Abstract：In developed salt areas,the salt compression may cause serious strata deformation.So strata will be folded and bent to form extremely complex structure.In this case,salt dome and fault detection will be a very difficult task with conventional coherence and curvature algorithms.To overcome this difficulty,we propose gradient-structure tensor (GST) discontinuity detection.First,we use seismic data to construct a gradient-structure tensor.Then we conduct the gradient-structure tensor spectrum decomposition,and calculate the eigenvalues and eigenvectors.Finally,we construct the chaos measurement index with three eigenvalues,which can be used to effectively identify fault and salt dome distributions in complex structures.Field data applications show that the proposed GST method is more suitable for salt dome and fault detection compared with conventional coherence and curvature algorithms.It can overcome the discontinuity illusion caused by steep-dip strata and provide reliable data for salt dome 3D carving.
王清振, 张金淼, 姜秀娣, 桑淑云. 利用梯度结构张量检测盐丘与断层[J]. 石油地球物理勘探, 2018, 53(4): 826-831.
Wang Qingzhen, Zhang Jinmiao, Jiang Xiudi, Sang Shuyun. Salt dome and fault detection based on the gradient-structure tensor. Oil Geophysical Prospecting, 2018, 53(4): 826-831.
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