Binary Power-Average Effective Permeability Formula
Binary Power-Average Effective Permeability calculates binary power-average effective permeability for permeability workflows in reservoir engineering.
How engineers use this formula
Use this formula when the listed inputs (p_ss, k_ss, k_sh, m_exp) are known and the assumptions behind the cited permeability relationship match the engineering case being checked.
Assumptions
- Input values are representative for the well, reservoir, fluid, or equipment case being evaluated.
- The declared units match the field-unit constants used in the formula.
- The cited formula applies to the selected petroleum engineering workflow.
Limitations
- The calculation does not replace a full engineering model or operating procedure.
- Accuracy depends on the source correlation, assumptions, input quality, and unit consistency.
Common mistakes
- Mixing unit systems without converting the inputs.
- Using default example values as field recommendations.
- Applying the formula outside the source assumptions.
Default example
Using the default inputs, k_eff equals 90.11185 mD.
0.7
200
5
0.25
Inputs
p_ss
fractionSand or High-Permeability Fraction
k_ss
mDSand or High-Permeability Component
k_sh
mDShale or Low-Permeability Component
m_exp
dimensionlessPower-Average Exponent
Outputs
k_eff
Binary Power-Average Effective Permeability
p_ss
Sand or High-Permeability Fraction
k_ss
Sand or High-Permeability Component
k_sh
Shale or Low-Permeability Component
Source and review
reviewedEstimation of the Effective Permeability of Heterogeneous Porous Media by Using Percolation Concepts, Masihi, M., Gago, P.A., King, P.R. (2016)
Masihi, M., Gago, P.A., and King, P.R. 2016. Estimation of the Effective Permeability of Heterogeneous Porous Media by Using Percolation Concepts. Transport in Porous Media 114, 169-199.
Source