معرفی
Dr. Daniel Arnold is an Associate Professor at Heriot-Watt University, affiliated with the School of Energy, Geoscience, Infrastructure and Society and the Institute for GeoEnergy Engineering. His research focuses on reservoir engineering, carbon capture and storage (CCS), hydrogen storage, and the application of AI in energy systems. He contributes to the UN Sustainable Development Goals, particularly through innovative solutions for clean energy and environmental risk mitigation.
His work emphasizes reservoir modeling, uncertainty quantification, and fractured reservoir analysis. Recent publications highlight advancements in AI-driven workflows for reservoir characterization, risk assessment of CCS containment in legacy wellbores, and numerical studies on hydrogen storage in sandstone reservoirs. He also explores machine learning techniques like GANs and graph variational autoencoders for geoscience applications.
Dr. Arnold has supervised PhD student Hydra Rodrigues and contributed to benchmark datasets such as the COSTA MODEL for carbonate reservoirs and the CAGEO Watt Field case studies. His interdisciplinary approach bridges geoscience, petroleum engineering, and computational methods to address global energy challenges.
