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Value of nonstationary wavelet spectral balancing in mapping a faulted fluvial system, Bohai Gulf, China

Zhou Huailai, Wang Yuanjun, Tengfei Lin, Fangyu Li and Kurt J. Marfurt
Value of nonstationary wavelet spectral balancing in mapping a faulted fluvial system, Bohai Gulf, China (in Thin beds, Anonymous)
Interpretation (Tulsa) (August 2015) 3 (3): SS1-SS13

Abstract

Seismic data with enhanced resolution allow interpreters to effectively delineate and interpret architectural components of stratigraphically thin geologic features. We used a recently developed time-frequency domain deconvolution method to spectrally balance nonstationary seismic data. The method was based on polynomial fitting of seismic wavelet magnitude spectra. The deconvolution increased the spectral bandwidth but did not amplify random noise. We compared our new spectral modeling algorithm with existing time-variant spectral-whitening and inverse Q-filtering algorithms using a 3D offshore survey acquired over Bohai Gulf, China. We mapped these improvements spatially using a suite of 3D volumetric coherence, energy, curvature, and frequency attributes. The resulting images displayed improved lateral resolution of channel edges and fault edges with few, if any artifacts associated with amplification of random noise.


ISSN: 2324-8858
EISSN: 2324-8866
Serial Title: Interpretation (Tulsa)
Serial Volume: 3
Serial Issue: 3
Title: Value of nonstationary wavelet spectral balancing in mapping a faulted fluvial system, Bohai Gulf, China
Title: Thin beds
Affiliation: Chengdu University of Technology, Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu, China
Pages: SS1-SS13
Published: 201508
Text Language: English
Publisher: Society of Exploration Geophysicists, Tulsa, OK, United States
References: 41
Accession Number: 2015-073895
Categories: Applied geophysics
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. sects.
N37°00'00" - N41°00'00", E117°30'00" - E119°00'00"
Secondary Affiliation: University of Oklahoma, USA, United States
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2017, 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: 201532
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