eprintid: 7318
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/73/18
datestamp: 2023-11-09 16:19:07
lastmod: 2023-11-09 16:19:07
status_changed: 2023-11-09 16:09:03
type: conference_item
metadata_visibility: show
creators_name: Hermana, M.
creators_name: Ghosh, D.P.
creators_name: Sum, C.W.
title: Optimizing the lithology and pore fluid separation using attenuation attributes
ispublished: pub
keywords: Gamma rays; Gas industry; Gases; Lithology; Offshore oil well production; Offshore oil wells; Offshore petroleum prospecting; Offshore technology; Radioactivity logging; Sand; Seismology; Separation; Shale, Coefficient correlations; Hydrocarbon prospects; Inversion results; Oil and Gas Industry; Sand formations; Seismic amplitudes; Seismic attenuation; Water saturations, Oil well logging
note: cited By 13; Conference of Offshore Technology Conference Asia 2016, OTCA 2016 ; Conference Date: 22 March 2016 Through 25 March 2016; Conference Code:138191
abstract: Ambiguity and pitfalls in amplitude interpretation to determine the hydrocarbon prospects is the most challenging problem in oil and gas industry, including in the Malay Basin Field. These pitfalls are caused by a dualism of the lithological and pore fluid effect on seismic amplitude. Many techniques have been proposed to solve the problem. However, the optimum separation of that ambiguity is still difficult to be achieved. The objective of this paper is to demonstrate new attributes derived from seismic attenuation - rock physics approximation as an alternative technique for lithology and pore fluid discrimination. New attributes namely SQp and SQs have been developed based on seismic attenuation-rock physics approximation. Testing on model and real data sets from Malay Basin have been conducted. The results show that the SQs attribute is sensitive to the water saturation changes, while the SQp is sensitive to the lithology changes. In well log, the SQs attribute has the highest coefficient correlation with water saturation compared with other existing fluid indicators, while SQp attribute has the highest correlation with gamma ray log. The cross plotting of these attributes show that the lithology and pore fluid effect are separated orthogonally to each other. The lithology differences are distinguished in the SQp attribute, while the fluid types are distinguished in SQs attribute. The gas sand is separable from shale background and wet sand easily. Furthermore, the coal effect can be distinguished clearly from gas sand. The implementation of those attributes on inversion result shows that SQs attribute is able to delineate the gas sand from wet sand that cannot be done by SQp attribute. Meanwhile, the SQp attribute can capture all the sand formations including gas sand and wet sand which is distinguished from shale background. © 2016, Offshore Technology Conference
date: 2016
publisher: Offshore Technology Conference
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85040252807&doi=10.4043%2f26437-ms&partnerID=40&md5=82423ea2430e54ae40705473e98753be
id_number: 10.4043/26437-ms
full_text_status: none
publication: Offshore Technology Conference Asia 2016, OTCA 2016
pagerange: 3196-3203
refereed: TRUE
isbn: 9781510830721
citation:   Hermana, M. and Ghosh, D.P. and Sum, C.W.  (2016) Optimizing the lithology and pore fluid separation using attenuation attributes.  In: UNSPECIFIED.