Publications

Abstract Assisted history matching is a pivotal process in optimizing reservoirs models through the calibration to observed well and pressure field data. Robust reservoir forecasting is essential for effective asset management and development planning; however, it is significantly impacted by uncertainties inherent in the subsurface. Large uncertainties exist in the underlying geological and simulation inputs …

Abstract Sustainable economic development and environment protection is pivotal for life on earth. Geological storage of increasing emission of CO2 in saline aquifers has huge potential. But saline aquifers are poorly understood due to paucity of data. Known knowns, known unknowns and unknown unknowns are strikingly different in saline aquifers compared to hydrocarbon fields. These uncertainties …

Abstract This paper describes the process and results of using machine learning to automatically determine the optimum well trajectories for a tight limestone reservoir. The study aimed to find the best trajectories to maximize gas production while following certain constraints related to safe drilling operations and surface limitations. These constraints included the available surface locations, …

Abstract This paper presents an integrated asset modeling approach for reservoir coupling of 2 Sour offshore Abu Dhabi fields with three and four complex undeveloped reservoirs for each field respectively with different fluid types ranging from low CGR sour gas to sour oil in one shared surface network (Figure 1). The proposed methodology involves the …

Recent hydrocarbon developments are generally characterised by high complexity and uncertainty with lower margins for error in an unpredictable financial market. This is further compounded by new oil and gas discoveries being typically smaller today, than in the past; highlighting the need for robust and fit-for-purpose reservoir models that accurately capture key uncertainties to inform …