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Postdoctoral Researcher in Machine Learning for Geological Carbon Storage
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- Postdoctoral Researcher in Machine Learning for Geological Carbon Storage Berkeley Lab’s (LBNL ) Energy Geosciences Division (EGD) has an opening for a Postdoctoral Researcher in Machine Learning for Geological Carbon Storage to join the team.
- In this exciting role, you will join a vigorous team of geoscientist and ML researchers from leading US institutions developing next generation tools for geological carbon storage (GCS).
- The initial phase of the project will focus on time-lapse seismic monitoring and target integration of diverse sources of information (seismic images, microearthquake monitoring, borehole geophysics and laboratory measurements) to produce plume images and detect seismogenic faults with high risk of reactivation.
- The project will emphasize understanding of the following three aspects: (1) assimilation of heterogeneous input data; (2) issue of scales for seismic wave propagation and multiphase fluid flow; (3) models for different sources of noise in the geophysical data.
- Development of physics-informed ML models for seismic data interpretation and upscaling of petrophysical measurements.
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