Karst networks are characterized by their complex and heterogeneous dissolution cavities related to the shape, dimension, distribution, and fill, presenting significant subsurface challenges in reservoir characterization and management. In this work, it is proposed to deploy a new methodology to capture geological uncertainties in karstic reservoir while mapping field-wide karst geobody in JTN Field (Luconia). Previous studies assumed that karst geobody remains open as conduits, acknowledging the substantial influence of karst features on reservoir behavior and the flow of fluids. This further becomes an oversimplification of handling karstic carbonate reservoir modeling that may influence the result of hydrocarbon volume in place and reserve estimation, well location optimization, and field's management plan. In this research, we are examining specific seismic characters, i.e., chaotic reflection inside the collapsing cave geobody to identify potential particles filling within the systems. By integrating the chaotic seismic reflection inside collapsed network combined with the architecture of the conceptual model, the individual geobodies checking technique will be applied to identify possible karst fills within the karstic drainage components. This will allow the workflow to further assign possible karst fills and properties within the region with calibration of production performance. The proposed research will adopt a multidisciplinary approach, combining geological, geophysical, drilling information, and reservoir engineering data, along with advanced karstic reservoir modeling techniques to address key uncertainties and challenge karstic characterization, especially the uncertainty related to storage volume and containment. Finally, this would help us to improve karstic carbonate reservoir characterization & modeling for C02 storage and hydrocarbon production assessment.
