Data for: Fusing multiple frequency-decomposed seismic attributes with machine learning for thickness prediction and sedimentary facies interpretation in fluvial reservoirs

Published: 16 Mar 2019 | Version 1 | DOI: 10.17632/6k4hp5hhcx.1
Contributor(s):

This data is associated with the following publication:

Fusing multiple frequency-decomposed seismic attributes with machine learning for thickness prediction and sedimentary facies interpretation in fluvial reservoirs

Published in: Journal of Petroleum Science and Engineering

Latest version

  • Version 1

    2019-03-16

    Published: 2019-03-16

    DOI: 10.17632/6k4hp5hhcx.1

    Cite this dataset

    Yue, Dali (2019), “Data for: Fusing multiple frequency-decomposed seismic attributes with machine learning for thickness prediction and sedimentary facies interpretation in fluvial reservoirs”, Mendeley Data, v1 http://dx.doi.org/10.17632/6k4hp5hhcx.1

Statistics

Views: 990
Downloads: 14

Categories

Geostatistics

Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?

This dataset is licensed under a Creative Commons Attribution 4.0 International licence. What does this mean? You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

Report