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受强压实作用和较高的导电组分影响,陆相深层烃源岩在孔隙度和电阻率曲线上响应微弱,利用传统ΔLgR技术预测有机碳含量效果很差。针对这一问题,在保留ΔLgR技术具有削弱孔隙度干扰优势的基础上,利用对深层烃源岩响应相对敏感的自然伽马曲线替代传统模型中的成熟度参数,建立了利用自然伽马、声波时差和电阻率测井曲线预测有机碳含量的广义ΔLgR技术,并将其应用于松辽盆地徐家围子断陷深层沙河子组源岩有机碳含量预测。结果表明:广义ΔLgR技术预测得到的徐家围子断陷深层沙河子组烃源岩有机碳含量更符合其实测有机碳的变化趋势,有机碳预测误差比传统方法预测误差平均降低了25.3%。表明广义ΔLgR技术用于预测陆相深层强压实烃源岩有机碳是可行的。
Under the influence of strong compaction and higher conductive components, the response of the deep continental source rocks to porosity and resistivity curves is weak. The prediction of organic carbon content by the traditional ΔLgR technique is poor. In view of this problem, based on the fact that the ΔLgR technique has the advantage of weakening the interference of porosity, the maturity parameter in the traditional model is replaced by the natural gamma curve which is relatively sensitive to the deep source rock response. The generalized ΔLgR technique for predicting organic carbon content by time-lapse and resistivity logs is applied to the prediction of organic carbon content in the source rocks of the deep Shahezi Formation in Xujiaweizi Fault Depression, Songliao Basin. The results show that the organic carbon content of the source rocks of the Shahezi sub-group, which is predicted by the generalized ΔLgR technique, is more in line with the actual measured organic carbon. The forecast error of organic carbon is 25.3% lower than the prediction error of the traditional method. It shows that it is feasible to use generalized ΔLgR technique to predict organic carbon in deep continental compaction source rocks.