Impact of data quality on supervised machine learning: Case study on drilling vibrations

S Srivastava, RN Shah, C Teodoriu… - Journal of Petroleum …, 2022 - Elsevier
Training complex machine learning and deep learning models has become straightforward
with the advent of highly efficient, open-source machine learning libraries. Supervised …

Bridging the Gap Between Humans and Machines for the Drilling Industry

T Vincent - 2021 - shareok.org
Drilling is perhaps the most revolutionary advancement humanity has ever experienced.
Since its invention, man has seen extraordinary and rapid improvements in quality of life. At …

[引用][C] Natural Language Processing Based Information Extraction from Drilling Reports to Classify Drilling Dysfunction Severity

S Srivastava, RN Shah, C Teodoriu - Geothermal Resources Council Transactions, 2021