Searched for: subject:"Gradient%5C-based%5C+optimization"
(1 - 6 of 6)
document
Jesus de Moraes, R. (author), Fonseca, Rahul Mark (author), Helici, Mircea A. (author), Heemink, A.W. (author), Jansen, J.D. (author)
We present an efficient workflow that combines multiscale (MS) forward simulation and stochastic gradient computation - MS-StoSAG - for the optimization of well controls applied to waterflooding under geological uncertainty. A two-stage iterative Multiscale Finite Volume (i-MSFV), a mass conservative reservoir simulation strategy, is employed as...
journal article 2019
document
Jesus de Moraes, R. (author), Rodrigues, José R P (author), Hajibeygi, H. (author), Jansen, J.D. (author)
A generic framework for the computation of derivative information required for gradient-based optimization using sequentially coupled subsurface simulation models is presented. The proposed approach allows for the computation of any derivative information with no modification of the mathematical framework. It only requires the forward model...
journal article 2018
document
Jesus de Moraes, R. (author), Rodrigues, José R P (author), Hajibeygi, H. (author), Jansen, J.D. (author)
An efficient multiscale (MS) gradient computation method for subsurface flow management and optimization is introduced. The general, algebraic framework allows for the calculation of gradients using both the Direct and Adjoint derivative methods. The framework also allows for the utilization of any MS formulation that can be algebraically...
journal article 2017
document
Korounis, D. (author), Durlofsky, L.J. (author), Jansen, J.D. (author), Aziz, K. (author)
An adjoint formulation for the gradient-based optimization of oil-gas compositional reservoir simulation problems is presented. The method is implemented within an automatic differentiation-based compositional flow simulator (Stanford's AD-GPRS). The development of adjoint procedures for general compositional problems is much more challenging...
journal article 2014
document
Namdar Zanganeh, M. (author)
Chemical enhanced oil recovery (EOR) is relatively expensive due to the high cost of the injected chemicals such as surfactants. Excessive use of these chemicals leads to processes that are not economically feasible. Therefore, optimizing the volume of these injected chemicals is of extreme importance. We intend to maximize the long-term...
doctoral thesis 2011
document
Marcelet, M. (author), Peter, J. (author), Carrier, G. (author)
In order to solve a multi-disciplinary optimization problem with strongly coupled disciplines, like the design of a commercial aircraft's wing, an aero-structural design framework is currently under construction. The optimization process is gradient-based and relies on the method of feasible directions. Several constraints can be applied, but...
conference paper 2006
Searched for: subject:"Gradient%5C-based%5C+optimization"
(1 - 6 of 6)