Data for: Optimization of Models for a Rapid Identification of Lithology While Drilling - A Win-Win Strategy Based on Machine Learning

Published: 28 Jan 2019 | Version 1 | DOI: 10.17632/cd6fkdfyf5.1
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Description of this data

There are 3345 groups training data which come from conventional wireline logging of Yan'an gas field and 3345 groups test data which come from logging while drilling of Yan'an gas field in the data file.

Experiment data files

This data is associated with the following publication:

Optimization of models for a rapid identification of lithology while drilling - A win-win strategy based on machine learning

Published in: Journal of Petroleum Science and Engineering

Latest version

  • Version 1

    2019-01-28

    Published: 2019-01-28

    DOI: 10.17632/cd6fkdfyf5.1

    Cite this dataset

    Sun, Jian (2019), “Data for: Optimization of Models for a Rapid Identification of Lithology While Drilling - A Win-Win Strategy Based on Machine Learning”, Mendeley Data, v1 http://dx.doi.org/10.17632/cd6fkdfyf5.1

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Categories

Petroleum Engineering, Well Logging

Licence

CC BY NC 3.0 Learn more

The files associated with this dataset are licensed under a Attribution-NonCommercial 3.0 Unported licence.

What does this mean?

You are free to adapt, copy or redistribute the material, providing you attribute appropriately and do not use the material for commercial purposes.

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