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哈南油田阿尔善组储层发育，油气资源丰富，为哈南油田的主力油藏．在该油藏的研究中，充分利用已有的测井资料，首先研究了测井资料的标准化方法以及以测井曲线为基础的岩心归位方法，进而采用神经网络技术将测井信息转化为地质信息，通过该区２７９口井测井资料的综合解释和评价处理，为储层研究提供了基本地质参数和油气评价结论，并采用克里金估计模型绘制了砂体分布、油层有效厚度、孔隙度、渗透率及含油饱和度的平面空间分布图，全面分析了储层在空间的分布规律，为区块油藏综合治理和开发提供了可靠依据．
The Hasan Oilfield, Aershan Formation has well-developed reservoirs with abundant oil and gas resources and is the main oil reservoir of the Hannan Oilfield. In the research of this reservoir, taking full advantage of the existing well logging data, we first studied the standardization method of well logging data and the core regression method based on well logging curves, and then converted the logging information into Geological information, through the comprehensive interpretation and evaluation of well logging data from 279 wells in this area, provided the basic geological parameters and the conclusion of oil and gas evaluation for reservoir research. The distribution of sand body, effective thickness of oil layer, Porosity, permeability and oil saturation of the plane space distribution, a comprehensive analysis of the distribution of the reservoir space rules for the comprehensive management and development of block reservoir provides a reliable basis.