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Journal Articles

Employing Deep Learning Neural Networks for Characterizing Dual-Porosity Reservoirs Based on Pressure Transient Tests

Rakesh Kumar Pandey, Anil Kumar, Ajay Mandal, Behzad Vaferi
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. November 2022, 144(11): 113002.
Paper No: JERT-22-1077
https://doi.org/10.1115/1.4054227
Published Online: April 12, 2022
... characterization gained attention in the 1980s [ 19 – 21 ]. characterizing dual-porosity reservoirs pressure transient test deep learning neural networks long short-term memory dense neural network petroleum engineering 01 02 2022 28 03 2022 29 03 2022 12 04 2022...
View Article titled, Employing Deep Learning Neural Networks for <span class="search-highlight">Characterizing</span> <span class="search-highlight">Dual</span>-<span class="search-highlight">Porosity</span> <span class="search-highlight">Reservoirs</span> Based on Pressure Transient Tests
Open the PDF for Employing Deep Learning Neural Networks for <span class="search-highlight">Characterizing</span> <span class="search-highlight">Dual</span>-<span class="search-highlight">Porosity</span> <span class="search-highlight">Reservoirs</span> Based on Pressure Transient Tests in another window
Topics: Artificial neural networks, Porosity, Pressure, Reservoirs, Transients (Dynamics), Regression models, Signals, Testing, Noise (Sound)