复杂储层中普遍存在孔隙度相近而渗透率差异较大的现象.为了揭示其原因,采用铸体薄片、核磁共振、CT扫描成像等实验评价孔隙的连通性.连通孔隙度是渗透率的一个主要贡献参数.因此,从岩石孔隙空间的导电机理出发,以导电孔隙度为桥梁,建立连通孔隙度的计算模型,并分析十二种不同类型岩石中连通孔隙度与总孔隙度的函数关系;基于连通孔隙度的计算模型,建立普适性的核磁共振T2模型;以石灰岩储层为例,在相近孔隙度条件下,从不同类型岩石渗透率之间的差异出发,推导、建立孔隙度指数模型,得到孔隙度指数的分布范围.基于普适性的核磁共振T2模型,可将石灰岩储层渗透率预测的平均绝对误差从20.41mD降至0.83mD.该方法具有一定的理论价值和实际意义.

生产动态测井资料的应用,往往局限在直观的判断性应用,在深度挖掘生产动态测井数据的应用方面较少.以油、水两相渗流理论和物质平衡方程为基础,提出了利用时移生产动态测井资料计算剩余油饱和度的新方法;根据产水率与含水饱和度的分布范围和特征,利用不完全Beta函数进行曲线拟合,通过迭代算法找到全局最优解,得到了产水率与含水饱和度的定量转换关系式.在此基础上进一步建立了产水率与驱油效率之间的定量关系,实现了本文方法在不同储层类型水淹级别划分中的应用.实例应用结果表明,水淹级别解释符合率达到90％.本文方法可推广应用于多种储层的水淹级别判别中.

目前M油田面临含水率不断升高、产油量降低的问题,需对油田实施动态监测并进行生产措施调整.生产动态测井资料能够对油井产出层位、流体性质进行识别并计算产量,其解释结果对井筒生产状况认识和开发措施调整至关重要.由于生产动态测井曲线质量受管柱条件、施工状况、流体类型等多方面因素的影响,其解释结果的精度往往较低,影响现场决策.重点研究了复杂管柱条件下生产动态测井资料的精细解释方法,将生产动态测井所提供的产出剖面和注入剖面应用于产水层位识别、封堵作业以及注水方案制定.实际应用表明,生产动态测井在M油田动态监测、增油上产中应用效果良好.

The acoustic logs are essential in the process of seismic inversion.If there are not acoustic logs,they should be forecasted.In X oil field,most development wells have not compression and shear waves logging.Therefore,it is very difficult for looking for the remaining oil.On the basis of three methods including cluster analysis algorithms,petrophysical models and multilinear fitting,the compression wave logging is forecasted.The measurable indicators include the stability,accuracy and practicability of forecasting models.As a result,the multilinear fitting is used to forecast the compression wave logging.The relative error of forecasting model built the multilinear fitting is about 3.18％.Then,the Han formula,Greengerg-Castagna(GC) formula and Xu-White model are applied to forecasting the shear wave logging.Based on the GC formula,the accuracy of forecasting model is highest and its relative error is about 4.36％.At last,the GC formula is used to forecast the shear wave logging.It laid a solid foundation that the accurate forecast of compression and shear waves logging for the distribution prediction of remaining oil and the optimization of well location.In addition,it also has a strong practical significance.

相对于碎屑岩储层,碳酸盐岩储层岩性复杂和储集空间类型多样给适用于岩性单一的均质模型测井评价方法带来了挑战.为进一步提高碳酸盐岩储层参数计算精度,通过对中东M油田具有放射性的白云岩的精细处理、储层参数敏感性分析、最优化处理模型和解释参数等方面进行的准确、有效的评价,建立了以岩性识别为核心的碳酸盐岩储层测井评价技术.应用效果表明,通过储层参数精细化处理与综合解释,其结果可以满足该油田储层评价和储量计算的要求.

The fine log evaluation of complex reservoirs has been a problem of conventional log interpretation. This article introduces QC methods to improve the coincidence rate of complex reservoirs log interpretation. Through a comprehensive analysis, finds the main factors affect the accuracy of complex reservoirs log interpretation and takes appropriate measures to implement. Practice has proved that the QC method worked better in the complex reservoirs log interpretation and played a good project management role.

A fast BP algorithm in MATLAB toolbox is used to train neural networks, the neural networks are used for lithological identification of well logs. Through learning the logging data from a known well section, the lithology from other unknown wells in the same are-a is predicted. Experimental results indicate that the fast BP algorithm in MATLAB toolbox has very high practical value.