Optimal operation of reservoir has been an active area of research for many years. Various techniques have been developed and adopted for reservoir operation incorporating the uncertainty due to stochastic nature of inflows and demands. However there is not much literature reported on models incorporating uncertainty caused due to imprecise goals and objectives. In the present paper a fuzzy opt...

Water injection is an enhanced oil recovery method which is applied for number of reservoirs especially in the offshore fields around the world. Sea-water injection process is usually associated with important concerns affecting the efficiency, safety, and economy of the operation like formation damage, mineral scaling, early breakthrough and corrosion. Incompatibility between injected and ...

This paper utilizes the Colliding Bodies of Optimization (CBO), Enhanced Colliding Bodies of Optimization (ECBO) and Vibrating Particles System (VPS) algorithms to optimize the reservoir system operation. CBO is based on physics equations governing the one-dimensional collisions between bodies, with each agent solution being considered as an object or body with mass and ECBO utilizes memory to ...

Reservoir operation involves many critical decisions due to unpredicted circumstances, such as drought or flood. The reservoir water release decision is one of the challenging tasks for the reservoir operator since the decision to deal with many complicated decision variables and multipurpose operation. Typically, the water that flow into the reservoir comes from the upstream river network. The...

Optimal reservoir operation model is developed using Multi Objective Fuzzy Linear Programming (MOFLP) which is computationally simple and easy to implement to the real world situation of reservoir operation. Application of MOFLP is demonstrated through the case study, Hirakud reservoir in Orissa State, India. Problem is formulated with two objective functions viz. maximization of releases for i...

A user-friendly window based decision support model to support the reservoir operators for irrigation management is developed. Uncertainty is modeled by a data mining approach – Decision tree – in a multi stage environment, which includes different possible configurations of inflow in a wide time horizon. The aim is to identify different patterns and essential features on which to base a robust...

In this article, a fuzzy rule based model is developed for the operation of a single purpose reservoir. The model operates on an ‘if – then’ principle, where the ‘if’ is a vector of fuzzy premises and the ‘then’ is a vector of fuzzy consequences. The steps involved in the development of the model include, construction of membership functions for the inflow, storage, demand and the release, form...

The effectiveness of three simple flood operating rules in reducing the peak flow is compared for four simplified hydrograph shapes. The Minimize Flood Peak rule uses available flood storage capacity to store peak flows from an accurate hydrograph forecast. The less demanding Minimize Flooding Frequency operating rule releases water at or below channel capacity until the flood storage pool is f...