大庆油田杏1-3区三次加密试验区剩余油分布研究

Study of Remained Oil Distribution in Tertiary Infill Test Area in District Xing1-3,Daqing Oilfield

通过对试验区近年完钻的检查井各单砂层水淹状况及其影响因素的分析,利用神经网络模式识别方法建立起单层剩余油识别模型,在此基础上对三次加密试验区各小层剩余油分布进行研究,总结出各类油层剩余油分布特征及成因类型,并分析了试验区剩余油潜力分布,从而为三次加密布井及射孔方案编制提供了可靠的依据。

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.