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- W2350324378 abstract "This paper analyzed water-flooded situation of each single sand layer and its affecting factors in inspec-tion wells drilled in resent years for the infill test area,and developed remained oil recognition model for individual lay-er by using neural network mode recognition method.Based on this model,the remained oil distribution of each layer in tertiary infill test area was studied,outlining the distribution characteristics and origin types of various types of reser-voirs,analyzing potential distribution of remained oil in the area.Hence,this paper provided reliable basis for location of tertiary infill well and workout of its perforating project." @default.
- W2350324378 created "2016-06-24" @default.
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- W2350324378 date "2002-01-01" @default.
- W2350324378 modified "2023-09-24" @default.
- W2350324378 title "Study of Remained Oil Distribution in Tertiary Infill Test Area in District Xing1-3,Daqing Oilfield" @default.
- W2350324378 hasPublicationYear "2002" @default.
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