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
Lithology identification on well logs by fuzzy inference
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Petroleum Science and Engineering"
DOI: 10.1016/j.petrol.2019.05.044
Abstract: Abstract The purpose of this work is to present a fuzzy inference system in order to identify lithologies from wireline logs and core data from a specific borehole and transport this information to nearby uncored… read more here.
Keywords: inference; methodology; lithology identification; fuzzy inference ... See more keywords
A Lithology Identification Approach Based on Machine Learning With Evolutionary Parameter Tuning
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2019.2911473
Abstract: Identification of underground formation lithology from well-log data is an important task in petroleum exploration and engineering. Due to the cost or imprecision of some methods applied in this activity, there is a need to… read more here.
Keywords: machine learning; identification; lithology identification; identification approach ... See more keywords
Interpretable Semisupervised Classification Method Under Multiple Smoothness Assumptions With Application to Lithology Identification
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.2978053
Abstract: In this letter, considering the lack of core and drilling cuttings, an interpretable semisupervised classification method (ISSCM) under multiple smoothness assumptions is proposed and applied to lithology identification. The contribution is threefold. First, the novel… read more here.
Keywords: multiple smoothness; method; smoothness assumptions; lithology identification ... See more keywords
Cross-Domain Lithology Identification Using Active Learning and Source Reweighting
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.3041960
Abstract: Cross-domain lithology identification (CDLI) is a common case in lithology identification, which aims to train a machine learning model using the logging data of an interpreted well to predict the lithology of another uninterpreted well.… read more here.
Keywords: lithology; domain lithology; lithology identification; cross domain ... See more keywords
A Hybrid Reducing Error Correcting Output Code for Lithology Identification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2019.2950269
Abstract: Lithology information is critical to the adjustment of drilling control strategies, and can be identified by training a classification model from the well logging data. However, achieving accurate lithology identification is rather difficult owing to… read more here.
Keywords: error correcting; correcting output; lithology; reducing error ... 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
A gradient boosting decision tree algorithm combining synthetic minority oversampling technique for lithology identification
Sign Up to like & getrecommendations! Published in 2020 at "Geophysics"
DOI: 10.1190/geo2019-0429.1
Abstract: Lithology identification based on conventional well-logging data is of great importance for geologic features characterization and reservoir quality evaluation in the exploration and production development of petroleum reservoirs. However, there are some limitations in the… read more here.
Keywords: gradient boosting; lithology identification; boosting decision; identification ... See more keywords
Unsupervised domain adaptation using maximum mean discrepancy optimization for lithology identification
Sign Up to like & getrecommendations! Published in 2020 at "Geophysics"
DOI: 10.1190/geo2020-0391.1
Abstract: Lithology identification plays an essential role in geologic exploration and reservoir evaluation. In recent years, machine-learning-based logging lithology identification has received considerable attention due to its ability to fit complex models. Existing work develops machine-learning… read more here.
Keywords: lithology identification; lithology; unsupervised domain; domain adaptation ... See more keywords