Use of Emulator Methodology for Uncertainty-Reduction Quantification

Most simulation models go through a series of iterations before being judged as giving an adequate representation of the physical system. This can be difficult because the input space to be searched may be high dimensional, the collection of outputs to be matched may be very large, and each single evaluation may take a long time. Because the uncertainty analysis is complex and time consuming, in this paper, a stochastic representation of the computer model, called an emulator, was constructed to quantify the reduction in the parameter input space.

Introduction

Reservoir simulators are important and widely used in reservoir management. They are used in reservoir-performance prediction and for decision making.