화학공학소재연구정보센터
검색결과 : 31건
No. Article
1 Field data analysis and risk assessment of gas kick during industrial deepwater drilling process based on supervised learning algorithm
Yin QS, Yang J, Tyagi M, Zhou X, Hou XX, Cao BH
Process Safety and Environmental Protection, 146, 312, 2021
2 Data-driven Bayesian network model for early kick detection in industrial drilling process
Nhat DM, Venkatesan R, Khan F
Process Safety and Environmental Protection, 138, 130, 2020
3 A new methodology for kick detection during petroleum drilling using long short-term memory recurrent neural network
Osarogiagbon A, Muojeke S, Venkatesan R, Khan F, GillardCentre P
Process Safety and Environmental Protection, 142, 126, 2020
4 A study on identification of borehole ballooning in the formation with narrow safe density window
Li C, Guan ZC, Zhang B, Sheng YN, Wang Q, Wang XH, Han C
Energy Sources Part A-recovery Utilization and Environmental Effects, 41(1), 105, 2019
5 Numerical method and analysis of ultrasonic detection of gas kick in deepwater risers during Offshore drilling
Xu YQ, Guan ZC, Xu CB, Hasan AR, Sun S
International Journal of Heat and Mass Transfer, 136, 1311, 2019
6 Wellbore temperature distribution during circulation stage when well-kick occurs in a continuous formation from the bottom-hole
Zhang Z, Xiong YM, Gao Y, Liu LM, Wang MH, Peng G
Energy, 164, 964, 2018
7 Bit pressure control during drilling operation using engineering process control
Imanian M, Ghassemi A, Karbasian M
Energy Sources Part A-recovery Utilization and Environmental Effects, 40(18), 2193, 2018
8 A hydrate shell growth model in bubble flow of water-dominated system considering intrinsic kinetics, mass and heat transfer mechanisms
Sun XH, Sun BJ, Wang ZY, Chen LT, Gao YH
International Journal of Heat and Mass Transfer, 117, 940, 2018
9 Operator situation awareness and physiological states during offshore well control scenarios
Mehta RK, Peres SC, Shortz AE, Hoyle W, Lee M, Saini G, Chan HC, Pryor MW
Journal of Loss Prevention in The Process Industries, 55, 332, 2018
10 A quantitative risk analysis model considering uncertain information
He R, Li XH, Chen GM, Wang YC, Jiang SY, Zhi CX
Process Safety and Environmental Protection, 118, 361, 2018