Summary
Hydraulic fracturing in shale-gas reservoirs has often resulted in
complex-fracture-network growth, as evidenced by microseismic monitoring. The
nature and degree of fracture complexity must be understood clearly to optimize
stimulation design and completion strategy. Unfortunately, the existing
single-planar-fracture models used in the industry today are not able to
simulate complex fracture networks.
A new hydraulic-fracture model is developed to simulate
complex-fracture-network propagation in a formation with pre-existing natural
fractures. The model solves a system of equations governing fracture
deformation, height growth, fluid flow, and proppant transport in a complex
fracture network with multiple propagating fracture tips. The interaction
between a hydraulic fracture and pre-existing natural fractures is taken into
account by using an analytical crossing model and is validated against
experimental data. The model is able to predict whether a hydraulic-fracture
front crosses or is arrested by a natural fracture it encounters, which leads
to complexity. It also considers the mechanical interaction among the adjacent
fractures (i.e., the "stress shadow" effect). An efficient numerical scheme is
used in the model so it can simulate the complex problem in a relatively short
computation time to allow for day-to-day engineering design use.
Simulation results from the new complex-fracture model show that stress
anisotropy, natural fractures, and interfacial friction play critical roles in
creating fracture-network complexity. Decreasing stress anisotropy or
interfacial friction can change the induced-fracture geometry from a biwing
fracture to a complex fracture network for the same initial natural fractures.
The results presented illustrate the importance of rock fabrics and stresses on
fracture complexity in unconventional reservoirs. These results have major
implications for matching microseismic observations and improving fracture
stimulation design.
© 2011. Society of Petroleum Engineers
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History
- Original manuscript received:
11 February 2010
- Meeting paper published:
25 January 2011
- Revised manuscript received:
12 July 2011
- Manuscript approved:
10 September 2011
- Published online:
25 October 2011
- Version of record:
22 November 2011