Abstract : These data (pressure, oil/water/gas rates at the wells and 4D seismic data) are compared with simulated data to determine petrophysical properties of the reservoir. The underlying optimization problem requires dedicated techniques : derivatives are often not available, the associated forward problems are CPU time consuming and some constraints may be introduced to handle a priori information. In this paper, we propose a derivative free optimization method based on trust region approach coupled with local quadratic interpolating models of the cost function and of non linear constraints. Results obtained with this method on a synthetic reservoir application with the joint inversion of production data and 4D seismic data are presented. Its performances are compared with a classical sequential quadratic programming method in terms of numbers of simulation of the forward problem.
https://hal-ifp.archives-ouvertes.fr/hal-02284341 Contributor : Pascale MallaretConnect in order to contact the contributor Submitted on : Wednesday, September 11, 2019 - 4:37:06 PM Last modification on : Tuesday, January 12, 2021 - 1:58:02 PM Long-term archiving on: : Friday, February 7, 2020 - 6:00:13 PM