Modeling uncertainty in reservoir loss functions using fuzzy sets

Modeling with Uncertainty – Interval Computations Using Fuzzy Sets

A new method of interval computations using fuzzy sets and stochastic processes is proposed. It is concerned with the development of a practical technology that can be used by engineers and researchers to facilitate the process of decision making under uncertainty, in a state of “bounded rationality”. The methodology called Interval Resolution considers a model and interval values specified by ...

Uncertainty Reduction in Reservoir Modeling

This paper presents a method by which uncertainty in reservoir modeling can be reduced by integrating observed data in the estimation of model parameters. The problem is inverse and ill-posed. Further, since the observed data and the reservoir properties are non-linearly related, reducing uncertainty becomes a non-trivial task. The methodology involves generating multiple reservoir descriptions...

Prediction under Uncertainty in Reservoir Modeling

Reservoir simulation is routinely employed in the prediction of reservoir performance under different depletion and operating scenarios. Usually, a single history matched model, conditioned to production data, is obtained. The model is then used to forecast future production profiles. Since the history match is non-unique, this is essentially an inverse problem. Hence the forecast production pr...

Fuzzy sets, uncertainty and information

Uncertainty Analysis Using Fuzzy Sets for Decision Support System

In agricultural domain application, it is becoming increasingly important to preserve planting material behavior when interact with an environment that is not under its control. However, the uncertainty always inherent such inaccurate decisions when a present of incomplete information in sampling data set (Chao, et al., 2005; Latkowski, 2002; Michelini, et al., 1995). As a result, the proper de...