Kinetic simulation of hydrocarbon generation from lacustrine type I kerogen from the Songliao Basin: Model comparison and geological application
Kinetic simulation of hydrocarbon generation from lacustrine type I kerogen from the Songliao Basin: Model comparison and geological application
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松辽盆地湖相Ⅰ型干酪根生烃动力学模拟：模型对比与地质应用
DOI：
10.1016/j.marpetgeo.2011.07.004
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发表时间：
2011-09
影响因子：
4.2
通讯作者：
xue haitao
中科院分区：
文献类型：
--
作者：
wang m;lu shuangfang;xue haitao
利用Rock-Eval设备对松辽盆地8个湖相I型干酪根样品进行热解，采用单频率因子离散活化能分布模型（SFF模型）和多频率因子离散活化能分布模型（MFF模型）并行一级反应模型对I型干酪根样品生烃动力学特征进行分析。结果表明，MFF和SFF模型能够较好地模拟实验室条件下的生烃情况，I型干酪根表现出相对集中的活化能分布（MFF模型的活化能范围为190 kJ/mol～250 kJ/mol，SFF模型的活化能范围为220 kJ/mol～240 kJ/mol），表明I型干酪根具有均质的化学键结构。使用具有线性加热速率 (3.3 K/Ma) 的两个模型计算 I 型干酪根的生烃曲线。这表明对于具有较低和较高活化能化学键的组分，使用SFF模型低估了干酪根热降解过程中的生烃潜力（反应分数），而使用MFF模型可以避免这个问题。所有样品 50% 转化率 (TR) 的计算温度相差高达 20 °C。对于SFF模型来说，利用加权平均动力学参数得到的生烃曲线，SFF模型几乎包含了利用自身动力学参数计算的每条曲线。虽然利用加权平均动力学参数和MFF模型得到的曲线不能包含所有样品的每条曲线，但它位于所有样品的平均曲线的位置。 MFF模型在松辽盆地的应用表明，若以TR 10%作为生烃起点，生烃阈值深度约为1700 m，与S1/TOC、S1/(S1+S2)、HC/TOC等其他地球化学参数一致。
Eight lacustrine Type I kerogen samples from the Songliao Basin were pyrolyzed using the Rock-Eval equipment, and parallel first-order reaction models including the model with a single frequency factor and a discrete distribution of activation energies (SFF model) and the model with multiple frequency factors and a discrete distribution of activation energies (MFF model) were adopted to analyze kinetic characteristics of hydrocarbon generation of the Type I kerogen samples. The results show that the MFF and SFF models can satisfactory simulate hydrocarbon generation under laboratory conditions and the Type I kerogen shows relatively concentrated activation energy distributions (activation energies of MFF model range from 190 kJ/mol to 250 kJ/mol, activation energies of SFF model range from 220 kJ/mol to 240 kJ/mol), which indicates a homogeneous chemical bond structure of the Type I kerogen. The hydrocarbon generated curves from Type I kerogen were calculated by using the two models with a linear heating rate (3.3 K/Ma). It indicates that the hydrocarbon generation potentials (reaction fractions) are underestimated by using the SFF model during the kerogen thermal degradation for the components with chemical bond of lower and higher activation energies, while this problem can be avoided by using the MFF model. The calculated temperatures for 50% transformation ratio (TR) of all samples differ by as much as 20 °C. For the SFF model, the hydrocarbon generation curve obtained by using the weighted averaged kinetic parameters and the SFF model almost includes every curve calculated by using its own kinetic parameters. While the curve obtained by using the weighted averaged kinetic parameters and the MFF model cannot include every curve for all samples, it lies at the position of the averaged curve of all samples. The application of the MFF model in Songliao Basin shows that if TR 10% is taken as the onset of hydrocarbon generation, the threshold depth of hydrocarbon generation is about 1700 m, which is consistent with other geochemical parameters, such as S1/TOC, S1/(S1+ S2) and HC/TOC.
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影响因子：
3.9
作者：
D. Jarvie
通讯作者：
D. Jarvie
影响因子：
3
作者：
U. C. Klomp;P. Wright
通讯作者：
U. C. Klomp;P. Wright
影响因子：
3
作者：
E. Tegelaar;R. A. Noble
通讯作者：
E. Tegelaar;R. A. Noble
影响因子：
3.2
作者：
Feng Zhiqiang;Z. Shun;T. Cross;Feng Zi-hui;Xie Xinong;Zhao Bo;Fu Xiu-li;Wang Chengshan
通讯作者：
Feng Zhiqiang;Z. Shun;T. Cross;Feng Zi-hui;Xie Xinong;Zhao Bo;Fu Xiu-li;Wang Chengshan
影响因子：
3
作者：
J. Rullkötter;R. Marzi
通讯作者：
J. Rullkötter;R. Marzi