eprintid: 8184
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/81/84
datestamp: 2023-11-09 16:20:03
lastmod: 2023-11-09 16:20:03
status_changed: 2023-11-09 16:12:00
type: article
metadata_visibility: show
creators_name: Hermana, M.
creators_name: Ghosh, D.P.
creators_name: Sum, C.W.
title: Discriminating lithology and pore fill in hydrocarbon prediction from seismic elastic inversion using absorption attributes
ispublished: pub
keywords: Gamma rays; Hydrocarbons; Lithology; Petrophysics; Seismic prospecting; Seismology, Attenuation; Elastic properties; Hydrocarbon potential; Hydrocarbon predictions; Lithology discrimination; Petrophysical properties; Reservoir characterization; Seismic attributes, Forecasting, adsorption; gamma radiation; geophysics; hydrocarbon; lithology; seismic data
note: cited By 13
abstract: Separation of lithology from pore fill remains a daunting task, even if using elastic inversion. This is one of the unsolved problems for hydrocarbon prediction in Malaysian basins because of complexities coupled with lithologic trends and fluid responses, which produce an ambiguity due to equivalences. We address this problem and propose a unique transformation in which decoupling can be achieved. From the output of a constrained elastic inversion, a relationship of VP/VS and new attributes SQp and SQs related to attenuation by linking through rock physics can be derived. They are good proxies for gamma rays (SQp) and resistivity logs (SQs) and can clearly identify the zone of interest with hydrocarbon potential. These attributes can also be used for petrophysical-properties prediction with high accuracy. This breakthrough would have a considerable effect on hydrocarbon prediction and lithology discrimination. Other than being a hydrocarbon and lithology indicator, SQp and SQs can also potentially be used as input for prediction of petrophysical properties such as porosity, net-to-gross, water saturation, and resistivity transform from elastic properties. © 2017 by The Society of Exploration Geophysicists.
date: 2017
publisher: Society of Exploration Geophysicists
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85034081653&doi=10.1190%2ftle36110902.1&partnerID=40&md5=b4c00c33e28a60b624edea4e3b3f8307
id_number: 10.1190/tle36110902.1
full_text_status: none
publication: Leading Edge
volume: 36
number: 11
pagerange: 902-909
refereed: TRUE
issn: 1070485X
citation:   Hermana, M. and Ghosh, D.P. and Sum, C.W.  (2017) Discriminating lithology and pore fill in hydrocarbon prediction from seismic elastic inversion using absorption attributes.  Leading Edge, 36 (11).  pp. 902-909.  ISSN 1070485X