Volume 39 Issue 1
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Ping Hongwei, Chen Honghan, Thiéry Régis, 2014. Prediction Model of Petroleum Inclusion Trapping Pressure Constrained by Methane Mole Content. Earth Science, 39(1): 79-90. doi: 10.3799/dqkx.2014.008
Citation: Ping Hongwei, Chen Honghan, Thiéry Régis, 2014. Prediction Model of Petroleum Inclusion Trapping Pressure Constrained by Methane Mole Content. Earth Science, 39(1): 79-90. doi: 10.3799/dqkx.2014.008
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Prediction Model of Petroleum Inclusion Trapping Pressure Constrained by Methane Mole Content

doi: 10.3799/dqkx.2014.008
  • 1.

    Key Laboratory of Tectonics and Petroleum Resources of Ministry of Education, China University of Geosciences, Wuhan 430074, China

  • 2.

    Université Blaise Pascal, Laboratoire Magmas et Volcans, Clermont-Ferrand 63000, France

  • Received Date: 2013-06-11
  • Publish Date: 2014-01-01
    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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