Hydrocarbons Recovery From Model-Kerogen Nanopores Academic Article uri icon

abstract

  • Copyright © 2017 Society of Petroleum Engineers. Existing strategies for oil and gas recovery are designed on the basis of macroscopic properties of the produced hydrocarbon fluids. However, recent studies on source rocks revealed that properties of fluids stored in nanopores of the organic constituent material kerogen deviate from the bulk behavior. Hence, the traditional equation-of-state (EOS) and fluid-properties correlations are no longer applicable. This, in turn, leads to added uncertainties in hydrocarbon-in-place and recovery calculations for the source rocks that are rich in kerogen. In this paper, we seek to address the question at a fundamental level from the thermodynamics standpoint by simulating isothermal expansion of a quinary hydrocarbon mixture in a model nanopore under typical subsurface conditions, and measuring the fluid composition and amount. Molecular Monte Carlo simulations are used to investigate the equilibrium relationship between the bulk fluid at the outside of the pore and the remaining mixture inside during the stages of pressure depletion. The fluid stored in nanopores shows a composition that varies significantly with the pore size. The smaller the pore is, the heavier becomes the mixture that is in equilibrium with the bulk fluid. During the depletion, the small hydrocarbon molecules escape readily from the pores. The composition of the remaining fluid inside the pore thus becomes progressively heavier and viscous. We show that nanopore confinement significantly limits the release of hydrocarbon molecules from the pores with sizes smaller than 10 nm. For each hydrocarbon component, a strong correlation exists between molar fractions of the component in the produced fluid with that which remained inside the pore. This correlation can serve in future studies as the basis for establishing alternative methods for reservoir-engineering calculations, such as the ultimate recovery.

author list (cited authors)

  • Bui, K., & Yucel Akkutlu, I.

citation count

  • 22

publication date

  • December 2016