Congratulations to Dr. Antoine Mazuyer who sucessfully defended his PhD on the 19th of April 2018! The video of the defense in now available (in French) on YouTube.

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Congratulations to Dr. Marion Parquer who sucessfully defended his PhD on the 5th of April 2018! The video of the defense in now available (in French) on YouTube.

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Congratulations to Dr. Gabriel Godefroy who sucessfully defended his PhD on the 29th of March 2018! You can have a look at the presentation here

Image these gabi.

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About

SIGMA is a research library developed by the RING team.The version uploaded for this training has programs for acoustic modeling, extended imaging, and structural interpolation.

In this tutorial

Seismic modeling
Extended imaging

Download from here (Linux)

Unpack the file and read Training2017.pdf

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The RING Team is pleased to present you the Newsletter for April 2018.

Discover our exclusive new display !

In this issue, you will:

  • Get acquainted with our new Team members
  • Follow all the Team during upcoming conferences and trips
  • Be focused on RINGMesh
  • Have all the necessary information about 2018 RING Meeting
  • And many other things...

 

 

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Validating novel boundary conditions for 3D mechanics-based restoration: an extensional sandbox model example

This paper discusses boundary conditions to be applied for appropriate geomechanical restoration. We use an analog lab model for confronting numerical restoration results and the "ground truth".
This work was performed during the PhD research of Benjamin Chauvin in collaboration with Harvard and Chevron.

The complete paper can be found here for free download.

annotated seq resto light

 

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Uncertainty management in stratigraphic well correlation and stratigraphic architectures: A training-based method

EdwardsEtAl CAGEO2017

This paper, published in Computers & Geosciences, proposes a new way to sample stratigraphic layering uncertainty by generating possible correlation lines between boreholes.
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ImageWeb ParquerPaper

In this paper published in Mathematical Geosciences, we propose to reconstruct channelized systems with a stochastic inverse simulation that reproduces the reverse migration of the system. Starting from the last channel path, which is often the one that is brought out on seismic data, the method builds step by step possible past trajectories. As abandoned meanders provide clues about the paleo-locations of the river, they are also integrated time step by time step during the reverse simulation process. An application is provided on a satellite image of a fluvial system.

The complete paper can be found here for free download.

Parquer M.N., Collon P., Caumon G. (2017). Reconstruction of Channelized Systems Through a Conditioned Reverse Migration Method. Mathematical Geosciences, 49(8), 965–994. DOI: 10.1007/s11004-017-9700-3

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