Data-driven feature engineering and machine learning for analysis of distributed sensing data
AssigneeHalliburton Energy Services, Inc.
InventorRichard Lloyd Gibson, JR.
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Abstract
Provided, in one aspect, is a method comprising receiving data of measurements from a distributed sensing system having sensors distributed along different depths of a wellbore formed in a subsurface formation; and performing signal processing of the data to output a number of modes, wherein each mode includes a subset of the data that quantifies behavior of at least one of a fluid in the subsurface formation and a rock in the subsurface formation on a different combination of locations in the wellbore and timing of the measurements.
Claims20
A method comprising:
- receiving data of measurements from a distributed sensing system having sensors distributed along different depths of a wellbore formed in a subsurface formation;
- and
- performing signal processing of the data to output a number of modes, wherein each mode includes a subset of the data that quantifies behavior of at least one of a fluid in the subsurface formation and a rock in the subsurface formation on a different combination of locations in the wellbore and timing of the measurements.
A system, comprising:
- a distributed sensing system having sensors distributed along different depths of a wellbore formed in a subsurface formation;
- a processor;
- and
- a non-transitory computer readable medium having instructions stored thereon that are executable by the processor to cause the processor,
- receive measurements of data from the distributed sensing system;
- and
- perform signal processing of the data to output a number of modes, wherein each mode includes a subset of the data that quantifies behavior of at least one of a fluid in the subsurface formation and a rock in the subsurface formation on a different combination of locations in the wellbore and timing of the measurements.
A non-transitory, computer-readable medium having instructions stored thereon that are executable by a processor to perform operations comprising:
- receiving data of measurements from a distributed sensing system having sensors distributed along different depths of a wellbore formed in a subsurface formation;
- and
- performing signal processing of the data to output a number of modes, wherein each mode includes a subset of the data that quantifies behavior of at least one of a fluid in the subsurface formation and a rock in the subsurface formation on a different combination of locations in the wellbore and timing of the measurements.
Dependencies are inferred from the claim text.