提高煤系页岩储层TOC计算精度的改进方法
A method to improve the accuracy of TOC calculation for coal-measure shale reservoirs
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摘要: 总有机碳含量(TOC)是决定烃源岩质量的最重要参数。为了准确评价煤系页岩气储层的TOC参数, 以四川盆地Q区龙潭组C1井海陆过渡相页岩气储层为例, 对提高储层TOC参数计算精度的方法进行了研究。根据研究区的地质特点, 结合自然伽马能谱测井数据, 对原始Δlog R方法进行改进, 形成了基于自然伽马能谱测井的双Δlog R方法。首先, 将岩心TOC数据按岩性分为煤层和非煤层, 然后, 将自然伽马能谱测井数据(钍钾比(Th/K)和钍铀比(Th/U))分别与煤层TOC和非煤层TOC进行相关性分析, 各自选择最高相关性的数据与Δlog R拟合, 计算煤层和非煤层的TOC。结果表明, 基于自然伽马能谱测井的双Δlog R方法和传统方法相比, C1井煤层和非煤层TOC计算相关性最高可以提高到0.78和0.85, 煤层和非煤层TOC的绝对误差最低都可以降到0.01%, 煤层和非煤层TOC的相对误差降低到14.93%和12.53%。将基于自然伽马能谱测井的双Δlog R方法应用于四川盆地S区Y组C2井, 取得了较好的效果。改进的方法适用于研究区页岩气储层黏土含量高, 非均质性强, 且存在黑色煤层的页岩储层, 有效弥补TOC与铀(U)含量无明显相关性的不足, 具有较好的适用性和推广性, 可以有效辅助研究区页岩气储层的勘探开发。Abstract: Total organic carbon (TOC) content is the most important parameter in determining the quality of source rocks. In a case study of a transitional shale gas reservoir in the Longtan Formation at Well C1 in area Q, the Sichuan Basin, our efforts focus on how to improve TOC calculation for coal-measure shale gas reservoirs. Based on the geological characteristics of the study area and natural gamma ray spectral log data, the Δlog R method is modified to formulate a dual Δlog R method based on natural gamma ray spectroscopy logging. The reservoir is lithologically divided into two types: coal seam and non-coal seam, according to core TOC data. Th/K and Th/U correlations with TOC contents in coal seams and non-coal seams are analyzed to select the data with the highest correlations for TOC calculation using Δlog R at coal seams and non-coal seams. The results show improved correlations up to 0.78 and 0.85, decreased absolute errors to 0.01% and 0.01%, and decreased relative errors to 14.93% and 12.53% for TOC calculation at coal seams and non-coal seams, Well C1, respectively compared with the traditional method. The dual Δlog R method based on natural gamma ray spectroscopy logging is also successfully applied to the Y Formation at Well C2 in area S, the Sichuan Basin. The improved method is feasible in the context of high clay content, strong heterogeneity, and black coal seams in the study area; the problem of the low correlation between TOC content and U content could also be solved. This method could be applied to similar prospects and offer technical support to shale gas exploration and production.
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