Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Xiuwen Mo"'
Autor:
Ming Hu, Chuhao Li, Xiaofan Zhou, Yang Xue, Si Wang, Anqun Hu, Shanshan Chen, Xiuwen Mo, Jianuan Zhou
Publikováno v:
Frontiers in Microbiology, Vol 12 (2021)
Ipomoea aquatica is a leafy vegetable widely cultivated in tropical Asia, Africa, and Oceania. Bacterial leaf canker disease has been attacking the planting fields and seriously affecting the quality of I. aquatica in epidemic areas in China. This st
Externí odkaz:
https://doaj.org/article/110a10ba299d4f8face96cefc336fe05
Publikováno v:
Petroleum Science and Technology. 41:1510-1525
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ce22812825d68a065b217f3490fabab
https://doi.org/10.1080/10916466.2022.2093368
https://doi.org/10.1080/10916466.2022.2093368
Publikováno v:
Petroleum Science & Technology; 2023, Vol. 41 Issue 15, p1510-1525, 16p
Autor:
Liying Xu1, Peng Liu2, Xiuwen Mo1 moxw@jlu.edu.cn, Xue Han2, Zhenlin Li2, Yanying Luo2, Yanhong Gou2, Yufei He2
Publikováno v:
Fresenius Environmental Bulletin. Mar2023, Vol. 32 Issue 3, p1618-1628. 11p.
Publikováno v:
Acta Geophysica. 68:641-649
Based on the three-dimensional digital core of Berea sandstone, three-phase (matrix, wet clay and free water) digital cores of clay-bearing sandstone are constructed. We divide clay into structural clay and dispersed clay according to the location wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::512ca33d8164eb68a5cbb65663de02e5
https://doi.org/10.1007/s11600-020-00410-7
https://doi.org/10.1007/s11600-020-00410-7
Autor:
Shanshan Chen, Ming Hu, Xiuwen Mo, Yang Xue, Xiaofan Zhou, Anqun Hu, Chuhao Li, Jianuan Zhou, Si Wang
Publikováno v:
Frontiers in Microbiology, Vol 12 (2021)
Ipomoea aquatica is a leafy vegetable widely cultivated in tropical Asia, Africa, and Oceania. Bacterial leaf canker disease has been attacking the planting fields and seriously affecting the quality of I. aquatica in epidemic areas in China. This st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::800b9020391f6060cdc71a003b1f783a
https://doi.org/10.3389/fmicb.2021.752760
https://doi.org/10.3389/fmicb.2021.752760
Publikováno v:
ICNC-FSKD
Identifying and classifying fractures is an important task in the study of fractured oil and gas reservoirs. The most common solution is to identify it by artificial interpretation or synthetically probability methods, and to classify them according
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8e808e9582a93a0aa4755562921ac27
https://doi.org/10.1109/fskd.2018.8687232
https://doi.org/10.1109/fskd.2018.8687232
Publikováno v:
DEStech Transactions on Environment, Energy and Earth Sciences.
Aiming at the problem that the conventional logging data processing method has low accuracy and large error for complex reservoirs, this paper presents a PSO-ELM algorithm based on particle swarm optimization for reservoir porosity prediction. The pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7905ab8917b7a7a36d28dfd72bfb7a19
https://doi.org/10.12783/dteees/edep2017/15580
https://doi.org/10.12783/dteees/edep2017/15580
Publikováno v:
ICNC-FSKD
Inversion of geophysical logging data is one of the most important tasks in oil and gas exploration. Ambiguity is usually inherent for the solutions, especially for formation with complex lithology. The optimum log interpretation technique can effect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ceeda3c5b2975750d632f4e126bbfde
https://doi.org/10.1109/fskd.2016.7603323
https://doi.org/10.1109/fskd.2016.7603323
Publikováno v:
FSKD
A technique to reconstruct wireline logs based on the Genetic Neural Networks (GNN) optimization is presented in this paper. Using the genetic algorithm to optimize the traditional neural network's topology structure, weight and threshold, it can eff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b0729265af84bf162f6db651805ed78
https://doi.org/10.1109/fskd.2015.7382082
https://doi.org/10.1109/fskd.2015.7382082