Research on Intelligent Decision-making system For Selecting Development Method of Heavy oil reservoir
Choosing the right development method is to determine whether or not the heavy oil reservoirs can development successfully. At present, the development method of heavy oil is decided by experts of heavy oil reservoir development. So, different experts may obtain different results, which cant avoid the subjectivity brought by experts. To the problem, the paper established an intelligent decision-making system applied expert system and neural network to select the development method of heavy oil reservoir intelligently. Expert system play the role of summarizing and working up experiential knowledge of heavy oil reservoir development by knowledge base and the role of simulating experts’ thinking process by inference engine. In the knowledge of KB, the weight of the sensitivity parameters of the heavy oil reservoir that affect the selecting significantly can not be accurately man-made determined. The article introduced three lays of neural network system to obtain the trusty weight through training a large number of samples. The Intelligent decisionmaking system for selecting development method of heavy oil reservoir combined expert system and neural network not only make use of expert’s valuable knowledge effectively, but also avoided the subjectivity brought by experts. The result of proven examples showed that the intelligent decision-making system can select the development method of heavy oil reservoir rapidly and scientifically.
Heavy oil reservoir development method expert system neural network
Jianjun Zhang Junfeng Shi Yahui Wang Fanglan Du
Research Institute of Petroleum Exploration & Development CNPC Beijing, China Research Institute of Drilling & Production ,Jidong, Oilfield Tangshan, China
国际会议
浙江义乌
英文
1507-1512
2010-11-17（万方平台首次上网日期，不代表论文的发表时间）