Total Organic Carbon Predictions from Lower Barnett Shale Well-log Data Applying an Optimized Data Matching Algorithm at Various Sampling Densities
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geochemistry and Petrology,Geophysics
Link
https://link.springer.com/content/pdf/10.1007/s00024-020-02566-1.pdf
Reference51 articles.
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3. Alizadeh, B., Najjari, S., & Kadkhodaie, A. (2011). Artificial neural network modeling and cluster analysis for organic facies and burial history estimation using well log data: A case study of the South Pars gas field, Iran. Computers and Geosciences, 45, 261–269.
4. Al-Mudhafar, W. J. (2017). Integrating well log interpretations for lithofacies classification and permeability modeling through advanced machine learning algorithms. Journal of Petroleum Exploration and Production, 7, 1023–1033.
5. Alshakhs, M., & Rezaee, R. (2017). A new method to estimate total organic carbon (TOC) content, an example from Goldwyer Shale Formation, the Canning Basin. The Open Petroleum Engineering Journal, 10, 118–133. https://doi.org/10.2174/1874834101710010118.
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