Zobrazeno 1 - 8 of 8 pro vyhledávání: '"Oukwang Kwon"'
1
Akademický článek
Restoration of Missing Pressures in a Gas Well Using Recurrent Neural Networks with Long Short-Term Memory Cells
Autor: Seil Ki, Ilsik Jang, Booho Cha, Jeonggyu Seo, Oukwang Kwon
Publikováno v: Energies, Vol 13, Iss 18, p 4696 (2020)
This study proposes a data-driven method based on recurrent neural networks (RNNs) with long short-term memory (LSTM) cells for restoring missing pressure data from a gas production well. Pressure data recorded by gauges installed at the bottom hole
Externí odkaz: https://doaj.org/article/f2587fef6e944176bae32617b2107ac7
Zobrazit plný text záznamu
6
Restoration of Missing Pressures in a Gas Well Using Recurrent Neural Networks with Long Short-Term Memory Cells
Autor: Jeonggyu Seo, Booho Cha, Ilsik Jang, Oukwang Kwon, Seil Ki
Publikováno v: Energies, Vol 13, Iss 4696, p 4696 (2020)
Energies
Volume 13
Issue 18
This study proposes a data-driven method based on recurrent neural networks (RNNs) with long short-term memory (LSTM) cells for restoring missing pressure data from a gas production well. Pressure data recorded by gauges installed at the bottom hole
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4c42ab70007bd003e788344c613f9ee
https://www.mdpi.com/1996-1073/13/18/4696
Zobrazit plný text záznamu
7
The Effect of Ba2+ & Sr2+ on EOR Efficiency in Carbonate Reservoir During Low Salinity Waterflooding
Autor: Yeonkyeong Yeonkyeong, Joohyung Kim, Oukwang Kwon, Wonmo Sung, Yongjun Park, Wonsuk Lee, Hyemin Park
Publikováno v: Day 2 Tue, November 14, 2017.
When low-salinity water containing SO42- is injected into carbonate oil reservoirs, rock dissolution and in-situ precipitation occur as chemical equilibria are progressed, altering both permeability and wettability. The Ba2+/Sr2+ ions present in the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dcb06d0a66008390596a7720b97b5cf1
https://doi.org/10.2118/188392-ms
Zobrazit plný text záznamu
8
Optimization of Pipeline Networks With a Hybrid MCST-CD Networking Model
Autor: Dae-Gee Huh, Wonmo Sung, Junghwan Lee, Oukwang Kwon
Publikováno v: SPE Production & Facilities. 13:213-219
Summary In this paper, we present a hybrid network model (HY-PIPENET) that uses a minimum cost spanning tree (MCST) network algorithm to determine the optimum path and constrained derivative (CD) method, to select an optimum pipe diameter. The HY-PIP
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bed977e3e963f8a3f4b83604b2345ed6
https://doi.org/10.2118/50965-pa
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje