Summary
Oleg Yakovlev is an experienced geologist and geoscientist with over 20 years in subsurface evaluation, specializing in 3D geomodeling, seismic interpretation, and reservoir analysis across both conventional and unconventional plays. He has a proven track record in horizontal well planning, geosteering, and natural fracture/network modeling using Petrel and Fracman, and has led Petrel workflow development to improve efficiency on major asset teams. Oleg blends domain expertise with data science, applying machine learning for reservoir pressure prediction and hydraulic fracture optimization to reduce uncertainty and boost well performance. His career spans international and Gulf of Mexico projects, stochastic reserves estimation, and dynamic history matching, reflecting strong hands-on and modeling skills. Trained in geophysics and geology at Novosibirsk State University and Heriot-Watt, he also brings early experience developing seismological software in C++, giving him a rare mix of field, modeling and coding perspectives.
10 years of coding experience
Heriot-Watt University Edinburgh Campus
MSc, Geophysics, MSc, Geophysics at Novosibirsk State University (NSU)
Russian, English