【作者】 崔玉峰；

【导师】 韩学辉；

【作者基本信息】 中国石油大学（华东） ， 地球探测与信息技术， 2013， 硕士

【摘要】 准噶尔盆地八区530井区克下组储层为典型的低孔低渗储层。由于该储层物性差并存在岩性、孔隙结构的非均质性，储层物性下限的确定、储层类型的定性识别、储层静态参数的定量评价和流体性质的定性识别存在很大的困难，尚没有很好的解决方法。本文在系统调研低渗透储层测井评价方法的基础上，收集整理了储层的地质资料、岩心分析资料、试油试水、测井等资料，基于储层物性下限研究开展了八区530井区克下组储层“四性”特征的研究，依据产能指标对储层进行了分类并开发了测井识别方法，按照“岩心刻度测井”原则建立了储层静态参数测井评价方法，按照“动态刻度静态”的原则建立了储层流体性质的测井识别方法。首先，选用含油产状法、经验统计法、最小流动孔喉半径法和孔隙度渗透率交会图四种方法开展了八区530井区克下组储层物性下限研究，确定储层的孔隙度下限为7.0%和渗透率下限为1.0×10-3μm2（详见论文第二章第二节）。其次，针对储层存在的岩性和孔隙结构的非均质性，通过制作每米产液指数与物性参数的交会图划分出两类储层（详见论文第三章第一节）：I类储层为粗歪度砂砾岩储层（每米产能指数PI>0.2m3/(d m MPa)，综合物性参数Z>0.028），II类储层为细歪度砂质砾岩（每米产液指数PI<0.2m3/(d m MPa)，综合物性参数Z<0.028），应用主成分分析方法给出了测井识别标准（详见论文第三章第二节），为进一步按储层类型开展测井评价建模和测井评价奠定了基础。再次，按照“岩心刻度测井”的原则统计建立了两类储层的孔隙度、渗透率、饱和度评价模型（详见论文第四章），并结合实例考察了方法精度：孔隙度绝对误差小于10%，渗透率误差在1个数量级内。最后，按照“动态刻度静态”原则开发了储层流体性质的测井识别方法，给出了油水层的物性、含油性以及电性识别标准（详见论文第五章），并结合3个油水层解释实例考察了流体性质识别方法的应用效果。应用效果表明，本次研究立足于八区530井区克下组储层的地质、开发特征和电性特征研发的储层物性下限确定方法、储层类型划分和测井识别方法、储层静态参数定量评价方法和流体性质的定性识别方法能够满足该低孔低渗储层测井评价的精度要求，可为该储层的勘探和高效开发提供有力的技术支撑。更多还原

【Abstract】 The reservoir on lower Karamay formation in530well block of8th zone in Junggarbasin is typical low porosity and low permeability reservoir. Because of poor physicalproperty, heterogeneity of lithology and pore structure, it is difficult to identify the lower limitof petrophysical properties, recognize the reservoir type, evaluate the static reservoirparameters quantitatively and identify the fluid properties qualitatively. No efficient methodsare found until now. Based on the study of evaluation methods in low permeability reservoir,geological data, core analysis data, test data and well logging data collected, and according tothe study of petrophysical property lower limit, four characteristics of the reservoir on lowerKaramay formation in530well block are studied. Reservoir is classified by productivityindex and well logging method of identify reservoir types is developed. According to theprinciples of core calibrating logging and dynamic state calibrating static state, well loggingevaluation methods on static reservoir parameters and fluid property are established.Firstly, four methods including oil-bearing occurrence, statistics experience, minimumflow pore throat radius and cross plot of porosity vs permeability are used to study onpetrophysical property lower limit of the reservoir on lower Karamay formation in530wellblock of8th zone in Junggar basin. The lower limit of porosity and permeability of thereservoirs are7%and1.0×10-3um2(See section2in chapter2). Secondly, to identify theheterogeneity of lithology and pore structure in reservoir, the reservoir is classified as twotypes by cross plot of fluid production index per meter vs physical parameter (See section1in chapter3). Reservoir Ⅰ is bold skewness glutenite reservoir (fluid production index permeter PI>0.2m3/(d·m·MPa), and comprehensive physical parameter Z <0.028). Reservoir Ⅱ is fine skewness sandy conglomerate reservoir.(fluid production index per meter PI>0.2m3/(d m MPa), and Z <0.028). Well logging identification criterion is established by themethod of principal component analysis (See section2in chapter3), which lays a foundationfor well logging model and evaluation of reservoir. Thirdly, porosity models, permeabilitymodels and saturation models are established according to the principle of core calibratinglogging (See chapter4). The model precision is studied and result shows that the porosityabsolute error is lower than10%and the permeability error is lower than one order ofmagnitude. Finally, based on the principle of dynamic state calibrating static state, the methodon identification of fluid property by well logging and criterion using physical property,oiliness and electrical property to recognize oil-water layers are established (See chapter5).And effect of identification of fluid property is studied by3examples of oil-water layer.Application effect shows that, based on reservoir characters of geology, exploitation andelectronicity on lower Karamay formation in530well block of8th zone, the methodsdeveloped in this study which include petrophysical property lower bound identification,classification of reservoir types, recognition of reservoir types by well logging, quantitativeevaluation of static reservoir parameters and qualitative identification of fluid property canmeet the requirement of evaluation precision for low porosity and low permeability reservoir.This can provide technical support to efficient exploration and development of the reservoir inthis zone.更多还原