【作者】 马建海；

【导师】 孙建孟；

【作者基本信息】 中国石油大学 ， 地质资源与地质工程， 2008， 博士

【摘要】 为了解决尕斯地区E₃²储层岩性复杂、物性变化大、非均质严重、有效储层划分、流体性质识别困难的问题,必须开展对E₃²复杂油气储层的理论与方法的测井综合评价研究。E₃²地区储层岩性识别困难,岩性不纯,多为泥灰岩或藻灰岩储层,单纯的利用岩心观察,试油资料,物性资料及常规测井资料来判断地层岩性是非常困难的。本文结合斯仑贝谢的FMI和ECS测井新技术,以岩心为标定,在系统观察岩心和裂缝发育规律总结的基础上,首次在该油田解决了岩性识别和灰质含量定量求取的技术。针对藻灰岩是本地区重要的储集岩性,通过测井交会图的方法对藻灰岩进行测井响应分析,厚度统计分析,选取厚度较大的、FMI图像特征典型的井进行横向对比或通过岩心标定、岩石薄片进行井的横向对比。对储层的主要储集空间进行分析,对裂缝特征（产状,类型）,形成机制以及充填机制进行分析,利用地层微电阻率扫描成像测井对裂缝的参数进行定量地计算。针对缝洞孔隙度标定问题,首次采用以全直径岩心渗透率大于0.1,常规岩心分析渗透率小于0.1作为区分岩心有无裂缝的标志,进行了统计研究取得了很好的地质效果。确定岩电参数a,b,m,n,分别计算储层的有效孔隙度,含油饱和度,渗透率,地层水电阻率,应用统计方法中较为直观的饼图、直方图、交会图和测井综合图来研究四性关系。针对本地区流体性质识别的困难,开展感应侧向比值判别法、核磁共振测井移谱差谱法、横波时差重叠、纵横波速度比法、纵波等效弹性模量差比法、流体声阻抗比值法、弹性模量比差比法、含氢指数重叠法、流体压缩系数法、流体识别综合法等流体性质识别方法研究,并构造了流体识别指数,取得了良好的效果。应用PETREL软件,采用随机建模的方法对E₃²油藏储层进行三维地质建模。根据研究区的地质特征,建模过程中的储层类型属于离散变量,选用序贯指示模拟方法;储层参数属于连续变量,则选用序贯高斯模拟方法,对储层分别实现构造建模（单井模型、断层模型和层面模型）和属性建模,在构造模型的基础上建立储层参数的三维分布,通过储层参数的分布的叠合研究,在该油田指明了三个有利油气分布区块。更多还原

【Abstract】 In order to resolve the problem about complex reservoir lithology, great variation in physical property, seriously heterogeneous, available reservoir delineation, identification of fluid type in Gasi E₃² area it is necessary to study the well-logging comprehensive evaluation of complex reservoir. The lithology of the Gasi reservoir is difficult to identify. Most lithology is muddy limestone or algal limestone. It is very difficult to decide the formation lithology just using core observation, oil production testing data, physical property data and conventional logging data. In the thesis we firstly develop a technique. The technology is combined with FMI and ECS from Schlumberger, and calibrated by core. It is based on observing core and the law of fracture development after thorough analysis and calibration. Algal limestone is the important reservoir lithology in this zone. The logging response and thickness statistics of algal limestone are analyzed by logging cross plot. The wells with considerable thickness and typical FMI image characteristics are selected to do lateral comparison. The lateral comparison can also be carried out by core calibration and rock thin section.We analyze the main storage space of reservoir, the fracture feature （attitude, types）, forming and filling mechanism. The fracture parameters are quantitatively calculated by FMI. According to the calibration of fracture porosity, that full diameter cores analysis permeability is greater than 0.1 and that conventional core analysis permeability is smaller than 0.1 are used to decide whether the cores has the fracture. The statistical analysis is performed on those cores. A good geological result was obtained. The rock electric characteristics （a, b, m and n） are determined. The reservoir effective porosity, oil saturation, permeability and formation water resistivity are also obtained. The pie chart, bar chart, cross plot and logging synthetic graph are applied to study the relationship of the four properties’relations.According to the difficulty of identifying fluid in this area, we apply some methods to identify the fluid type and develop the index of fluid identification. Those methods include induction-lateral ratio method, NMR shift differential spectrum method, S-wave transit time overlap, P-wave and S-wave velocity ratio method, difference-ratio method of P-wave equivalent elastic modulus, ratio method of fluid acoustic impedance, difference-ratio method of elastic modulus ratio, hydrogen index overlap method, fluid compressibility method. A good result was obtained by those methods.The 3D geological model of the Gasi area is generated using random model based on PETREL software. According to the geological property of the research area, we apply sequence indicator simulation method if the reservoir type is discrete variable. Sequence Gauss simulation method is used if the type of reservoir property is continuous variable. Structural model （single well model, fault model and bedding model） and property model are built. The 3D distributions of reservoir parameters are established based on structural model. Three advantage oil distribution of the oil field are pointed out through overlap of the reservoir parameters distributions.更多还原