2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) 2021
DOI: 10.1109/icmla52953.2021.00173
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Optimizing Multi-Stage Hydraulic Fracturing Treatments for Economical Production in Permian Basin Using Machine Learning

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“…Chaikine et al reported that the developed model could predict individual well production with a 14.9% average error which can be decreased exponentially with multiple well aggregations. Other references for hydraulic fracturing design optimization are Mutalova et al [140], Wang et al [141], and Hryb et al [142]. Fracture-interaction studies have been combined with machine learning techniques, such as fracture interference [143] and automated hydraulic fracturing [144].…”
Section: Data Analytics Approachmentioning
confidence: 99%
“…Chaikine et al reported that the developed model could predict individual well production with a 14.9% average error which can be decreased exponentially with multiple well aggregations. Other references for hydraulic fracturing design optimization are Mutalova et al [140], Wang et al [141], and Hryb et al [142]. Fracture-interaction studies have been combined with machine learning techniques, such as fracture interference [143] and automated hydraulic fracturing [144].…”
Section: Data Analytics Approachmentioning
confidence: 99%