Simultaneous Estimation of Multiple Hydrate Core Characteristics from a Production Time-Series Using Coupled ANN–GA Methodology
Author:
Funder
oil and natural gas corporation
Publisher
Springer Science and Business Media LLC
Subject
General Environmental Science
Link
https://link.springer.com/content/pdf/10.1007/s11053-022-10045-8.pdf
Reference56 articles.
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3. Basheer, I. A., & Hajmeer, M. (2000). Artificial neural networks: Fundamentals, computing, design, and application. Journal of Microbiological Methods, 43(1), 3–31.
4. Boswell, R., Myshakin, E., Moridis, G., Konno, Y., Collett, T. S., Reagan, M., Ajayi, T., & Seol, Y. (2019a). India National Gas Hydrate Program Expedition 02 summary of scientific results: Numerical simulation of reservoir response to depressurization. Marine and Petroleum Geology, 108, 154–166.
5. Boswell, R., Yoneda, J., & Waite, W. F. (2019b). India National Gas Hydrate Program Expedition 02 summary of scientific results: Evaluation of natural gas-hydrate-bearing pressure cores. Marine and Petroleum Geology, 108, 143–153.
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