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

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.

[1]  A. Roberts.  Curvature attributes and their application to 3D interpreted horizons , 2001 .

[2]  J. Yu.  Using cylindrical surface-based curvature change rate to detect faults and fractures , 2014 .

[3]  Kurt J. Marfurt,et al.  Volumetric curvature attributes add value to 3D seismic data interpretation , 2007 .

[4]  Integration of Coherence And Volumetric Curvature Images , 2010 .

[5]  D. Gao,et al.  A New Analytical Method for Azimuthal Curvature Analysis From 3D Seismic Data , 2014 .

[6]  D. Gao,et al.  Improved estimates of seismic curvature and flexure based on 3D surface rotation in the presence of structure dip , 2016 .

[7]  J. Olson,et al.  Combining Outcrop Data and Three-Dimensional Structural Models to Characterize Fractured Reservoirs: An Example from Wyoming , 2000 .

[8]  Haibin Di,et al.  Multi-Attributes and Neural Network-Based Fault Detection in 3D Seismic Interpretation , 2013 .

[9]  Bruce S. Hart,et al.  Outcrop and Seismic Analysis of Natural Fractures, Faults and Structure at Teapot Dome, Wyoming , 2003 .

[10]  Qian Zhang,et al.  Study on Seismic Fortification Level of Electrical Equipment , 2014 .

[11]  Michael S. Bahorich,et al.  3-D Seismic Discontinuity For Faults And Stratigraphic Features: The Coherence Cube , 1995 .

[12]  K. Marfurt,et al.  Curvature attribute applications to 3D surface seismic data , 2007 .

[13]  Richard J. Lisle,et al.  Detection of Zones of Abnormal Strains in Structures Using Gaussian Curvature Analysis , 1994 .

[14]  John C. Lorenz,et al.  Fracture and fault patterns associated with basement-cored anticlines: The example of Teapot Dome, Wyoming , 2006 .

[15]  R. Lynn Kirlin,et al.  3-D seismic attributes using a semblance‐based coherency algorithm , 1998 .

[16]  D. Gao.  Integrating 3D seismic curvature and curvature gradient attributes for fracture characterization: Methodologies and interpretational implications , 2013 .

[17]  Kristofer M. Tingdahl,et al.  Semi‐automatic detection of faults in 3D seismic data , 2005 .

[18]  Kurt J. Marfurt,et al.  3D volumetric multispectral estimates of reflector curvature and rotation , 2006 .

[19]  Haibin Di,et al.  Efficient volumetric extraction of most positive/negative curvature and flexure for fracture characterization from 3D seismic data , 2016 .

[20]  Haibin Di,et al.  A new algorithm for evaluating 3D curvature and curvature gradient for improved fracture detection , 2014, Comput. Geosci..

[21]  D. Gao,et al.  Extreme curvature and extreme flexure analysis for fracture characterization from 3D seismic data: New analytical algorithms and geologic implications , 2015 .

[22]  Ronald A. Nelson,et al.  Geologic Analysis of Naturally Fractured Reservoirs , 1986 .

[23]  Valerie Smith,et al.  Developing a model discrete fracture network, drilling, and enhanced oil recovery strategy in an unconventional naturally fractured reservoir using integrated field, image log, and three-dimensional seismic data , 2015 .

[24]  T. Wilson,et al.  Fracture intensity attribute for the Tensleep reservoir at Teapot Dome, Wyoming, USA , 2015 .

[25]  Haibin Di,et al.  Gray-level transformation and Canny edge detection for 3D seismic discontinuity enhancement , 2014, Comput. Geosci..

[26]  J. Soldo,et al.  Curvature attributes and seismic interpretation Case studies from Argentina basins , 2003 .

[27]  Joseph. Wood,et al.  The geomorphological characterisation of Digital Elevation Models , 1996 .