Evaluation of machine learning methods for formation lithology identification: A comparison of tuning processes and model performances
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Petroleum Science and Engineering"
DOI: 10.1016/j.petrol.2017.10.028
Abstract: Abstract Identification of underground formation lithology from well log data is an important task in petroleum exploration and engineering. Recently, several computational algorithms have been used for lithology identification to improve the prediction accuracy. In… read more here.
Keywords: gradient tree; formation lithology; model; lithology ... See more keywords
Towards Optimization of Boosting Models for Formation Lithology Identification
Sign Up to like & getrecommendations! Published in 2019 at "Mathematical Problems in Engineering"
DOI: 10.1155/2019/5309852
Abstract: Lithology identification is an indispensable part in geological research and petroleum engineering study. In recent years, several mathematical approaches have been used to improve the accuracy of lithology classification. Based on our earlier work that… read more here.
Keywords: models formation; formation lithology; lithology identification; lithology ... See more keywords