Geometrically Calibrated Network Models for Progressive Cavity Pump Design
Name
PaperSubmission.pdf
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2.89 MB
Format
Adobe PDF
Checksum (MD5)
072ef3af9d6733c0c7d02c43ca401891
Author(s)
Simon, Kevin
Slocum Jr., Alexander H
Date Issued
December 2020
Journal
SPE Journal
Publisher
Society of Petroleum Engineers (SPE)
Citation
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
Version
Author's final manuscript
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.2118/204465-pa
