Well Data

Well data analysis focuses on extracting valuable information from diverse sources like well logs, seismic surveys, and well tests to improve subsurface characterization and reservoir management. Current research emphasizes the application of machine learning, particularly deep learning architectures (e.g., neural networks, Gaussian processes) and ensemble methods, to overcome challenges posed by noisy, sparse, or high-dimensional data, enabling improved predictions of reservoir properties (e.g., permeability, gas saturation) and enhanced history matching. These advancements are crucial for optimizing resource extraction, monitoring CO2 storage, and improving groundwater management, ultimately leading to more efficient and sustainable operations in the energy and environmental sectors.