Baker Hughes Holdings LLC

Baker Hughes Oilfield Operations LLC

Lei Sui

Chong Tao

Anthony Kowal

Aniruddha S Weling

Daniel Robert Johnson

Joshua Daniel Brooks

Randy Scott Pfenninger

Yufeng Huang

Michael Muller

A method of in situ ultrasonic flow meter validation includes receiving data characterizing first signal diagnostics and data characterizing a first speed of a first acoustic signal through a gas mixture along a first path in a pipe. The first speed of the first acoustic signal is detected by a first channel of an ultrasonic flow meter including a first pair of transducers that are separated by a first path length of the first path. The gas mixture is configured to flow along a flow path in the pipe. The method also includes determining a status associated with the ultrasonic flow meter based on the data characterizing the first signal diagnostics and/or a difference between the first speed of the first acoustic signal and an independently calculated speed of sound. The speed of sound is calculated based on one or more properties of the gas mixture.

In situ ultrasonic flow meter validation

A system for flare combustion control includes a sound speed measurement device for measuring sound speed in a flare vent gas, and a flare combustion controller including a memory and a processor. The processor is configured to receive the measured sound speed and determine, based on the measured sound speed, a molecular weight of the flare vent gas. The processor is further configured to determine, based on the determined molecular weight, a net heating value of the flare vent gas, and adjust the net heating value of the flare vent gas by regulating an amount of a supplemental fuel gas in the flare vent gas.

Integrated flare combustion control

Systems and methods for monitoring emissions of a combusted gas are provided. The method includes determining a first net heating value of a flare gas. The method also includes determining a second net heating value of a combustion gas including the flare gas. The second net heating value can be determined based upon the first net heating value and a volumetric flow rate of the flare gas. Based upon the value of the second net heating value, an empirical model or a non-parametric machine learning model can be selected. A combustion efficiency of the combustion gas can be determined using the selected model, the second net heating value, and selected ones of the process conditions and the environmental conditions. Total emissions of the combustion mixture can be further determined from the combustion efficiency and a volumetric flow rate of the combustion gas.

Emission monitoring of flare systems

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Winchester, MA, United States of America

Lei Sui