COMBINED APPLICATION OF SEVERAL METHODS FOR FAULT STRUCTURE IDENTIFICATION IN GRAVITY DATA PROCESSING
HUAN Heng-fei1, GUO Can-wen2, SUN Shou-liang1, LI Yong-fei1, GAO Tie1, WANG Yang3
1. Shenyang Center of China Geological Survey, Shenyang 110034, China; 2. National Marine Data and Information Service, Tianjin 300171, China; 3. No.2 Geological Logging Plant of Daqing Drilling and Exploration Co., Ltd., Songyuan 110031, Jilin Province, China
Abstract:To improve the effect of gravity data to infer fault structures, the gridding small domain filtering method is used to highlight the anomaly of gravity gradient zone first, then the horizontal total gradient modulus, analytic signal amplitude and horizontal direction derivative are combined respectively to carry out the secondary processing. Through theoretical model tests, the processing result of single method is compared with that of different combination methods. The combination methods are applied in the measured gravity data processing of Jinyang Basin to infer the fault structure framework in the study area. Comparison of the faults with those determined by seismic section proves the effectiveness of the combined methods in division of fault structures. The results show that the combined application of existing fault structure identification methods can clearly delineate the boundary of geological bodies, and is particularly practical in gravity data processing.
郇恒飞, 郭灿文, 孙守亮, 李永飞, 高铁, 王洋. 重力数据处理中几种断裂构造识别方法的组合应用[J]. 地质与资源, 2020, 29(5): 467-475.
HUAN Heng-fei, GUO Can-wen, SUN Shou-liang, LI Yong-fei, GAO Tie, WANG Yang. COMBINED APPLICATION OF SEVERAL METHODS FOR FAULT STRUCTURE IDENTIFICATION IN GRAVITY DATA PROCESSING. GEOLOGY AND RESOURCES, 2020, 29(5): 467-475.
Cordell L. Gravimetric expression of graben faulting in Santa Fe Country and the Espanola Basin, New Mexico[C]//Proceedings of New Mexico Geological Society Guidebook, 30th Field Conference. Santa Fe Country:New Mexico Geological Society, 1979:59-64.
[12]
Nabighian M N. The analytic signal of two-dimensional magnetic bodies with polygonal cross-section:its properties and use for automated anomaly interpretation[J]. Geophysics, 1972,37(3):507-517.