Abstract:In geological modeling, manual fault separating is cumbersome and time-consuming, and the accuracy of fault separating is restricted by subjective factors. Especially in complex fault blocks, wrong separating results may be induced. In addition, due to different geological problems in different work areas, the interpretation accuracy requirements are also inconsistent, making it extremely difficult to automatically separate faults. In this paper, we propose a method to separate faults automatically based on tensor voting. The direction information about the original fault point set is calculated with the tensor voting algorithm. Then, according to the current geological knowledge, the spatial location and fault stick number in the fault files are employed to realize automatic fault separating. The specific process is as follows:①All the scattered points are encoded and displayed as ball tensors;②the tensor fields of all the scattered points are calculated according to the scale parameters and then tensor voting is performed;③the eigenvalues of the tensor fields after voting are decomposed to obtain the normal vectors of all the scattered points, and then the instantaneous angle inclination and direction are calculated;④the faults are preliminarily separated according to the direction and spatial location information of the fault point set;⑤the faults are finely separated in combination with the geological knowledge. Simulation and actual data demonstrate that the proposed method can greatly improve the efficiency and accuracy of fault separating.
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