Lin Liang is a Scientific Advisor and Program Manager at Schlumberger-Doll Research, where they focus on multiphysics modeling and research program management. With a Ph.D. in Environmental Science from Peking University and a Bachelor's in Fluid Machinery and Fluid Engineering from Tsinghua University, Lin has extensive experience in software development and research within the oil industry. Their work includes the integrated interpretation and inversion of various geophysical measurements for formation evaluation and reservoir characterization. Lin is currently developing next-generation frameworks that combine physics, machine learning, and cloud-based software solutions for exploration and field development.
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