Machine learning assisted reservoir simulation
AssigneeInternational Business Machines Corporation
InventorsPaul Borrel, Matthias Kormaksson, Carmen Nilda Mena Paz
Life of this patent
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Abstract
An embodiment includes a method for use by at least one machine learning classifier. The method comprises the machine learning classifier obtaining one or more recent results from at least one geomechanical simulation; the machine learning classifier comparing the recent results to stored historical data; and, based on the comparing, the machine learning classifier deciding at least one reservoir model for use by at least one reservoir simulation.
Claims20
An apparatus for controlling wellhead equipment in a fluid reservoir, comprising:
- a memory;
- and
- at least one processor coupled with the memory, the processor operative to implement at least one machine learning classifier, the machine classifier being operative to:
- obtain one or more recent results from at least one geomechanical simulation;
- compare the recent results to stored historical data;
- based on the comparing, decide at least one reservoir model for use by at least one reservoir simulation;
- and
- control the wellhead equipment using the results from the at least one geomechanical simulation and from the at least one reservoir simulation, wherein:
- the one or more recent results from the at least one geomechanical simulation comprise at least one point, each point comprising at least one strain value and at least one stress value for at least a given geomaterial;
- and
- the stored historical data comprises at least one stress-strain curve for at least the given geomaterial.
An apparatus for controlling wellhead equipment in a fluid reservoir, comprising:
- a memory;
- and
- at least one processor coupled with the memory, the processor operative to implement at least one machine learning classifier, the machine classifier being operative to:
- obtain one or more recent results from at least one geomechanical simulation;
- compare the recent results to stored historical data;
- based on the comparing, decide at least one reservoir model for use by at least one reservoir simulation;
- and
- control the wellhead equipment using the results from the at least one geomechanical simulation and from the at least one reservoir simulation, wherein:
- the machine classifier is operative to compare by determining at least one characteristic of at least one fracture in at least one geomaterial;
- and
- the machine classifier is operative to decide on the at least one reservoir model based at least in part on the determined characteristic of the fracture.
A non-transitory computer readable medium comprising computer executable instructions which when executed by a computer cause the computer to perform a method for controlling wellhead equipment in a fluid reservoir, the method comprising:
- implementing at least one machine learning classifier;
- obtaining, with the implemented machine learning classifier, one or more recent results from at least one geomechanical simulation;
- comparing, with the implemented machine learning classifier, the recent results to stored historical data;
- based on the comparing, deciding, with the implemented machine learning classifier, at least one reservoir model for use by at least one reservoir simulation;
- and
- controlling, with the implemented machine learning classifier, the wellhead equipment using the results from the at least one geomechanical simulation and from the at least one reservoir simulation, wherein:
- the one or more recent results from the at least one geomechanical simulation comprise at least one point, each point comprising at least one strain value and at least one stress value for at least a given geomaterial;
- and
- the stored historical data comprises at least one stress-strain curve for at least the given geomaterial.
Dependencies are inferred from the claim text.