Reservoir Permeability Prediction Based on Analogy and Machine Learning Methods: Field Cases in DLG Block of Jing’an Oilfield, China
AbstractReservoir permeability, generally determined by experimental or well testing methods, is an essential parameter in the oil and gas field development. In this paper, we present a novel analogy and machine learning method to predict reservoir permeability. Firstly, the core tes...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
GeoScienceWorld
2022-09-01
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| Series: | Lithosphere |
| Online Access: | https://pubs.geoscienceworld.org/lithosphere/article/2022/Special%2012/5249460/617865/Reservoir-Permeability-Prediction-Based-on-Analogy |