Fuzzy Optimization for Oilfield Development and Adjustment

When an oilfield has been developed, in order to keep the scale of its production and get best financial benefits, a lot of data must be known, such as static acknowledges, changing rule of dynamic indexes, the investment of steel, equipment and labor in oilfield, the changing of oil price. According to these data, the development plan need to be constantly adjusted. The adjustment methods include dense drilling, fracture, water shutoff, secondary perforation, artificial lift and so on. Each method need plenty of capital. It is of importance for oil production to regard the high financial benefit as the target function and then to optimize these measurements. For example, in Daqing oilfield over $1108 can be saved after finishing the optimized projects. This paper aimed at Daqing oilfield which is the biggest one in China, proposed a fuzzy optimization model which having the boundary cost as target function and comprehensively considering the above adjustments and their random or fuzzy variables. With this method, a comprehensive method for adjustments was to be optimized in Lamadian zone of Daqing oilfield.