Optimizing Well Selection in Hydraulic Fracturing Using Advanced Machine Learning Approaches
This research evaluates the performance of artificial neural networks (ANNs) and adaptive neuro-fuzzy inference systems (ANFIS) in selecting well candidates for hydraulic fracturing (HF) in the Bach Ho oilfield, Vietnam. Traditional well selection often depends on expert judgment and deterministic c...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
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| Series: | Geofluids |
| Online Access: | http://dx.doi.org/10.1155/gfl/9802201 |
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