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Facies analysis by integrating 3D seismic attributes and well logs for prospect identification and evaluation; a case study from northwest China

Wang Xingjian, Bo Zhang, Zhao Tao, Junbo Hang, Wu Hao and Ziquan Yong
Facies analysis by integrating 3D seismic attributes and well logs for prospect identification and evaluation; a case study from northwest China
Interpretation (Tulsa) (May 2017) 5 (2): SE61-SE74

Abstract

Characterization of facies within a hydrocarbon reservoir is essential for potential prospect identification and evaluation. We have developed a practical workflow that integrates poststack seismic attributes and well-log facies analysis to understand the development and depositional setting of the Triassic-age Akekule Formation in Tahe field, Northwest China. The workflow begins with sequence and sedimentary cycle analysis on selected benchmark wells. We then identify sand bodies within each sedimentary cycle using well logs. The analysis from well logs and drilling cuttings together illustrate that there exist five sand bodies within the fourth member of Akekule Formation. We next predict the horizontal distribution of each sand body based on the facies analysis on well logs. We finally perform multiple poststack seismic attributes analyses to identify seismic facies. Multiattribute analysis is implemented either through corendering multiple seismic attributes or neural network clustering on multiple seismic attributes. The lithofacies obtained from seismic attribute analysis is calibrated with facies identified using well logs.


ISSN: 2324-8858
EISSN: 2324-8866
Serial Title: Interpretation (Tulsa)
Serial Volume: 5
Serial Issue: 2
Title: Facies analysis by integrating 3D seismic attributes and well logs for prospect identification and evaluation; a case study from northwest China
Affiliation: Chengdu University of Technology, State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu, China
Pages: SE61-SE74
Published: 201705
Text Language: English
Publisher: Society of Exploration Geophysicists, Tulsa, OK, United States
References: 21
Accession Number: 2017-051945
Categories: Economic geology, geology of energy sourcesApplied geophysics
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. tables, strat. col., sketch map
N41°15'00" - N41°15'00", E84°00'00" - E84°00'00"
Secondary Affiliation: University of Alabama, USA, United StatesUniversity 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: 201728
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