Zobrazeno 1 - 10
of 153
pro vyhledávání: '"Xinmin SONG"'
Autor:
Xinmin SONG, Yong LI, Fengfeng LI, Liping YI, Benbiao SONG, Guangya ZHU, Haiyang SU, Liang WEI, Chao YANG
Publikováno v:
Petroleum Exploration and Development, Vol 51, Iss 3, Pp 661-673 (2024)
Based on the waterflooding development in carbonate reservoirs in the Middle East, in order to solve the problem of the poor development effects caused by commingled injection and production, taking the thick bioclastic limestone reservoirs of Cretac
Externí odkaz:
https://doaj.org/article/7744e555d7f947a8b0a5d7bad1eb7c38
Publikováno v:
Frontiers in Earth Science, Vol 12 (2024)
The sedimentary system of the delta front is complex. The hydrodynamic conditions, changes in sediment supply, and mineral composition are crucial factors that influence the quality of reservoirs. Reservoir quality varies among different sedimentary
Externí odkaz:
https://doaj.org/article/0b910959fe2c4a929416f4fdc22f6763
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
Introduction: The unscented Kalman filter based on unbiased minimum-variance (UKF-UMV) estimation is usually used to handle the state estimation problem of nonlinear systems with an unknown input. When the nonlinear system is disturbed by non-Gaussia
Externí odkaz:
https://doaj.org/article/a0543723296f48828dbae808142acbd3
Autor:
Lu Wang, Yong Nie, Xinglong Chen, Jinbo Xu, Zemin Ji, Wenfeng Song, Xiaofang Wei, Xinmin Song, Xiao-Lei Wu
Publikováno v:
Microorganisms, Vol 12, Iss 8, p 1543 (2024)
Carbon capture, utilization, and storage (CCUS) is an important component in many national net-zero strategies, and ensuring that CO2 can be safely and economically stored in geological systems is critical. Recent discoveries have shown that microbia
Externí odkaz:
https://doaj.org/article/814c5f45785047f6b2a2f64c60d697b5
Publikováno v:
Frontiers in Microbiology, Vol 14 (2023)
While pressure is a significant characteristic of petroleum reservoirs, it is often overlooked in laboratory studies. To clarify the composition and metabolic properties of microbial communities under high-pressure conditions, we established methanog
Externí odkaz:
https://doaj.org/article/9eeb630b7606422e9089ce6bfbbfa6dd
Publikováno v:
Petroleum Exploration and Development, Vol 50, Iss 1, Pp 229-244 (2023)
The development history of carbon capture, utilization and storage for enhanced oil recovery (CCUS-EOR) in China is comprehensively reviewed, which consists of three stages: research and exploration, field test and industrial application. The breakth
Externí odkaz:
https://doaj.org/article/d03f6121f50e491484f74f1b24a1eb1e
Autor:
Changfeng XI, Bojun WANG, Fang ZHAO, Tong LIU, Zongyao QI, Xialin ZHANG, Junshi TANG, Youwei JIANG, Wenlong GUAN, Hongzhuang WANG, Dongbo HE, Xinmin SONG, Daode HUA, Xiaokun ZHANG
Publikováno v:
Petroleum Exploration and Development, Vol 49, Iss 4, Pp 874-885 (2022)
Physical modeling, numerical simulation and field case analysis were carried out to find out the subsurface thermal oxidation state, thermal oxidation front characteristics and production dynamic characteristics of high pressure air injection thermal
Externí odkaz:
https://doaj.org/article/8c79219a9b69457792313eeac57aea40
Publikováno v:
Geofluids, Vol 2023 (2023)
The fast and accurate determination of average reservoir pressure (ARP) and gas reserves is vital for the analysis and forecasting of gas well performance. An explicit and relatively rigorous method for estimating the ARP and gas in place, based on t
Externí odkaz:
https://doaj.org/article/5f0926fa960a4e53b574b0ca98d20d41
Publikováno v:
Petroleum Exploration and Development, Vol 48, Iss 6, Pp 1367-1382 (2021)
The transformation mechanism of muddy carbonate rock by the coupling of bioturbation and diagenesis was studied based on core, cast thin section and physical property data of Cretaceous strata in the Mesopotamia Basin, the Middle East. There are 3 wa
Externí odkaz:
https://doaj.org/article/5b713ba7ae1d47dba4ce052cc4f10297
Publikováno v:
Sensors, Vol 23, Iss 14, p 6645 (2023)
This study targets the low accuracy and efficiency of the support vector machine (SVM) algorithm in rolling bearing fault diagnosis. An improved grey wolf optimizer (IGWO) algorithm was proposed based on deep learning and a swarm intelligence optimiz
Externí odkaz:
https://doaj.org/article/f2cd326ee0b148d3b18287d922bf5371