Development of Proxy Model for Hydraulic Fracturing and Seismic Wave Propagation Processes
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Characterization of discrete fracture networks is necessary for unconventional reservoir development, as they control the flow of fluids toward the hydraulically fractured well. Interpretation of microseismic data provides information about the discrete fracture network in the vicinity of a well. While microseismic interpretation is currently based on plotting the swarm of microseismic events, the inference of fracture-related information from such data is likely to be non-unique. To address this non-uniqueness, the presented workflow involves applying a forward model that produces a synthetic seismogram corresponding to a suite of natural fractured reservoir models. The characteristics of the generated seismograms can be compared with the observed seismogram to determine the suite of fracture models that best reflect the observed seismic signature. The available full physics models are computationally expensive and cannot be applied within this framework. Hence, a proxy model is developed that is computationally inexpensive so that it can be applied on a large ensemble of models within the Bayesian model selection framework described above. Seismic wave propagation during a fracturing job involves many intermediate processes such as diffraction and reflection. As analytical solutions for most of these processes exist, a coupled analytical model is proposed. Firstly, a hydraulic fracture propagation model is coupled with a model for the interaction between a hydraulic fracture and a natural fracture. This interaction results in slip events along natural fractures that in turn can trigger a seismic event. With knowledge of the location of the slip event, a Green’s function solution is applied to model the propagation of the seismic wave. Using the results from the slip event and Green’s function, a synthetic seismogram is generated. Finally, the seismic signature from multiple slip events along several natural fractures is combined. Validation of individual elements of the coupled proxy model to experiments is shown. A comparison of the developed proxy model with more computationally expensive models is also performed.
KeywordsProxy modeling Microseismic Fracture propagation Seismic wave propagation
Support from NSF in the form of Grant UP60D60 is gratefully acknowledged. Funding was provided by the Directorate for Computer and Information Science and Engineering.
- Aki K, Richards PG (2002) Quantitative seismology. University Science Books, SausalitoGoogle Scholar
- Blanton TL (1982) An experimental study of interaction between hydraulically induced and pre-existing fractures. In: SPE unconventional gas recovery symposium, Society of Petroleum EngineersGoogle Scholar
- Detournay E, Peirce A, Bunger A (2007) Viscosity-dominated hydraulic fractures. In: 1st Canada-US rock mechanics symposium, American Rock Mechanics AssociationGoogle Scholar
- Economides MJ, Nolte KG (1989) Reservoir stimulation, vol 2. Prentice Hall, Englewood CliffsGoogle Scholar
- Gu H, Weng X, Lund JB, Mack MG, Ganguly U, Suarez-Rivera R (2012) Hydraulic fracture crossing natural fracture at nonorthogonal angles: a criterion and its validation. SPE Prod Oper 27(01):20–26Google Scholar
- Khristianovic S, Zheltov Y (1955) Formation of vertical fractures by means of highly viscous liquid. In: 4th world petroleum congress, World Petroleum CongressGoogle Scholar
- Mangrove (2017) Petrel simulation suite. Schlumberger, HoustonGoogle Scholar
- Potluri N, Zhu D, Hill A D (2005) The effect of natural fractures on hydraulic fracture propagation. In: SPE European formation damage conference, society of petroleum engineersGoogle Scholar
- Warpinski N, Abou-Sayed I, Moschovidis Z, Parker C (1993) Hydraulic fracture model comparison study: complete results. Technical report, Sandia National Labs., Albuquerque, NM (United States); Gas Research Inst., Chicago, IL (United States)Google Scholar