MACHINE LOGIC MULTI-PHASE METERING USING DISTRIBUTED ACOUSTIC SENSING DATA

A method for predicting fluid fractions is provided. The method includes building, from pressure, temperature, a fluid speed parameter, speed of sound, and fluid fractions of a first fluid flow, a machine learning model programmed to estimate fluid fractions of a fluid flow as a function of at least...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: JIN, Ge, TIWARI, Upendra K, MA, Nan, ROY, Baishali
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator JIN, Ge
TIWARI, Upendra K
MA, Nan
ROY, Baishali
description A method for predicting fluid fractions is provided. The method includes building, from pressure, temperature, a fluid speed parameter, speed of sound, and fluid fractions of a first fluid flow, a machine learning model programmed to estimate fluid fractions of a fluid flow as a function of at least one Distributed Acoustic Sensing ("DAS") fluid flow parameter and at least one physical characteristic of the fluid flow; receiving at least one DAS fluid flow parameter and the at least one physical characteristic of a second fluid flow; and determining, using the machine learning model, fluid fractions of the second fluid flow from at least the at least one DAS fluid flow parameter for the second fluid flow and the at least one physical characteristic of the second fluid flow.
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_EP4430279A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>EP4430279A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_EP4430279A13</originalsourceid><addsrcrecordid>eNrjZPDydXT28PRzVfDxd_d0VvAN9Qnx1A3wcAx2VfB1DXEN8vRzVwgNBpEunsEhQZ5OoSGuLgqOzv6hwSFA9cGufhBJxxBHHgbWtMSc4lReKM3NoODmGuLsoZtakB-fWlyQmJyal1oS7xpgYmJsYGRu6WhoTIQSAAvzLQ8</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>MACHINE LOGIC MULTI-PHASE METERING USING DISTRIBUTED ACOUSTIC SENSING DATA</title><source>esp@cenet</source><creator>JIN, Ge ; TIWARI, Upendra K ; MA, Nan ; ROY, Baishali</creator><creatorcontrib>JIN, Ge ; TIWARI, Upendra K ; MA, Nan ; ROY, Baishali</creatorcontrib><description>A method for predicting fluid fractions is provided. The method includes building, from pressure, temperature, a fluid speed parameter, speed of sound, and fluid fractions of a first fluid flow, a machine learning model programmed to estimate fluid fractions of a fluid flow as a function of at least one Distributed Acoustic Sensing ("DAS") fluid flow parameter and at least one physical characteristic of the fluid flow; receiving at least one DAS fluid flow parameter and the at least one physical characteristic of a second fluid flow; and determining, using the machine learning model, fluid fractions of the second fluid flow from at least the at least one DAS fluid flow parameter for the second fluid flow and the at least one physical characteristic of the second fluid flow.</description><language>eng ; fre ; ger</language><subject>EARTH DRILLING ; EARTH DRILLING, e.g. DEEP DRILLING ; FIXED CONSTRUCTIONS ; MEASURING ; MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUIDLEVEL ; METERING BY VOLUME ; MINING ; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR ASLURRY OF MINERALS FROM WELLS ; PHYSICS ; TESTING</subject><creationdate>2024</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&amp;date=20240918&amp;DB=EPODOC&amp;CC=EP&amp;NR=4430279A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,309,781,886,25568,76551</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20240918&amp;DB=EPODOC&amp;CC=EP&amp;NR=4430279A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>JIN, Ge</creatorcontrib><creatorcontrib>TIWARI, Upendra K</creatorcontrib><creatorcontrib>MA, Nan</creatorcontrib><creatorcontrib>ROY, Baishali</creatorcontrib><title>MACHINE LOGIC MULTI-PHASE METERING USING DISTRIBUTED ACOUSTIC SENSING DATA</title><description>A method for predicting fluid fractions is provided. The method includes building, from pressure, temperature, a fluid speed parameter, speed of sound, and fluid fractions of a first fluid flow, a machine learning model programmed to estimate fluid fractions of a fluid flow as a function of at least one Distributed Acoustic Sensing ("DAS") fluid flow parameter and at least one physical characteristic of the fluid flow; receiving at least one DAS fluid flow parameter and the at least one physical characteristic of a second fluid flow; and determining, using the machine learning model, fluid fractions of the second fluid flow from at least the at least one DAS fluid flow parameter for the second fluid flow and the at least one physical characteristic of the second fluid flow.</description><subject>EARTH DRILLING</subject><subject>EARTH DRILLING, e.g. DEEP DRILLING</subject><subject>FIXED CONSTRUCTIONS</subject><subject>MEASURING</subject><subject>MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUIDLEVEL</subject><subject>METERING BY VOLUME</subject><subject>MINING</subject><subject>OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR ASLURRY OF MINERALS FROM WELLS</subject><subject>PHYSICS</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPDydXT28PRzVfDxd_d0VvAN9Qnx1A3wcAx2VfB1DXEN8vRzVwgNBpEunsEhQZ5OoSGuLgqOzv6hwSFA9cGufhBJxxBHHgbWtMSc4lReKM3NoODmGuLsoZtakB-fWlyQmJyal1oS7xpgYmJsYGRu6WhoTIQSAAvzLQ8</recordid><startdate>20240918</startdate><enddate>20240918</enddate><creator>JIN, Ge</creator><creator>TIWARI, Upendra K</creator><creator>MA, Nan</creator><creator>ROY, Baishali</creator><scope>EVB</scope></search><sort><creationdate>20240918</creationdate><title>MACHINE LOGIC MULTI-PHASE METERING USING DISTRIBUTED ACOUSTIC SENSING DATA</title><author>JIN, Ge ; TIWARI, Upendra K ; MA, Nan ; ROY, Baishali</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_EP4430279A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre ; ger</language><creationdate>2024</creationdate><topic>EARTH DRILLING</topic><topic>EARTH DRILLING, e.g. DEEP DRILLING</topic><topic>FIXED CONSTRUCTIONS</topic><topic>MEASURING</topic><topic>MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUIDLEVEL</topic><topic>METERING BY VOLUME</topic><topic>MINING</topic><topic>OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR ASLURRY OF MINERALS FROM WELLS</topic><topic>PHYSICS</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>JIN, Ge</creatorcontrib><creatorcontrib>TIWARI, Upendra K</creatorcontrib><creatorcontrib>MA, Nan</creatorcontrib><creatorcontrib>ROY, Baishali</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>JIN, Ge</au><au>TIWARI, Upendra K</au><au>MA, Nan</au><au>ROY, Baishali</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>MACHINE LOGIC MULTI-PHASE METERING USING DISTRIBUTED ACOUSTIC SENSING DATA</title><date>2024-09-18</date><risdate>2024</risdate><abstract>A method for predicting fluid fractions is provided. The method includes building, from pressure, temperature, a fluid speed parameter, speed of sound, and fluid fractions of a first fluid flow, a machine learning model programmed to estimate fluid fractions of a fluid flow as a function of at least one Distributed Acoustic Sensing ("DAS") fluid flow parameter and at least one physical characteristic of the fluid flow; receiving at least one DAS fluid flow parameter and the at least one physical characteristic of a second fluid flow; and determining, using the machine learning model, fluid fractions of the second fluid flow from at least the at least one DAS fluid flow parameter for the second fluid flow and the at least one physical characteristic of the second fluid flow.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng ; fre ; ger
recordid cdi_epo_espacenet_EP4430279A1
source esp@cenet
subjects EARTH DRILLING
EARTH DRILLING, e.g. DEEP DRILLING
FIXED CONSTRUCTIONS
MEASURING
MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUIDLEVEL
METERING BY VOLUME
MINING
OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR ASLURRY OF MINERALS FROM WELLS
PHYSICS
TESTING
title MACHINE LOGIC MULTI-PHASE METERING USING DISTRIBUTED ACOUSTIC SENSING DATA
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-16T22%3A44%3A47IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=JIN,%20Ge&rft.date=2024-09-18&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EEP4430279A1%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true