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烃源岩的非均质性、动力学模型中频率因子的不确定性、热模拟实验条件(开放/封闭程度、加水与否、升温速率)以及热模拟实验的再现性都将影响有机质成烃动力学模型参数,进而影响油气资源潜力评价结果的可信度.对此,从多个盆地不同类型有机质样品(18块)的开放体系(Rock-Eval)热模拟实验入手,选取SFF模型和MFF模型来描述不同类型有机质样品成烃动力学特征,对比地质外推结果的差异性.其中采用SFF模型低估了具有较低和较高活化能有机质的生烃潜力(反应分数),而采用MFF模型可以避免这一问题,同时频率因子随活化能的升高而升高,能有效解决频率因子不确定性的问题.同时采用算术平均法和依据S2加权平均法对不同类型样品的动力学参数求取平均动力学参数,并以3.3℃/Ma的升温速率进行外推,对比分析了不同类型有机质外推结果的差异性.最后,通过对两种模型依据S2加权平均法获得的动力学参数在松辽盆地黑鱼泡凹陷实际应用表明,应用MFF模型计算得出的生烃门限深度为1 700 m,与前人研究结论一致.表明采用MFF模型和S2加权平均法获得的动力学参数进行资源评价具有较高可信度.
The heterogeneity of source rocks, the uncertainty of the frequency factors in the kinetic model, the thermal simulation experimental conditions (openness / confinement, water addition or not, heating rate) and the reproducibility of the thermal simulation experiment all affect the hydrocarbon formation Kinetic model parameters, which in turn affect the reliability of the evaluation results of hydrocarbon potential.From the Rock-Eval thermal simulation experiment of different types of organic matter samples (18 blocks) in several basins, the SFF model and MFF Model to describe the hydrocarbon generation kinetics characteristics of different types of organic matter samples and to compare the difference of geological extrapolation results, in which the SFF model underestimates the hydrocarbon generation potential (reaction fraction) of organic matter with lower and higher activation energy, and adopts the MFF model This problem can be avoided and the frequency factor increases with the increase of activation energy, which can effectively solve the problem of the uncertainty of the frequency factor.At the same time, using arithmetic mean method and S2 weighted average method to calculate the kinetic parameters of different types of samples The average kinetic parameters were taken and extrapolated at a heating rate of 3.3 ℃ / Ma, and the differences of extrapolation results of different types of organic matter were analyzed.Finally, The practical application of the kinetic parameters obtained by the S2-weighted average method in the Blackfish depression in the Songliao Basin shows that the threshold depth of hydrocarbon generation calculated by the MFF model is 1 700 m, which is consistent with previous conclusions, indicating that MFF model and S2 The weighted average method to obtain the dynamic parameters of resource evaluation has a higher credibility.