The oxidative coupling of methane to produce ethane and ethylene is a new process developed in recent years.
甲烷氧化偶联生成乙烷和乙烯是几年前出现的新工艺。
In this paper neural network partial least square (NNPLS) was used to establish a robust reaction model for a multi-component catalyst of methane oxidative coupling.
神经网络偏最小二乘法(NNPLS)被应用于一种甲烷氧化偶联多组分催化剂的鲁棒反应模型的建立。
Oxidative coupling of methane (OCM) at room temperature, under atmospheric pressure and in the absence of inert diluting gas by Pulsedcorona discharges was investigated.
研究了在常温，常压及惰性气体稀释的条件下，用脉冲电晕放电进行的甲烷氧化偶联（OCM）反应。
Producing ethylene through oxidative coupling of methane(OCM)is the main focus in natural gas conversion field in the world since 1980s.
甲烷氧化偶联制乙烯是80年代以来世界上天然气转化研究的突出热点。
Producing ethylene through oxidative coupling of methane(OCM)is the main focus in natural gas conversion field in the world since 1980s.
甲烷氧化偶联制乙烯是80年代以来世界上天然气转化研究的突出热点。
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