Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Hwasoo Suk"'
Publikováno v:
Energies, Vol 13, Iss 19, p 5032 (2020)
This study conducts saturation modeling in a gas hydrate (GH) sand sample with X-ray CT images using the following machine learning algorithms: random forest (RF), convolutional neural network (CNN), and support vector machine (SVM). The RF yields th
Externí odkaz:
https://doaj.org/article/82faf284a81c42168bb704f20aee211e
Publikováno v:
Journal of the Korean Society of Mineral and Energy Resources Engineers. 55:226-237
Publikováno v:
Energies, Vol 13, Iss 5032, p 5032 (2020)
Energies; Volume 13; Issue 19; Pages: 5032
Energies; Volume 13; Issue 19; Pages: 5032
This study conducts saturation modeling in a gas hydrate (GH) sand sample with X-ray CT images using the following machine learning algorithms: random forest (RF), convolutional neural network (CNN), and support vector machine (SVM). The RF yields th
Publikováno v:
Journal of the Korean Society of Mineral and Energy Resources Engineers. 52:335-342
Publikováno v:
Volume 8: Polar and Arctic Sciences and Technology; Petroleum Technology.
This study determines facies distribution in a clastic reservoir using a hidden Markov model combined with an Expectation-Maximization algorithm. Iterating expectation and maximization steps of the algorithm builds the hidden Markov model by tuning t