A new seismic attribute for ambiguity reduction in hydrocarbon prediction

Hydrocarbon prediction from seismic amplitude and amplitude-versus-offset is a daunting task. Amplitude interpretation is ambiguous due to the effects of lithology and pore fluid. In this paper, we propose a new attribute “J” based on a Gassmann–Biot fluid substitution to reduce ambiguity. Constrain...

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Main Authors: Liu, C., Ghosh, D.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.19697 /
Published: Blackwell Publishing Ltd 2017
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962809059&doi=10.1111%2f1365-2478.12367&partnerID=40&md5=ee13e2016bc25ea3861ed64b2b308633
http://eprints.utp.edu.my/19697/
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spelling utp-eprints.196972018-04-20T07:32:20Z A new seismic attribute for ambiguity reduction in hydrocarbon prediction Liu, C. Ghosh, D. Hydrocarbon prediction from seismic amplitude and amplitude-versus-offset is a daunting task. Amplitude interpretation is ambiguous due to the effects of lithology and pore fluid. In this paper, we propose a new attribute “J” based on a Gassmann–Biot fluid substitution to reduce ambiguity. Constrained by seismic and rock physics, the J attribute has good ability to detect hydrocarbons from seismic data. There are currently many attributes for hydrocarbon prediction. Among the existing attributes, far-minus-near times far and fluid factor are commonly used. In this paper, the effectiveness of these two existing attributes was compared with the new attribute. Numerical modelling was used to test the new attribute “J” and to compare “J” with the two existing attributes. The results showed that the J attribute can predict the existence of hydrocarbon in different porosity scenarios with less ambiguity than the other two attributes. Tests conducted with real seismic data demonstrated the effectiveness of the J attribute. The J attribute has performed well in scenarios in which the other two attributes gave inaccurate predictions. The proposed attribute “J” is fast and simple, and it could be used as a first step in hydrocarbon analysis for exploration. © 2016 European Association of Geoscientists & Engineers Blackwell Publishing Ltd 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962809059&doi=10.1111%2f1365-2478.12367&partnerID=40&md5=ee13e2016bc25ea3861ed64b2b308633 Liu, C. and Ghosh, D. (2017) A new seismic attribute for ambiguity reduction in hydrocarbon prediction. Geophysical Prospecting, 65 (1). pp. 229-239. http://eprints.utp.edu.my/19697/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Hydrocarbon prediction from seismic amplitude and amplitude-versus-offset is a daunting task. Amplitude interpretation is ambiguous due to the effects of lithology and pore fluid. In this paper, we propose a new attribute “J” based on a Gassmann–Biot fluid substitution to reduce ambiguity. Constrained by seismic and rock physics, the J attribute has good ability to detect hydrocarbons from seismic data. There are currently many attributes for hydrocarbon prediction. Among the existing attributes, far-minus-near times far and fluid factor are commonly used. In this paper, the effectiveness of these two existing attributes was compared with the new attribute. Numerical modelling was used to test the new attribute “J” and to compare “J” with the two existing attributes. The results showed that the J attribute can predict the existence of hydrocarbon in different porosity scenarios with less ambiguity than the other two attributes. Tests conducted with real seismic data demonstrated the effectiveness of the J attribute. The J attribute has performed well in scenarios in which the other two attributes gave inaccurate predictions. The proposed attribute “J” is fast and simple, and it could be used as a first step in hydrocarbon analysis for exploration. © 2016 European Association of Geoscientists & Engineers
format Article
author Liu, C.
Ghosh, D.
spellingShingle Liu, C.
Ghosh, D.
A new seismic attribute for ambiguity reduction in hydrocarbon prediction
author_sort Liu, C.
title A new seismic attribute for ambiguity reduction in hydrocarbon prediction
title_short A new seismic attribute for ambiguity reduction in hydrocarbon prediction
title_full A new seismic attribute for ambiguity reduction in hydrocarbon prediction
title_fullStr A new seismic attribute for ambiguity reduction in hydrocarbon prediction
title_full_unstemmed A new seismic attribute for ambiguity reduction in hydrocarbon prediction
title_sort new seismic attribute for ambiguity reduction in hydrocarbon prediction
publisher Blackwell Publishing Ltd
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962809059&doi=10.1111%2f1365-2478.12367&partnerID=40&md5=ee13e2016bc25ea3861ed64b2b308633
http://eprints.utp.edu.my/19697/
_version_ 1741196248546803712
score 11.62408

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