Visualization of Gas-Oil-Water Flow in Horizontal Pipeline Using Dual-Modality Electrical Tomographic Systems
Employing dual-modality tomography inherently involves data from multiple dimensions, and thus a coherent approach is required to fully exploit the information from various dimensions. This paper describes a novel approach for dual-modality electrical resistance and capacitance tomography (ERT-ECT)...
Gespeichert in:
Veröffentlicht in: | IEEE sensors journal 2017-12, Vol.17 (24), p.8146-8156 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 8156 |
---|---|
container_issue | 24 |
container_start_page | 8146 |
container_title | IEEE sensors journal |
container_volume | 17 |
creator | Wang, Qiang Wang, Mi Wei, Kent Qiu, Changhua |
description | Employing dual-modality tomography inherently involves data from multiple dimensions, and thus a coherent approach is required to fully exploit the information from various dimensions. This paper describes a novel approach for dual-modality electrical resistance and capacitance tomography (ERT-ECT) to visualize gas-oil-water flow in horizontal pipeline. Compared with the conventional methods with dual-modality tomographic systems, the approach based on thresholding takes the account of multi-dimensional data, which therefore is capable of providing insights into investigated flow in both spatial and temporal terms. The experimental results demonstrate the feasibility of the approach, by which six common flow regimes in horizontal pipeline flow are visualized based on the multi-dimensional data with ERT-ECT systems, including (wavy) stratified flow, plug flow, slug flow, annular flow, and bubbly flow. Although the present approach is proposed for data acquired with an ERT-ECT system, it is potentially adaptable to other dual-modality tomographic systems that use concentration tomograms as inputs. |
doi_str_mv | 10.1109/JSEN.2017.2714686 |
format | Article |
fullrecord | <record><control><sourceid>crossref_ieee_</sourceid><recordid>TN_cdi_crossref_primary_10_1109_JSEN_2017_2714686</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>7946169</ieee_id><sourcerecordid>10_1109_JSEN_2017_2714686</sourcerecordid><originalsourceid>FETCH-LOGICAL-c356t-cec54bfb187d26f89688ce29dbd9e11a9afb3380bf64a16440d166a7d88024b3</originalsourceid><addsrcrecordid>eNo9kMtOwzAURC0EEqXwAYiNf8DFN3H8WKJSWlChSC2PXeQ4TjFK48oOQu3Xk6gVq5nFnFkchK6BjgCoun1aTl5GCQUxSgQwLvkJGkCWSQKCydO-p5SwVHyeo4sYvykFJTIxQJt3F3907fa6db7BvsJTHcnC1eRDtzbgh9r_YtfgmQ9u75tW1_jVbW3tGovfomvW-L7DybMvu5N2hye1NW1wptut_Mavg95-OYOXu9jaTbxEZ5Wuo7065hCtHiar8YzMF9PH8d2cmDTjLTHWZKyoCpCiTHglFZfS2ESVRaksgFa6KtJU0qLiTANnjJbAuRallDRhRTpEcLg1wccYbJVvg9vosMuB5r2uvNeV97ryo66OuTkwzlr7vxeKceAq_QNUZ2jC</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Visualization of Gas-Oil-Water Flow in Horizontal Pipeline Using Dual-Modality Electrical Tomographic Systems</title><source>IEEE Electronic Library (IEL)</source><creator>Wang, Qiang ; Wang, Mi ; Wei, Kent ; Qiu, Changhua</creator><creatorcontrib>Wang, Qiang ; Wang, Mi ; Wei, Kent ; Qiu, Changhua</creatorcontrib><description>Employing dual-modality tomography inherently involves data from multiple dimensions, and thus a coherent approach is required to fully exploit the information from various dimensions. This paper describes a novel approach for dual-modality electrical resistance and capacitance tomography (ERT-ECT) to visualize gas-oil-water flow in horizontal pipeline. Compared with the conventional methods with dual-modality tomographic systems, the approach based on thresholding takes the account of multi-dimensional data, which therefore is capable of providing insights into investigated flow in both spatial and temporal terms. The experimental results demonstrate the feasibility of the approach, by which six common flow regimes in horizontal pipeline flow are visualized based on the multi-dimensional data with ERT-ECT systems, including (wavy) stratified flow, plug flow, slug flow, annular flow, and bubbly flow. Although the present approach is proposed for data acquired with an ERT-ECT system, it is potentially adaptable to other dual-modality tomographic systems that use concentration tomograms as inputs.</description><identifier>ISSN: 1530-437X</identifier><identifier>EISSN: 1558-1748</identifier><identifier>DOI: 10.1109/JSEN.2017.2714686</identifier><identifier>CODEN: ISJEAZ</identifier><language>eng</language><publisher>IEEE</publisher><subject>Conductivity ; Data integration ; Data visualization ; Dual-modality electrical tomography ; flow regimes visualization ; Image reconstruction ; multi-dimensional data fusion ; multiphase flow measurement and visualization ; Permittivity ; Pipelines ; Tomography</subject><ispartof>IEEE sensors journal, 2017-12, Vol.17 (24), p.8146-8156</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c356t-cec54bfb187d26f89688ce29dbd9e11a9afb3380bf64a16440d166a7d88024b3</citedby><cites>FETCH-LOGICAL-c356t-cec54bfb187d26f89688ce29dbd9e11a9afb3380bf64a16440d166a7d88024b3</cites><orcidid>0000-0002-1665-7408</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7946169$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids></links><search><creatorcontrib>Wang, Qiang</creatorcontrib><creatorcontrib>Wang, Mi</creatorcontrib><creatorcontrib>Wei, Kent</creatorcontrib><creatorcontrib>Qiu, Changhua</creatorcontrib><title>Visualization of Gas-Oil-Water Flow in Horizontal Pipeline Using Dual-Modality Electrical Tomographic Systems</title><title>IEEE sensors journal</title><addtitle>JSEN</addtitle><description>Employing dual-modality tomography inherently involves data from multiple dimensions, and thus a coherent approach is required to fully exploit the information from various dimensions. This paper describes a novel approach for dual-modality electrical resistance and capacitance tomography (ERT-ECT) to visualize gas-oil-water flow in horizontal pipeline. Compared with the conventional methods with dual-modality tomographic systems, the approach based on thresholding takes the account of multi-dimensional data, which therefore is capable of providing insights into investigated flow in both spatial and temporal terms. The experimental results demonstrate the feasibility of the approach, by which six common flow regimes in horizontal pipeline flow are visualized based on the multi-dimensional data with ERT-ECT systems, including (wavy) stratified flow, plug flow, slug flow, annular flow, and bubbly flow. Although the present approach is proposed for data acquired with an ERT-ECT system, it is potentially adaptable to other dual-modality tomographic systems that use concentration tomograms as inputs.</description><subject>Conductivity</subject><subject>Data integration</subject><subject>Data visualization</subject><subject>Dual-modality electrical tomography</subject><subject>flow regimes visualization</subject><subject>Image reconstruction</subject><subject>multi-dimensional data fusion</subject><subject>multiphase flow measurement and visualization</subject><subject>Permittivity</subject><subject>Pipelines</subject><subject>Tomography</subject><issn>1530-437X</issn><issn>1558-1748</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><recordid>eNo9kMtOwzAURC0EEqXwAYiNf8DFN3H8WKJSWlChSC2PXeQ4TjFK48oOQu3Xk6gVq5nFnFkchK6BjgCoun1aTl5GCQUxSgQwLvkJGkCWSQKCydO-p5SwVHyeo4sYvykFJTIxQJt3F3907fa6db7BvsJTHcnC1eRDtzbgh9r_YtfgmQ9u75tW1_jVbW3tGovfomvW-L7DybMvu5N2hye1NW1wptut_Mavg95-OYOXu9jaTbxEZ5Wuo7065hCtHiar8YzMF9PH8d2cmDTjLTHWZKyoCpCiTHglFZfS2ESVRaksgFa6KtJU0qLiTANnjJbAuRallDRhRTpEcLg1wccYbJVvg9vosMuB5r2uvNeV97ryo66OuTkwzlr7vxeKceAq_QNUZ2jC</recordid><startdate>20171215</startdate><enddate>20171215</enddate><creator>Wang, Qiang</creator><creator>Wang, Mi</creator><creator>Wei, Kent</creator><creator>Qiu, Changhua</creator><general>IEEE</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-1665-7408</orcidid></search><sort><creationdate>20171215</creationdate><title>Visualization of Gas-Oil-Water Flow in Horizontal Pipeline Using Dual-Modality Electrical Tomographic Systems</title><author>Wang, Qiang ; Wang, Mi ; Wei, Kent ; Qiu, Changhua</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c356t-cec54bfb187d26f89688ce29dbd9e11a9afb3380bf64a16440d166a7d88024b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Conductivity</topic><topic>Data integration</topic><topic>Data visualization</topic><topic>Dual-modality electrical tomography</topic><topic>flow regimes visualization</topic><topic>Image reconstruction</topic><topic>multi-dimensional data fusion</topic><topic>multiphase flow measurement and visualization</topic><topic>Permittivity</topic><topic>Pipelines</topic><topic>Tomography</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Qiang</creatorcontrib><creatorcontrib>Wang, Mi</creatorcontrib><creatorcontrib>Wei, Kent</creatorcontrib><creatorcontrib>Qiu, Changhua</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><jtitle>IEEE sensors journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Qiang</au><au>Wang, Mi</au><au>Wei, Kent</au><au>Qiu, Changhua</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Visualization of Gas-Oil-Water Flow in Horizontal Pipeline Using Dual-Modality Electrical Tomographic Systems</atitle><jtitle>IEEE sensors journal</jtitle><stitle>JSEN</stitle><date>2017-12-15</date><risdate>2017</risdate><volume>17</volume><issue>24</issue><spage>8146</spage><epage>8156</epage><pages>8146-8156</pages><issn>1530-437X</issn><eissn>1558-1748</eissn><coden>ISJEAZ</coden><abstract>Employing dual-modality tomography inherently involves data from multiple dimensions, and thus a coherent approach is required to fully exploit the information from various dimensions. This paper describes a novel approach for dual-modality electrical resistance and capacitance tomography (ERT-ECT) to visualize gas-oil-water flow in horizontal pipeline. Compared with the conventional methods with dual-modality tomographic systems, the approach based on thresholding takes the account of multi-dimensional data, which therefore is capable of providing insights into investigated flow in both spatial and temporal terms. The experimental results demonstrate the feasibility of the approach, by which six common flow regimes in horizontal pipeline flow are visualized based on the multi-dimensional data with ERT-ECT systems, including (wavy) stratified flow, plug flow, slug flow, annular flow, and bubbly flow. Although the present approach is proposed for data acquired with an ERT-ECT system, it is potentially adaptable to other dual-modality tomographic systems that use concentration tomograms as inputs.</abstract><pub>IEEE</pub><doi>10.1109/JSEN.2017.2714686</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-1665-7408</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1530-437X |
ispartof | IEEE sensors journal, 2017-12, Vol.17 (24), p.8146-8156 |
issn | 1530-437X 1558-1748 |
language | eng |
recordid | cdi_crossref_primary_10_1109_JSEN_2017_2714686 |
source | IEEE Electronic Library (IEL) |
subjects | Conductivity Data integration Data visualization Dual-modality electrical tomography flow regimes visualization Image reconstruction multi-dimensional data fusion multiphase flow measurement and visualization Permittivity Pipelines Tomography |
title | Visualization of Gas-Oil-Water Flow in Horizontal Pipeline Using Dual-Modality Electrical Tomographic Systems |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T18%3A03%3A33IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref_ieee_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Visualization%20of%20Gas-Oil-Water%20Flow%20in%20Horizontal%20Pipeline%20Using%20Dual-Modality%20Electrical%20Tomographic%20Systems&rft.jtitle=IEEE%20sensors%20journal&rft.au=Wang,%20Qiang&rft.date=2017-12-15&rft.volume=17&rft.issue=24&rft.spage=8146&rft.epage=8156&rft.pages=8146-8156&rft.issn=1530-437X&rft.eissn=1558-1748&rft.coden=ISJEAZ&rft_id=info:doi/10.1109/JSEN.2017.2714686&rft_dat=%3Ccrossref_ieee_%3E10_1109_JSEN_2017_2714686%3C/crossref_ieee_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=7946169&rfr_iscdi=true |