大港油田枣南东区块孔一段油藏水淹层测井解释方法评价

发布时间：2018-06-30 00:30

本文选题：水淹层 + 测井响应　；参考：《西南石油大学》2016年硕士论文

【摘要】：大港油田枣南东区块经过长期的注水开发,整体已进入高含水期开发阶段。油藏开发虽然经过多次方案调整,但由于系统整体的调整方案不到位,加之目的区块储层非均质性强,储层岩性细,孔隙结构复杂,使得地下油水关系变得非常复杂,加大了利用测井资料判别水淹级别的难度,造成水淹层测井解释结论与生产吻合程度差,不能满足日益复杂的油田开发对水淹层测井解释的要求。因此,论文提出建立一套适合研究区块的水淹层测井解释方法。论文首先对枣南区块前两轮的水淹层测井解释方法进行了调研,然后分析了储层水淹后泥质含量、电阻率、物性、润湿性、岩电参数以及地层水矿化度等储层参数的变化特征,为水淹层定性、定量识别模型的建立奠定了基础。此外,本文也对油层水淹后SP自然电位、电阻率以及声波时差曲线的测井响应特征进行了分析,为水淹层的定性识别奠定了基础。在水淹层定性识别上,本文利用交会图法、SP自然电位基线偏移法、井间电阻率对比法、径向电阻率比值法、Fisher判别法、多元隶属函数判别法以及密度聚类近邻法等数学方法来识别水淹层,最终通过方法对比,选择密度聚类近邻法作为研究区块水淹层定性识别的方法。在建立储层参数模型时,本文首先利用岩心和测井资料建立了泥质含量、粒度中值、孔隙度、渗透率和饱和度等储层参数模型,所建立的模型与岩心分析结果具有较好的吻合性,说明模型精度较高。在水淹层定量识别上,论文也利用相渗资料、压汞和核磁共振资料,基于经验公式和拟合的方法,建立了束缚水饱和度、残余油饱和度、油水相对渗透率、产水率以及驱油效率等水淹级别划分参数计算模型,并且建立了适合目的区块的水淹级别划分标准,运用该标准对目的区块进行处理,应用效果较好。
[Abstract]:Through long-term water flooding, Zaonan East Block of Dagang Oilfield has entered the stage of high water cut. Although the reservoir development has been adjusted many times, the whole adjustment scheme of the system is not in place, coupled with the strong heterogeneity of the reservoir in the target block, the fine lithology of the reservoir and the complex pore structure, which make the relationship between underground oil and water become very complex. The difficulty of using logging data to distinguish water flooding level is increased, which results in poor agreement between logging interpretation and production, which can not meet the requirements of increasingly complex oilfield development for logging interpretation of water flooded zone. Therefore, a set of logging interpretation methods suitable for the study block is proposed in this paper. In this paper, the logging interpretation methods of the first two rounds of water-flooded zone in Zaonan block are investigated, and then the variation characteristics of reservoir parameters such as muddy content, resistivity, physical property, wettability, rock electrical parameters and formation water salinity are analyzed. It lays a foundation for the establishment of qualitative and quantitative identification model of waterflooded layer. In addition, the logging response characteristics of SP natural potential, resistivity and sonic moveout curve after flooding are analyzed in this paper, which lays a foundation for qualitative identification of water-flooded zones. In the qualitative identification of water-flooded zones, this paper uses the cross plot method, SP natural potential baseline migration method, cross-well resistivity contrast method, radial resistivity ratio method and Fisher discriminant method. Multiple membership function discrimination and density clustering nearest neighbor method are used to identify waterflooded layer. Finally, density clustering nearest neighbor method is selected as the qualitative identification method of waterflooded zone through comparison of methods. In the process of establishing reservoir parameter model, the reservoir parameter models, such as muddy content, median particle size, porosity, permeability and saturation, are established by using core and logging data. The established model is in good agreement with the core analysis results, which indicates that the model has higher accuracy. Based on empirical formula and fitting method, the irreducible water saturation, residual oil saturation and relative permeability of oil and water are also established by using phase permeation data, mercury injection and nuclear magnetic resonance data. The calculation model of waterflooding classification parameters such as water production rate and oil displacement efficiency is established, and the standard of waterflooding level is established for the target block, which is used to treat the target block, and the application effect is good.
【学位授予单位】：西南石油大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TE358;P631.81

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