Characterization of shale�s sweet-spots

This study draws together pre-stack inversion, basic rock physics analysis, and well-log to discuss how to identify and characterize the shale �sweet-spots�. First, consider the influence parameters to model the amplitude variation with offset (AVO) synthetic results to explain the shale charact...

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Main Authors: Prajapati, S., Padmanabhan, E.
Format: Conference or Workshop Item
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.29494 /
Published: European Association of Geoscientists and Engineers, EAGE 2021
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111016528&doi=10.3997%2f2214-4609.202171005&partnerID=40&md5=11926eafb60049a8bce336f85fb4c051
http://eprints.utp.edu.my/29494/
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spelling utp-eprints.294942022-03-25T02:07:51Z Characterization of shale�s sweet-spots Prajapati, S. Padmanabhan, E. This study draws together pre-stack inversion, basic rock physics analysis, and well-log to discuss how to identify and characterize the shale �sweet-spots�. First, consider the influence parameters to model the amplitude variation with offset (AVO) synthetic results to explain the shale characteristics. Then using elastic inversion results imposed on well-log data to separate the Shale and Sand reservoir. The results show that velocity and Poisson ratio are the most sensitive elastic parameters to indicate the lithologic properties of sweet spot in tight sandstone reservoir. The P-impedance and porosity relationship clearly explain the shale characteristics and discriminate with the other lithological properties. Such kind of study open the possibility and opportunity to understand about shale fracture reservoir, as shale itself contain an anisotropy behavior with extremely low permeability. © EAGE Asia Pacific Virtual Geoscience Week 2021. All rights reserved. European Association of Geoscientists and Engineers, EAGE 2021 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111016528&doi=10.3997%2f2214-4609.202171005&partnerID=40&md5=11926eafb60049a8bce336f85fb4c051 Prajapati, S. and Padmanabhan, E. (2021) Characterization of shale�s sweet-spots. In: UNSPECIFIED. http://eprints.utp.edu.my/29494/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description This study draws together pre-stack inversion, basic rock physics analysis, and well-log to discuss how to identify and characterize the shale �sweet-spots�. First, consider the influence parameters to model the amplitude variation with offset (AVO) synthetic results to explain the shale characteristics. Then using elastic inversion results imposed on well-log data to separate the Shale and Sand reservoir. The results show that velocity and Poisson ratio are the most sensitive elastic parameters to indicate the lithologic properties of sweet spot in tight sandstone reservoir. The P-impedance and porosity relationship clearly explain the shale characteristics and discriminate with the other lithological properties. Such kind of study open the possibility and opportunity to understand about shale fracture reservoir, as shale itself contain an anisotropy behavior with extremely low permeability. © EAGE Asia Pacific Virtual Geoscience Week 2021. All rights reserved.
format Conference or Workshop Item
author Prajapati, S.
Padmanabhan, E.
spellingShingle Prajapati, S.
Padmanabhan, E.
Characterization of shale�s sweet-spots
author_sort Prajapati, S.
title Characterization of shale�s sweet-spots
title_short Characterization of shale�s sweet-spots
title_full Characterization of shale�s sweet-spots
title_fullStr Characterization of shale�s sweet-spots
title_full_unstemmed Characterization of shale�s sweet-spots
title_sort characterization of shale�s sweet-spots
publisher European Association of Geoscientists and Engineers, EAGE
publishDate 2021
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111016528&doi=10.3997%2f2214-4609.202171005&partnerID=40&md5=11926eafb60049a8bce336f85fb4c051
http://eprints.utp.edu.my/29494/
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score 11.62408