Title: AI Applications to Geoenergy Discovery and CO2 SequestrationAbstract: Wellbores are critical for geoenergy exploration and production, and for making the CO2 sequestration success. Borehole geophysics gathers first-hand information to characterize and to monitor the wellbores and the formations. How to acquire, process and interpret the data, and how to utilize the data for better understanding of the science and engineering behind the wellbore, have been attracting broad attentions, recently in particular. In this talk I’ll demonstrate the importance of wellbores and borehole geophysics to oil, gas, geothermal and CO2 sequestration, then explore settings of machine learning to formation evaluation with conventional and imaging logs. I’ll further introduce a four-world model, in which includes physical world, digital world, the world of human cognition, the world of machine cognition, to build a technical framework for industry level AI application to geoenergy discovery and production, and to CO2 sequestration engineering and monitoring. The four-world model well explains the core elements and issues involved in digital transformation and machine intelligence applications.

About this series: MIT Earth Resources Laboratory's Friday Informal Seminar features guest speakers from industry and academia on topics relevant to our lab, including geophysics, seismology, rock physics, imaging, inversion, machine learning, and the energy industry. Titles and abstracts will be posted here when available. Contact fish_seminar_organizers@mit.edu for more information and Zoom password.