A derivative free optimization method for reservoir characterization inverse problem

Hoël Langouët (1) , Delphine Sinoquet (1) , Sébastien da Veiga (1)

1 IFPEN - IFP Energies nouvelles

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.

Domains: Sciences of the Universe [physics]; Sciences of the Universe [physics]; Earth Sciences; Computer Science [cs]

Hoël Langouët, Delphine Sinoquet, Sébastien da Veiga. A derivative free optimization method for reservoir characterization inverse problem. EAGE - Conference & Exhibition incorporating SPE EUROPEC, Jun 2010, Barcelone, Spain. ⟨hal-02284341⟩