Computational Geosciences


The computational geosciences working group develops new and innovative methods of analyzing large-scale geological and geophysical datasets using cutting-edge computational and artificial intelligence methods. In collaboration with departments such as physics, electrical engineering, computer science and high performance computing center, our main goal is to develop capacity and to advance the fundamental tools, techniques and methods for integrating large geoscientific datasets across multiple communities, stakeholders, and disciplines. The group works on advancing the two main research frontiers. The first, “Attaining a Carbon-neutral Tomorrow (ACT)” will use principles of big data and advanced computing for ensuring an environmentally sustainable CO2 injection and storage in offshore and onshore geologic formations. Development of modeling codes on hybrid computer architecture for seismic wave propagation and Bayesian inversion is an ongoing effort of the group. The second, “Securing American Homes from Environmental Disasters, (Se-AHED),” will use principles of big data and advanced computing for predicting infrastructure health and safety in response to changes in geological conditions due to natural and human-induced reasons. Sustained collaboration to advance the two frontier research topics is achieved by building on current collaborative strengths, including joint field exercises, annual seminars, and multi-departmental research papers and proposals. Together the participating PIs boast extensive facilities in generation of large structured and unstructured geological and related datasets. 


Establish the Computational Geosciences working group as a recognized member of the big data and advanced computing international community.


Faculty with research in computational geosciences: