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Data Science

Faculty & Researchers

Naomi Boness

Naomi Boness (Focus Area Leader)

Managing Director, Natural Gas Initiative
Email: naomi.boness@stanford.edu
Adam Brandt

Adam Brandt

Assistant Professor, Energy Resources Engineering
Email: abrandt@stanford.edu

Jef Caers

Professor, Geological Sciences
Email: jcaers@stanford.edu

Tapan Mukerji

Assoc Professor-Research, Energy Resources Engineering
Email: mukerji@stanford.edu

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Project Topics

The group focuses on building tools to reduce the environmental impacts of energy systems. One focus is on understanding greenhouse gas emissions (GHGs) from fossil energy systems. Also, we build optimization tools to improve the environmental and economic performance of energy systems. Our approach includes building engineering-based bottom-up life cycle assessment (LCA) models to generate rigorous estimates of environmental impacts from energy extraction and conversion technologies. In optimization areas, we focus on renewable-fossil hybridization and integration.

SCERF does research in the exploration, evaluation & development of Earth Resources, whether Energy, Water or Minerals to provide solutions for such problems from data acquisition to decision analysis. We focus on developing state-of-the-art data scientific methods for the integration of spatial data over many scales, the quantification of uncertainty of subsurface systems, the value of information of data sources in the context of decision-making purposes.

Related Publications

Reduced-Order Modeling of Coupled Flow and Quasistatic Geomechanics SPE Journal Jin, Z., et al 02/2020; :
The Rock Physics Handbook, 3rd Ed. Cambridge University Press Mavko, G., Mukerji, T., Dvorkin, J. 02/2020; :
Convolutional neural network for seismic impedance inversion Geophysics Vishal Das , Ahinoam Pollack , Uri Wollner , and Tapan Mukerji 11/2019; :
Numerical simulation of coupled fluid-solid interaction at the pore scale: A digital rock-physics technology Das, V., Mukerji, T., Mavko, G. 07/2019; : PDF icon geo2018-0488.1.pdf
Particula: A simulator tool for computational rock physics of granular media Geophysics Al Ibrahim, M. A., Kerimov, A., Mukerji, T., Mavko, G. 05/2019; : PDF icon geo2018-0481.1.pdf