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3D Seismic Flexure Analysis for Subsurface Fault Detection and Fracture Characterization

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Abstract

Seismic flexure is a new geometric attribute with the potential of delineating subtle faults and fractures from three-dimensional (3D) seismic surveys, especially those overlooked by the popular discontinuity and curvature attributes. Although the concept of flexure and its related algorithms have been published in the literature, the attribute has not been sufficiently applied to subsurface fault detection and fracture characterization. This paper provides a comprehensive study of the flexure attribute, including its definition, computation, as well as geologic implications for evaluating the fundamental fracture properties that are essential to fracture characterization and network modeling in the subsurface, through applications to the fractured reservoir at Teapot Dome, Wyoming (USA). Specifically, flexure measures the third-order variation of the geometry of a seismic reflector and is dependent on the measuring direction in 3D space; among all possible directions, flexure is considered most useful when extracted perpendicular to the orientation of dominant deformation; and flexure offers new insights into qualitative/quantitative fracture characterization, with its magnitude indicating the intensity of faulting and fracturing, its azimuth defining the orientation of most-likely fracture trends, and its sign differentiating the sense of displacement of faults and fractures.

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Acknowledgments

This study has been supported by the Foundation of State Key Laboratory of Shale Oil and Gas Enrichment Mechanism and Effective Development Award to Dengliang Gao sponsored by Sinopec (China). Thanks go to Dr. Kurt Marfurt from University of Oklahoma for providing newly processed prestack depth-migrated seismic data over Teapot Dome in Wyoming. This paper is a contribution to the West Virginia University Advanced Energy Initiative (AEI) program.

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Correspondence to Haibin Di.

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Di, H., Gao, D. 3D Seismic Flexure Analysis for Subsurface Fault Detection and Fracture Characterization. Pure Appl. Geophys. 174, 747–761 (2017). https://doi.org/10.1007/s00024-016-1406-9

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  • DOI: https://doi.org/10.1007/s00024-016-1406-9

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