Automatic extraction method for three-dimensional earthquake fault

Abstract

The invention discloses an automatic extraction method for a three-dimensional earthquake fault. The method comprises the following steps that data is subjected to image division based on ant tracking data to obtain a binary, then initial clustering is carried out on a fault by utilizing the space grid distance property of fault data points, further classification is carried out on the fault obtained from the initial clustering by utilizing the dip angle property of the fault, finally fault surfaces which are mutually independent and uncrossed are obtained, and the purpose of extracting fault surfaces out of ant tracking data is reached. By adopting the method, automatic identification and explanation on fault surfaces can be carried out, important and great experimental significance on directly explaining an earthquake fault is provided, support can be provided for an exploration worker on researching earthquake data further, and the defects of long period, great difficulty and strong subjectivity in the current method are overcome.

Description

technical field [0001] The invention relates to the field of seismic exploration, in particular to a method for automatically extracting three-dimensional seismic faults. Background technique [0002] In seismic exploration, seismic data interpretation is a very important link, and faults are one of the core parts of seismic data interpretation. The so-called fault is a structure in which the crustal rock layer is ruptured due to the force reaching a certain strength, and there is obvious relative movement along the rupture surface. [0003] Conventional fault interpretation methods use manual interpretation methods. Interpreters manually interpret faults on vertical sections and horizontal slices of 3D seismic data, usually along the main survey line or choose any survey line perpendicular to the fault strike line by line. Fault, and then control the spatial contrast and extension of the fault through horizontal or layer slices. This method has a long cycle, great difficul...

AI Technical Summary

Problems solved by technology

[0007] For fault data, the conventional manual interpretation method is that interpreters manually interpret faults on vertical sections and horizontal slices of 3D seismic data, usually along the direction of the main survey line or choose any survey line perpendicular to the strike of the fault to trace the fault line by line, Then control the spatial contrast and extension of faults through horizontal or layer-wise slices. This method is long-term, difficult, subjective, and relies too much on the experience of interpreters.

Images