Geometrically Calibrated Network Models for Progressive Cavity Pump Design

Linear network models are promisingly simple progressive cavity pump design tools. Current linear network models are difficult to use in the design process because they require calibration against experimental data or computationally intensive simulation. In this paper we present new approaches for...

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প্রধান লেখক: Simon, Kevin, Slocum Jr., Alexander H
অন্যান্য লেখক: Massachusetts Institute of Technology. Department of Mechanical Engineering
বিন্যাস: প্রবন্ধ
প্রকাশিত: Society of Petroleum Engineers (SPE) 2021
অনলাইন ব্যবহার করুন:https://hdl.handle.net/1721.1/129597
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author Simon, Kevin
Slocum Jr., Alexander H
author2 Massachusetts Institute of Technology. Department of Mechanical Engineering
author_facet Massachusetts Institute of Technology. Department of Mechanical Engineering
Simon, Kevin
Slocum Jr., Alexander H
author_sort Simon, Kevin
collection MIT
description Linear network models are promisingly simple progressive cavity pump design tools. Current linear network models are difficult to use in the design process because they require calibration against experimental data or computationally intensive simulation. In this paper we present new approaches for implementing linear network progressive cavity pump models and provide new methods to accurately and quickly estimate the values of each resistor in the model from pump geometry for both laminar and turbulent flows. This paper also argues that sealing-line flow transitions from laminar to turbulent at orders of magnitude smaller Reynolds numbers than described in the literature thus far. We propose a new hypothesis for the point of transition to turbulent performance.
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spelling mit-1721.1/1295972022-09-26T14:33:59Z Geometrically Calibrated Network Models for Progressive Cavity Pump Design Simon, Kevin Slocum Jr., Alexander H Massachusetts Institute of Technology. Department of Mechanical Engineering Linear network models are promisingly simple progressive cavity pump design tools. Current linear network models are difficult to use in the design process because they require calibration against experimental data or computationally intensive simulation. In this paper we present new approaches for implementing linear network progressive cavity pump models and provide new methods to accurately and quickly estimate the values of each resistor in the model from pump geometry for both laminar and turbulent flows. This paper also argues that sealing-line flow transitions from laminar to turbulent at orders of magnitude smaller Reynolds numbers than described in the literature thus far. We propose a new hypothesis for the point of transition to turbulent performance. 2021-01-29T15:40:37Z 2021-01-29T15:40:37Z 2020-12 2020-10 Article http://purl.org/eprint/type/JournalArticle 1086-055X 1930-0220 https://hdl.handle.net/1721.1/129597 Simon, Kevin and Alexander H. Slocum. "Geometrically Calibrated Network Models for Progressive Cavity Pump Design." SPE Journal 1, 8 (December 2020): SPE-204465-PA © 2020 Society of Petroleum Engineers http://dx.doi.org/10.2118/204465-pa SPE Journal Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Society of Petroleum Engineers (SPE) Kevin Simon
spellingShingle Simon, Kevin
Slocum Jr., Alexander H
Geometrically Calibrated Network Models for Progressive Cavity Pump Design
title Geometrically Calibrated Network Models for Progressive Cavity Pump Design
title_full Geometrically Calibrated Network Models for Progressive Cavity Pump Design
title_fullStr Geometrically Calibrated Network Models for Progressive Cavity Pump Design
title_full_unstemmed Geometrically Calibrated Network Models for Progressive Cavity Pump Design
title_short Geometrically Calibrated Network Models for Progressive Cavity Pump Design
title_sort geometrically calibrated network models for progressive cavity pump design
url https://hdl.handle.net/1721.1/129597
work_keys_str_mv AT simonkevin geometricallycalibratednetworkmodelsforprogressivecavitypumpdesign
AT slocumjralexanderh geometricallycalibratednetworkmodelsforprogressivecavitypumpdesign