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本文提出一种确定储集层的孔隙度、流体饱和度(通过韦克斯曼—斯米茨方程)、产能与粘土类型的数字测井评价方法。采用的基本解释原理是根据各种粘土矿物的阳离子交换能力CEC、束缚水体积和干粘土骨架的含氢指数HI的变化以及由此产生的中子测井与密度测井的不同响应。Q_v是根据普通自然伽马测井和自然伽马能谱测井资料确定的。从测井资料导出的数据还包括储集层的总孔隙度、有效孔隙度、流体分布、粘土和粉砂的体积和粘土分布形式,CEC,Q_v,HI以及CEC/HI比值。后者用来区分不同的粘土,特别是用于区分膨胀型粘土与非膨胀型的粘土。文章用现场实例(包括岩心分析资料)来说明所建议的方法。
This paper presents a numerical logging evaluation method that determines reservoir porosity, fluid saturation (via the Wexman-Schmitz equation), productivity and clay type. The basic explanation used is based on the CEC of the various clay minerals, the volume of bound water, the change of the hydrogen index HI of the dry clay skeleton, and the different responses of the neutron and density logs. Q_v is based on logs from normal gamma ray and gamma ray spectroscopy. Data derived from well logs also include total porosity, effective porosity, fluid distribution, volume of clay and silt, and clay distribution, CEC, Q_v, HI, and CEC / HI ratios. The latter is used to distinguish between different clays, especially for distinguishing between expanded and non-expanded clays. The article uses field examples (including core analysis data) to illustrate the proposed method.