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README.md
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- multiphase
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- well
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pretty_name: ManyWells
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size_categories:
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- 1M<n<10M
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---
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[More Information Needed]
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[More Information Needed]
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## Dataset Structure
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<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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### Curation Rationale
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[More Information Needed]
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### Source Data
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#### Who are the source data producers?
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[More Information Needed]
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#### Personal and Sensitive Information
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The dataset does not contain any personal, sensitive, or private data.
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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- multiphase
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- oil
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- gas
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- water
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- well
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pretty_name: ManyWells simulated multiphase flow data
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size_categories:
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- 1M<n<10M
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---
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[More Information Needed]
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## Dataset Structure
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<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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### Curation Rationale
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The ManyWells datasets were created to facilitate research on machine learning and other data-driven methodologies on petroleum production use cases.
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### Source Data
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#### Who are the source data producers?
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The ManyWells datasets were created by Norwegian private company Solution Seeker AS in cooperation with the Norwegian University of Science and Technology.
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#### Personal and Sensitive Information
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The dataset does not contain any personal, sensitive, or private data.
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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