Evaluating CO2 Storage Potential in Krishna Godavari Basin: An Integrated Seismic and Well Log Approach

The Krishna-Godavari (KG) Basin, a prolific hydrocarbon province in eastern India, offers promising potential for geological carbon dioxide (CO₂ ) sequestration. CO₂  storage in the KG Basin is crucial due to its potential to mitigate climate change by safely sequestering industrial CO₂  emissions. The basin's geological formations, characterized by high porosity and the presence of structural traps, provide ideal conditions for long-term CO₂  storage, supporting India's transition to a low-carbon economy and enhancing energy sustainability. This study integrates advanced seismic and well log analyses to evaluate the basin’s subsurface characteristics and estimate its CO₂  storage capacity. Key petrophysical properties such as pay zone thickness, porosity, and water saturation were derived from well log data to delineate reservoirs suitable for CO₂  injection. Additionally, model-based seismic inversion techniques were utilized to construct a high-resolution 3D impedance model, identifying low-impedance zones indicative of high porosity and enhanced storage potential. To further improve porosity predictionfrom seismic attributes, a Probabilistic Neural Network (PNN) was employed, enabling precise characterization of favorable injection sites. The theoretical storage capacity of the KG Basin is estimated based on integrated analyses of petrophysical and seismic data. This study emphasizes the importance of identifying stratigraphic and structural traps in the G-1 Structure block of the KG Basin to ensure secure and efficient CO₂ storage. The findings highlight the KG Basin’s suitability for long-term sequestration, contributing to India’s carbon management goals and broader efforts to mitigate climate change through the sustainable utilization of subsurface geological formations. These insights provide a robust framework for optimizing CO₂ storage strategies in similar hydrocarbon-rich basins worldwide.