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Fractal Analysis of Fault Attributes Derived from Seismic Discontinuity Data
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 67th EAGE Conference & Exhibition, Jun 2005, cp-1-00416
Abstract
P318 FRACTAL ANALYSIS OF FAULT ATTRIBUTES DERIVED FROM SEISMIC DISCONTINUITY DATA Abstract 1 I create a fault attribute by filtering seismic discontinuity data to retain relatively vertical and planar discontinuities while suppressing all other discontinuities. The fault filter sharpens major faults and reveals many minor faults that are obscure on the original discontinuity data. Fault attribute data resemble fracture maps and can be analyzed similarly to estimate the fractal dimension of the faults. Typical fractal dimensions along time slices and vertical sections range from 1.5 to 1.7. Introduction Seismic discontinuity attributes quantify the degree to which neighboring seismic traces vary