Simulation of deformable preformed particle gel propagation in porous media

Preformed particle gel (PPG) treatment is a proven cost-effective method for improving oil recovery. Although PPG system has a suspension-like property, it has different propagation rules from the rigid particle suspension in porous media because of its good deformation property. In this study, an advanced phenomenological model of PPG propagation in porous media is presented. The model includes both PPG plugging and restarting behaviors. Log-normal and normal distribution functions have been introduced in this model to calculate the PPG plugging probability. Power-law equation is used to calculate the PPG restarting rate. This method can represent the commensurate relation between PPG and throat size. Then, the equations are solved numerically, using an explicit finite-difference formulation in conjunction with a fourth-order Runge-Kutta method. The results match favorably with several laboratory experiments. Finally, the propagation rules and sensitivity analysis of PPG size, permeability and injection rate to propagation rules, and permeability reduction are performed. © 2017 American Institute of Chemical Engineers AIChE J, 63: 4628–4641, 2017

[1]  J. Bruining,et al.  Effect of fines migration on oil–water relative permeability during two-phase flow in porous media , 2016 .

[2]  K. Sepehrnoori,et al.  A laboratory and simulation study of preformed particle gels for water conformance control , 2015 .

[3]  Zhen-quan Li,et al.  Enhanced oil recovery by branched-preformed particle gel injection in parallel-sandpack models , 2014 .

[4]  T. Steenhuis,et al.  Pore-scale investigation of micron-size polyacrylamide elastic microspheres (MPEMs) transport and retention in saturated porous media. , 2014, Environmental science & technology.

[5]  F. Civan,et al.  Experimental Investigation and Correlation of Treatment in Weak and High-Permeability Formations by Use of Gel Particles , 2013 .

[6]  Xianchao Chen,et al.  Experimental and Numerical Study of Gel Particles Movement and Deposition in Porous Media After Polymer Flooding , 2013, Transport in Porous Media.

[7]  Mingzhen Wei,et al.  Injecting Large Volumes of Preformed Particle Gel for Water Conformance Control , 2012 .

[8]  Huiqing Liu,et al.  Experimental Investigation on the Filtering Flow Law of Pre-gelled Particle in Porous Media , 2012, Transport in Porous Media.

[9]  A. K. Dahaghi,et al.  A Novel Workflow to Model Permeability Impairment through Particle Movement and Deposition in Porous Media , 2011 .

[10]  Baojun Bai,et al.  Applied Technologies and Prospects of Conformance Control Treatments in China , 2010 .

[11]  R. Wong,et al.  Permeability Reduction in Qishn Sandstone Specimens due to Particle Suspension Injection , 2009 .

[12]  Pavel Bedrikovetsky,et al.  Upscaling of Stochastic Micro Model for Suspension Transport in Porous Media , 2008 .

[13]  F. Civan,et al.  Alteration of permeability by drilling fluid invasion and flow reversal , 2007 .

[14]  P. Bedrikovetsky,et al.  The inverse problem of determining the filtration function and permeability reduction in flow of water with particles in porous media , 2007 .

[15]  Baojun Bai,et al.  Preformed Particle Gel for Conformance Control: Transport Mechanism Through Porous Media , 2007 .

[16]  Pavel Bedrikovetsky,et al.  A stochastic model for filtration of particulate suspensions with incomplete pore plugging , 2007 .

[17]  C. Knudby,et al.  A continuous time random walk approach to transient flow in heterogeneous porous media , 2006 .

[18]  P. Bedrikovetsky,et al.  A Stochastic Model for Particulate Suspension Flow in Porous Media , 2006 .

[19]  D. C. Mays,et al.  Hydrodynamic aspects of particle clogging in porous media. , 2005, Environmental science & technology.

[20]  M. Elimelech,et al.  Comment on breakdown of colloid filtration theory : Role of the secondary energy minimum and surface charge heterogeneities. Commentary , 2005 .

[21]  Prabhata K. Swamee,et al.  Near Lognormal Distribution , 2002 .

[22]  Eugene D. Skouras,et al.  Simulation of the dynamics of depth filtration of non-Brownian particles , 2001 .

[23]  F. Civan Practical model for compressive cake filtration including fine particle invasion , 1998 .

[24]  Mukul M. Sharma,et al.  A Model for Predicting Injectivity Decline in Water-Injection Wells , 1997 .

[25]  M. Corapcioglu,et al.  Cake filtration with particle penetration at the cake surface , 1990 .

[26]  Appiah Amirtharajah,et al.  Some Theoretical and Conceptual Views of Filtration , 1988 .

[27]  Y. Yortsos,et al.  A network model for deep bed filtration processes , 1987 .

[28]  P. Johnston Fluid Filter Media: Measuring the Average Pore Size and the Pore-Size Distribution, and Correlation with Results of Filtration Tests , 1985 .

[29]  R. E. Collins,et al.  Entrainment and Deposition of Fine Particles in Porous Media , 1982 .

[30]  Chi Tien,et al.  Advances in deep bed filtration , 1979 .

[31]  A. Abrams,et al.  Mud Design To Minimize Rock Impairment Due To Particle Invasion , 1977 .

[32]  F. Dullien,et al.  Determination of the Structure of Porous Media , 1970 .

[33]  J. Herzig,et al.  Flow of Suspensions through Porous Media—Application to Deep Filtration , 1970 .

[34]  Tomihisa Iwasaki,et al.  Some Notes on Sand Filtration , 1937 .