Permeability of Organic-rich Shale Conference Paper uri icon

abstract

  • Abstract Measured permeability of an organic-rich shale sample vary significantly with applied laboratory conditions, such as the confining pressure, temperature and the measurement fluid type. This indicates that the measured quantity is influenced by several mechanisms that add complexity to the measurement. The complexity is mainly due to stress dependence of the matrix permeability. Also, it is due to the fact that organic-rich shale holds significant volumes of fluids in sorbed (adsorbed, dissolved) states, sorption can also influence the permeability through its own storage and transport mechanisms. The stress-dependence and sorption effects on permeability could develop under the reservoir conditions and influence the production, although we currently do not have a predictive permeability model that considers their co-existence. In this work this is accomplished by considering that the shale matrix consists of multiple continua with organic and inorganic pores. Stress-dependency of the permeability comes along with slit-shape inorganic pores, whereas the sorption effects are associated with nano-scale organic capillaries. A simple conceptual flow model with an apparent shale permeability is developed that couples the molecular transport effects of the sorbed phase with the stress-dependence of the inorganic matrix. Sensitivity analysis on the new permeability model shows that the stress-dependence of the overall transport is significant at high pore pressure, when the effective stress is relatively low. Diffusive molecular transport of the sorbed phase becomes important as the stress gets larger and, hence, the inorganic pores close. The constructed apparent permeability versus pore pressure curves show the dominance of the molecular transport as permeability improvement characterized by appearance of a minimum permeability value at the intermediate values of the pressure. The new permeability model can be used easily in history-matching a well performance and optimizing its production.

name of conference

  • All Days

published proceedings

  • All Days

author list (cited authors)

  • Wasaki, A., & Akkutlu, I. Y.

citation count

  • 40

complete list of authors

  • Wasaki, Asana||Akkutlu, I Yucel

publication date

  • October 2014