FRACGENTM Stochastically Generates Fracture Networks Consistent with Data
Duane H. Smith, Mark L. McKoy, and Edward J. Boyle
National Energy Technology Laboratory, Morgantown, WV 26507-0880
FRACGENTM generates fracture networks for highly fractured
reservoirs (< 60,000 fractures) consistent with field data (e.g., outcrop data,
fmi and other logs) and a geologist’s intuition. It uses four Boolean
models of
increasing complexity through a Monte Carlo process that samples statistical
distributions for various network attributes of each fracture set as found from
the data. Three models account for hierarchical relations among fracture sets,
and two generate fracture swarming. Termination/intersection frequencies may be
controlled implicitly or explicitly. The code also is being upgraded to allow
specification of fractal properties for the fracture network. FRACGEN provides
an output file that specifies length, orientation, and effective aperture for
each fracture. This output file can be used by a unique reservoir engineering
code, NFFLOW, to perform reservoir engineering studies for geologic
sequestration of carbon dioxide. This presentation describes use of FRACGEN to
describe a reservoir in the Oriskany Sandstone in West Virginia.
AAPG Search and Discovery Article #90059©2006 AAPG Eastern Section Meeting, Buffalo, New York