WORKSHOP

W-11: Geophysical Models of Magmatic and Amagmatic Rifted Continental Margins

Friday, 21 August | 8:30 a.m.–12:00 p.m.; 1:30 p.m.–5:00 p.m. | TBD


Rifted continental margins serve as vital repositories for a wide range of natural resources, encompassing both conventional fossil fuels and emerging lower carbon sources. Successful exploration within these margins depends on a thorough understanding of their formation processes and the ability to properly characterize their current structures and lithologies. A key factor in the development of rifted margins is the nature of magma supply during and after rifting, which leads to the classification of margins into two common end-member types: magmatic (excess magma, also called “volcanic”) and amagmatic (magma starved, also called “non-volcanic”) margins. Magmatic margins, often influenced by nearby mantle plumes, are characterized by underplating and the formation of flood basalts during continental extension, which manifest as seaward dipping reflectors (SDRs) in seismic. In contrast, amagmatic margins experience extreme extension of the continental lithosphere, exposing the lower crust and upper mantle rocks that may become serpentinized (hydrated) by seawater.

Through this workshop, we seek to integrate geophysical data along rifted continental margins to quantitatively model the structures and lithologies characteristic of the magmatic and amagmatic margin endmembers, and to assess how these processes influence margin evolution and associated resource exploration.

Lead Organizer

Dale Bird, Bird Geophysical

Co-Organizer(s)

John Green, Chevron

See More Workshops

  • W-1: 4D FWI for Reservoir Monitoring
    W-1: 4D FWI for Reservoir Monitoring
  • W-2: Agentic AI and Large Language Models (LLMs) in Geophysical Applications
    W-2: Agentic AI and Large Language Models (LLMs) in Geophysical Applications
  • W-3: AI Applied to Mining Geophysics
    W-3: AI Applied to Mining Geophysics
  • W-4: Applying lessons learned from Oil & Gas Geophysics to Energy Transition Challenges
    W-4: Applying lessons learned from Oil & Gas Geophysics to Energy Transition Challenges
  • W-5: Automated Mineral Classification: Transforming Mineralogy into Operational Intelligence
    W-5: Automated Mineral Classification: Transforming Mineralogy into Operational Intelligence
  • W-6: Autonomous Energy Geoscience: Digital Twins, Physics-Informed AI, and Intelligent Automation
    W-6: Autonomous Energy Geoscience: Digital Twins, Physics-Informed AI, and Intelligent Automation
  • W-7: Combined Active and Passive Seismic Monitoring of Subsurface Processes
    W-7: Combined Active and Passive Seismic Monitoring of Subsurface Processes
  • W-8: Critical Minerals and Rare Earth Elements (REEs): Technologies and other Considerations
    W-8: Critical Minerals and Rare Earth Elements (REEs): Technologies and other Considerations
  • W-9: Elastic Multi-parameter FWI: Where are we?
    W-9: Elastic Multi-parameter FWI: Where are we?
  • W-10: FWI Hackathon Showcase
    W-10: FWI Hackathon Showcase
  • W-11: Geophysical Models of Magmatic and Amagmatic Rifted Continental Margins
    W-11: Geophysical Models of Magmatic and Amagmatic Rifted Continental Margins
  • W-12: Key Business and Technology Enablers and Barriers of the Geothermal Industry in 2026
    W-12: Key Business and Technology Enablers and Barriers of the Geothermal Industry in 2026
  • W-13: Modern Geophysical Inversion: Bridging Physics, AI, and Applications
    W-13: Modern Geophysical Inversion: Bridging Physics, AI, and Applications
  • W-14: Optical fibers: What is next? Acquisition, Data, and Products
    W-14: Optical fibers: What is next? Acquisition, Data, and Products
  • W-15: Seismic Signal Processing in the AI Era: Integration or Replacement?
    W-15: Seismic Signal Processing in the AI Era: Integration or Replacement?
  • W-16: Subsurface Integration: What’s Working, What’s Missing, and What Can We Change?
    W-16: Subsurface Integration: What’s Working, What’s Missing, and What Can We Change?
  • W-17: Surface to Subsurface: Drone-Enabled Analog Studies for Reservoir Characterization
    W-17: Surface to Subsurface: Drone-Enabled Analog Studies for Reservoir Characterization
  • W-18: The Role of Seismic Gathers in the Era of FWI
    W-18: The Role of Seismic Gathers in the Era of FWI