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Karl Fabian

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#reinforcement learning Open access Sep 2026

Well-log depth alignment: a critical review and field-based comparison of classical and machine-learning methods

Abstract Accurate well-log depth matching is important because even small depth errors can affect fluid-contact interpretation, net-pay estimates, well-to-well correlation, and reservoir modelling. In practice, electric wireline logging (EWL) and logging-while-drilling (LWD) logs often differ in depth because of cable...

Sushil Acharya, Karl Fabian · 0 citations

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