@article{scholars13642,
           pages = {1209--1224},
       publisher = {Slovnaft VURUP a.s},
         journal = {Petroleum and Coal},
            year = {2020},
           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},
          number = {4},
          volume = {62},
            note = {cited By 7},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098989378&partnerID=40&md5=affd5d5c6e2fc9c9c4a248c50e385cf8},
        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 {\^a}??shapes{\^a}?? 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. {\^A}{\copyright} 2020},
          author = {Soto, G. J. and Beg, M. A. and P{\~A}{\P}ppelreiter, M. C. and Rahmatsyah, K.},
            issn = {13377027}
}