  The fracture characterization using a geostatistical tool with conditioning
data is a computationally efficient tool for subsurface flow and transport
applications. The main objective of the paper is to propose a framework of
geostatistical method to model the fracture network. In the method, we have
chosen neighborhood area to apply the Gaussian Sequential Simulation in order
to generate the fracture network in the unknown region. The angle was
propagated from the seed where direction is guided by the neighborhood data in
simulation regime. Initial seeds can be distributed by Poisson procedure. The
method is applied for geological faults from the Central Kazakhstan and for
field data from Scotland, UK. The simulation results are compatible with the
original fracture network in the flow and transport modeling setting. From the
research that has been carried out, it is possible to conclude that the
numerical simulation of fracture network is a valuable tool in the subsurface
flow and transport applications.
