Publications

In the reservoir characterization process, petrophysical property of rocks is very important to be known and understood. Carbonate reservoirs will be different from siliciclastic reservoirs. The petrophysical property consists of shale volume (Vsh), porosity, and water saturation (Sw). In this study, besides aiming to determine the petrophysical property, it also aims to perform rock typing on the wells of the Brani field, Salawati Basin, West Papua. The methods used in completing this research are probability analysis (multimineral) for petrophysics and Flow Zone Indicator (FZI) for rock typing and Multi-Resolution Graph-based Clustering (MRGC) to spread rock type values on all wells and intervals. Based on the analysis of THAB-1 and THAB-2 wells in Kais Formation, lithofacies properties were obtained starting from skeletal packestone to skeletal wackestone with back reef lagoon depositional facies both inner and outer. The results of the petrophysical analysis gave the cut-off of well THAB-1 was Phie ? 0.09, Swe ? 0.72, Vsh ? 0.25, while the cut-off of well THAB-2 was Phie ? 0.11, Swe ? 0.85, Vsh ? 0.20. The well THAB-1 has 3 prospect zones, namely at a depth of 4178.5-4182, 4343.5-4349, 4441.5-4458 with a total net foot of 27 ft. The well THAB-2 has 3 prospect zones, namely at a depth of 4829.5-4846, 4873.5-4881, 4929.5-4935 with a total net foot of 31 ft. Based on rock typing analysis, 4 rock type classes were obtained. RT 1 is the best rock typing class with an average of FZI of 0.35338367 and RT 4 is the worst with 0.022791949. The Flow Unit size is influenced by pore geometry, grain size, sorting, and diagenesis such as cementation and compaction. Results of rock type are used as associated log models for rock type cluster at uncored intervals and uncored well using Multi-Resolution Graph-Based Clustering (MRGC), so the determination of permeability values can be performed.