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François Hamon

TotalEnergies E&P Research & Technology

Houston, TX

United States

  • TotalEnergies E&P Research & Technology

SCHOLARLY PAPERS

3

DOWNLOADS

285

TOTAL CITATIONS

5

Scholarly Papers (3)

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1.

Deformation Monitoring Feasibility for Offshore Carbon Storage in the Gulf-of-Mexico

Proceedings of the 16th Greenhouse Gas Control Technologies Conference (GHGT-16) 23-24 Oct 2022
Number of pages: 11 Posted: 08 Dec 2022
Julia T. Camargo, François Hamon, Antoine Mazuyer, Tip Meckel, Nicola Castelletto and Joshua A. White
Pacific Northwest National Laboratory, TotalEnergies E&P Research & Technology, Total Energies, University of Texas at Austin - Gulf Coast Carbon Center, Lawrence Livermore National Laboratory and Lawrence Livermore National Laboratory
Downloads 196 (387,924)

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compositional flow, poromechanics, geological storage modeling

2.

Deep Learning-Accelerated 3d Carbon Storage Reservoir Pressure Forecasting Based on Data Assimilation Using Surface Displacement from Insar

Number of pages: 41 Posted: 07 Mar 2022
Hewei Tang, Pengcheng Fu, Honggeun Jo, Su Jiang, Christopher Sherman, François Hamon, Nicholas Azzolina and Joseph Morris
Lawrence Livermore National Laboratory, Lawrence Livermore National Laboratory, Lawrence Livermore National Laboratory, Lawrence Livermore National Laboratory, Lawrence Livermore National Laboratory, TotalEnergies E&P Research & Technology, University of North Dakota - Energy & Environmental Research Center and Lawrence Livermore National Laboratory
Downloads 45 (1,121,190)
Citation 5

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data assimilation, deep learning, geologic carbon storage, surrogate modeling, ES-MDA

3.

Accelerated Training of Deep Learning Surrogate Models for Surface Displacement and Flow, with Application to Mcmc-Based History Matching of Co2 Storage Operations

Number of pages: 50 Posted: 14 Aug 2024
Yifu Han, François Hamon and Louis J. Durlofsky
Stanford University, TotalEnergies E&P Research & Technology and Stanford University
Downloads 44 (1,133,231)

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geological carbon storage, coupled flow and geomechanics, deep learning surrogate, history matching, hierarchical MCMC, model error