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          Temizel, C., Purwar, S., Abdullayev, A., Urrutia, K., Tiwari, A., Erdogan, S.S., 2015. Effi-
             cient Use of Data Analytics in Optimization of Hydraulic Fracturing in Unconventional
             Reservoirs. SPE-177549-MS. https://doi.org/10.2118/177549-MS.
          van Buuren, S., Groothuis-Oudshoorn, K., 2011. Mice: multivariate imputation by chain
             equations in R. J. Stat. Softw.. 45(3).
          Zangl, G., Stundner, M., 2007. Method for History Matching a Simulation Model Using Self
             Organizing Maps to Generate the Regions in the Simulation Model. US Pat. App. Pub-
             lication, US 2007/0198234 A1.
          Zangl, G., Al-Kinani, A., Stundner, M., 2011. Holistic Workflow for Autonomous History
             Matching Using Intelligent Agents: A Conceptual Approach. SPE-143842-MS. https://
             doi.org/10.2118/143842-MS.
          Zhong, M., Schuetter, J., Mishra, S., LaFolette, R.F., 2015. Do Data Mining Methods Mat-
             ter?: A Wolfcamp Shale Case Study. SPE-173334-MS. https://doi.org/10.2118/
             173334-MS.
          Zikopoulos, P., Deroos, D., Parasuraman, K., Deutsch, T., Corrigan, D., Giles, J., 2013.
             Harness the Power of Big Data: The IBM Big Data Platform. McGraw Hill, NY.
          FURTHER READING

          Caers, J., 2011. Modeling Uncertainty in the Earth Sciences. John Wiley & Sons Ltd,
             Chichester, UK.
          Doveton, J.H., 1994. Geologic Log Analysis Using Computer Methods. (AAPG Special
             Volumes).
          Magomedov, B., 2006. Self-Organizing Feature Maps (Kohonen Maps). https://www.
             codeproject.com/Articles/16273/Self-Organizing-Feature-Maps-Kohonen-maps.
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