Forecasting fluid flow in subsurface resources such as groundwater, geothermal, and oil and gas is essential to maximize project economics and maximize resource recovery. We …
Advancements in data collection, storage, and processing have facilitated the widespread adoption of data-driven models for forecasting and decision-making in the oil and gas …
Well logs comprise sequential data detailing the geological properties of formations at varying depths encountered during drilling. They are fundamental for various applications in …
In subsurface data analytics and machine learning, advances enable new methods and workflows for spatio-temporal, geoscience, and engineering property estimation and …
Collecting high-quality data in upstream operations is crucial because it can have a significant impact on future exploration and development decisions. Low-quality data can …