Predicting rate of penetration during drilling of deep geothermal well in Korea using artificial neural networks and real-time data collection
- Resource Type
- Article
- Source
- In
Journal of Natural Gas Science and Engineering July 2019 67:225-232 - Subject
- Language
- ISSN
- 1875-5100