An artificial neural network for predicting and optimizing immiscible flood performance in heterogeneous reservoirs
Author:
- 1 October 1998
- journal article
- Published by Elsevier in Computers & Chemical Engineering
- Vol. 22 (11) , 1699-1709
Abstract
No abstract availableKeywords
This publication has 15 references indexed in Scilit:
- Global scale-up of reservoir model permeability with local grid refinementJournal of Petroleum Science and Engineering, 1999
- A neural network prediction model of fluid displacements in porous mediaComputers & Chemical Engineering, 1996
- Fractured Reservoir Characterization and Performance Forecasting Using Geomechanics and Artificial Intelligence1995
- An artificial neural network for the prediction of immiscible flood performanceEnergy & Fuels, 1995
- Procedures for optimization problems with a mixture of bounds and general linear constraintsACM Transactions on Mathematical Software, 1984
- A globally convergent method for nonlinear programmingJournal of Optimization Theory and Applications, 1977
- The Convergence of a Class of Double-rank Minimization Algorithms 1. General ConsiderationsIMA Journal of Applied Mathematics, 1970
- A new approach to variable metric algorithmsThe Computer Journal, 1970
- A family of variable-metric methods derived by variational meansMathematics of Computation, 1970
- On Physically Similar Systems; Illustrations of the Use of Dimensional EquationsPhysical Review B, 1914