NDLI: Research on intelligent decision-making system for selecting development method of heavy oil reservoir

Content Provider	IEEE Xplore Digital Library
Author	Jianjun Zhang Junfeng Shi Yahui Wang Fanglan Du
Copyright Year	2010
Description	Author affiliation: Research Institute of Petroleum Exploration & Development, CNPC, Beijing, China (Jianjun Zhang; Yahui Wang) \|\| Research Institute of Drilling & Production, Jidong, Oilfield, Tangshan, China (Junfeng Shi; Fanglan Du)
Abstract	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 can't 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 decision-making 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.
Starting Page	1507
Ending Page	1512
File Size	628604
Page Count	6
File Format	PDF
ISBN	9781424479733
e-ISBN	9781424479740
DOI	10.1109/CAIDCD.2010.5681923
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Economics Viscosity expert system Heavy oil reservoir Production development method Reservoirs Combustion neural network Petroleum
Content Type	Text
Resource Type	Article

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