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Results for "reservoir modeling"

Modeling High-Resolution Spatio-Temporal Wind with Deep Echo State Networks and Stochastic Partial Differential Equations

arXiv ·

Researchers propose a spatio-temporal model for high-resolution wind forecasting in Saudi Arabia using Echo State Networks and stochastic partial differential equations. The model reduces spatial information via energy distance, captures dynamics with a sparse recurrent neural network, and reconstructs data using a non-stationary stochastic partial differential equation approach. The model achieves more accurate forecasts of wind speed and energy, potentially saving up to one million dollars annually compared to existing models.

Software aims to help advance research

KAUST ·

Baker Hughes has donated JewelSuite™ reservoir modeling software to KAUST to enhance teaching, learning, and research. The software simplifies modeling and streamlines the building of accurate 3-D reservoir models. It will enable students and faculty to gain a clearer picture of the subsurface and predict oil or gas deposits. Why it matters: This donation will help KAUST train future leaders in the petroleum engineering industry and advance research in reservoir modeling.

KAUST study explores underground hydrogen storage using existing oil reservoirs

KAUST ·

KAUST researchers investigated repurposing depleted oil reservoirs for underground hydrogen storage using liquid organic hydrogen carriers (LOHC). The study, led by Professor Hussein Hoteit, explores the technical feasibility and economic viability of this approach. It suggests that depleted oil reservoirs could serve as long-duration hydrogen storage sites, reducing the need for new infrastructure. Why it matters: The research supports Saudi Arabia's energy transition by utilizing existing hydrocarbon reservoirs for hydrogen storage, aligning with efforts to develop sustainable energy systems.

Addressing global hydrocarbon concerns

KAUST ·

The KAUST Research Conference on Recovery of Difficult Hydrocarbons, organized by the Ali I. Al-Naimi Petroleum Engineering Research Center (ANPERC), addressed challenges in the oil and gas industry related to meeting global hydrocarbon demand within environmental and economic constraints. The conference featured 39 presentations and focused on technical solutions for environmentally sound recovery from complex oil and gas fields in the Middle East. Discussions covered topics such as multi-scale heterogeneous carbonate reservoirs, multi-scale imaging fractures, and modeling hydrocarbons. Why it matters: The conference highlights KAUST's role in addressing critical challenges facing hydrocarbon-dependent economies in the region through research and technology development.