Affiliation:
1. Northeast Petroleum University
Abstract
The process of multi-back after blending water from one station is used in a block of Daqing oilfield, for saving energy, reducing consumption and easy to manage. For this block’s water blending system, research on its blending parameters optimization is carried on. According to the block’s characteristic of the process, the characteristic of energy cost minimum as objective function, setting up the multi-back after blending water from one station system’s parameter optimization mathematical model[1]. The model belongs to nonlinear programming problems with constraints, the mixed penalty function method and the improved conjugate direction method are used to solve the model, the optimum water blending temperature is determined by optimization calculating as 62.1°C and quantity of blending water a year is 1.13×105 t . By doing so, running costs saved 220,000 yuan per year to achieve the goal of saving energy and reducing consumption.
Publisher
Trans Tech Publications, Ltd.
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