Sandeep Mukherjee is a Petrophysical Advisor at Apache Corporation. He specializes in formation evaluation and integrates multi-scale subsurface observations to develop holistic understanding of reservoir systems. His work focuses on reducing uncertainty and improving confidence in reservoir properties that inform conceptual models of field development.

Sandeep develops physics-informed, domain-aware analytics and machine-learning methods that augment traditional workflows, helping interpreters extract reliable signals from large and complex subsurface datasets. His work emphasizes scalable evaluation frameworks that accelerate interpretation, improve data fidelity, and enable basin-level analog discovery.

He is particularly interested in how knowledge-guided models and retrieval-assisted search can shorten cycle times and make technical workflows more repeatable. He collaborates with multidisciplinary teams to translate geoscience into actionable reservoir intelligence aligned with conceptual models of field development.

Sandeep has an MS in Geology from University of Minnesota.