A systematic approach for estimation of reservoir rock properties using Ant Colony Optimization

Abstract

Optimization of reservoir parameters is an important issue in petroleum exploration and production. The Ant Colony Optimization<br />(ACO) is a recent approach to solve discrete and continuous optimization problems. In this paper, the Ant Colony Optimization is used<br />as an intelligent tool to estimate reservoir rock properties. The methodology is illustrated by using a case study on shear wave velocity<br />estimation from petrophysical data by the linear and nonlinear ACO models. The results of this research show that the ACO is a fast,<br />robust and cost-effective method for rock properties estimation. It is proposed that ant colony optimization aids in future reservoir<br />characterization studies.