eprintid: 7332
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/73/32
datestamp: 2023-11-09 16:19:08
lastmod: 2023-11-09 16:19:08
status_changed: 2023-11-09 16:09:06
type: conference_item
metadata_visibility: show
creators_name: Purnomo, E.W.
creators_name: Ghosh, D.P.
title: Optimizing full stacked PP-PS seismic data interpretation
ispublished: pub
note: cited By 1; Conference of SEG International Exposition and 86th Annual Meeting, SEG 2016 ; Conference Date: 16 October 2011 Through 21 October 2011; Conference Code:135698
abstract: This paper optimizes the interpretation of a full stacked PP and PS data. The optimization is done in two important stages that are PP time PS registration and the data inversion. An enhanced major event analysis is developed to optimize the PS to PP time registration. It contains an automatic event picking and objective function minimization. That is a simple technique, however fast and provides good PS to PP data alignment. An innovative stochastic inversion is then used to estimate the compressional (P), share (S) impedance and Vp/Vs ratio from the PP-PS data set. The inversion uses seismic attributes, both in time and frequency domain, and locally varying anisotropy (LVA) to build prior model and to enhance the selection criteria. Iterative low frequency model inclusion is implemented during inversion process. Using more constraint from seismic attributes and iterative low frequency model inclusion, the inversion yields high detail properties in all over the data volume with highly consistence to well log and seismic data. The availability of PS data enhances the full stacked seismic data inversion to provide share impedance as well as Vp/Vs ratio properties which are very useful for not only reconstructing the reservoir structure but also predicting the lithology and pore fluid. © 2016 SEG.
date: 2016
publisher: Society of Exploration Geophysicists
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019142040&doi=10.1190%2fsegam2016-13878341.1&partnerID=40&md5=b6f7d6e158e3748df798e4162513fc0d
id_number: 10.1190/segam2016-13878341.1
full_text_status: none
publication: SEG Technical Program Expanded Abstracts
volume: 35
pagerange: 2329-2333
refereed: TRUE
issn: 10523812
citation:   Purnomo, E.W. and Ghosh, D.P.  (2016) Optimizing full stacked PP-PS seismic data interpretation.  In: UNSPECIFIED.