Use of general bayesian networks in oilfield operations
US8473435B2 · kind B2 · utility
3Cited by
15References
12Claims
0Family size
Assignee
Inventor
Key dates
| Filing date | Mar 9, 2010 |
| Grant date | Jun 25, 2013 |
| Priority date | — |
| Expiry date | Oct 21, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of the present invention provide methods of using General Bayesian Networks to automate oilfield operations. In certain aspects, a Monte-Carlo method is used to propagate probability density functions for root-variables to continuous-valued hidden variables reflecting some oilfield operation properties. Evidence in the form of observed properties are used to weight samples used in the Monte-Carlo process thereby propagating the observed values onto other variables. The inferred probability distributions are provided to an oilfield control system or monitoring system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.