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Combining multiseismic attributes with an extended octree quantization method

Saleh Al-Dossary, Jinsong Wang and Yuchun E. Wang
Combining multiseismic attributes with an extended octree quantization method
Interpretation (Tulsa) (May 2019) 7 (2): SC11-SC19

Abstract

Seismic interpreters and processors encounter ever-increasing volumes of seismic attributes in geophysical exploration each year. Multiattribute integration and classification improve the ability to identify geologic facies and reservoir properties, such as thickness, fluid type, fracture intensity, and orientation. Simple color mixing technology allows us to display three attributes simultaneously. To overcome this limit, we extend from three nodes to up to eight nodes octree color quantization originated from image processing of compressing colors to handle eight groups of attributes to form a single attribute. We can then apply the group reduction criterion for geophysical data classification to reveal common geologic targets while preserving the small variations or thin layers often present in hydrocarbon reservoirs. By combining multiple attributes, we hope to see all individual geologic features in the same image but also channels that might not be visible in any single attribute and to focus on major geobodies through group reduction classification on combined data. We first applied the method to a 2D section of poststack seismic data and well logs to test its validity, and then we further used it on scaled curvatures and other 3D seismic attributes to showcase the aforementioned benefits. Storage efficiency is a noted additional advantage of octree. However, the importance of selecting relevant attributes for octree application cannot be underestimated and requires the involvement of experienced seismic interpreters.


ISSN: 2324-8858
EISSN: 2324-8866
Serial Title: Interpretation (Tulsa)
Serial Volume: 7
Serial Issue: 2
Title: Combining multiseismic attributes with an extended octree quantization method
Affiliation: Saudi Aramco, Dhahran, Saudi Arabia
Pages: SC11-SC19
Published: 201905
Text Language: English
Publisher: Society of Exploration Geophysicists, Tulsa, OK, United States
References: 10
Accession Number: 2019-036086
Categories: Applied geophysics
Document Type: Serial
Bibliographic Level: Analytic
Annotation: Special section: Seismic geometric attributes
Illustration Description: illus.
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2019, American Geosciences Institute. Reference includes data supplied by Society of Exploration Geophysicists, Tulsa, OK, United States
Update Code: 201909
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