Many of today’s most prolific wells were previously considered economically or technologically unviable. As wells become increasingly complex and the energy industry continues to push the boundaries ...

Reservoir modelling and history matching techniques form a cornerstone of modern subsurface engineering. These methodologies provide a framework for simulating geological formations and calibrating ...

Data assimilation is an important mathematical discipline in earth sciences, particularly in numerical weather prediction (NWP). However, conventional data assimilation methods require significant ...

As governments, agencies and industries across the world increase their focus on sustainability and mitigating the risks of climate change, carbon capture and sequestration (CCS) is becoming more ...

Understanding Earth's climatic past is essential for predicting future scenarios. In a recent review published in Science China Earth Sciences, Mingsong Li and his colleagues from Peking University ...

Ocean data assimilation systems combine data assimilation with numerical ocean models to predict ocean conditions.

Image showing a "picture" of the Earth's interior. The colour represents how fast the seismic waves travel inside the Earth in the Alaska area. Image courtesy of Lili Feng Image showing a "picture" of ...

The Government Office for Science has published a report on the future of the subsurface, highlighting the lack of data as a key challenge. The report looks at the current and future potential use of ...