Open AccessClassification Lithofacies Based on Petrophysics Properties and Clustering Algorithm in X Field
Author(s) -
Asido Saputra,
Mokhammad Puput Erlangga,
Handoyo Handoyo,
Egie Wijaksono
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/830/1/012056
Subject(s) - facies , petrophysics , geology , oil shale , porosity , cluster analysis , mineralogy , well logging , petrology , algorithm , geomorphology , geotechnical engineering , mathematics , petroleum engineering , paleontology , statistics , structural basin
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.