arxiv
PublishedJuly 29, 2026 at 4:00 AM
—neutral
A Machine-Learning-Based Gas Lift Optimization Workflow for Unconventional Fields
Publisher summary· verbatim
arXiv:2607.25885v1 Announce Type: cross Abstract: In this paper, we present an automated data-driven workflow using Machine Learning (ML) for gas lift optimization in unconventional fields. This workflow integrates a ML model that accurately forecasts the Gas Lift Performance Curve, and a Bayesian O
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Originally published on arxiv ↗