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.

Building static models in carbonate environments proved to be complex due to the multi-dimensional nature of poro- perm-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...

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Bibliographic Details
Published in:Petroleum & Coal Vol. 62; no. 4; pp. 1209 - 1225
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Format: Article
Published: Slovnaft VURUP a.s., 2020
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Online Access:View this record in EBSCOhost
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Summary:Building static models in carbonate environments proved to be complex due to the multi-dimensional nature of poro- perm-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.