A damped iterative EnKF method to estimate relative permeability and capillary pressure for tight formations from displacement experiments

作者：Zhang Yin^*; Song Chengyao; Yang Daoyong

来源：Fuel, 2016, 167: 306-315.

DOI：10.1016/j.fuel.2015.11.040

• Relative permeability
• Capillary pressure
• Iterative ensemble Kalman filter
• Assisted history matching
• Damped method
• Tight formations

A damped iterative EnKF algorithm together with its detailed workflow has been developed and applied to simultaneously estimate relative permeability and capillary pressure for the tight formations by history matching the conventional measurement data from waterflooding experiments. The water-wet core is collected from the Bakken formation, while its porosity and absolute permeability are measured to be 19.85% and 0.21 mD, respectively. More specifically, relative permeability and capillary pressure curves are firstly represented by using the B-spline model whose control knots are transformed into their corresponding pseudo-control knots to be tuned automatically, ensuring the monotonicity of either relative permeability or capillary pressure curves. Then, relative permeability and capillary pressure curves are finally determined by assimilating all of the measurement data from a real coreflooding experiment and history matching them as well. Compared with the initial cases, not only are the uncertainty ranges associated with both the updated relative permeability and capillary pressure curves reduced significantly by assimilating the measurement data, but also uncertainty ranges pertaining to the updated production history profiles have been decreased greatly. In addition, water relative permeability can be determined more accurately than oil relative permeability and capillary pressure owing to its preferential sensitivity to the measurement data.

• 出版日期2016-3-1