Quantitative Evaluation of Tight Sandstone Reservoirs Based on Data Mining Using MICP Data
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-0761-5_302
Reference13 articles.
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3. Yao, J.L., Deng, X.Q., Zhao, Y.D., et al.: Characteristics of tight oil in Triassic Yanchang Formation, Ordos Basin. Petrol. Explor. Dev. 40(2), 150–158 (2013)
4. Park, H.J., Lim, J.S., Kang, J.M.: Applications of advanced polynomial neural networks for prediction of multi-well reservoir performance. Energy Sources Part A Recovery Utilization Environ. Effects 30(5), 452–463 (2008)
5. Baghaee, M., Shahbazian, M.: Modeling the permeability of a reservoir using a new hybrid fuzzy-neural network strategy. Energy Sources Part A Recovery Utilization Environ. Effects 35(11), 1000–1006 (2013)
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