Early warning and automated detection for lost circulation in wellbore drilling
A wellbore drilling system to generate a machine-learning model trained using historic drilling operation data for monitoring for a lost circulation event 302, receive real-time data associated with a drilling operation 304, apply the machine-learning model can to the real-time data to identify a lo...
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creator | Shashwat Verma Samiran Roy Sridharan Vallabhaneni Rune Hobberstad |
description | A wellbore drilling system to generate a machine-learning model trained using historic drilling operation data for monitoring for a lost circulation event 302, receive real-time data associated with a drilling operation 304, apply the machine-learning model can to the real-time data to identify a lost circulation event that is occurring 306 and output an alarm to indicate a lost circulation event is occurring for the drilling operation 308. |
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EARTH DRILLING, e.g. DEEP DRILLING ; FIXED CONSTRUCTIONS ; MINING ; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR ASLURRY OF MINERALS FROM WELLS</subject><creationdate>2021</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20211201&DB=EPODOC&CC=GB&NR=2595548A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20211201&DB=EPODOC&CC=GB&NR=2595548A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Shashwat Verma</creatorcontrib><creatorcontrib>Samiran Roy</creatorcontrib><creatorcontrib>Sridharan Vallabhaneni</creatorcontrib><creatorcontrib>Rune Hobberstad</creatorcontrib><title>Early warning and automated detection for lost circulation in wellbore drilling</title><description>A wellbore drilling system to generate a machine-learning model trained using historic drilling operation data for monitoring for a lost circulation event 302, receive real-time data associated with a drilling operation 304, apply the machine-learning model can to the real-time data to identify a lost circulation event that is occurring 306 and output an alarm to indicate a lost circulation event is occurring for the drilling operation 308.</description><subject>EARTH DRILLING</subject><subject>EARTH DRILLING, e.g. DEEP DRILLING</subject><subject>FIXED CONSTRUCTIONS</subject><subject>MINING</subject><subject>OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR ASLURRY OF MINERALS FROM WELLS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqFjLEKwkAMQLs4iPoN5gdc1AMdVapuLu4l3qXlICYll1L8e0XcnR48Hm9a3Wo0fsGIJlk6QEmAg-sTnRIkcoqeVaBVA9biELPFgfErs8BIzA81gmSZ-XOYV5MWudDix1m1PNf303VFvTZUeowk5M3luA77ELa7w-Z_8QaqbTaF</recordid><startdate>20211201</startdate><enddate>20211201</enddate><creator>Shashwat Verma</creator><creator>Samiran Roy</creator><creator>Sridharan Vallabhaneni</creator><creator>Rune Hobberstad</creator><scope>EVB</scope></search><sort><creationdate>20211201</creationdate><title>Early warning and automated detection for lost circulation in wellbore drilling</title><author>Shashwat Verma ; Samiran Roy ; Sridharan Vallabhaneni ; Rune Hobberstad</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_GB2595548A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2021</creationdate><topic>EARTH DRILLING</topic><topic>EARTH DRILLING, e.g. DEEP DRILLING</topic><topic>FIXED CONSTRUCTIONS</topic><topic>MINING</topic><topic>OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR ASLURRY OF MINERALS FROM WELLS</topic><toplevel>online_resources</toplevel><creatorcontrib>Shashwat Verma</creatorcontrib><creatorcontrib>Samiran Roy</creatorcontrib><creatorcontrib>Sridharan Vallabhaneni</creatorcontrib><creatorcontrib>Rune Hobberstad</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Shashwat Verma</au><au>Samiran Roy</au><au>Sridharan Vallabhaneni</au><au>Rune Hobberstad</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Early warning and automated detection for lost circulation in wellbore drilling</title><date>2021-12-01</date><risdate>2021</risdate><abstract>A wellbore drilling system to generate a machine-learning model trained using historic drilling operation data for monitoring for a lost circulation event 302, receive real-time data associated with a drilling operation 304, apply the machine-learning model can to the real-time data to identify a lost circulation event that is occurring 306 and output an alarm to indicate a lost circulation event is occurring for the drilling operation 308.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | EARTH DRILLING EARTH DRILLING, e.g. DEEP DRILLING FIXED CONSTRUCTIONS MINING OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR ASLURRY OF MINERALS FROM WELLS |
title | Early warning and automated detection for lost circulation in wellbore drilling |
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