Intelligent Kick Detection Method Using Cascaded GRU Network with Adaptive Monitoring Parameters
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0272-5_18
Reference18 articles.
1. Mao, Y., Zhang, P.: An automated kick alarm system based on statistical analysis of real-time drilling data. In: Abu Dhabi International Petroleum Exhibition & Conference, Abu Dhabi, UAE (2019)
2. Tang, H., Zhang, S., Zhang, F.: Time series data analysis for automatic flow influx detection during drilling. J. Petrol. Sci. Eng. 172, 1103–1111 (2019)
3. Tost, B.C., Rose, K., Carney, J.: Early kick detection from downhole measurements: a novel method for reducing the frequency and magnitude of loss-of-well-control events. In: Offshore Technology Conference (OTC), Houston, Texas, USA (2020)
4. Lafond, A., Leblay, F., Roguin, G.: Automated influx and loss detection system based on advanced mud flow modeling. In: SPE Annual Technical Conference and Exhibition, Calgary, Alberta, Canada (2019)
5. Blue, D., Blakey, T., Rowe, M.: Advanced mud logging: Key to safe and efficient well delivery. In: Offshore Technology Conference (OTC), Houston, Texas (2019)
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