摘要
针对地质构造定量化评价难题,运用断层分形理论对良庄井田15煤层三采区底板断层进行信息分维定量评价研究,并分析断层面积信息分维值影响因素、构造与矿井底板突水关系。结果表明,底板断层面积信息分维值影响因素主要为断层复杂程度、断层落差、断层性质。断层越复杂,断层面积信息维越高;断层落差越大,断层面积信息维越高;断层高面积信息维值条带分布与断层走向具有一致性。在无奥灰径流带的条件下,奥灰含水层以裂隙水存在,断层为底板突水的主要控制因素之一,底板水压、涌水量、突水系数与底板断层面积信息分维值具有正相关性,底板断层面积信息分维值越大,底板原始导高带越大,底板水压、涌水量、突水系数也越大,突水风险越高。同时,将良庄井田15煤层三采区危险性分区并预测危险区(D_1>1.35)主要位于采区中部以西部分和北西角,建议对其附近断层预留足够的安全煤柱。
In order to solve the difficult problem of geological tectonic quantification evaluation , applying fault fractal theory to making information fractal dimension for floor fault in 3rd mining zone of 15 coal-seam in Liangzhuang minefield .The influence factors of fault area fractal dimension and the relationship of tectonic and floor water -burst was analyzed .Results showed that the main influence factor were fault complexity degree , fault throw and fault quality .The more complex the fault was , the higher the fault area fractal dimension was.The strip distribution of fault′s high area information fractal dimension and its trend was the same .Without runoff belt , Ordovician limestone aquifer existed as crack water and fault was one of the main factors controlling floor water -burst.Floor water pressure, water inflow, water-burst coefficient and area information fractal dimension value had positive correlation .The larger the area information fractal dimension was , the higher the floor original water-conductive zone was and the larger water pressure , water inflow and water-burst coefficient were.Danger zone of the 3rd mining zone was partitioned.It was predicted that danger zone (DI>1.35) lied in west of the mining area and at the north-west corner .Enough safe coal pillar was suggested for faults.
出处
《煤矿开采》
北大核心
2014年第1期12-16,共5页
Coal Mining Technology
基金
教育部高等学校博士学科点专项科研基金:矿并底板水实时监侧理论研究及应用(20133718110004)
山东省自然科学基金重点资助项目(ZR2011EEZ002)
青岛经济技术开发区重点科技发展计划项目(2013-1-62)
山东科技大学科研创新团队支持计划资助(2012KYTD101)
山东科技大学研究生科技创新基金项目(YCA120206
YC130104)
山东省青少年教育科学规划课题大学生学术课题(13CZR001)
关键词
断层构造
分形
底板突水
矿井水害
信息维
fault tectonic
fractal
floor water-burst
mine water disaster
information dimension