Probabilistic Evaluation of Hydraulic Fracture Performance Using Ensemble Machine Learning

Evaluation of hydraulic fracture (HF) performances is critical to develop unconventional resources such as tight oil and gas. We present a probabilistic evaluation approach that integrates ensemble machine learning with Monte Carlo simulation. In the method, we employ the ensemble learning to develo...

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Bibliographic Details
Main Authors: Xiaoping Xu, Xianlin Ma, Jie Zhan
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Geofluids
Online Access:http://dx.doi.org/10.1155/2022/1760065
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