System and method for automating exploration or production of subterranean resource
First Claim
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1. A method for automating exploration or production of subterranean resources, comprising:
- representing a first body of knowledge relevant to exploration or production of subterranean resources in an ontology, the first body of knowledge comprises a Bayesian Belief Network comprising conditional probabilities linking exploration or production problems to observable or detectable physical quantities;
representing a second body of knowledge relevant to exploration or production of subterranean resources in the ontology, wherein the second body of knowledge is a stochastic grammar comprising rules to interpret a data stream in terms of activities performed during an exploration or production operation;
producing a first interpretation product from the first body of knowledge, wherein the first interpretation product comprises a first set of indexed values;
producing a second interpretation product from the second body of knowledge, wherein the second interpretation product comprises a second set of indexed values;
correlating the first and second interpretation products to produce rules reflecting how the first set of indexed values affect the second set of indexed values; and
using the rules to automate at least one task associated with the exploration or production of subterranean resources.
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Abstract
A method and system for automating exploration and production of subterranean resources, using data collected from exploration and production activities, including drilling rig data and/or the like is described. The method and system include the use of a knowledge representation containing representation of uncertainty in the exploration and production operations.
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9 Claims
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1. A method for automating exploration or production of subterranean resources, comprising:
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representing a first body of knowledge relevant to exploration or production of subterranean resources in an ontology, the first body of knowledge comprises a Bayesian Belief Network comprising conditional probabilities linking exploration or production problems to observable or detectable physical quantities; representing a second body of knowledge relevant to exploration or production of subterranean resources in the ontology, wherein the second body of knowledge is a stochastic grammar comprising rules to interpret a data stream in terms of activities performed during an exploration or production operation; producing a first interpretation product from the first body of knowledge, wherein the first interpretation product comprises a first set of indexed values; producing a second interpretation product from the second body of knowledge, wherein the second interpretation product comprises a second set of indexed values; correlating the first and second interpretation products to produce rules reflecting how the first set of indexed values affect the second set of indexed values; and using the rules to automate at least one task associated with the exploration or production of subterranean resources. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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Specification