https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Rao_Basha_2018aRao Basha 2018a - Revision history2026-04-18T11:41:17ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Rao_Basha_2018a&diff=211087&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 193926400 to Rao Basha 2018a2021-02-12T11:34:51Z<p>Scipediacontent moved page <a href="/public/Draft_Content_193926400" class="mw-redirect" title="Draft Content 193926400">Draft Content 193926400</a> to <a href="/public/Rao_Basha_2018a" title="Rao Basha 2018a">Rao Basha 2018a</a></p>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Rao_Basha_2018a&diff=211086&oldid=prevScipediacontent: Created page with " == Abstract == Pipelines are considered safest mode of transport because of their limited number of facilities. It is therefore very important to monitor and optimize their..."2021-02-12T11:34:48Z<p>Created page with " == Abstract == Pipelines are considered safest mode of transport because of their limited number of facilities. It is therefore very important to monitor and optimize their..."</p>
<p><b>New page</b></p><div><br />
== Abstract ==<br />
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Pipelines are considered safest mode of transport because of their limited number of facilities. It is therefore very important to monitor and optimize their operation and reduce their facilities to acceptable limits. Hence, it is an immediate requirement to assess and predict condition of existing oil and gas pipelines and to prioritize the planning of their inspection on a timely basis. Therefore, this study presents the development of models based on specific factors, that can predict the condition of onshore oil and gas pipelines. The model was developed using BPN (Back Propagation Network) techniques based on historical inspection data collected from the oil and gas fields. The model is expected to help pipeline operators to assess the condition of existing oil and gas pipelines and hence prioritize their inspection and rehabilitation operations.<br />
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Document type: Article<br />
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== Full document ==<br />
<pdf>Media:Draft_Content_193926400-beopen22-6085-document.pdf</pdf><br />
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== Original document ==<br />
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The different versions of the original document can be found in:<br />
<br />
* [https://www.matec-conferences.org/articles/matecconf/pdf/2018/84/matecconf_ses2018_06003.pdf https://www.matec-conferences.org/articles/matecconf/pdf/2018/84/matecconf_ses2018_06003.pdf] under the license https://creativecommons.org/licenses/by<br />
<br />
* [https://doi.org/10.1051/matecconf/201822506003 https://doi.org/10.1051/matecconf/201822506003],<br />
: [https://doaj.org/toc/2261-236X https://doaj.org/toc/2261-236X] under the license cc-by<br />
<br />
* [https://www.matec-conferences.org/10.1051/matecconf/201822506003/pdf https://www.matec-conferences.org/10.1051/matecconf/201822506003/pdf],<br />
: [http://dx.doi.org/10.1051/matecconf/201822506003 http://dx.doi.org/10.1051/matecconf/201822506003]<br />
<br />
* [https://www.matec-conferences.org/10.1051/matecconf/201822506003/pdf https://www.matec-conferences.org/10.1051/matecconf/201822506003/pdf],<br />
: [https://academic.microsoft.com/#/detail/2900007932 https://academic.microsoft.com/#/detail/2900007932] under the license http://creativecommons.org/licenses/by/4.0</div>Scipediacontent