Subsurface Analysis
Understanding the subsurface and its role within advanced energy systems.
Machine Learning and Data Analytics
We have expert knowledge and experience applying a multitude of machine learning approaches to enhance the understanding of the subsurface. We leverage numerous tools to enable creating and implementing subsurface models to inform energy production and storage decision. For example, we published several studies on using of machine learning to evaluate production drivers in unconventional oil and gas settings, as well as the optimization of CO2 storage sites.
Carbon Capture and Storage (CCS) Technoeconomic Modeling
We developed a suite of publicly available CCS economic analysis models, data, and resources enabling effective, multifaceted evaluation of technical and economic aspects associated with the full value chain of CCS. Our tools are widely used and cited by the CCS community.
Stand-alone Modeling and Analysis Studies
We summarize and highlight critical factors affecting the optimal configurations of CCS systems with detailed analyses that consider source, transport, and storage attributes. Our analyses help quantify the impact of the U.S. 45Q tax credit on carbon management costs and how they might be leveraged by an emerging CO2 storage industry.
Related Insights
Our philosophy is rooted in the development of research products that are impactful and that target relevant and emergent research topic and trends. Several of our work products are featured in peer-reviewed journal articles, presented at technical conferences, and featured in reports hosted on client websites.
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Subsurface Analysis Experts
Our team is fluent in multitudes of supporting software and tools. We provide effective, high-quality solutions at cost and on schedule, executing analytical objectives requiring multi-faceted evaluation.