苏里格气田致密气层测井精细建模方法

鄂尔多斯盆地苏里格气田是低渗透致密砂岩气藏的典型代表，根据毛细管压力曲线形态，基于自组织神经网络技术，建立了孔隙结构测井自动判别和分类渗透率计算模型，有效提高渗透率计算精度；在储层导电机理研究基础上，建立了基于粘土束缚水、微孔隙水和自由水“三水”并联导电的含水饱和度计算模型，显著提高了储层含气性评价精度。实际测井资料处理解释结果与岩芯分析资料对比，验证了方法的可行性和准确性。

Fine Logging Interpretation Method of Tight Gas Reservoir inSulige Gas Field

Sulige Gas Field in Ordos Basin is the typical representation of tight sand gas reservoir of low permeability. Accordingto the shapes of capillary pressure curves of core samples，based on self-organizing neural network，the pore structureautomatic discrimination models and permeability interpretation models were established，which highly improved the permeabilitycalculation precision. According to the research of reservoir conducting mechanism，we adopted the“three water model”（clay water，micro pore water and free water）for saturation interpretation model，which effectively improved the gas evaluationprecision. Actual log data were processed with this method and its feasibility and veracity are validated by comparing theprocessed result with the core analysis result.