Gabriel Godefroy

Kinematic and stochastic fault modeling from sparse data for structural uncertainty analysis

Research interests:

  • Structural geology
  • Uncertainty modeling
  • Kinematic fault modeling
  • My Ph.D. work (stochastic and kinematic fault modeling) is implemented within the FaultMod2 SKUA-Gocad plugin.

Other:

  • WebGL / Three.JS / C++: synthetic faulted structures built with my kinematic operator are available here: atlas.html
  • Badminton

Ph.D. manuscript short abstract:

The subsurface is largely inaccessible to direct observations. Geologists interpret the available data (that are often ambiguous or sparse) using their geological prior knowledge. In my Ph.D. manuscript, I focus on uncertainties related to the modeling of faulted structures from sparse data. These structural uncertainties impact resources exploration and production, waste storage or ground engineering hazards. I propose a method relying on graph theory and on numerical rules (representing the geological knowledge) to generate several interpretation scenarios from the available evidence. I also present a numerical fault operator that deforms preexisting geological structures in accordance with a theoretical displacement model. This kinematic modeling strategy improves the quality of 3D structural models when only few observations are available.

 

Contact Information

E-Mail :This email address is being protected from spambots. You need JavaScript enabled to view it.
Cell:+33 (0)3 83 59 64 16
ENSG office number:G201

Phd Thesis

Kinematic and stochastic fault modeling from sparse data for structural uncertainty analysis

Publications

2018