Machine learning-based wellbore fluid flow rate prediction
AssigneeHalliburton Energy Services, Inc.
InventorsMikko Jaaskelainen, Benjamin Simon Schaeffer, Julian Edmund Drew
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Abstract
A method for configuring a learning machine to predict a flow rate of at least one phase of a fluid. The method comprises determining a feature set for the learning machine, the feature set including information derived from a signal generated by a flow of the fluid interacting with a fluidic oscillator in a wellbore. The method comprises configuring the learning machine with the feature set including information derived from the signal.
Claims20
A method for configuring a learning machine to predict a flow rate of at least one phase of a fluid, comprising:
- determining a feature set for the learning machine, the feature set including information derived from a signal generated by a flow of the fluid interacting with a fluidic oscillator in a wellbore;
- and
- configuring the learning machine with the feature set including information derived from the signal.
A non-transitory computer-readable medium including computer-executable instructions comprising:
- instructions to determine a feature set for a learning machine, the feature set including information derived from a signal generated by a flow of a fluid interacting with a fluidic oscillator in a wellbore;
- and
- instructions to configure the learning machine with the feature set including information derived from the signal.
A system comprising:
- a processor;
- and
- a computer-readable medium having instructions stored thereon that are executable by the processor, the instructions including
- instructions to determine a feature set for a learning machine, the feature set including information derived from a signal generated by a flow of a fluid interacting with a fluidic oscillator in a wellbore;
- and
- instructions to configure the learning machine with the feature set including information derived from the signal.
Dependencies are inferred from the claim text.