- B.S., Civil/Environmental Engineering, University of Colorado, Boulder
- M.S., Geological Engineering, Michigan Technological University. Project: Modeling Oxygen Mass Transfer Limitations During Biosparging
- M.S., Petroleum Engineering, Stanford University. Project: Coupled Geological Modeling and History Matching of Fine‐Scale Curvilinear Flow Barriers and Large Scale Facies Bodies
- Ph.D., Interdisciplinary Geosciences, Stanford University. Project: Multiscale modeling of deep-water channel deposits: An interdisciplinary study integrating geostatistics, geology and geophysics
Our ability to efficiently recover hydrocarbon resources from the subsurface is controlled by geologic heterogeneities within petroleum reservoirs. Spatially variable depositional and diagenetic processes create variations in subsurface porosity and permeability which in turn play a critical role in the movement of petroleum fluids through the subsurface. Accurately predicting the controls and distribution of this variability is essential for maximizing hydrocarbon recovery.
My research focuses on combining quantitative observations from modern, outcrop and subsurface processes and deposits with geostatistical modeling. My goal is to expand our understanding of how to build predictive geospatial models for the purpose of more efficient hydrocarbon exploration and recovery.
I work in deep-water, shallow-marine and alluvial/fluvial depositional systems from South America to southern Utah.