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镜质体反射率与最高温度及其附近温度变化率的关系——几种镜质体反射率计算模型的比较

Relations between vitrinite reflectance,peak temperature and its neighboring temperature variation rate: A comparison of methods

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【作者】 王玮周祖翼于鹏

【Author】 WANG Wei,ZHOU Zu-Yi,YU PengState Key Laboratory of Marine Geology,Tongji University,Shanghai 200092,China

【机构】 同济大学海洋地质国家重点实验室同济大学海洋地质国家重点实验室 上海200092上海200092上海200092

【摘要】 对常用的Waples、Middleton及Easy%Ro模型,通过蒙特卡罗方法,得到了相应的简化模型.所有简化模型均表明镜质体反射率(Ro)主要受控于最高温度(Tmax),并且与最高温度附近的温度变化率(Hr)有关.通过对简化模型的比较发现:(1)相对于Easy%Ro模型而言,Waples、Middleton模型对Hr的变化更为敏感;(2)总的来讲,达到相同的Ro值Middleton模型需要的温度最高,Easy%Ro模型其次,Waples模型需要的温度最低.在一定条件下,根据简化模型,利用实测的lnRo-H数据可以求取地层经历的最高温度及相应的地温梯度、热流和时间.实例分析表明岩石热导率等数据的准确性直接影响Ro解释的结果,但这种影响容易分析,而Hr的不确定性则导致多解性.

【Abstract】 Simplified models for three existing VR models(i.e.Middleton model,Waples model and Easy%R-o model) are obtained through the Monte Carlo Method.These simplified models show that the VR value is mainly determined by peak temperature(T-(max)),and is related to the temperature variation rate around the peak temperature(H-r).By comparing these simplified models,it is found that the Waples model and Middleton model are more sensitive to H-r than the Easy%R-o model,and,for the same value of VR,the Middleton model predicts the highest peak temperatures,Waples model the lowest and Easy%R-o model in between.These simplified models can be employed to interpret real VR data set to obtain the peak temperature that a stratum has experienced since deposition,and the thermal gradient,heat flow and time when the stratum experienced this peak temperature.Interpretation of VR data from the Inigok 1 well in the North Slope in Alaska indicates that poorly constrained data,such as thermal conductivity,may lead to errors.But these errors can be analyzed and quantified.However,the uncertainties of H-r may lead to non-uniqueness in the interpretation.

【基金】 国家重点基础研究发展规划项目(G2000078500);国家自然科学基金(40272093,40321603)资助
  • 【文献出处】 地球物理学报 ,Chinese Journal of Geophysics , 编辑部邮箱 ,2005年06期
  • 【分类号】P53;P618.13;
  • 【被引频次】36
  • 【下载频次】1113
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