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利用测井资料识别国外L油田流体性质
作者姓名:徐德龙  李涛  黄宝华  王文荣  赵野  刘艳春  刘宇
作者单位:中国科学院声学研究所;东北石油大学地球科学学院;中国石油天然气管道局北戴河培训中心;中海石油(中国)有限公司天津分公司;大庆油田有限责任公司第一采油厂
基金项目:国家科技重大专项(2011ZX05032-003);大庆油田有限责任公司勘探部研究生基金项目(2010)
摘    要:基于交会图法和岩心资料,分析国外中亚地区L油田的常规测井曲线特征与岩性和流体类型的关系.首先,对测井资料进行整理归纳,消除不同时期测井系列的差异,进行归一化、标准化及其他预处理;然后,以岩心资料为基础,建立测井资料交会图版,利用图版进行岩性和流体识别,其中岩性主要依据自然电位SP、中子伽马NRAT、感应电阻率ILD交会图版识别,流体类型主要依据含水饱和度Sw和电阻率交会图版识别;最后,确定该油田不同类型的岩性和流体识别标准:(1)砂岩自然电位SP<45mV,中子伽马NRAT>1.4CU;泥岩60mV2.8Ω.m;水层的有效孔隙度10%<w<30%,但Sw>55%,1Ω.m
关 键 词:岩性识别  交会图  测井曲线  流体判别  资料预处理  L油田

Identification of foreign L oilfield fluid properties by means of logging data
Authors:XU De-long  LI Tao  HUANG Bao-hua  WANG Wen-rong  ZHAO Ye  LIU Yan-chun  LIU Yu
Institution:1.Institute of Acoustics,Chinese Academy of Sciences,Beijing 100190,China;2.School of Geosciences,Northeast Petroleum University,Daqing,Heilongjiang 163318,China;3.Beidaihe Training Center,PetroChina Gas Line Bureau,Qinghuangdao,Hebei 066100,China;4.CNOOC(China) Co.Ltd.Tianjin Branch,Tianjin 300457,China;5.Oil Recovery Plant No.1,Daqing Oilfield Corp.Ltd.,Daqing,Heilongjiang 163311,China)
Abstract:Based on the crossplot method and the core data,the relationship between the features of conventional well logging curves and the lithology and fluid type of the foreign L oilfield was studied.First,in order to eliminate the differences of the logging suits in different periods,the logging data should be concluded and sorted out,such as the necessary normalization,standardization,and other pre-processing.Moreover,based on the data of core,the logging data crossplot was established,which used to verify the lithology and fluid.The lithology was identified in the SP,NGR,ILD crossplots and the fluids in the pore identified in the Sw,ILD crossplot.Furthermore,the identification standard range of different types of lithologyies and fluid type was set up for L oilfield: ①for sand: SP<45 mV,NRAT>1.4 CU;for shale: 60 mV2.8 Ω·m;for water bearing formation 10%55%,1 Ω·m
Keywords:lithology identification  crossplot  logging curve  fluid discrimination  data preprocessing  L oilfield
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