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Semisupervised multiattribute seismic facies analysis

Jie Qi, Tengfei Lin, Tao Zhao, Fangyu Li and Kurt J. Marfurt
Semisupervised multiattribute seismic facies analysis
Interpretation (Tulsa) (February 2016) 4 (1): SB91-SB106

Abstract

One of the key components of traditional seismic interpretation is to associate or "label" a specific seismic amplitude package of reflectors with an appropriate seismic or geologic facies. The object of seismic clustering algorithms is to use a computer to accelerate this process, allowing one to generate interpreted facies for large 3D volumes. Determining which attributes best quantify a specific amplitude or morphology component seen by the human interpreter is critical to successful clustering. Unfortunately, many patterns, such as coherence images of salt domes, result in a salt-and-pepper classification. Application of 3D Kuwahara median filters smooths the interior attribute response and sharpens the contrast between neighboring facies, thereby preconditioning the attribute volumes for subsequent clustering. In our workflow, the interpreter manually painted target facies using traditional interpretation techniques, resulting in attribute training data for each facies. Candidate attributes were evaluated by crosscorrelating their histogram for each facies with low correlation implying good facies discrimination, and Kuwahara filtering significantly increased this discrimination. Multiattribute voxels for the interpreter-painted facies were projected against a generative topographical mapping manifold, resulting in probability density functions (PDFs). The Bhattacharyya distance between the PDF of each unlabeled voxel to each of facies PDFs resulted in a probability volume of each user-defined facies. We have determined the effectiveness of this workflow to a large 3D seismic volume acquired offshore Louisiana, USA.


ISSN: 2324-8858
EISSN: 2324-8866
Serial Title: Interpretation (Tulsa)
Serial Volume: 4
Serial Issue: 1
Title: Semisupervised multiattribute seismic facies analysis
Affiliation: University of Oklahoma, ConocoPhillips School of Geology and Geophysics, Norman, OK, United States
Pages: SB91-SB106
Published: 201602
Text Language: English
Publisher: Society of Exploration Geophysicists, Tulsa, OK, United States
References: 25
Accession Number: 2017-008930
Categories: Applied geophysics
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. 2 tables
N18°00'00" - N30°04'00", W98°00'00" - W80°30'00"
N29°00'00" - N33°00'00", W94°04'60" - W89°00'00"
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2017, American Geosciences Institute.
Update Code: 201708
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