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Effective reservoir characterization demands analysis that is not only accurate, but also rapid and integrated across disciplines. This study proposes an integrated approach combining empirical equations, core-log calibration, and interactive visualization for rapid reservoir characterization. The case study uses data from Well-X in the P Formation, a carbonate gas reservoir located in West Java, Indonesia.
The method utilizes an advanced Pickett Plot to predict several key petrophysical parameters. These plots are presented interactively, allowing visualization of rock type distribution and inspection of parameter responses to various inputs. Predicted values were qualitatively validated against core analysis results.
The resulting 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 laboratory measurements, 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 and supporting data as the basis for prediction, the approach 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 performance and characteristics.