摘要
利用测井曲线进行岩性与流体类型的识别是测井解释的重要内容之一,可为油田油气藏的综合评价提供重要的基础依据.基于交会图法和岩心资料,本文分析研究了国外M油田的常规测井曲线特征与岩性和流体类型的关系.首先以岩心资料为基础,选取对岩性和孔隙流体敏感的物理量进行交会图分析识别,在现有测井资料的前提下,综合这些物理量建立了GR-BK、GR-NGR、NGR-BK、PHIE-SW交会图版,然后利用这些图版进行了岩性和流体的识别.其中:岩性主要依据自然伽马、中子伽马、电阻率交会图版来识别,流体类型主要依据饱和度和电阻率交会图版进行识别.在上面工作的基础上确定了该油田不同类型的岩性和流体的识别标准值范围:1)碳酸岩识别标准为GR<70API,NGR>2.5CU,BK<5Ω.m;砂岩识别标准为,70API<GR<162API,NGR<2.5CU;泥岩识别标准为GR>162API.2)油气层有效孔隙度PHIE>20%,SW<55%,BK>2Ω.m;水层的有效孔隙度PHIE>20%,但是SW>55%,BK<2Ω.m.从上面的结果可看出,在该研究区域,该方法不仅可以区分砂岩和泥岩这样不太复杂的岩性,甚至可以区分砂岩、石灰岩和白云岩这样易混淆的岩性.最后,通过待测试数据对建立的交会图版进行检验,岩性和流体识别的准确率达到了94%和100%.本文的研究结果对中亚地区油田的岩性识别和储层预测具有重要的应用价值.
One of the important jobs in the interpretation of well logging is the identification of lithology and fluid type according to the well logging curve,which is the basis of comprehensive reservoir assessment in the oilfield. In this paper,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 M oilfield was studied. Firstly, based on the core data and the curves that were available, the physical parameters sensitive to the lothology and fluids in the pore were chosen to set up the crossplots suitable to this area. Then the GR-BK, GR-NGR, NGR-BK and PHIE-SW crossplots were constructed accordingly, and the lithology and the fluid type were identified by using these crossplots. The lithology was identified in the GR, NGR, BK crossplots and the fluids in the pore identified in the PHIE, SW crossplot. Furthermore, the identification standard range of different types of lithologyies and fluid type was set up for M oilfield： 1） for carbonatite： GR〈70API, NGR〉2.5CU and BK〈5Ω . m; for sand.. 70API〈GR〈162API and NGR〈2. 5CU; for shale：GR〉162API; 2） for hydrocarbon bearing formation.. PHIE〉20%, SW〈55% and BK〈2 Ω . m. for water bearing formation PHIE〉20 %, but SW〉55 % and BKM2 Ω. m. At last, the method was tested for the practical data. The results show that the method can distinguish not only the sandstone and shale, but also the confusable lithology such as sandstone, limestone and dolomite. And the accuracy of lithology and fluid type identification is 94% and 100% respectively. The conclusion of this paper is of important value to the lithology identification and reservoir prediction of the foreign oilfields in mid-Asia.
出处
《地球物理学进展》
CSCD
北大核心
2012年第3期1123-1132,共10页
Progress in Geophysics
基金
国家科技重大专项课题(2011ZX05032-003)
大庆油田有限责任公司勘探部研究生基金项目联合资助
关键词
岩性识别
交会图
测井曲线
流体类型
储层预测
Lithology identification, Crossplot, Logging curve, Fluid type , Reservoir prediction
