Haliburton talk on Artificial Intelligence Abstract Knowledge of the lithology of the subsurface is essential for exploring for and developing hydrocarbons. It helps us better understand depositional environments, matrix and fluid compositions, production characteristics, and ultimately exploitation potential. In the subsurface, the interpretation of wireline data plays a critical role in deriving this insight. However, manual interpretation of lithology is time consuming and costly, and the results are often subjective and inconsistent between interpreters. Supervised approaches to machine learning train…