In this paper, an improved Ant Colony Optimization (ACO) algorithm is proposed for reservoir operation. Through a collection of cooperative agents called ants, the near-optimum solution to the reservoir operation can be e ectively achieved. To apply the proposed ACO algorithm, the problem is approached by considering a nite horizon with a time series of in ow, classifying the reservoir volume t...

a proper understanding of reservoir fluid phase behavior is the first crucial step in the development and production of an oil/gas field. this paper addresses the challenges and errors associated with the fluid sampling that may arise before, during and after the sampling operation. for this aim, dst and pvt data of exploration and production wells of a supergiant offshore gas condensate reserv...

Although many optimization models and methods are applied to the optimization of reservoir operation at present, the optimal operation decision that is made through these models and methods is just a retrospective review. Due to the limitation of hydrological prediction accuracy, it is practical and feasible to obtain the suboptimal or satisfactory solution by the established operation rules in...

In the present study an evolutionary based optimization algorithm Differential Evolution (DE) is applied to a case study of Bisalpur project, Rajasthan, India. The objective of DE based planning model is to determine suitable cropping pattern which yields maximum net benefits. Ten different strategies (variations) of DE are analyzed with various population sizes, crossover constants and weighti...