%0 Journal Article
%@ 13377027
%A Soto, G.J.
%A Beg, M.A.
%A Pöppelreiter, M.C.
%A Rahmatsyah, K.
%D 2020
%F scholars:13642
%I Slovnaft VURUP a.s
%J Petroleum and Coal
%N 4
%P 1209-1224
%T 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
%U https://khub.utp.edu.my/scholars/13642/
%V 62
%X 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
%Z cited By 7