基于阻尼最小二乘法的煤层裂隙P波方位属性预测

基金项目:

国家自然科学基金项目(40804026,40874054)

江苏省博士后科学基金项目(1002023B)

中国博士后科学基金项目(20100471003)

详细信息

Coalbed fracture prediction based on damped least square algorithm with P-wave attributes

School of Resources and Geoscience, China University of Mining and Technology, Xuzhou 221116, China

摘要: 以宏面元P波方位属性随方位角的变化规律为基础,利用阻尼最小二乘法,研究了佛洼区3号煤层裂隙发育带。分析初始阻尼因子取值与最终计算结果间的关系,认为初始阻尼因子λ应介于(120,200)区间。通过对比佛洼区3号煤层裂隙发育与底板构造间的对应关系,证实了所述计算策略的有效性。
- P波 /
- 最小二乘法 /
- 阻尼因子 /
- 煤层裂隙 /
- 属性预测
Abstract: Based on macro bin P-wave attributes variation with azimuth, the coalbed fracture zone of coalbed 3 in Fowa mining area has been studied by utilizing damped least square algorithm. In the process, the effect of different initial damping factors in the final results is analyzed, and the initial damping factor λis deemed to range between 120 and 200. By comparing the corresponding relation between the coalbed fracture zone and the coalbed floor structure, the calculation strategy described in the paper is confirmed to be effective, and the selection method of damping factor can be also a reference for other mining areas.
- P-wave /
- least square algorithm /
- damping factor /
- coalbed fracture /
- attribute predicting