiang No.1 gas production plant, establishes the integrity evaluation index system with well barrier components, real-time dynamic index and management organization as the main influence factors, determines the membership function of each index, calculates the weight of each index by using analytic hierarchy process(AHP), and establishes the risk degree calculation model by using fuzzy comprehensive evaluation, Quantitative analysis of gas well integrity. In this paper, a case study of a well in Xinjiang No.1 gas production plant shows that the model can quantitatively calculate the risk of gas well integrity and provide a reference for early warning of gas well integrity failure.