黄小鹏, 杨占龙, 张兆辉, 等. 烃源岩地化参数的测井反演——以雅布赖盆地小湖次凹侏罗系新河组下段为例[J]. 煤炭学报, 2020, 45(S1): 415-426. DOI: 10.13225/j.cnki.jccs.2019.1521
引用本文: 黄小鹏, 杨占龙, 张兆辉, 等. 烃源岩地化参数的测井反演——以雅布赖盆地小湖次凹侏罗系新河组下段为例[J]. 煤炭学报, 2020, 45(S1): 415-426. DOI: 10.13225/j.cnki.jccs.2019.1521
HUANG Xiaopeng, YANG Zhanlong, ZHANG Zhaohui, et al. Logging inversion geochemical parameters of hydrocarbon source rocks:A case study of Jurassic lower Xinhe Formation in Xiaohu sub-sag,Yabulai Basin[J]. Journal of China Coal Society, 2020, 45(S1): 415-426. DOI: 10.13225/j.cnki.jccs.2019.1521
Citation: HUANG Xiaopeng, YANG Zhanlong, ZHANG Zhaohui, et al. Logging inversion geochemical parameters of hydrocarbon source rocks:A case study of Jurassic lower Xinhe Formation in Xiaohu sub-sag,Yabulai Basin[J]. Journal of China Coal Society, 2020, 45(S1): 415-426. DOI: 10.13225/j.cnki.jccs.2019.1521

烃源岩地化参数的测井反演——以雅布赖盆地小湖次凹侏罗系新河组下段为例

Logging inversion geochemical parameters of hydrocarbon source rocks:A case study of Jurassic lower Xinhe Formation in Xiaohu sub-sag,Yabulai Basin

  • 摘要: 泥岩烃源岩地层中差异压实和生烃增压致使异常高压普遍存在。为了避免烃源岩评价中声波时差去压实校正产生的较大误差,以实测TOC含量为模型检验依据,基于岩石有机质的测井岩石物理响应机理及曲线特征,分析发现自然伽马曲线对有机质的响应比较明显且不受地层压实的影响,与深电阻率曲线重叠可以获得较高准确度的有机碳含量,并通过多元非线性回归构建了有机碳含量测井反演模型,并分别从有机碳含量分布和地层压实角度,进行了误差分析。结果表明:模型反演TOC结果的整体误差小,在优质烃源岩地层(TOC>1%)的反演误差明显小于传统方法,在差烃源岩地层(TOC<1%)相差不大;在中-强超压带(剩余压力>15 MPa)反演结果较传统方法更加可靠,在弱超压带(剩余压力<15 MPa)二者相差无几。进一步根据自然伽马与深电阻率曲线的叠合距离分别建立了生烃潜量、氢指数的测井反演模型,同时基于深度与热解最大峰温数学统计关系获得热解最大峰温剖面,然后综合利用测井反演的有机碳含量、生烃潜量、热解最大峰温及氢指数,定量评价干酪根类型及有机质丰度,明确各地球化学参数的纵向连续非均质性特征,最后结合烃源岩质量评价标准,解释出单井地层剖面中优质烃源岩的发育厚度。

     

    Abstract: The abnormal high pressure is common in the source rock of mudstone because of differential compaction and hydrocarbon generation. In order to avoid the significant error caused by the sonic decompaction correction in hydrocarbon source rock evaluation,it was found that the response of natural gamma logging is obvious for organic and is not affected by formation compaction based on the logging rock physical response mechanism and the curve response characteristics. Therefore the organic carbon content of hydrocarbon source rocks can be better obtained than that using traditional methods by the congruent natural gamma and deep resistivity curve. Meanwhile the inversion model of organic carbon content was established by multiple nonlinear regressions. According to the organic carbon content distribution and the formation compaction degree,the inversion model error on organic carbon content was analyzed taking the determined TOC data as the model check normal. Results show that the accuracy of inversion results on organic carbon content is high,especially it is significantly higher than that using traditional methods on the rich quality hydrocarbon source rock (TOC> 1%),and has not significant difference on the poor quality hydrocarbon source rock(TOC< 1%). On the other hand,the inversion result is more reliable than that of traditional methods in the medium and strong abnormal pressure hydrocarbon source rock (surplus pressure> 15 MPa),and there are no significant discrepancies on the normal and slight abnormal pressure (surplus pressure< 15 MPa). Then,according to the congruent distance between natural gamma ray curve and deep resistivity curve,the log inversion models of hydrocarbon generation potential and hydrogen index were established respectively,and at the same time,the base was set up. The maximum peak temperature profile of pyrolysis can be obtained from the mathematical statistical relationship between depth and maximum peak temperature of pyrolysis. Then the kerogen type and organic matter abundance can be quantitatively evaluated by using the organic carbon content,hydrocarbon generation potential,maximum peak temperature of pyrolysis and hydrogen index retrieved from logging data,and the vertical continuous heterogeneity characteristics of geochemical parameters can be defined. Finally,according to the quality evaluation criteria of hydrocarbon source rocks,the developed thickness of high quality source rocks at stratigraphic sections in single well can be interpreted.

     

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