eprintid: 13642
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/36/42
datestamp: 2023-11-10 03:28:12
lastmod: 2023-11-10 03:28:12
status_changed: 2023-11-10 01:51:39
type: article
metadata_visibility: show
creators_name: Soto, G.J.
creators_name: Beg, M.A.
creators_name: Pöppelreiter, M.C.
creators_name: Rahmatsyah, K.
title: multiple point statistics carbonate facies modelling workflow using core data and spectral decomposition attributes: a case study from TX field in central luconia province, Malaysia
ispublished: pub
note: cited By 7
abstract: Building static models in carbonate environments proved to be complex due to the multi-dimensional nature of poroperm-systems (karst to microporosity) and biological growth architecture complex geometries imprint at a different scale from um to km. In addition, the presence of multiple erosions or lack of deposition the interpretation in the stratigraphic columns makes the development of a modelling workflow challenging using the traditional method as variogram-based algorithms that mostly ignore important geological information. A 100 km2 of 3D seismic data, 3 wells logs, 2 core well logs, and selective modern carbonate analog were integrated to define a set of carbonate geological �shapes� calibrated with core linked with facies to bring sedimentary facies architectural realism using Multiple Point Statistics geomodelling technique. This methodology, a good first pass approximation to build a meaningful facies model where depositional facies can be mapped and captured at various scales both vertically and laterally using the input data with relevant contribution and weight. © 2020
date: 2020
publisher: Slovnaft VURUP a.s
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098989378&partnerID=40&md5=affd5d5c6e2fc9c9c4a248c50e385cf8
full_text_status: none
publication: Petroleum and Coal
volume: 62
number: 4
pagerange: 1209-1224
refereed: TRUE
issn: 13377027
citation:   Soto, G.J. and Beg, M.A. and Pöppelreiter, M.C. and Rahmatsyah, K.  (2020) multiple point statistics carbonate facies modelling workflow using core data and spectral decomposition attributes: a case study from TX field in central luconia province, Malaysia.  Petroleum and Coal, 62 (4).  pp. 1209-1224.  ISSN 13377027