Affiliation:
1. University of Oklahoma, ConocoPhillips School of Geology and Geophysics, Norman, Oklahoma, USA..
Abstract
Much of seismic interpretation is based on pattern recognition, such that experienced interpreters are able to extract subtle geologic features that a new interpreter may easily overlook. Seismic pattern recognition is based on the identification of changes in (1) amplitude, (2) phase, (3) frequency, (4) dip, (5) continuity, and (6) reflector configuration. Seismic attributes, which providing quantitative measures that can be subsequently used in risk analysis and data mining, partially automate the pattern recognition problem by extracting key statistical, geometric, or kinematic components of the 3D seismic volume. Early attribute analysis began with recognition of bright spots and quickly moved into the mapping of folds, faults, and channels. Although a novice interpreter may quickly recognize faults and channels on attribute time slices, karst terrains provide more complex patterns. We sought to instruct the attribute expression of a karst terrain in the western part of the Fort Worth Basin, Texas, United States of America. Karst provides a specific expression on almost every attribute. Specifically, karst in the Fort Worth Basin Ellenburger Group exhibits strong dip, negative curvature, low coherence, and a shift to lower frequencies. Geomorphologically, the inferred karst geometries seen in our study areas indicate strong structural control, whereby large-scale karst collapse is associated with faults and where karst lineaments are aligned perpendicularly to faults associated with reflector rotation anomalies.
Publisher
Society of Exploration Geophysicists
Reference37 articles.
1. 3D volumetric multispectral estimates of reflector curvature and rotation
2. Bahorich, M. S., and S. L. Farmer, 1995, 3D seismic discontinuity for faults and stratigraphic features: The coherence cube: 65th Annual International Meeting, SEG, Expanded Abstracts, 93–96.
3. Bruner, K. R., and R. Smosna, 2011, A comparative study of the Mississippian Barnett Shale, Fort Worth basin, and Devonian Marcellus Shale, Appalachian basin: Technical Report DOE/NETL/2011/1478, National Energy Technology Laboratory for the United States Department of Energy.
4. Chen, M., S. Zhan, Z. Wan, H. Zhang, and L. Li, 2010, Detecting carbonate-karst reservoir using the directional amplitude gradient difference technique: 81st Annual International Meeting, SEG, Expanded Abstracts, 1845–1849.
5. Volumetric curvature attributes add value to 3D seismic data interpretation
Cited by
61 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献