Asido Saputra, M. Puput Erlangga, Handoyo, Egie Wijaksono
Lithofacies classification is one of the key modelling components in reservoir characterization. Log-facies classification methods aim to estimate a profile of facies at the well location based on the values of rock properties measured or computed in well log analysis (such as density, porosity, P-Wave, shale content and mineralogy). In this study, the classification of lithofacies was carried out in X field. The first step of classification lithofacies is cross-plot of each petrophysical data, the result of this step is used as a priori data to statistical facies classification (k-means algorithm). Lithofacies in this study were successfully separated into two facies namely sand and shale. The results obtained show that X Field is a gas saturated with sandstone as the main reservoir, especially in the Plover formation. © Published under licence by IOP Publishing Ltd.
Geophysical Engineering, Institut Teknologi Sumatera, South Lampung, Indonesia; Center for Research and Development of Oil and Gas Technology (LEMIGAS), Jakarta, Indonesia
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