<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-21T08:29:05Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/119290" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/119290</identifier><datestamp>2026-06-17T14:45:42Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131022</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Choon S. Tan.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Mannai, Sébastien (Sébastien Karim)</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Aeronautics and Astronautics.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Aeronautics and Astronautics</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2018-11-28T15:41:39Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2018-11-28T15:41:39Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2018</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2018</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/119290</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1061505669</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: Ph. D., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2018.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 120-122).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Oil extraction on many reservoirs requires the use of rod pump systems to pump the fluid to the surface. A longstanding challenging issue in the operation of rod-pump system is the ability to determine the downhole pump conditions based on the knowledge of a finite set of measurables at the top. A novel acoustic-based diagnostic method is put forward as an enabler for determining the downhole conditions. It consists of reconstructing the pressure signal generated by the pump from an acoustic measurement made at the top. Knowing that the operating pump radiates pressure waves in the fluid, the pump operation can thus be monitored. The physical basis of this acoustic method is demonstrated using results from a model of the rod-pump system complemented by field data measured from representative operating oil wells. The rod pump model has shown to be in good accord with available data. The unique feature differentiating the model formulation from the state of art is that each of the model attributes is linked to the physical process that set the pump operation. The wave equations in the rod string and in the tubing are solved using a custom numerical scheme, and the coupling between the rod and the fluid surrounding it is taken into account. The field measurements and the model results are in accord as they prove the hypothesis that a surface measured pressure can be used to determine the downhole condition of the well. Likewise both the field measurements and the model results provide the physical basis for formulating the scaling rule for generic rod pump system which is used in turn to design a scaled down experimental setup. Specifically, the effect of gas on the pump acoustic signature has been characterized and this general scaling allow one to compare different wells to one another and to obtain a universal scaling parameter to measure the amount of gas in wells pumps. The anticipated technological impact on oil production infrastructure is an acoustic diagnostic framework for assessing a broad class of wells operation, from vertical to horizontal oil wells.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Sébastien Karim Mannaï.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">Ph.D.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">122 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Aeronautics and Astronautics.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">A novel framework for acoustic diagnostic of artificial lift system for oil-production</dim:field>
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   	&lt;Title>A novel framework for acoustic diagnostic of artificial lift system for oil-production&lt;/Title>
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   	&lt;PublicationDate>2018&lt;/PublicationDate>
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        	&lt;DisplayName>Mannai, Sébastien (Sébastien Karim)&lt;/DisplayName>
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            &lt;DisplayName>Massachusetts Institute of Technology&lt;/DisplayName>
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    &lt;Keyword>Aeronautics and Astronautics.&lt;/Keyword>
   	&lt;Abstract>Oil extraction on many reservoirs requires the use of rod pump systems to pump the fluid to the surface. A longstanding challenging issue in the operation of rod-pump system is the ability to determine the downhole pump conditions based on the knowledge of a finite set of measurables at the top. A novel acoustic-based diagnostic method is put forward as an enabler for determining the downhole conditions. It consists of reconstructing the pressure signal generated by the pump from an acoustic measurement made at the top. Knowing that the operating pump radiates pressure waves in the fluid, the pump operation can thus be monitored. The physical basis of this acoustic method is demonstrated using results from a model of the rod-pump system complemented by field data measured from representative operating oil wells. The rod pump model has shown to be in good accord with available data. The unique feature differentiating the model formulation from the state of art is that each of the model attributes is linked to the physical process that set the pump operation. The wave equations in the rod string and in the tubing are solved using a custom numerical scheme, and the coupling between the rod and the fluid surrounding it is taken into account. The field measurements and the model results are in accord as they prove the hypothesis that a surface measured pressure can be used to determine the downhole condition of the well. Likewise both the field measurements and the model results provide the physical basis for formulating the scaling rule for generic rod pump system which is used in turn to design a scaled down experimental setup. Specifically, the effect of gas on the pump acoustic signature has been characterized and this general scaling allow one to compare different wells to one another and to obtain a universal scaling parameter to measure the amount of gas in wells pumps. The anticipated technological impact on oil production infrastructure is an acoustic diagnostic framework for assessing a broad class of wells operation, from vertical to horizontal oil wells.&lt;/Abstract>
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