Borehole Description

Borehole description focuses on extracting and interpreting subsurface information from various data sources, primarily to improve geological understanding and support resource management decisions. Current research emphasizes automated analysis of borehole images and textual descriptions using advanced machine learning techniques, including convolutional neural networks (CNNs), generative adversarial networks (GANs), and large language models (LLMs) like BERT, to enhance accuracy and efficiency. These advancements enable improved prediction of petrophysical properties, automated lithological classification, and optimized well placement strategies, ultimately impacting fields like oil and gas exploration, CO2 sequestration monitoring, and waste disposal site selection.