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甲烷摩尔含量约束的石油包裹体捕获压力预测模型
引用本文:平宏伟,陈红汉,Thiéry Régis.甲烷摩尔含量约束的石油包裹体捕获压力预测模型[J].地球科学,2014,39(1):79-90.
作者姓名:平宏伟  陈红汉  Thiéry Régis
作者单位:1.中国地质大学构造与油气资源教育部重点实验室, 湖北武汉 430074
基金项目:国家重点基础研究发展计划"973"项目2012CB214804国家自然科学基金资助项目41202088
摘    要:石油包裹体显微测温和体积分析已经被广泛应用于重构石油包裹体组分和压力-温度(P-T)捕获条件, 然而, 其P-T捕获条件准确预测除精确的均一温度(Thoil)和气泡充填度(Fv)测试外, 还依赖于石油饱和压力和体积预测能力.基于改进石油流体饱和压力和气、液相摩尔体积预测精度, 建立了石油流体C7+组分摩尔含量与其Thoil和室温(20 ℃)下Fv之间的定量关系.尽管利用该定量关系可以极大地简化石油包裹体热动力学模拟过程, 还是不能避免Fv对热动力学模拟精度的影响.因此, 根据大量已知组分石油流体建立了甲烷摩尔含量约束的新的石油包裹体捕获压力预测模型.新模型中唯一变量即为石油包裹体甲烷摩尔含量, 并且不再依赖于专业的热动力学模拟软件(PVTsim、VTflinc、PIT和FIT-OIL), 从而极大地简化了传统石油包裹体捕获压力重构过程.最终, 新模型捕获压力预测精度得到评价, 石油包裹体甲烷摩尔含量对捕获压力重构具有重要控制作用, 单个石油包裹体甲烷含量定量化是未来石油包裹体捕获压力重构的主要研究方向. 

关 键 词:流体    包裹体    甲烷    组分模拟    捕获压力    热动力学
收稿时间:2013-06-11

Prediction Model of Petroleum Inclusion Trapping Pressure Constrained by Methane Mole Content
Abstract:Microthermometry and volumetric analysis have been widely used to reconstruct the composition and pressure-temperature (P-T) trapping conditions of petroleum inclusions. However, a reliable prediction of P-T trapping conditions also depends on accurate prediction of saturation pressure and volume of petroleum in addition to accurate measurements of homogenization temperature (Thoil) and the degree of bubble filling (Fv). Based on the improved prediction accuracy of saturation pressure and gas-liquid phase mole volume of petroleum fluids, the quantitative correlation among C7+ mole fraction and Thoil and Fv has been established. The correlation is still subject to the effect of Fv on the accuracy of petroleum inclusion thermodynamics modeling, although the processes for petroleum inclusion thermodynamics modeling can be largely simplified by using the correlation developed in this paper. So a new methane-constraining model for trapping pressure prediction of petroleum inclusion was developed according to large numbers of known petroleum compositions. The newly developed model has only one variable which is the methane mole fraction of petroleum inclusion and does not depend on professional softwares such as PVTsim, VTflinc, PIT, FIT-OIL and so on. Finally, the accuracy of newly developed model for trapping pressure prediction was tested, and the bulk methane mole fraction is the key control of the trapping pressure reconstruction and future research should be focused on the prediction of methane mole fraction of individual petroleum inclusion. 
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