An intelligent pumping system to cope with gas volume fraction of the oil-well multi-phase flow

Ali Hashemi; Ala E. Omrani; Matthew A. Franchek; Karolos Grigoriadis; Behrouz Ebrahimi

doi:10.1115/DSCC2014-6171

An intelligent pumping system to cope with gas volume fraction of the oil-well multi-phase flow

Ali Hashemi, Ala E. Omrani, Matthew A. Franchek, Karolos Grigoriadis, Behrouz Ebrahimi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A novel approach is presented to model the interplay between the gas volume fraction (GVF) and the driving force of the pumping unit. A physics-based model is proposed to predict the down-hole pressure for a constant, but unknown GVF and given oil flow-rate out of the well. The identified down-hole pressure is used to model the saddle-bearings axial displacements, which are indicative of polished-rod loading. The imbalance between the data obtained from the detailed model of the pumping unit, and predicted bearing's displacements can be employed then to estimate the value of the GVF. The resulted GVF is incorporated into the suckerrod string dynamics to determine the natural frequency of the system. A control strategy is then used to adjust the pump speed to compensate for the GVF variations while avoiding the resonance frequency of the sucker-rod string. A low dimensional simulation is performed and the results are demonstrated for upstroke movement of the sucker-rod.

Original language	English (US)
Title of host publication	ASME 2014 Dynamic Systems and Control Conference, DSCC 2014
Publisher	American Society of Mechanical Engineers
Volume	3
ISBN (Print)	9780791846209
DOIs	https://doi.org/10.1115/DSCC2014-6171
State	Published - 2014
Event	ASME 2014 Dynamic Systems and Control Conference, DSCC 2014 - San Antonio, United States Duration: Oct 22 2014 → Oct 24 2014

Other

Other	ASME 2014 Dynamic Systems and Control Conference, DSCC 2014
Country/Territory	United States
City	San Antonio
Period	10/22/14 → 10/24/14

ASJC Scopus subject areas

Control and Systems Engineering
Mechanical Engineering
Industrial and Manufacturing Engineering

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10.1115/DSCC2014-6171

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Hashemi, A, Omrani, AE, Franchek, MA, Grigoriadis, K & Ebrahimi, B 2014, An intelligent pumping system to cope with gas volume fraction of the oil-well multi-phase flow. in ASME 2014 Dynamic Systems and Control Conference, DSCC 2014. vol. 3, American Society of Mechanical Engineers, ASME 2014 Dynamic Systems and Control Conference, DSCC 2014, San Antonio, United States, 10/22/14. https://doi.org/10.1115/DSCC2014-6171

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abstract = "A novel approach is presented to model the interplay between the gas volume fraction (GVF) and the driving force of the pumping unit. A physics-based model is proposed to predict the down-hole pressure for a constant, but unknown GVF and given oil flow-rate out of the well. The identified down-hole pressure is used to model the saddle-bearings axial displacements, which are indicative of polished-rod loading. The imbalance between the data obtained from the detailed model of the pumping unit, and predicted bearing's displacements can be employed then to estimate the value of the GVF. The resulted GVF is incorporated into the suckerrod string dynamics to determine the natural frequency of the system. A control strategy is then used to adjust the pump speed to compensate for the GVF variations while avoiding the resonance frequency of the sucker-rod string. A low dimensional simulation is performed and the results are demonstrated for upstroke movement of the sucker-rod.",

author = "Ali Hashemi and Omrani, {Ala E.} and Franchek, {Matthew A.} and Karolos Grigoriadis and Behrouz Ebrahimi",

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AU - Hashemi, Ali

AU - Omrani, Ala E.

AU - Franchek, Matthew A.

AU - Grigoriadis, Karolos

AU - Ebrahimi, Behrouz

PY - 2014

Y1 - 2014

N2 - A novel approach is presented to model the interplay between the gas volume fraction (GVF) and the driving force of the pumping unit. A physics-based model is proposed to predict the down-hole pressure for a constant, but unknown GVF and given oil flow-rate out of the well. The identified down-hole pressure is used to model the saddle-bearings axial displacements, which are indicative of polished-rod loading. The imbalance between the data obtained from the detailed model of the pumping unit, and predicted bearing's displacements can be employed then to estimate the value of the GVF. The resulted GVF is incorporated into the suckerrod string dynamics to determine the natural frequency of the system. A control strategy is then used to adjust the pump speed to compensate for the GVF variations while avoiding the resonance frequency of the sucker-rod string. A low dimensional simulation is performed and the results are demonstrated for upstroke movement of the sucker-rod.

AB - A novel approach is presented to model the interplay between the gas volume fraction (GVF) and the driving force of the pumping unit. A physics-based model is proposed to predict the down-hole pressure for a constant, but unknown GVF and given oil flow-rate out of the well. The identified down-hole pressure is used to model the saddle-bearings axial displacements, which are indicative of polished-rod loading. The imbalance between the data obtained from the detailed model of the pumping unit, and predicted bearing's displacements can be employed then to estimate the value of the GVF. The resulted GVF is incorporated into the suckerrod string dynamics to determine the natural frequency of the system. A control strategy is then used to adjust the pump speed to compensate for the GVF variations while avoiding the resonance frequency of the sucker-rod string. A low dimensional simulation is performed and the results are demonstrated for upstroke movement of the sucker-rod.

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BT - ASME 2014 Dynamic Systems and Control Conference, DSCC 2014

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ER -

An intelligent pumping system to cope with gas volume fraction of the oil-well multi-phase flow

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