• 天然气勘探 • 上一篇
贺聪1,2,苏奥3,张明震1,吴远东1,2,吉利明1
He Cong1,2, So Ao3, Zhang Ming-zhen1, Wu Yuan-dong1,2, Ji Li-ming1
摘要: 尽管通过测井数据预测烃源岩有机碳含量(TOC)具有经济快速的明显优势,但由于不同地区及地层的特殊性,其预测误差限制了该方法的广泛应用。利用前人提出的预测烃源岩TOC含量的自然伽马测井法、体积密度测井法、多元回归分析法和BP神经网络模型,结合鄂尔多斯盆地延长组的地质特征建立了研究区TOC含量预测的经验公式和模型。优选认为BP模型为延长组TOC含量预测精度最高的方法,并将其应用于盆地南部YK1井延长组,得到9 220个样点的TOC值,辨识出4段连续厚度大于10m的有效烃源岩,分别位于长19段、长37段、长27段和长17段,并且长27—长37段为TOC含量最高的优质层段。研究发现,这些有效烃源岩层段均不同程度地发育油页岩,并且同一层段TOC含量预测值在不同地区的钻井中可能出现明显的差异,这与延长组不同沉积时期古湖泊沉积相的分布和差异相一致。
中图分类号:
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