relation: https://khub.utp.edu.my/scholars/14298/
title: Reservoir characterisation of high-pressure, high-temperature zone of malay basin using seismic inversion and artificial neural network approach
creator: Yazmyradova, G.
creator: Hassan, N.N.A.A.N.M.
creator: Salleh, N.F.
creator: Hermana, M.
creator: Soleimani, H.
description: The growing demand for hydrocarbons has driven the exploration of riskier prospects in depths, pressures, and temperatures. Substantial volumes of hydrocarbons lie within deep formations, classified as high pressure, high temperature (HPHT) zone. This study aims to delineate hydrocarbon potential in the HPHT zone of the Malay Basin through the integrated application of rock physics analysis, pre-stack seismic inversion, and artificial neural network (ANN). The zones of interest lie within Sepat Field, located offshore Peninsular Malaysia, focusing on the HPHT area in Group H. The rock physics technique involves the cross-plotting of rock properties, which helps to differentiate the lithology of sand and shale and discriminates the fluid into water and hydrocarbon. The P-impedance, S-impedance, Vp/Vs ratio, density, scaled inverse quality factor of P (SQp), and scaled inverse quality factor of S (SQs) volumes are generated from pre-stack seismic inversion of 3D seismic data. The obtained volumes demonstrate spatial variations of values within the zone of interest, indicating hydrocarbon accumulation. Furthermore, the ANN model is successfully trained, tested, and validated using 3D elastic properties as input, to predict porosity volume. Finally, the trained neural network is applied to the entire reservoir volume to attain a 3D porosity model. The results reveal that rock physics study, pre-stack seismic inversion, and ANN approach helps to recognize reservoir rock and fluids in the HPHT zone. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
publisher: MDPI
date: 2021
type: Article
type: PeerReviewed
identifier:   Yazmyradova, G. and Hassan, N.N.A.A.N.M. and Salleh, N.F. and Hermana, M. and Soleimani, H.  (2021) Reservoir characterisation of high-pressure, high-temperature zone of malay basin using seismic inversion and artificial neural network approach.  Applied Sciences (Switzerland), 11 (21).   ISSN 20763417     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118560942&doi=10.3390%2fapp112110248&partnerID=40&md5=67c32059e7d2088158a1c8df208344e9
relation: 10.3390/app112110248
identifier: 10.3390/app112110248