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分析近井筒效应的新模型及方法
引用本文:侯向秦,曹建,贾宁.分析近井筒效应的新模型及方法[J].西南石油大学学报(社会科学版),2015,34(5):0-182.
作者姓名:侯向秦  曹建  贾宁
作者单位:1.“油气藏地质及开发工程”国家重点实验室· 西南石油大学,四川成都6105002. 中国石油新疆油田分公司勘探公司,新疆克拉玛依834000
摘    要:近井筒效应是影响油气层压裂措施成败的重要因素之一,而现有的近井筒效应分析技术的模型一定程度上存在计算复杂和适应性局限等问题。从近井筒效应的机理分析出发,研究了分析近井筒效应的新模型,结合最优化技术,提出了新的数学拟合方法,使模型计算更为简便和准确。通过大量现场实例应用,说明了该技术不仅适用于排量稳定下降方式的普通测试压裂,也适用于排量任意变化方式的普通压裂,同时,该技术还可替代降排量测试压裂,减少了施工环节和作业费用。

关 键 词:水力压裂    近井筒效应    裂缝进入摩阻    摩阻

Index Evaluation Consequences of F&E Risk for CNG Filling Station
Hou Xiangqin,Cao Jian,Jia Ning.Index Evaluation Consequences of F&E Risk for CNG Filling Station[J].Journal of Southwest Petroleum University(Social Sciences Edition),2015,34(5):0-182.
Authors:Hou Xiangqin  Cao Jian  Jia Ning
Institution:1. The State Key Laboratory of Oil & Gas Reservoir Geology and Exploitation Engineering,Southwest Petroleum University,Chengdu,Sichuan610500,China2. Exploration Company of Xinjiang Oilfield Company,CNPC,Karamay,Xinjiang 834000,China
Abstract:An important aspect of risk assessment for CNG filling station is the evaluation of fire and explosion consequence.At present the methods of risk evaluation are mostly qualitative-based,such as hazard analysis and fault tree analysis. Theinfluencing factors of damage in the station are illustrated including ordinary technology hazards and special technology hazards.And the hazards of fire and explosion are analyzed. On that basis,the index method is used to carry out the evaluation of failureconsequence for the CNG filling station. It would lay the foundation for station quantity risk assessment.
Keywords:CNG filling station                                                                                                                        fire and explosion                                                                                                                        risk consequence                                                                                                                        index evaluation                                                                                                                        quantity risk assessment
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