Drilling leakage rate prediction method and system based on geological and engineering parameters
The invention provides a drilling leakage rate prediction method and system based on geological and engineering parameters, and belongs to the field of petroleum and natural gas exploration and development drilling. The method comprises the following steps: step 1, acquiring parameters influencing a...
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| creator | CHEN ZENGWEI SONG BITAO LI DAQI LIM YOUNG-HAK JIN JUNBIN LI FAN LIU JINHUA |
| description | The invention provides a drilling leakage rate prediction method and system based on geological and engineering parameters, and belongs to the field of petroleum and natural gas exploration and development drilling. The method comprises the following steps: step 1, acquiring parameters influencing an underground leakage rate, and acquiring a well drilling leakage rate; 2, the parameters influencing the downhole leakage rate are processed, and processed parameters are obtained; step 3, establishing a neural network; 4, training and verifying a neural network by using the processed parameters and the drilling leakage rate to obtain a drilling leakage rate prediction model; and 5, predicting the to-be-predicted drilling well by using the leakage rate prediction model to obtain the drilling leakage rate of the to-be-predicted drilling well. By utilizing the method, artificial intelligence prediction of the drilling leakage rate based on geological and engineering parameters is realized, the problem that the drill |
| format | Patent |
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The method comprises the following steps: step 1, acquiring parameters influencing an underground leakage rate, and acquiring a well drilling leakage rate; 2, the parameters influencing the downhole leakage rate are processed, and processed parameters are obtained; step 3, establishing a neural network; 4, training and verifying a neural network by using the processed parameters and the drilling leakage rate to obtain a drilling leakage rate prediction model; and 5, predicting the to-be-predicted drilling well by using the leakage rate prediction model to obtain the drilling leakage rate of the to-be-predicted drilling well. By utilizing the method, artificial intelligence prediction of the drilling leakage rate based on geological and engineering parameters is realized, the problem that the drill</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; 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 ; PHYSICS</subject><creationdate>2022</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=20220809&DB=EPODOC&CC=CN&NR=114876451A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220809&DB=EPODOC&CC=CN&NR=114876451A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>CHEN ZENGWEI</creatorcontrib><creatorcontrib>SONG BITAO</creatorcontrib><creatorcontrib>LI DAQI</creatorcontrib><creatorcontrib>LIM YOUNG-HAK</creatorcontrib><creatorcontrib>JIN JUNBIN</creatorcontrib><creatorcontrib>LI FAN</creatorcontrib><creatorcontrib>LIU JINHUA</creatorcontrib><title>Drilling leakage rate prediction method and system based on geological and engineering parameters</title><description>The invention provides a drilling leakage rate prediction method and system based on geological and engineering parameters, and belongs to the field of petroleum and natural gas exploration and development drilling. The method comprises the following steps: step 1, acquiring parameters influencing an underground leakage rate, and acquiring a well drilling leakage rate; 2, the parameters influencing the downhole leakage rate are processed, and processed parameters are obtained; step 3, establishing a neural network; 4, training and verifying a neural network by using the processed parameters and the drilling leakage rate to obtain a drilling leakage rate prediction model; and 5, predicting the to-be-predicted drilling well by using the leakage rate prediction model to obtain the drilling leakage rate of the to-be-predicted drilling well. 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The method comprises the following steps: step 1, acquiring parameters influencing an underground leakage rate, and acquiring a well drilling leakage rate; 2, the parameters influencing the downhole leakage rate are processed, and processed parameters are obtained; step 3, establishing a neural network; 4, training and verifying a neural network by using the processed parameters and the drilling leakage rate to obtain a drilling leakage rate prediction model; and 5, predicting the to-be-predicted drilling well by using the leakage rate prediction model to obtain the drilling leakage rate of the to-be-predicted drilling well. By utilizing the method, artificial intelligence prediction of the drilling leakage rate based on geological and engineering parameters is realized, the problem that the drill</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING 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 PHYSICS |
| title | Drilling leakage rate prediction method and system based on geological and engineering parameters |
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