Perpustakaan Digital ITB

Reservoir characterization requires integration of discrete laboratory measurements and depth-continuous well-log data, yet HFU rock typing, SCAL capillary analysis, core–log matching, petrophysical calculation, visualization, and quality control are often performed in separate files. This study developed PRISM, a Python-based desktop application for traceable integration of Routine Core Analysis, Special Core Analysis, and well-log data. The implemented workflow calculates Reservoir Quality Index, Normalized Porosity Index, Flow Zone Indicator, and Discrete Rock Type; fits DRT-specific Leverett J-functions; performs core–log matching and property-source routing; calculates clay volume, porosity, Archie water saturation, reservoir capillary pressure, and corrected Saturation Height Function; and generates an integrated logging chart, Advanced Pickett Plot, QC summary, and multi-sheet Excel export. The controlled Well X run integrated 107 core-supported records. Forty-six records had the porosity and permeability required for HFU calculation and formed DRT 9–14. Direct J-function equations were available only for DRT 10 and DRT 11, and corrected SHF was available for 30 records because fallback substitution was disabled. Final QC classified 14 records as OK, 93 as Review, and none as Critical Missing Data. Manual spreadsheet reproduction of the HFU and J-function curves demonstrated numerical implementation consistency for equivalent inputs and conventions. The principal limitations were incomplete permeability, uneven DRT support, and limited SCAL coverage. PRISM therefore supports user-reviewed integration, screening, documentation, and reproducible export, but the single-well application does not establish independent, field-wide, predictive, or simulation-ready validation.