Classification Lithofacies Based on Petrophysics Properties and Clustering Algorithm in X Field. Issue 1 (September 2021)

• Record Type: Journal Article
• Authors: Saputra, Asido; Puput Erlangga, M; Handoyo, ; Wijaksono, Egie
• Is Part Of: IOP conference series. Volume 830:Issue 1(2021)
• Publication Date: 2021-09
• Subjects: Lithofacies -- Petrophysical Properties -- K-mean -- Reservoir; Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/830/1/012056
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: 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.