A Random Dependent-Chance Programming Model of Oilfield Measures
Yu Zhang · Jiangxi kexue · 2008
A dependent-chance programming model is put forward for incremental measures program of Oilfield,which uses maximizing the chance function of the random event that increasing output is more than plan output as objective and takes both cost and work quantity into account.At the same time,the process of its hybrid intelligent algorithm is also provided.A real example testifies the efficiency,practicability and intellectual ability of this method,which provides a new decision basis for the incremental measures program of oilfield.