MACHINE LEARNING-BASED WELLBORE FLUID FLOW RATE PREDICTION

Number of patents in Portfolio can not be more than 2000

United States of America Patent

APP PUB NO 20240102835A1
SERIAL NO

17955170

Stats

ATTORNEY / AGENT: (SPONSORED)

Importance

Loading Importance Indicators... loading....

Abstract

See full text

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.

Loading the Abstract Image... loading....

First Claim

See full text

Family

Loading Family data... loading....

Patent Owner(s)

Patent OwnerAddress
HALLIBURTON ENERGY SERVICES INCTEXAS USA

International Classification(s)

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Drew, Julian Edmund Aurora, US 2 0
Jaaskelainen, Mikko Houston, US 124 689
Schaeffer, Benjamin Simon Denver, US 3 0

Cited Art Landscape

Load Citation

Patent Citation Ranking

Forward Cite Landscape

Load Citation