Core data is crucial to the characterization of oil and gas reservoirs. Reservoir characterization enables a more
accurate estimation of reservoir reserves and prediction of reservoir performance. In addition, core data can be
used to ascertain the classification of rocks, also known as rock typing. The properties of the rocks that compose
oil and gas reservoirs can be determined using rock typing. Also, it enables the identification of potential zones
for hydrocarbon production, the comprehension of fluid flow behavior, and the planning of efficient production
operations. For a more precise determination of carbonate rock types, integrating petrophysical data with available
fluid, rock, and geological information is necessary.
This research will focus on identifying and analyzing the rock type of Indonesia's carbonate reservoirs in four
regions of Indonesia. Before conducting rock typing, statistical data analysis was conducted for each field's
distribution of porosity and permeability data. Rock typing uses Hydraulic Flow Unit (HFU), Pore Geometry
Structure (PGS), Global Hydraulic Elements (GHE), Lucia, and Winland R35 methods.
The result of rock typing in the four regions is that the PGS method has higher permeability prediction accuracy
than the HFU method. Region 1 (West Papua) has a range of DRT 3 - 17 (HFU Method), RT 4 – 16 (PGS Method),
GHE 1 – 8 (GHE Method), dominated by rock fabric class 3, and Mesopore type of pore throat. Region 2 (East
Java) has a range of DRT 3 – 28 (HFU Method), RT 3 – 18 (PGS Method), GHE 1 – 10 (GHE Method), dominated
by rocks fabric class 3 and 4, Microporous and Mesoporous pore throat type. Region 3 (Central Kalimantan) has
a range of DRT 10 – 21 (HFU Method), RT 6 – 17 (PGS Method), GHE 0, 4 – 10 (GHE Method), dominated by
rock fabric class 4, and Macroporous pore throat type. Region 4 (Central Sulawesi) has a range of DRT 8 – 11
(HFU Method), RT 4 – 8 (PGS Method), GHE 3 – 6 (GHE Method), dominated by rock fabric class 3, and
Mesoporous type of pore throat.