Reducing Uncertainty in Bahrain Oil Fields: A 3D Geological Static Modeling Approach

Abstract The Lower Cretaceous Wara, Mauddud and Nahr Umr reservoirs in Bahrain's Awali Field present complex depositional and structural challenges for optimal field development planning (FDP). Wara, Mauddud and Nahr Umr, commonly known as Bahrain zone, are the most important oil-producing group found in Bahrain's Awali Field (Al-Muftah, Vargas, Murty, & Abdulwahab, 2007). Discovered in 1932, the Bahrain Oil Field was the first in the Gulf region and has now reached an advanced stage of development (Konwar, AlOwainati, Nemmawi, Dowen, & Almuntaser, 2020) which increase the necessity of a proper reservoir modeling for effective field development plan. This study adopts an integrated multidisciplinary approach, utilizing advanced 3D geological static modeling techniques by incorporating seismic, well log, core, and production data. Detailed geostatistical modeling and iterative validation workflows captured reservoir heterogeneities and improved static-to-dynamic model alignment. Key results include enhanced prediction of fluid flow behavior, optimized well placement, and a significant reduction in subsurface uncertainties, all of which contribute to better recovery strategies for the Wara, Mauddud, and Nahr Umr reservoirs. This work advances regional geological modeling practices and contributes critical knowledge applicable across carbonate and clastic reservoirs in the Middle East.