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Keywords: machine learning
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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-2020-1353-MS
... critical. To do so, conducting fracture and reservoir simulations in the cloud and analyzing the results using data analytics and machine learning algorithms can help to develop a powerful solution that creates "proxy" models for fast and effective completion optimization. In the present work, three...
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
... to discard uninformative parameters and retain parameters that may be tightly linked with desired and observed responses (e.g., pressures, production rates). With the advent of new algorithms in multivariate statistical analysis and machine learning (Theodoridis, 2015; Mohaghegh, 2017), the possibility...
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

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-2020-1427-MS
... Abstract The main objective of this work is to identify and enable automatic online optimization actions in wells with plunger lift systems using machine learning. For this purpose, a fault classification model has been developed for plunger lift systems using neural networks focused...
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-2020-1560-MS
... to perform a multivariate statistical analysis. Figure 4 is the flowchart of the workflow illustrating how nonlinear multivariate analysis is deployed on the prepared dataset after evaluating multiple machine learning models. The fracturing behavior of the formation (considering the fracture gradient...
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
..., J., Courtier, J., and Curth, P., 2016, Multivariate Analytics of Seismic Inversion Products to Predict Horizontal Production in the Wolfcamp Formation of the Midland Basin, Unconventional Resources Technology Conference (URTeC) DOI 10.15530-urtec-2016-2449798. complex reservoir machine learning...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Latin America Unconventional Resources Technology Conference, November 16–18, 2020
Paper Number: URTEC-2020-1350-MS
... well productivity contribution machine learning production monitoring complex reservoir dependence plot urtec 1350 argentina unconventional resource technology conference iteration complexity shap value project team final model reservoir surveillance field development optimization...
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
... fracturing child wells/pads. asset and portfolio management complex 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...

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