eprintid: 8217
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/82/17
datestamp: 2023-11-09 16:20:05
lastmod: 2023-11-09 16:20:05
status_changed: 2023-11-09 16:12:05
type: conference_item
metadata_visibility: show
creators_name: Shamsuddin, S.Z.
creators_name: Hermana, M.
creators_name: Ghosh, D.P.
creators_name: Salim, A.M.A.
title: Reducing Uncertainties in Hydrocarbon Prediction through Application of Elastic Domain
ispublished: pub
keywords: Earth sciences; Gamma rays; Geology; Hydrocarbons; Lithology; Radioactivity logging; Separation; Well logging, Elastic domain; Elastic impedance; Fluid-elastic; Hydrocarbon predictions; Rock physics analysis; Seismic inversion; Water saturations; Well logging data, Acoustic impedance
note: cited By 2; Conference of 5th International Conferences on Geological, Geographical, Aerospaces and Earth Sciences 2017, AeroEarth 2017 ; Conference Date: 20 May 2017 Through 21 May 2017; Conference Code:131444
abstract: The application of lithology and fluid indicators has helped the geophysicists to discriminate reservoirs to non-reservoirs from a field. This analysis is conducted to select the most suitable lithology and fluid indicator for the Malaysian basins that could lead to better eliminate pitfalls of amplitude. This paper uses different rock physics analysis such as elastic impedance, Lambda-Mu-Rho, and SQp-SQs attribute. Litho-elastic impedance log is generated by correlating the gamma ray log with extended elastic impedance log. The same application is used for fluid-elastic impedance by correlation of EEI log with water saturation or resistivity. The work is done on several well logging data collected from different fields in Malay basin and its neighbouring basin. There's an excellent separation between hydrocarbon sand and background shale for Well-1 from different cross-plot analysis. Meanwhile, the Well-2 shows good separation in LMR plot. The similar method is done on the Well-3 shows fair separation of silty sand and gas sand using SQp-SQs attribute which can be correlated with well log. Based on the point distribution histogram plot, different lithology and fluid can be separated clearly. Simultaneous seismic inversion results in acoustic impedance, Vp/Vs, SQp, and SQs volumes. There are many attributes available in the industry used to separate the lithology and fluid, however some of the methods are not suitable for the application to the basins in Malaysia. © Published under licence by IOP Publishing Ltd.
date: 2017
publisher: Institute of Physics Publishing
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033225605&doi=10.1088%2f1755-1315%2f88%2f1%2f012004&partnerID=40&md5=b9d9acff6e301c3ec3b5ff34dfb9ce00
id_number: 10.1088/1755-1315/88/1/012004
full_text_status: none
publication: IOP Conference Series: Earth and Environmental Science
volume: 88
number: 1
refereed: TRUE
issn: 17551307
citation:   Shamsuddin, S.Z. and Hermana, M. and Ghosh, D.P. and Salim, A.M.A.  (2017) Reducing Uncertainties in Hydrocarbon Prediction through Application of Elastic Domain.  In: UNSPECIFIED.