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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
引用本文:王玮,周祖翼,于鹏.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[J].地球物理学报,2005,48(6):1375-1383.
作者姓名:王玮  周祖翼  于鹏
作者单位:同济大学海洋地质国家重点实验室,上海,200092;同济大学海洋地质国家重点实验室,上海,200092;同济大学海洋地质国家重点实验室,上海,200092
基金项目: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
摘    要:对常用的Waples、Middleton及Easy%Ro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(Ro)主要受控于最高温度(Tmax),并且与最高温度附近的温度变化率(Hr)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Hr的变化更为敏感;(2)总的来讲,达到相同的Ro值Middleton模型需要的温度最高,Easy%Ro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lnRo-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Ro解释的结果,但这种影响容易分析,而Hr的不确定性则导致多解性.

关 键 词:镜质体反射率  最高温度  温度变化率  蒙特卡罗
文章编号:0001-5733(2005)06-1375-09
收稿时间:2005-02-01
修稿时间:2005-02-012005-06-07

Relations between vitrinite reflectance, peak temperature and its neighboring temperature variation rate: A comparison of methods
WANG Wei,ZHOU Zu-Yi,YU Peng.Relations between vitrinite reflectance, peak temperature and its neighboring temperature variation rate: A comparison of methods[J].Chinese Journal of Geophysics,2005,48(6):1375-1383.
Authors:WANG Wei  ZHOU Zu-Yi  YU Peng
Institution:State Key Laboratory of Marine Geology, Tongji University, Shanghai 200092, China
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.
Keywords:Vitrinite reflectance  Peak temperature  Temperature variation rate  Monte Carlo method
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