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Seismic inversion with adaptive edge-preserving smoothing preconditioning on impedance model

Dai Ronghuo, Yin Cheng, Nueraili Zaman and Zhang Fanchang
Seismic inversion with adaptive edge-preserving smoothing preconditioning on impedance model
Geophysics (January 2019) 84 (1): R25-R33

Abstract

Poststack seismic impedance inversion is an effective approach for reservoir prediction. Due to the sensitivity to noise and the oscillation near the bed boundary, Gaussian distribution constrained seismic inversion is unfavorable to delineate the subtle-reservoir and small-scale geologic features. To overcome this shortcoming, we have developed a new method that incorporates a priori knowledge in the seismic inversion through a preconditioning impedance model using the adaptive edge-preserving smoothing (Ad-EPS) filter. The Ad-EPS filter preconditioned impedance model for a blocky solution makes the formation interfaces and geologic edges more precise and sharper in the inverted impedance results and keeps the inversion procedure robust even if random noise exists in the seismic data. Furthermore, compared with the conventional EPS filter, the Ad-EPS filter is able to resolve thick and thin geologic features through window size scanning, which is used to find the best-fitting window size for each sample to be filtered. The results of numerical examples and real seismic data test indicate that our inversion method can suppress noise to obtain a "blocky" inversion result and preserve small geologic features.


ISSN: 0016-8033
EISSN: 1942-2156
Coden: GPYSA7
Serial Title: Geophysics
Serial Volume: 84
Serial Issue: 1
Title: Seismic inversion with adaptive edge-preserving smoothing preconditioning on impedance model
Affiliation: Southwest Petroleum University, School of Geoscience and Technology, Chengdu, China
Pages: R25-R33
Published: 201901
Text Language: English
Publisher: Society of Exploration Geophysicists, Tulsa, OK, United States
References: 42
Accession Number: 2019-006912
Categories: Applied geophysicsEconomic geology, geology of energy sources
Document Type: Serial
Bibliographic Level: Analytic
Annotation: Includes appendices
Illustration Description: illus. incl. 2 tables
Secondary Affiliation: China National Petroleum Corporation, CHN, ChinaChina University of Petroleum, CHN, China
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: 201906
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