Precisely Reconstruct Porous Media Model Based on Synchrotron Radiation Slice Images

In this paper a method for precisely reconstructing porous media three-dimensional model based on slice images is proposed. It first processes the original slice images, then uses 3D seed filling algorithm to find all pores based on the constructed spatial data, finally uses the modified marching cubes algorithm based on bounding box technology to render material skeletons and pores. Associating with the porous media flow specific application, a novel invalid pore removing method is proposed. The final reconstructed model shows that our method can precisely reconstruct the pore network and recover the pore shape. It also can identify the pores which meet spatial scale threshold conditions. Comparison of running time between the original marching cubes algorithm and the modified marching cubes algorithm is given. It shows that due to the bounding box technology the running time of modified marching cubes algorithm is shorten greatly when the pores are far away from each other.

[1]  Bryant,et al.  Prediction of relative permeability in simple porous media. , 1992, Physical review. A, Atomic, molecular, and optical physics.

[2]  Guirong Liu,et al.  Smoothed Particle Hydrodynamics: A Meshfree Particle Method , 2003 .

[3]  Jun Yao,et al.  A new stochastic method of reconstructing porous media , 2007 .

[4]  M. Blunt,et al.  Pore space reconstruction using multiple-point statistics , 2005 .

[5]  William E. Lorensen,et al.  Marching cubes: A high resolution 3D surface construction algorithm , 1987, SIGGRAPH.

[6]  E LorensenWilliam,et al.  Marching cubes: A high resolution 3D surface construction algorithm , 1987 .

[7]  Balasingam Muhunthan A New Three-Dimensional Modeling Technique for Studying Porous Media , 1993 .

[8]  M. Blunt,et al.  Prediction of permeability for porous media reconstructed using multiple-point statistics. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[9]  James G. Berryman,et al.  Using two‐point correlation functions to characterize microgeometry and estimate permeabilities of sandstones and porous glass , 1996 .

[10]  Kenneth Stuart Sorbie,et al.  RECONSTRUCTION OF MULTI-SCALE HETEROGENEOUS POROUS MEDIA AND THEIR FLOW PREDICTION , 2007 .

[11]  William E. Lorensen,et al.  Marching cubes: a high resolution 3D surface construction algorithm , 1996 .

[12]  I. Fatt The Network Model of Porous Media , 1956 .

[13]  M. Blunt,et al.  SCA2003-09: MULTIPLE-POINT STATISTICS TO GENERATE GEOLOGICALLY REALISTIC PORE-SPACE REPRESENTATIONS , 2003 .

[14]  R. Hazlett Statistical characterization and stochastic modeling of pore networks in relation to fluid flow , 1997 .