Nappropriate diction in the English Descriptions is complex and difficult to solve.In my study,I introduces four types of inappropriateness classified on the basis of related linguistic theories that deal with the cho...Nappropriate diction in the English Descriptions is complex and difficult to solve.In my study,I introduces four types of inappropriateness classified on the basis of related linguistic theories that deal with the choice of words.The four types of inappropriate diction are entitled respectively semantic inappropriateness,pragmatic inappropriateness,stylistic inappropriateness and social inappropriateness.展开更多
Controlling sand production in the petroleum industry has been a long-standing problem for more than 70 years.To provide technical support for sand control strategy,it is necessary to predict the conditions at which s...Controlling sand production in the petroleum industry has been a long-standing problem for more than 70 years.To provide technical support for sand control strategy,it is necessary to predict the conditions at which sanding occurs.To this end,for the first time,least square support machine(LSSVM)classification approach,as a novel technique,is applied to identify the conditions under which sand production occurs.The model presented in this communication takes into account different parameters that may play a role in sanding.The performance of proposed LSSVM model is examined using field data reported in open literature.It is shown that the developed model can accurately predict the sand production in a real field.The results of this study indicates that implementation of LSSVM modeling can effectively help completion designers to make an on time sand control plan with least deterioration of production.展开更多
文摘Nappropriate diction in the English Descriptions is complex and difficult to solve.In my study,I introduces four types of inappropriateness classified on the basis of related linguistic theories that deal with the choice of words.The four types of inappropriate diction are entitled respectively semantic inappropriateness,pragmatic inappropriateness,stylistic inappropriateness and social inappropriateness.
文摘Controlling sand production in the petroleum industry has been a long-standing problem for more than 70 years.To provide technical support for sand control strategy,it is necessary to predict the conditions at which sanding occurs.To this end,for the first time,least square support machine(LSSVM)classification approach,as a novel technique,is applied to identify the conditions under which sand production occurs.The model presented in this communication takes into account different parameters that may play a role in sanding.The performance of proposed LSSVM model is examined using field data reported in open literature.It is shown that the developed model can accurately predict the sand production in a real field.The results of this study indicates that implementation of LSSVM modeling can effectively help completion designers to make an on time sand control plan with least deterioration of production.
