MIT Earth Resources Laboratory

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Announcements


  • Statistical assessment of the financial performance of shale-gas wells coupling stochastic and numerical simulation

    Statistical assessment of the financial performance of shale-gas wells coupling stochastic and numerical simulation

    New paper in Petroleum Science by a team that includes ERL Prof. Ruben Juanes and Research Affiliate Prof. Luis Cueto-Felgueroso: “Statistical assessment of the financial performance of shale-gas wells coupling stochastic and numerical simulation.” https://www.sciencedirect.com/science/article/pii/S1995822624002024 Abstract: We present a new methodology to statistically determine the net present value (NPV) and internal rate of return (IRR)…

  • A Microscale Analysis of Millimeter-wave Induced Vitrified Basalt for Use in Enhanced Geothermal Energy Systems

    A Microscale Analysis of Millimeter-wave Induced Vitrified Basalt for Use in Enhanced Geothermal Energy Systems

    At this year’s annual symnposium of the American Rock Mechanics Association (ARMA), one of six “Best Paper” awards went to “A Microscale Analysis of Millimeter-wave Induced Vitrified Basalt for Use in Enhanced Geothermal Energy Systems,” by ERL/CEE PhD candidate Eve Meltzer, CEE Research Scientist Damian Stefaniuk, and ERL/CEE Prof. Herbert Einstein. http://dspace.mit.edu/handle/1721.1/153727 “Extraction of the…

  • Congratulations to Dr. Cassandra Seltzer

    Congratulations to Dr. Cassandra Seltzer

    On May 28, 2024, Cassandra successfully defended her PhD thesis entitled “Deformation and its Surface Expression in Stressed Planetary Materials”. Her advisor was Prof. Matěj Peč of ERL and Dept. of Earth, Atmospheric and Planetary Sciences.

  • Making climate models relevant for local decision-makers

    Making climate models relevant for local decision-makers

    MIT News features work by ERL/EAPS Principal Research Scientist Dr. Sai Ravela: A new downscaling method leverages machine learning to speed up climate model simulations at finer resolutions, making them usable on local levels. by Paige Colley|EAPS June 11, 2024 Climate models are a key technology in predicting the impacts of climate change. By running…