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The Method of Oilfield Development Risk Forecasting and Early Warning Using Revised Bayesian Network
Joint Authors
Zhong, Yi-hua
Liu, Yuxin
Lin, Xuxu
Luo, Shiming
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-03-07
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Oilfield development aiming at crude oil production is an extremely complex process, which involves many uncertain risk factors affecting oil output.
Thus, risk prediction and early warning about oilfield development may insure operating and managing oilfields efficiently to meet the oil production plan of the country and sustainable development of oilfields.
However, scholars and practitioners in the all world are seldom concerned with the risk problem of oilfield block development.
The early warning index system of blocks development which includes the monitoring index and planning index was refined and formulated on the basis of researching and analyzing the theory of risk forecasting and early warning as well as the oilfield development.
Based on the indexes of warning situation predicted by neural network, the method dividing the interval of warning degrees was presented by “ 3 σ ” rule; and a new method about forecasting and early warning of risk was proposed by introducing neural network to Bayesian networks.
Case study shows that the results obtained in this paper are right and helpful to the management of oilfield development risk.
American Psychological Association (APA)
Zhong, Yi-hua& Liu, Yuxin& Lin, Xuxu& Luo, Shiming. 2016. The Method of Oilfield Development Risk Forecasting and Early Warning Using Revised Bayesian Network. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1112887
Modern Language Association (MLA)
Zhong, Yi-hua…[et al.]. The Method of Oilfield Development Risk Forecasting and Early Warning Using Revised Bayesian Network. Mathematical Problems in Engineering No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1112887
American Medical Association (AMA)
Zhong, Yi-hua& Liu, Yuxin& Lin, Xuxu& Luo, Shiming. The Method of Oilfield Development Risk Forecasting and Early Warning Using Revised Bayesian Network. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1112887
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112887