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Seismic geologic structure characterization using a high-order spectrum-coherence attribute

Liu Naihao, Li Zhen, Sun Fengyuan, Fangyu Li and Gao Jinghuai
Seismic geologic structure characterization using a high-order spectrum-coherence attribute
Interpretation (Tulsa) (May 2020) 8 (2): T391-T401

Abstract

Characterization of seismic geologic structures, such as describing fluvial channels and geologic faults, is significant for seismic reservoir prediction. The coherence algorithm is one of the widely used techniques for describing discontinuous seismic geologic structures. However, precise coherence attributes between adjacent seismic traces are difficult to compute due to the nonstationary and non-Gaussian property of seismic data. To describe seismic geologic structures accurately, we define a high-order spectrum-coherence (HOSC) attribute. First, we have developed a time-frequency (TF) analysis method to compute a constant-frequency seismic volume with high TF resolution, i.e., the second-order synchrosqueezing wave packet transform. Then, we developed a coherence approach by combining the mutual information (MI) calculation and coherence algorithm based on the eigenvalue computation (C3). To improve computational efficiency, we adopt the information divergence instead of the eigenvalue calculation of the C3-based algorithms. By applying our coherence algorithm to constant-frequency seismic volumes, we obtain the HOSC attribute. To test the validity of the proposed workflow, we evaluate the HOSC attribute using synthetic data. After applying our workflow to 3D real seismic data located in eastern China, the HOSC attribute characterizes seismic geologic discontinuities and subtle features clearly and accurately, such as fluvial channels and subtle faults.


ISSN: 2324-8858
EISSN: 2324-8866
Serial Title: Interpretation (Tulsa)
Serial Volume: 8
Serial Issue: 2
Title: Seismic geologic structure characterization using a high-order spectrum-coherence attribute
Affiliation: Xi'an Jiaotong University, School of Information and Communications Engineering, Xi'an, China
Pages: T391-T401
Published: 202005
Text Language: English
Publisher: Society of Exploration Geophysicists, Tulsa, OK, United States
References: 48
Accession Number: 2020-039407
Categories: Economic geology, geology of energy sourcesApplied geophysics
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. block diag., sketch map
N20°00'00" - N53°00'00", E74°00'00" - E135°00'00"
Secondary Affiliation: Guilin University of Electronic Technology, CHN, ChinaUniversity of Georgia, USA, United States
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2020, American Geosciences Institute. Reference includes data from GeoScienceWorld, Alexandria, VA, United States. Reference includes data supplied by Society of Exploration Geophysicists, Tulsa, OK, United States
Update Code: 2020
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