Drilling dynamics measurement of drilling motors and its application in recognition of motor operation states through machine learning

Author:

Li FeiORCID,Song Haolan,Wang YifanORCID

Publisher

Elsevier BV

Reference23 articles.

1. Identifying contributing factors to China's declining share of renewable energy consumption: no silver bullet to decarbonisation;Sajid;Environ. Sci. Pollut. Control Ser.,2022

2. Machine learned artificial neural networks vs linear regression: a case of Chinese carbon emissions;Sajid;IOP Conf. Ser. Earth Environ. Sci.,2020

3. S. W. Chesher, M. E. Williamson, B. B. Dougherty, R. Spencer, K. Schmitz, and S. K. Tyagi. Operator/service Company Research Collaboration Leads to Reduced Downhole Vibration Levels and Improved Drilling Performance. Society of Petroleum Engineers.

4. Analyzing energy and efficiency of drilling system with mud motor through big data;Zhang,2020

5. E. S. Sitinjak, B. Kurniawan, and Y. Besol. How to Use Drill String Vibration Data to Reveal Geology Phenomena in Geosteering Jobs: an Application Sensor at the Bit.

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