陕西铜川地区油页岩含油率测井评价方法

油页岩是一种重要的非常规油气资源,油页岩的含油率是油页岩工业品质评价中最重要的参数之一。目前,油页岩含油率主要是通过对岩芯的实验室测定来获取,受取芯和测试成本影响,可利用的含油率数据十分有限,且由离散样品获得的含油率数据难以准确反映强非均质性的有机质在地层中的准确分布。油页岩具有典型的测井曲线特征,利用测井资料估算油页岩含油率,可以在较低的经济成本基础上获得更多且连续性好的数据。通过铜川地区油页岩探井的测井与有机碳、含油率资料,结合ΔlogR方法,初步建立了油页岩有机碳(TOC)质量分数和含油率(ω)解释模型,对油页岩层段进行了识别和有机碳和含油率解释计算,通过对比验证取得了较好的效果,为利用研究区大量石油测井资料进行油页岩工业评价提供了方法和依据。

Logging evaluation method for oil-bearing rate of oil shale in Tongchuan area of Shaanxi

Oil shale is an important unconventional petroleum resource. Oil-bearing rate, one of the most important parameters for evaluating oil shale, is mainly measured by laboratory analysis of core samples nowadays. Oil-bearing rate is rare due to the cost of coting and testing, and the ones obtained from discrete samples hardly reflect accurate distribution of strong heterogeneous organic matter. Consid- ering typical well logging curves of oil shale, continuous oil-beating rate can be economically obtained by estimating logging data. The relationship between total organic carbon （TOC） and oil content （to） is proposed by the synthesizing of well logging, organic carbon, and oil-bearing rate of oil shale and apply- ing AlogR method. The model of the relationship yields effective results when identifying oil shale beds, computing organic carbon and oil bearing rate, and therefore advances industry evaluation of oil shale with abundant oil well logging data in research area.