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   Artificial intelligence selection with capability of editing a new parameter for EOR screening criteria  
   
نویسنده abass e. ,song c.l.
منبع journal of engineering science and technology - 2011 - دوره : 6 - شماره : 5 - صفحه:632 -642
چکیده    This paper describes the application of an artificial intelligence (ai) technique to assist in the selection of an enhanced oil recovery method (eor). the structure of an expert systems selection based on a new formulated screening criteria,artificial intelligence selection developed by a computer software called (e kor a),with an easily and friendly user interface by using visual basic-6 environment tools is presented. an additional capability provided by this software is the ability of changing and editing the parameters of eor methods which emerged or tested in current implementation projects. other commercial expert systems either offer limited or no capabilities for changing and editing the eor parameters of screening rule. © school of engineering,taylor's university.
کلیدواژه Artificial intelligence; EOR parameters; Expert system; Oil recovery method; Screening criteria
آدرس college of petroleum eng. and technology,sudan university of science and technology, Sudan, faculty of petroleum engineering, China
 
     
   
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