摘要
断层准确位置的识别和解释在煤矿及煤层气勘探开发过程中具有非常重要的意义。细化断层概率体(Thinned Fault Likelihood,简称TFL)是一种新的反映断层准确位置的地震属性,有助于煤矿和煤层气地震勘探中断层的识别和解释。介绍了细化算法的基本原理,阐述了细化断层概率体的概念及计算流程,并对山西阳泉煤矿和海拉尔盆地呼和湖凹陷的地震资料进行了细化断层概率体属性计算,结果表明:与相干体、蚂蚁体等传统属性相比,细化断层概率体处理结果为纤细、连续的断层面,有助于研究区断层的精确定位和解释,也可用于断层的自动解释和断层面的自动提取,并可避免断层解释过程中出现的多解性;将细化断层概率体和常规地震资料融合,有助于断裂模式的确定,提高断层人工解释的精度和效率。细化断层概率体技术的引进和应用为煤田及煤层气地震资料的准确、高效解释提供了一条新途径,具有重要的应用和推广价值。
The accurate identification and interpretation of faults are very important for the exploration and develop-ment of coal mines and coalbed methane. Thinned Fault Likelihood （TFL） is a new seismic attribute that reflects the accurate location of faults and would help the identification and interpretation of faults in seismic exploration of coal mines and coalbed methane. This paper introduces the basic principle and development course of the thinning algorithm, elaborates the calculation process of TFL, and then makes TFL processing on the seismic data of Shanxi Yangquan Coalfield and the Huhehu depression seismic data of Haila.er Basin Fault probability. The results show that, compared with the traditional attributes like coherent body and ant body, the result of TFL processing presents slender and continuous fault plane, which is helpful for the precise location and interpretation of faults in this area. Furthermore, it can also be used for the automatic faults interpretation and extraction of seismic section, and can avoid multi-solution in the fault properties interpretation. The combination of TFL and conventional seis-mic data will help to determine the fracture mode and improve the fault interpretation speed and accuracy. The ap-plication of TFL technique provides one new method for accurate and effecti-ve interpretation of coal mines and coal-bed methane seismic data, which is of great application and promotion significance.
出处
《中国海上油气》
CAS
CSCD
北大核心
2018年第1期67-73,共7页
China Offshore Oil and Gas
基金
2016年度国家重点研发计划政府间专项项目"碳捕集
封存
利用的示范及新一代技术研发(编号:2016YFE0102500-14)"部分研究成果
关键词
细化断层概率体
细化算法
断层解释
地震属性
煤层气
thinned fault likelihood
thinned algorithm
faults interpretation
seismic attributes
CBM
