Stanford University
Showing 241-250 of 1,355 Results
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Sara Constantino
Assistant Professor of Environmental Social Sciences and Center Fellow, by courtesy, at the Woods Institute for the Environment
BioSara Constantino is an assistant professor at the Stanford Doerr School of Sustainability in the Department of Environmental Social Sciences and a visiting research scholar at Princeton's School of Public and International Affairs. She is also a faculty affiliate at SPARQ and the Social Science Environmental Health Research Institute. She has an interdisciplinary background at the intersection of economics, psychology, and environmental policy and politics. Her research focuses on understanding the interplay between individual, collective, institutional and ecological factors, including how they shape preferences, decisions, experiences and resilience to extreme events or shocks. In recent and ongoing studies, she is looking at the role of polarization, social norms and governance in stimulating or stifling climate action, including both adaptation and mitigation, and what conditions lead groups mobilize to shape policy and other outcomes. She also works on the impacts and politics of guaranteed income and other cash transfer programs. Prior to starting at Stanford, she was an assistant professor in the School of Public Policy and Urban Affairs and the Department of Psychology at Northeastern University and an associate research scholar at Princeton’s School of Public and International Affairs. Before this, she was a senior research fellow in guaranteed income with the Jain Family Institute, a founding editor at Nature Human Behavior, and a research coordinator with the Institute for Fiscal Studies. She received her bachelor’s degree in economics from McGill University, a master’s degree in economics from University College London, a Ph.D. in cognitive and decision sciences from New York University, and did a postdoc focused on environmental policy, politics and decision-making at Princeton University.
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Dylan Marshall Crain
Ph.D. Student in Energy Resources Engineering, admitted Autumn 2022
Current Research and Scholarly InterestsMy current research revolves around optimizing the monitoring design of Carbon Capture and Sequestration (CCS) projects in such a way that the posterior (after data assimilation) predictions are as close to reality as can be hoped for.
In CCS projects within the U.S., it is important to have monitoring plan, which can consist of wells with pressure, saturation, salinity, et cetera sensors, seismic lines, or gravimetric above-ground measurements, before any injection has begun into the subsurface. This is due to the permitting requirements that must be satisfied before operations are begun.
Due to this constraint, any monitoring optimization (at least initially) needs to be determined using only a prior (highly uncertain) understanding of the subsurface. This makes the optimization much more challenging. We utilize a prior optimization scheme from a previous student which allows us to optimize a monitoring plan using only prior information to get the minimized, expected uncertainty reduction in the posterior models for a given quantity of interest. This scheme is limited by some Gaussian assumptions. We optimize it using a genetic algorithm.
From this point, with the monitoring plan established, the information gathered from the optimized monitoring scheme (using only monitoring wells at the moment) is used to history match (data assimilate) our understanding of the subsurface. The results can be used to predict the CO2 plume flow and behavior into the future.
This work was initially developed to assist a project in Illinois that is currently seeking Class VI injection well permits in the self-same state in order to begin injecting CO2 produced from two companies paying for the work from the Illinois Geological Survey.
