International audienceThese 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 ...
At IFP, optimization problems are encountered in many dierent applications, such as seismic tomograp...
A cognitive modelling based new inversion method, the successive differential evolution (DE-S) algor...
Pre-stack AVO inversion of seismic data is a modeling tool for estimating subsurface elastic propert...
International audienceReservoir characterization inverse problem aims at building reservoir models c...
International audienceIntegrated inversion of production history data and 4D seismic data for reserv...
International audienceThe goal of reservoir characterization is the estimation of unknown reservoir ...
A Derivative-Free Trust-Region (DFTR) algorithm is proposed to solve the robust well control optimiz...
This master's thesis is motivated by the oil field development challenge. This is a very big and com...
Abstract: Numerical models used nowadays in oil reservoir characterization are increasing in com-ple...
AbstractOil production optimization involves the determination of optimum well controls (e.g., well ...
We worked in this thesis on a classical inverse problem in the petroleum industry, historymatching. ...
The cyclic nature of oil price and the incentive from an optimal field development strategy has made...
In Petroleum Engineering, reservoir management aims to maximise the profit from a hydrocarbon reserv...
Production optimization for water flooding in the secondary phase of oil recovery is the main topic ...
With an increasing demand for hydrocarbon reservoir produces such as oil, etc., and difficulties in ...
At IFP, optimization problems are encountered in many dierent applications, such as seismic tomograp...
A cognitive modelling based new inversion method, the successive differential evolution (DE-S) algor...
Pre-stack AVO inversion of seismic data is a modeling tool for estimating subsurface elastic propert...
International audienceReservoir characterization inverse problem aims at building reservoir models c...
International audienceIntegrated inversion of production history data and 4D seismic data for reserv...
International audienceThe goal of reservoir characterization is the estimation of unknown reservoir ...
A Derivative-Free Trust-Region (DFTR) algorithm is proposed to solve the robust well control optimiz...
This master's thesis is motivated by the oil field development challenge. This is a very big and com...
Abstract: Numerical models used nowadays in oil reservoir characterization are increasing in com-ple...
AbstractOil production optimization involves the determination of optimum well controls (e.g., well ...
We worked in this thesis on a classical inverse problem in the petroleum industry, historymatching. ...
The cyclic nature of oil price and the incentive from an optimal field development strategy has made...
In Petroleum Engineering, reservoir management aims to maximise the profit from a hydrocarbon reserv...
Production optimization for water flooding in the secondary phase of oil recovery is the main topic ...
With an increasing demand for hydrocarbon reservoir produces such as oil, etc., and difficulties in ...
At IFP, optimization problems are encountered in many dierent applications, such as seismic tomograp...
A cognitive modelling based new inversion method, the successive differential evolution (DE-S) algor...
Pre-stack AVO inversion of seismic data is a modeling tool for estimating subsurface elastic propert...