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1-16 of 16
Keywords: artificial intelligence
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Proceedings Papers
Paper presented at the SPE/AAPG/SEG Latin America Unconventional Resources Technology Conference, November 16–18, 2020
Paper Number: URTEC-2020-1102-MS
... fracturing materials complex reservoir artificial intelligence fracturing fluid separator produced water discharge unconventional resource development synergy optimization composition energy economics hydraulic fracturing upstream oil & gas urtec 1102 conventional reservoir...
Proceedings Papers
Paper presented at the SPE/AAPG/SEG Latin America Unconventional Resources Technology Conference, November 16–18, 2020
Paper Number: URTEC-2020-1064-MS
... pressure transient analysis reservoir surveillance drillstem testing drilling operation shale reservoir urtec 1064 production monitoring hydraulic fracturing directional drilling drillstem/well testing productivity reservoir characterization artificial intelligence complex reservoir...
Proceedings Papers
Paper presented at the SPE/AAPG/SEG Latin America Unconventional Resources Technology Conference, November 16–18, 2020
Paper Number: URTEC-2020-1353-MS
... reservoir artificial intelligence reservoir simulation machine learning hydraulic fracturing fracturing fluid well 3 optimization upstream oil & gas surface area urtec 1353 well 1 storage numerical simulation proxy model total surface area fracture geometry productivity hydraulic...
Proceedings Papers
Paper presented at the SPE/AAPG/SEG Latin America Unconventional Resources Technology Conference, November 16–18, 2020
Paper Number: URTEC-2020-1098-MS
... that combines topological data analysis (TDA) and physics-informed artificial intelligence (PhysAI) models to enable automated reserve estimation and reliable field optimal recommendations as new data becomes available. Due to the resilience and efficient nature of the approach, we can deliver a massive number...
Proceedings Papers
Paper presented at the SPE/AAPG/SEG Latin America Unconventional Resources Technology Conference, November 16–18, 2020
Paper Number: URTEC-2020-1491-MS
... keeping the total mass constant. In this manner, we will estimate the volume contacted by the chemicals. machine learning thermal method reservoir characterization sagd reservoir simulation concentration enhanced recovery hydraulic fracturing artificial intelligence viscosity structural...
Proceedings Papers
Adriana Romero, Norberto Del Campo, Fernando Villagra, Lucas Gonzalez Day, Brian Quezada, Matias Pol’la, Matias Barresi, Francisco Bertoldi, Federico Baieli, Álvarez Claramunt, Juan Ignacio, Martin Rozzisi, Gustavo Martinez, Katherine YPF Silva, Julio Spairani
Paper presented at the SPE/AAPG/SEG Latin America Unconventional Resources Technology Conference, November 16–18, 2020
Paper Number: URTEC-2020-1420-MS
... complex reservoir artificial intelligence unconventional resource economics hydraulic fracturing pressure data completion clasificación ypf well head pressure variation confidencial detection interference real time series analysis well interference time series analysis machine learning...
Proceedings Papers
Paper presented at the SPE/AAPG/SEG Latin America Unconventional Resources Technology Conference, November 16–18, 2020
Paper Number: URTEC-2020-1380-MS
... fracturing upstream oil & gas artificial intelligence fracture characterization complex reservoir strength approach angle natural fracture stress difference differential stress horizontal differential stress experimental result reservoir characterization reservoir simulation criterion mpa...
Proceedings Papers
Adriana Romero, Christopher Feldmann, Katherine Silva Alonso, Gustavo Martinez, José Barros, Marcelo Montero, Gustavo Martinez, Juan Ignacio Alvarez Claramunt, Gustavo Martinez, Eugenio Ferrigno
Paper presented at the SPE/AAPG/SEG Latin America Unconventional Resources Technology Conference, November 16–18, 2020
Paper Number: URTEC-2020-1427-MS
... optimizes actions using a risk approach based on production losses to identify and solve these types of failures is considered a novel instrument. Also, this work is the initial part of a slickline schedule automation system. machine learning plunger lift artificial intelligence artificial lift...
Proceedings Papers
Paper presented at the SPE/AAPG/SEG Latin America Unconventional Resources Technology Conference, November 16–18, 2020
Paper Number: URTEC-2020-1518-MS
... reservoir production control production forecasting urtec 1518 machine learning artificial intelligence reserves evaluation production monitoring complex reservoir dca model oil well production data reservoir surveillance upstream oil & gas hyperbolic equation application reservoir...
Proceedings Papers
Paper presented at the SPE/AAPG/SEG Latin America Unconventional Resources Technology Conference, November 16–18, 2020
Paper Number: URTEC-2020-1428-MS
.... energy economics artificial intelligence reservoir characterization asset and portfolio management optimization problem hydraulic fracturing fracturing materials shale gas reservoir geomechanics shale oil proppant oil shale calibration fracture network workflow fracturing fluid...
Proceedings Papers
Paper presented at the SPE/AAPG/SEG Latin America Unconventional Resources Technology Conference, November 16–18, 2020
Paper Number: URTEC-2020-1560-MS
... multistage fracturing artificial intelligence middle wolfcamp well complex reservoir workflow wolfcamp well cumulative oil production perforation density unconventional resource technology conference seg unconventional resource technology conference upper wolfcamp well drillstem/well testing oil...
Proceedings Papers
Lisandro G. Rodríguez, Juan M. Reynaldi, John B. Angel Alvarez, Sebastian María, Betina Laurenzano, Nadia Curetti, Jaime Faundes
Paper presented at the SPE/AAPG/SEG Latin America Unconventional Resources Technology Conference, November 16–18, 2020
Paper Number: URTEC-2020-1391-MS
... authorities, to promote and recommend its implementation at a regional scale. log analysis well logging neuquén province reservoir characterization artificial intelligence classification water management complex reservoir irrigation concentration salinity estimation salinity hazard upstream...
Proceedings Papers
Paper presented at the SPE/AAPG/SEG Latin America Unconventional Resources Technology Conference, November 16–18, 2020
Paper Number: URTEC-2020-1458-MS
... negatively to water cut and positively to lateral length, proppant-per-foot, and resistivity. In child wells, proppant-per-foot and depth were more important than in parent wells. Fluid-per-foot was of relatively low importance in all models. complex reservoir machine learning artificial intelligence...
Proceedings Papers
Paper presented at the SPE/AAPG/SEG Latin America Unconventional Resources Technology Conference, November 16–18, 2020
Paper Number: URTEC-2020-1350-MS
... data , artificial intelligence have their roots in the Information Technology industry, and the subsequent learnings and applications have spread to other industries such as healthcare, finance, marketing, the streaming industry, and the oil & gas industry among others. This has perhaps been most...
Proceedings Papers
Paper presented at the SPE/AAPG/SEG Latin America Unconventional Resources Technology Conference, November 16–18, 2020
Paper Number: URTEC-2020-1481-MS
... in the life of the well appears to be more detrimental than shut-in at later time. production monitoring reservoir characterization formation damage enhanced recovery production control reservoir surveillance artificial intelligence flow in porous media drillstem testing shale gas upstream oil...
Proceedings Papers
Paper presented at the SPE/AAPG/SEG Latin America Unconventional Resources Technology Conference, November 16–18, 2020
Paper Number: URTEC-2020-1522-MS
... reservoir machine learning shale gas artificial intelligence hydraulic fracturing shale oil oil shale field development optimization and planning well head pressure information head pressure fabric structure whp fh certain rock fabric structure interference relative landing zone position...
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