Estimation of anisotropy-free acoustic impedance from partial-stack seismic inversion: A case study from Inas Field, Malay Basin.

Seismic velocity is a pivotal geophysical property that contains important information about Earth layers. The layering of Earth, clay content and fractures within layers are the main causes of the dependence of seismic velocity on the angle of incidence which is called: �Seismic Anisotropy�. Se...

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Main Authors: Gouda, M., Salim, A.M.A., Hamada, G.
Format: Conference or Workshop Item
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.30218 /
Published: European Association of Geoscientists and Engineers, EAGE 2019
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087227118&doi=10.3997%2f2214-4609.201900376&partnerID=40&md5=2ff8768c6f5b139889f3036e11c2c6ec
http://eprints.utp.edu.my/30218/
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spelling utp-eprints.302182022-03-25T06:38:30Z Estimation of anisotropy-free acoustic impedance from partial-stack seismic inversion: A case study from Inas Field, Malay Basin. Gouda, M. Salim, A.M.A. Hamada, G. Seismic velocity is a pivotal geophysical property that contains important information about Earth layers. The layering of Earth, clay content and fractures within layers are the main causes of the dependence of seismic velocity on the angle of incidence which is called: �Seismic Anisotropy�. Seismic anisotropy affects the velocity-dependant attributes such as Acoustic Impedance resulting in misinterpretation of seismic data. Consequently, anisotropy correction of acoustic impedance is important to mitigate the uncertainty. Anisotropy parameters can be obtained from core data and well logs with various methods. However, the common limitation in the previous work is that anisotropy is obtained at well locations neglecting the lateral heterogeneity of layers. This study aims to obtain anisotropy-free acoustic impedance (Zp0) from the partial-stack inversion of near, mid and far-angle stacks. The outputs of the inversion are used to obtain Zp0 by three different methods: the refactorization of Thomsen's anisotropy equation, statistical modelling, and the MultiLayer Feedforward Neural Network Theory (MLFN). The results obtained from the MLFN and the refactorized Thomsen's model showed better matching with impedance logs, more obvious lateral continuity of layers and more enhanced amplitude spectrum compared to the uncorrected P-impedance. Such improvement reduces the uncertainty of the final reservoir model. © 2019 EAGE-GSM 2nd Asia Pacific Meeting on Near Surface Geoscience and Engineering.All right reserved. European Association of Geoscientists and Engineers, EAGE 2019 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087227118&doi=10.3997%2f2214-4609.201900376&partnerID=40&md5=2ff8768c6f5b139889f3036e11c2c6ec Gouda, M. and Salim, A.M.A. and Hamada, G. (2019) Estimation of anisotropy-free acoustic impedance from partial-stack seismic inversion: A case study from Inas Field, Malay Basin. In: UNSPECIFIED. http://eprints.utp.edu.my/30218/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Seismic velocity is a pivotal geophysical property that contains important information about Earth layers. The layering of Earth, clay content and fractures within layers are the main causes of the dependence of seismic velocity on the angle of incidence which is called: �Seismic Anisotropy�. Seismic anisotropy affects the velocity-dependant attributes such as Acoustic Impedance resulting in misinterpretation of seismic data. Consequently, anisotropy correction of acoustic impedance is important to mitigate the uncertainty. Anisotropy parameters can be obtained from core data and well logs with various methods. However, the common limitation in the previous work is that anisotropy is obtained at well locations neglecting the lateral heterogeneity of layers. This study aims to obtain anisotropy-free acoustic impedance (Zp0) from the partial-stack inversion of near, mid and far-angle stacks. The outputs of the inversion are used to obtain Zp0 by three different methods: the refactorization of Thomsen's anisotropy equation, statistical modelling, and the MultiLayer Feedforward Neural Network Theory (MLFN). The results obtained from the MLFN and the refactorized Thomsen's model showed better matching with impedance logs, more obvious lateral continuity of layers and more enhanced amplitude spectrum compared to the uncorrected P-impedance. Such improvement reduces the uncertainty of the final reservoir model. © 2019 EAGE-GSM 2nd Asia Pacific Meeting on Near Surface Geoscience and Engineering.All right reserved.
format Conference or Workshop Item
author Gouda, M.
Salim, A.M.A.
Hamada, G.
spellingShingle Gouda, M.
Salim, A.M.A.
Hamada, G.
Estimation of anisotropy-free acoustic impedance from partial-stack seismic inversion: A case study from Inas Field, Malay Basin.
author_sort Gouda, M.
title Estimation of anisotropy-free acoustic impedance from partial-stack seismic inversion: A case study from Inas Field, Malay Basin.
title_short Estimation of anisotropy-free acoustic impedance from partial-stack seismic inversion: A case study from Inas Field, Malay Basin.
title_full Estimation of anisotropy-free acoustic impedance from partial-stack seismic inversion: A case study from Inas Field, Malay Basin.
title_fullStr Estimation of anisotropy-free acoustic impedance from partial-stack seismic inversion: A case study from Inas Field, Malay Basin.
title_full_unstemmed Estimation of anisotropy-free acoustic impedance from partial-stack seismic inversion: A case study from Inas Field, Malay Basin.
title_sort estimation of anisotropy-free acoustic impedance from partial-stack seismic inversion: a case study from inas field, malay basin.
publisher European Association of Geoscientists and Engineers, EAGE
publishDate 2019
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087227118&doi=10.3997%2f2214-4609.201900376&partnerID=40&md5=2ff8768c6f5b139889f3036e11c2c6ec
http://eprints.utp.edu.my/30218/
_version_ 1741197369008979968
score 11.62408

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