<?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>2026-09-20T10:59:52Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/58060" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/58060</identifier><datestamp>2024-05-15T07:29:11Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</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">M. Nafi Toksöz.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Chen, Wei</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Earth, Atmospheric, and Planetary Sciences.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2010-09-01T16:20:26Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2010-09-01T16:20:26Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">1999</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">1999</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/58060</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">45048061</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Earth, Atmospheric, and Planetary Sciences, 1999.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (leaves 41-45).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">The estimation of formation permeability from full waveform acoustic and nuclear magnetic resonance (NMR) logs in petroleum well logging has improved significantly in recent years. In this thesis, we review the methods of permeability estimation from Stoneley waves and provide permeability comparisons between acoustic and NMR logs. When a Stoneley wave travels along a permeable formation, hydraulic exchange between the Stoneley wave and formation will occur. As a result, Stoneley wave travel time will be delayed and the Stoneley wave attenuation will increase, causing a centroid frequency shift. Therefore, these two wave attributes can be used to estimate formation permeability. NMR logging data can also be used to estimate permeability. Permeability estimates using Stoneley waves and NMR logging were tested using data from a section consisting of sandstone and shale beds. The permeability results show very good correlation for these two different methods. Data from a gas zone that is analyzed shows high permeability values from acoustic data and low values from NMR. The difference between these two permeability results can be used as a gas zone indicator.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Wei Chen.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">45 leaves</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">M.I.T. theses are protected by &#xd;
copyright. They may be viewed from this source for any purpose, but &#xd;
reproduction or distribution in any format is prohibited without written &#xd;
permission. See provided URL for inquiries about 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">Earth, Atmospheric, and Planetary Sciences.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">In-situ permeability estimation : a comparison between acoustic and NMR logs</dim:field>
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   	&lt;Title>In-situ permeability estimation : a comparison between acoustic and NMR logs&lt;/Title>
   	&lt;Subtitle>In-situ permeability estimation : a comparison between acoustic and nuclear magnetic resonance logs&lt;/Subtitle>
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   	&lt;PublicationDate>1999&lt;/PublicationDate>
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    &lt;Keyword>Earth, Atmospheric, and Planetary Sciences.&lt;/Keyword>
   	&lt;Abstract>The estimation of formation permeability from full waveform acoustic and nuclear magnetic resonance (NMR) logs in petroleum well logging has improved significantly in recent years. In this thesis, we review the methods of permeability estimation from Stoneley waves and provide permeability comparisons between acoustic and NMR logs. When a Stoneley wave travels along a permeable formation, hydraulic exchange between the Stoneley wave and formation will occur. As a result, Stoneley wave travel time will be delayed and the Stoneley wave attenuation will increase, causing a centroid frequency shift. Therefore, these two wave attributes can be used to estimate formation permeability. NMR logging data can also be used to estimate permeability. Permeability estimates using Stoneley waves and NMR logging were tested using data from a section consisting of sandstone and shale beds. The permeability results show very good correlation for these two different methods. Data from a gas zone that is analyzed shows high permeability values from acoustic data and low values from NMR. The difference between these two permeability results can be used as a gas zone indicator.&lt;/Abstract>
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