Section: Partnerships and Cooperations

European Initiatives

H2020 Projects

  • Title: Multiscale Inversion of Porous Rock Physics using High-Performance Simulators: Bridging the Gap between Mathematics and Geophysics

  • Program: H2020

  • Duration: April 2018 - March 2022

  • Coordinator: Universidad Del Pais Vasco (EHU UPV)

  • Partners:

    • Bcam - Basque Center for Applied Mathematics Asociacion (Spain)

    • Barcelona Supercomputing Center - Centro Nacional de Supercomputacion (Spain)

    • Universidad Del Pais Vasco Ehu Upv (Spain)

    • Universitat Politecnica de Catalunya (Spain)

    • REPSOL SA (Spain)

    • Pontificia Universidad Catolica de Valparaiso (Chile)

    • Curtin University of Technology (Australia)

    • The University of Texas System (USA)

    • University Nacional de Columbia (Colombia)

    • Pontificia Universidad Catolica de Chile (Chile)

    • Universidad Central de Venezuela (Venezuela)

    • University de Buenos Aires (Argentina)

    • Macquarie University (Australia)

  • Inria contact: Hélène BARUCQ

  • We will develop and exchange knowledge on applied mathematics, high-performance computing (HPC), and geophysics to better characterize the Earth´s subsurface. We aim to better understand porous rocks physics in the context of elasto-acoustic wave propagation phenomena. We will develop parallel high-continuity isogeometric analysis (IGA) simulators for geophysics. We will design and implement fast and robust parallel solvers for linear equations to model multi-physics electromagnetic and elasto-acoustic phenomena. We seek to develop a parallel joint inversion workflow for electromagnetic and seismic geophysical measurements. To verify and validate these tools and methods, we will apply the results to: characterise hydrocarbon reservoirs, determine optimal locations for geothermal energy production, analyze earthquake propagation, and jointly invert deep-azimuthal resistivity and elasto-acoustic borehole measurements. Our target computer architectures for the simulation and inversion software infrastructure consists of distributed-memory parallel machines that incorporate the latest Intel Xeon Phi processors. Thus, we will build a hybrid OpenMP and MPI software framework. We will widely disseminate our collaborative research results through publications, workshops, postgraduate courses to train new researchers, a dedicated webpage with regular updates, and visits to companies working in the area. Therefore, we will perform a significant role in technology transfer between the most advanced numerical methods and mathematics, the latest super-computer architectures, and the area of applied geophysics.