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Keywords: representative well
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Proceedings Papers
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-3245-MS
... scaling factors. We cluster wells based on their observed flow regimes. We then fit a model to a representative well in each cluster. This model could be analytical or numerical, depending on the data available. We then use Bayesian hierarchical modeling to scale the model to each well. We also obtain...
Proceedings Papers
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-3167-MS
...) and completion variables (LL, HFI, PPI). The historical data used to train GBR include those variables and productivity (POLN) of wells completed from 2009 to 2019. We then use the trained model to predict POLN of a representative well in each grid cell with the estimated completion variables (LL, HFI, PPI...
