Complicated Fault Identification Study and Application
MA Jin-ping
FAN Hong-yao
SANG Shu-yun
WANG Qing-zhen
SHI Rui-qi
Abstract：Now more and more traps are faulted trap, so the fault recognition is very important. By project study we think that: 1).The combine of coherence and sup retrace technique can make big faults more clear. 2).The attribute fusion of different curvature attributes can improve small faults identification. 3).The gradient vector technique can make fault image clearer. 4).This technique already has very good application in study area. 5. This technique can be applied in other similar area.
Keywords：fault identificationtime-frequency analysiscoherence analysiscurvature attributes analysisdiscontinuity detection
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 27-34 )