Proceso implementado por inteligencia artificial para la detección de petróleo
La solución pretendida, resuelve el problema planteado al aportar un método que comprende el uso de una inteligencia artificial (IA) en conjunto con un dispositivo de espectroscopía láser portátil como un láser de cascada cuántica que permita realizar análisis in situ. The present invention disclose...
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| creator | VILLARREAL GONZÁLEZ, REYNALDO PESTANA NOBLES, JUAN PABLO HERNANDEZ RIVERA, SAMUEL PACHECO LONDOÑO, Leonardo Carlos GALÁN FREYLE, Nataly |
| description | La solución pretendida, resuelve el problema planteado al aportar un método que comprende el uso de una inteligencia artificial (IA) en conjunto con un dispositivo de espectroscopía láser portátil como un láser de cascada cuántica que permita realizar análisis in situ.
The present invention discloses a method for predicting a percentage of oil that comprises collecting spectra from the soil by means of infrared spectroscopy; standardising the signals; reducing the information by analysing the principal components; analysing the components by means of a support vector machine (SVM) learning model; merging the spectral data with the information obtained from the SVM model; processing the resulting information by means of a machine learning model based on the method of partial least squares combined with discriminant analysis; and predicting the percentage of oil present in the analysed array using a multilayer neural network. |
| format | Patent |
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The present invention discloses a method for predicting a percentage of oil that comprises collecting spectra from the soil by means of infrared spectroscopy; standardising the signals; reducing the information by analysing the principal components; analysing the components by means of a support vector machine (SVM) learning model; merging the spectral data with the information obtained from the SVM model; processing the resulting information by means of a machine learning model based on the method of partial least squares combined with discriminant analysis; and predicting the percentage of oil present in the analysed array using a multilayer neural network.</description><language>spa</language><subject>BEER ; BIOCHEMISTRY ; CALCULATING ; CHEMISTRY ; COMPOSITIONS OR TEST PAPERS THEREFOR ; COMPUTING ; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL ORENZYMOLOGICAL PROCESSES ; COUNTING ; DETECTING MASSES OR OBJECTS ; ELECTRIC DIGITAL DATA PROCESSING ; ENZYMOLOGY ; GEOPHYSICS ; GRAVITATIONAL MEASUREMENTS ; MEASURING ; MEASURING ELECTRIC VARIABLES ; MEASURING MAGNETIC VARIABLES ; MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEICACIDS OR MICROORGANISMS ; METALLURGY ; MICROBIOLOGY ; MUTATION OR GENETIC ENGINEERING ; PHYSICS ; PROCESSES OF PREPARING SUCH COMPOSITIONS ; SPIRITS ; TESTING ; VINEGAR ; WINE</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&date=20240226&DB=EPODOC&CC=CO&NR=2022011609A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240226&DB=EPODOC&CC=CO&NR=2022011609A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>VILLARREAL GONZÁLEZ, REYNALDO</creatorcontrib><creatorcontrib>PESTANA NOBLES, JUAN PABLO</creatorcontrib><creatorcontrib>HERNANDEZ RIVERA, SAMUEL</creatorcontrib><creatorcontrib>PACHECO LONDOÑO, Leonardo Carlos</creatorcontrib><creatorcontrib>GALÁN FREYLE, Nataly</creatorcontrib><title>Proceso implementado por inteligencia artificial para la detección de petróleo</title><description>La solución pretendida, resuelve el problema planteado al aportar un método que comprende el uso de una inteligencia artificial (IA) en conjunto con un dispositivo de espectroscopía láser portátil como un láser de cascada cuántica que permita realizar análisis in situ.
The present invention discloses a method for predicting a percentage of oil that comprises collecting spectra from the soil by means of infrared spectroscopy; standardising the signals; reducing the information by analysing the principal components; analysing the components by means of a support vector machine (SVM) learning model; merging the spectral data with the information obtained from the SVM model; processing the resulting information by means of a machine learning model based on the method of partial least squares combined with discriminant analysis; and predicting the percentage of oil present in the analysed array using a multilayer neural network.</description><subject>BEER</subject><subject>BIOCHEMISTRY</subject><subject>CALCULATING</subject><subject>CHEMISTRY</subject><subject>COMPOSITIONS OR TEST PAPERS THEREFOR</subject><subject>COMPUTING</subject><subject>CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL ORENZYMOLOGICAL PROCESSES</subject><subject>COUNTING</subject><subject>DETECTING MASSES OR OBJECTS</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>ENZYMOLOGY</subject><subject>GEOPHYSICS</subject><subject>GRAVITATIONAL MEASUREMENTS</subject><subject>MEASURING</subject><subject>MEASURING ELECTRIC VARIABLES</subject><subject>MEASURING MAGNETIC VARIABLES</subject><subject>MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEICACIDS OR MICROORGANISMS</subject><subject>METALLURGY</subject><subject>MICROBIOLOGY</subject><subject>MUTATION OR GENETIC ENGINEERING</subject><subject>PHYSICS</subject><subject>PROCESSES OF PREPARING SUCH COMPOSITIONS</subject><subject>SPIRITS</subject><subject>TESTING</subject><subject>VINEGAR</subject><subject>WINE</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyjEKwjAUh_EuDqLe4YGzkEQQHKUobnZwL4_0X3mQ5oUkN-sRejE7eACn7zd826brsnoUJZlSwIRYeVBKmkliRZAPohcmzlVGWRUocWYKTAMqvJdljispoeZlDtB9sxk5FBx-3TXHx_3dPk9I2qMk9oiofftyxjlj7cVcb_b83_UFJig5nA</recordid><startdate>20240226</startdate><enddate>20240226</enddate><creator>VILLARREAL GONZÁLEZ, REYNALDO</creator><creator>PESTANA NOBLES, JUAN PABLO</creator><creator>HERNANDEZ RIVERA, SAMUEL</creator><creator>PACHECO LONDOÑO, Leonardo Carlos</creator><creator>GALÁN FREYLE, Nataly</creator><scope>EVB</scope></search><sort><creationdate>20240226</creationdate><title>Proceso implementado por inteligencia artificial para la detección de petróleo</title><author>VILLARREAL GONZÁLEZ, REYNALDO ; PESTANA NOBLES, JUAN PABLO ; HERNANDEZ RIVERA, SAMUEL ; PACHECO LONDOÑO, Leonardo Carlos ; GALÁN FREYLE, Nataly</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CO2022011609A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>spa</language><creationdate>2024</creationdate><topic>BEER</topic><topic>BIOCHEMISTRY</topic><topic>CALCULATING</topic><topic>CHEMISTRY</topic><topic>COMPOSITIONS OR TEST PAPERS THEREFOR</topic><topic>COMPUTING</topic><topic>CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL ORENZYMOLOGICAL PROCESSES</topic><topic>COUNTING</topic><topic>DETECTING MASSES OR OBJECTS</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>ENZYMOLOGY</topic><topic>GEOPHYSICS</topic><topic>GRAVITATIONAL MEASUREMENTS</topic><topic>MEASURING</topic><topic>MEASURING ELECTRIC VARIABLES</topic><topic>MEASURING MAGNETIC VARIABLES</topic><topic>MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEICACIDS OR MICROORGANISMS</topic><topic>METALLURGY</topic><topic>MICROBIOLOGY</topic><topic>MUTATION OR GENETIC ENGINEERING</topic><topic>PHYSICS</topic><topic>PROCESSES OF PREPARING SUCH COMPOSITIONS</topic><topic>SPIRITS</topic><topic>TESTING</topic><topic>VINEGAR</topic><topic>WINE</topic><toplevel>online_resources</toplevel><creatorcontrib>VILLARREAL GONZÁLEZ, REYNALDO</creatorcontrib><creatorcontrib>PESTANA NOBLES, JUAN PABLO</creatorcontrib><creatorcontrib>HERNANDEZ RIVERA, SAMUEL</creatorcontrib><creatorcontrib>PACHECO LONDOÑO, Leonardo Carlos</creatorcontrib><creatorcontrib>GALÁN FREYLE, Nataly</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>VILLARREAL GONZÁLEZ, REYNALDO</au><au>PESTANA NOBLES, JUAN PABLO</au><au>HERNANDEZ RIVERA, SAMUEL</au><au>PACHECO LONDOÑO, Leonardo Carlos</au><au>GALÁN FREYLE, Nataly</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Proceso implementado por inteligencia artificial para la detección de petróleo</title><date>2024-02-26</date><risdate>2024</risdate><abstract>La solución pretendida, resuelve el problema planteado al aportar un método que comprende el uso de una inteligencia artificial (IA) en conjunto con un dispositivo de espectroscopía láser portátil como un láser de cascada cuántica que permita realizar análisis in situ.
The present invention discloses a method for predicting a percentage of oil that comprises collecting spectra from the soil by means of infrared spectroscopy; standardising the signals; reducing the information by analysing the principal components; analysing the components by means of a support vector machine (SVM) learning model; merging the spectral data with the information obtained from the SVM model; processing the resulting information by means of a machine learning model based on the method of partial least squares combined with discriminant analysis; and predicting the percentage of oil present in the analysed array using a multilayer neural network.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | BEER BIOCHEMISTRY CALCULATING CHEMISTRY COMPOSITIONS OR TEST PAPERS THEREFOR COMPUTING CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL ORENZYMOLOGICAL PROCESSES COUNTING DETECTING MASSES OR OBJECTS ELECTRIC DIGITAL DATA PROCESSING ENZYMOLOGY GEOPHYSICS GRAVITATIONAL MEASUREMENTS MEASURING MEASURING ELECTRIC VARIABLES MEASURING MAGNETIC VARIABLES MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEICACIDS OR MICROORGANISMS METALLURGY MICROBIOLOGY MUTATION OR GENETIC ENGINEERING PHYSICS PROCESSES OF PREPARING SUCH COMPOSITIONS SPIRITS TESTING VINEGAR WINE |
| title | Proceso implementado por inteligencia artificial para la detección de petróleo |
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