Discrete Element Modeling (DEM) Improves Fundamental Understanding of Microseismicity Data and Provides Capabilities for Predicting Events
Gil, Ivan1, Marisela Sanchez1, Matt Pierce2, Paul Young3, Sean
Kleiner4
1Itasca Houston, Houston, TX
2Itasca Consulting
Group, Minneapolis, MN
3Applied Seismology Consultants,
Toronto, ON
4Canadian Spirit Resources, Calgary, AB
Microseismic data from hydraulic fracturing field operations
were analyzed using a Discrete Element Model to understand fracture
propagation processes in a complex environment. The case history
presented is a thick gas reservoir package; composed of coal
(adsorbed gas), shale absorbed and free gas), and tight, gas-charged
sands. This rock package is located at rather shallow depths (less than
3000 ft). While the resource is good, economic and optimized
producibility mandates developing an optimized stimulation program.
Current “standard” methods for microseismic interpretation have
limitations such as inherent non-uniqueness, difficulty in identifying
failure mechanisms (tensile vs. shear), the existence of events located
away from the fracture fronts, and also the fact that up to 90% of rock
failure may be aseismic. In the model presented, rock is represented
by an assembly of individual particles that are bonded at their contact
points. Seismic events are generated when these bonds break under
stress and deformation; stored strain energy is transformed into
kinetic energy which is recorded as (micro)seismicity. This model is
capable of replicating not only different failure modes of rock under a
given stress field (shear and tensile events) but the associated seism
locations and amplitudes as well.
Stimulation treatments in the rock package were monitored. The
stimulations have been numerically represented and the location and
chronology of microseismic events have been matched. The
simulations are qualitatively validated by comparing the simulated
seismicity with the actual data. This provides indications of the
effective fracture network extent and the consequent fracture system
conductivity.
AAPG Search and Discovery Article #90071 © 2007 AAPG Rocky Mountain Meeting, Snowbird, Utah