摘要
在煤炭资源与石油资源共储区,先期开采石油遗留的许多废弃石油井会严重影响煤炭的后续安全高效开采。为探究废弃石油井对井周围煤层安全开采的影响程度,根据神华宁煤双马煤矿内废弃石油井及其周围煤岩层的实际情况,运用层次分析法和模糊综合评价法针对废弃石油井对煤层安全开采的影响程度进行了评价。结果表明:废弃石油井对煤层安全开采的危害主要分为油气涌入、水涌入和顶板灾害3类,其中油气灾害对煤层安全开采的威胁最大;依据最大隶属度原则,油气、水和顶板灾害因素对煤层安全开采的影响等级分别为严重、较严重和轻微;废弃石油井对煤层安全开采综合影响的模糊综合评价向量为(0.0943,0.2245,0.3009,0.6490,0.6071),依据最大隶属度原则,其影响等级为严重。该研究可为双马煤矿及全国类似煤矿的安全高效采煤提供理论指导。
In the coexistence zone of coal resources and petroleum resources,many abandoned oil wells left by the early exploitation of oil will seriously affect the subsequent safety mining of coal.In order to study the influence degree of abandoned oil well on safety mining of surrounding coal seam,according to the actual situation of the abandoned oil wells and coal seams in Shuangma coal mine,the influence degree of the abandoned oil wells on the safe mining of coal seams was evaluated by using AHP and fuzzy comprehensive evaluation method.The results show that the hazards of abandoned oil wells to the safe mining of coal seams are mainly divided into oil-gas influx,water inflow and roof disasters,of which the oil-gas disasters pose the greatest threat to the safe mining of coal seams.According to the principle of maximum membership degree principle,the influence levels of oil-gas,water and roof on the safe mining of coal seam are serious,relatively serious and slight respectively,and the comprehensive influence level of abandoned oil wells on the safe mining of coal seam is serious.The research can provide theoretical guidance for the safe and efficient mining of Shuangma coal mine and similar coal mines in China.
作者
索永录
李凡
刘颖凯
SUO Yong-lu;LI Fan;LIU Ying-kai(School of Energy Engineering,Xi’an University of Science and Technology,Xi’an 710054,China;Key Laboratory of Western Mines and Hazard Prevention,Ministry of Education,Xi’an 710054,China)
出处
《陕西煤炭》
2020年第4期6-12,40,共8页
Shaanxi Coal
基金
国家自然科学基金资助项目(51474173,51774229)。
关键词
资源共储区
废弃石油井
层次分析法
模糊综合评价法
影响评价
resources coexistence zone
abandoned oil well
Analytic Hierarchy Process
fuzzy comprehensive evaluation
influence evaluation