digilib@itb.ac.id +62 812 2508 8800

Effective reservoir characterization demands analysis that is not only accurate, but also rapid and integrated across disciplines. This study proposes an integrated approach that develops and applies an advanced Pickett Plot, which is a log-log plot of resistivity versus porosity, to predict key reservoir properties beyond just water saturation. These include permeability, capillary pressure, height above the free water level, bulk volume of water, and pore throat radius. The case study is based on Well-X in the P Formation, a carbonate gas reservoir located in West Java, Indonesia. The methodology integrates empirical relationships from the literature with well log data to construct five advanced Pickett Plots. These plots are presented interactively using the Altair library, allowing for visualization of rock type distribution and inspection of parameter responses to various inputs. Qualitative validation was conducted by comparing predicted values with laboratory core analysis results. The advanced Pickett Plots demonstrate consistent data distribution along lines of constant parameters. Supporting histograms confirm that the predicted property values lie within a narrow range of deviation from the core analysis results, which supports the reliability of this method. This study shows that the advanced Pickett Plot can effectively enrich the reservoir characterization process. Using well log data as the basis for prediction, the method offers valuable insights for geoscientists, petrophysicists, and reservoir engineers by enabling a shared and continuous interpretation workflow. This integrated approach reduces the need for segmented analysis and accelerates the understanding of reservoir quality and characteristics without heavy reliance on core data.