Event Category: ERL Events


  • Annual Founding Members Meeting 2021: Emerging Technologies and New Processing Methods for Geophysics in Industry

    Annual Founding Members Meeting 2021: Emerging Technologies and New Processing Methods for Geophysics in Industry

    Each year MIT Earth Resources Laboratory invites representatives of our Founding Member companies, along with our alumni and friends in industry and academia, to meet our students and researchers and hear about our latest research. This year’s meeting will take place via Zoom June 2-3. If you have not received your invitation, please reach out…

  • FISH: Underground Hydrogen Storage: a multiscale experimental and numerical study

    FISH: Underground Hydrogen Storage: a multiscale experimental and numerical study

    MIT Earth Resources Laboratory presents Hadi Hajibeygi, Associate Professor at Delft University of Technology, on “Underground Hydrogen Storage: a multiscale experimental and numerical study.” “Subsurface geological formations provide giant capacities for storing renewable energy when it is converted into green gas (e.g. hydrogen) or compressed and hot fluids. While the utilisations of the subsurface formations…

  • FISH: Full waveform inversion with unknown acoustic sources

    FISH: Full waveform inversion with unknown acoustic sources

    MIT Earth Resources Laboratory presents Prof. Rongrong Wang of MIchigan State University on “Full waveform inversion with unknown acoustic sources.” “Full Waveform Inversion (FWI) has been widely used for seismic velocity inversion under active seismic data. The usage of FWI under passive seismic data is much more challenging, since aside from the velocity, the source…

  • FISH: DAS VSP applications to reservoir surveillance – overview of status

    FISH: DAS VSP applications to reservoir surveillance – overview of status

    MIT Earth Resources Laboratory presents Dr. Albeena Mateeva, Principle Research Scientist at Shell, on “DAS VSP applications to reservoir surveillance – overview of status.” “In the last decade, a fascinating new technology emerged – Distributed Acoustic Sensing (DAS). It has many applications, seismic and non-seismic, but the focus of this talk will be on active…

  • FISH: A holistic approach to solving the eikonal equation using neural networks

    FISH: A holistic approach to solving the eikonal equation using neural networks

    MIT Earth Resources Laboratory presents Umair bin Waheed, Assistant Professor at King Fahd University of Petroleum and Minerals, on “A holistic approach to solving the eikonal equation using neural networks.” “Since the original algorithm by John Vidale to numerically solve the eikonal equation in 1988, there has been tremendous progress on the topic addressing an…

  • FISH: The Seismic Inverse Problem: Tackling Non-Convexity

    FISH: The Seismic Inverse Problem: Tackling Non-Convexity

    MIT Earth Resources Laboratory presents Dr. Rami Nammour, Project Lead for Inverse Problems and Uncertainty Quantification at Total Research and Technology, on “The Seismic Inverse Problem: Tackling Non-Convexity.” “The inverse problem (IP) of reflection seismology seeks to recover the subsurface velocity from surface measurements of acoustic pressure data. This IP is nonlinear and large scale.…

  • FISH: Spectral changes of seismic wave energy in a partially saturated rock: contact angle hysteresis phenomena

    FISH: Spectral changes of seismic wave energy in a partially saturated rock: contact angle hysteresis phenomena

    MIT Earth Resources Laboratory presents Dr. Alexander Rozhko, Principal Rock Mechanics Engineer at Equinor, on “Spectral changes of seismic wave energy in a partially saturated rock: contact angle hysteresis phenomena.” “Low-frequency shadows are frequently interpreted as attenuation phenomena due to partial saturation with free gas. However, several researchers have argued that shadows are not necessarily…

  • FISH: Constraints and optimization for weakly supervised deep-learning from few data and fewer labels

    FISH: Constraints and optimization for weakly supervised deep-learning from few data and fewer labels

    MIT Earth Resources Laboratory presents Bas Peters, Visiting Assistant Professor at Emory U., on “Constraints and optimization for weakly supervised deep-learning from few data and fewer labels.” “When pixel-level masks or partial annotations are not available for training neural networks for semantic segmentation, it is possible to use higher-level information in the form of bounding…

  • FISH: Flow in porous materials: a tale of X-rays, minimal surfaces and wettability

    FISH: Flow in porous materials: a tale of X-rays, minimal surfaces and wettability

    MIT Earth Resources Laboratory presents Martin J, Blunt, Professor at Imperial College, London, on “Flow in porous materials: a tale of X-rays, minimal surfaces and wettability.” “I will provide an overview of the current revolution in our understanding of flow, transport and reaction processes in porous media, enabled by 3D imaging from the nanometre scale…

  • FISH: Distributed Sensor Networks based Real-Time and In-Situ Subsurface Imaging

    FISH: Distributed Sensor Networks based Real-Time and In-Situ Subsurface Imaging

    MIT Earth Resources Laboratory presents Fangyu Li, Assistant Professor at Kennesaw State U., on “Distributed Sensor Networks based Real-Time and In-Situ Subsurface Imaging.” https://mit.zoom.us/j/99786335931 “Near-surface geophysical imaging is critical to explore resource plays and characterize the subsurface sustainability. However, conventional subsurface imaging requires along-term processing, including data acquisition, collection, processing, imaging, QC procedures and so…