Use of Dynamic Pore Network Modeling to Improve Our Understanding of Experimental Observations in Viscous Oil Displacement by Polymers

2020 ◽  
Author(s):  
Iselin Cecilie Salmo ◽  
Nematollah Zamani ◽  
Tormod Skauge ◽  
Ken Sorbie ◽  
Arne Skauge
Keyword(s):  
Network Modeling ◽  
Pore Network ◽  
Pore Network Modeling ◽  
Oil Displacement ◽  
Viscous Oil ◽  
Dynamic Pore Network

Dynamic pore-network modeling of air-water flow through thin porous layers

2019 ◽  
Vol 202 ◽  
pp. 194-207 ◽  
Author(s):  
Chao-Zhong Qin ◽  
Bo Guo ◽  
Michael Celia ◽  
Rui Wu
Keyword(s):  
Water Flow ◽  
Network Modeling ◽  
Pore Network ◽  
Pore Network Modeling ◽  
Porous Layers ◽  
Flow Through ◽  
Dynamic Pore Network

Pore Network Modeling of a Polymer Flooding Microscopic Seepage Mechanism

2011 ◽  
Vol 29 (17) ◽  
pp. 1803-1810 ◽  
Author(s):  
C. Z. Sun ◽  
H. Q. Jiang ◽  
J. J. Li ◽  
S. J. Ye
Keyword(s):  
Network Modeling ◽  
Pore Network ◽  
Polymer Flooding ◽  
Pore Network Modeling

Relationship between Residual Saturations and Wettability using Pore-Network Modeling

2021 ◽  
Author(s):  
Prakash Purswani ◽  
Russell T. Johns ◽  
Zuleima T. Karpyn
Keyword(s):  
Contact Angle ◽  
Oil Recovery ◽  
Network Modeling ◽  
Pore Network ◽  
Residual Oil ◽  
Residual Saturation ◽  
Oil Saturation ◽  
Pore Network Modeling ◽  
Residual Oil Saturation ◽  
Eor Processes

Abstract The relationship between residual saturation and wettability is critical for modeling enhanced oil recovery (EOR) processes. The wetting state of a core is often quantified through Amott indices, which are estimated from the ratio of the saturation fraction that flows spontaneously to the total saturation change that occurs due to spontaneous flow and forced injection. Coreflooding experiments have shown that residual oil saturation trends against wettability indices typically show a minimum around mixed-wet conditions. Amott indices, however, provides an average measure of wettability (contact angle), which are intrinsically dependent on a variety of factors such as the initial oil saturation, aging conditions, etc. Thus, the use of Amott indices could potentially cloud the observed trends of residual saturation with wettability. Using pore network modeling (PNM), we show that residual oil saturation varies monotonically with the contact angle, which is a direct measure of wettability. That is, for fixed initial oil saturation, the residual oil saturation decreases monotonically as the reservoir becomes more water-wet (decreasing contact angle). Further, calculation of Amott indices for the PNM data sets show that a plot of the residual oil saturation versus Amott indices also shows this monotonic trend, but only if the initial oil saturation is kept fixed. Thus, for the cases presented here, we show that there is no minimum residual saturation at mixed-wet conditions as wettability changes. This can have important implications for low salinity waterflooding or other EOR processes where wettability is altered.

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