Combining belief networks to generate expected outcomes

Boring or penetrating the earth – Automatic control

Reexamination Certificate

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C175S040000

Reexamination Certificate

active

07861800

ABSTRACT:
A method is described for determining an oilfield parameter for a drilling operation in an oilfield, the oilfield having a well site with a drilling tool advanced into a subterranean formation with geological structures and reservoirs therein. A first set of decision factors and a second set of decision factors about the drilling operation are identified. Each of the first set of decision factors is contained within a first set of nodes, and each of the second set of decision factors is contained within a second set of nodes. Both the first set of nodes and the second set of nodes contain a set of common nodes, which are common to both the first and second sets. The first set of nodes is associated to create a first belief network and the second set of nodes is associated to create a second belief network. Then, the set of common nodes of the first belief network is associated with the set of common nodes of the second belief network to form a multinet belief network. Oilfield parameter can be generated from the multinet belief network.

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Akadang et al., “An Approach for Managing Uncertainties in Well Design Coupling Monte Carlo and Bayesian Networks: Practical Application to Well Planning in Nigeria”, 31st Annual SPE International Technical Conference and Exhibition , Abuja, Nigeria, Aug. 2007, pp. 1-11.

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