Regular biography
Chris L. Farmer is a Research Fellow at the Mathematical Institute, University of Oxford, within the Department of MATH. His research interests include wave propagation in heterogeneous media and kinetic models for fluid mechanics. Previous research areas encompass inverse problems, adaptive management of natural resources, flow through porous media, grid generation, and numerical simulation of elliptic PDEs with tensor coefficients. He has contributed to various publications in applied mathematics and engineering. Farmer was co-director of the Oxford Martin School's programme on Modelling and Predicting Climate and a PI on the Oxford Martin Programme on Resource Stewardship until March 2016.
Scholar-generated biography
Chris Farmer is a Research Fellow at the Mathematical Institute, University of Oxford, focusing on mathematical and computational methods for geological and reservoir modeling. His research spans numerical simulation, geostatistical modeling, and uncertainty quantification in hydrocarbon exploration and production. Key areas include stochastic field generation, Bayesian inference, and optimization techniques for reservoir simulation. His work addresses challenges in upscaling, geological modeling, and the integration of physical processes into synthetic data generation. Farmer's publications explore the mathematical foundations of reservoir geology, including the influence of faulting on sedimentation and the application of complex analysis to fluid dynamics in porous media. His research bridges applied mathematics and earth sciences to improve predictive models for subsurface resource assessment.