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引用本文:罗继红,肖梅.Ӧ�������缼��Ԥ��̼�����Ҵ����϶��[J].天然气工业,1993,13(6):31-35.
作者姓名:罗继红  肖梅
作者单位:???????, ?????????????610059
摘    要:本文引入神经网络技术,用以研究碳酸盐岩测井信息与岩心分析孔隙度的,并由此预测储层孔隙度。通过在贵州赤水地区取心井的实际应用,在数据的统计规律较差的情况下,获得了令人满意的结果。

关 键 词:神经网络  测井  碳酸盐岩  储集层

Forecasting the Porosity of Carbonate Reservoir by Neural Net Technique,
Xiao Cixun Luo Jihong Xiao Mei Cai Yongxiang.Forecasting the Porosity of Carbonate Reservoir by Neural Net Technique,[J].Natural Gas Industry,1993,13(6):31-35.
Authors:Xiao Cixun Luo Jihong Xiao Mei Cai Yongxiang
Affiliation:Xiao Cixun Luo Jihong Xiao Mei Cai Yongxiang
Abstract:The relation between carbonate rock logging information and core analysis porosity is studied by neural net technique to forecast reservoir porosity in this paper. Through practising at the well coring in Chishui area, Guizhou, the satisfactory result is obtained in the condition of wanting statistics regula- tion.
Keywords:neural net  logging  carbonate rock  reservoir  porosity  forecast  
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