IMA/PIMS Hot Topics Workshop on Hydraulic Fracturing
Topic
Speakers
Details
The past two decades have witnessed an enormous expansion of hydraulic fracturing (HF) in the subsurface; in particular, as it pertains to the stimulation of gas-rich shales formations. To date, however, concerns persist as to whether hydraulic fractures could breach the impermeable barriers that isolate aquifers from the hydrocarbon-bearing formations, thus jeopardizing the supply of fresh groundwater, and whether they could induce significant seismic events. Questions are also mounting as to whether the engineering process has been designed to optimize the recovery of hydrocarbons and geothermal energy. The lack of simulation tools to realistically predict the geometry and hydraulic conductivity of the created fractures, and of effective techniques to characterize such fractures from in-situ measurements, is fueling these concerns.
Despite a long series of investigations on the subject since the 1950s, it is only over the last two decades that a coherent understanding of the critical mechanisms at play has emerged. Moreover, technical issues brought about by the strong nonlinearity of the governing equations, due in part to the fluid-solid coupling, as well as those by the moving boundary nature of the problem, have hindered the development of efficient computational algorithms to simulate: (i) the propagation of hydraulic fractures in complex media, and (ii) the transport of proppant particles that are added to the injected fluid to create a permeable pathway for hydrocarbon.
The theory and applications of inverse problems (IP) have long made a silent imprint in science and technology as a critical tool in establishing the link between physical reality and its mathematical model. The need for considering the “inverse” side of the coin is especially pressing in the context of HF applications where mathematical and computational models are deployed to describe a complex multi-physics process, often evolving kilometers beneath the earth’s surface where only a limited amount of sensory data are available. To complicate the problem further, the data on the process are often multi-modal and may include diverse sets, such as (active or passive) seismic signals, inclinometer measurements, and information on the flow rate of the fracturing fluid. Among a diverse array of pressing inverse HF problems to be tackled are: (i) geometric reconstruction of an evolving fracture surface, (ii) quantifying the distribution of proppant therein, and (iii) tracking the movement of fluid through a fractured rock mass.
Despite the clear need, interaction between the HF and IP communities has been limited at best. In this spirit, the intent of this workshop is to initiate and foster the synergy between the two groups, with an emphasis on exposing the IP community to a new class of applications while highlighting the importance of system characterization among HF researchers.
Additional Information
Tentative List of Speakers:
- Guillaume Bal (Columbia University)
- Marc Bonnet (École Polytechnique)
- Liliana Borcea (Rice University)
- Blaise Bourdin (Louisiana State University)
- Andrew Bunger (University of Pittsburgh)
- Margaret Cheney (Colorado State University)
- Andrei Constantinescu (École Polytechnique)
- Vladimir Druskin (Schlumberger-Doll)
- Michael Fehler (Massachusetts Institute of Technology)
- Thomas Fries (Technische Universität Graz)
- Dmitry Garagash (Dalhousie University)
- Lisa Gordeliy (Schlumberger-Doll)
- Sylvie Granet (Electricite de France (EDF))
- Houssem Haddar (École Polytechnique)
- Armin Lechleiter (Universität Bremen)
- John Lister (University of Cambridge)
- Alison Malcolm (Memorial University of Newfoundland)
- Peter Monk (University of Delaware)
- Shari Moskow (Drexel University)
- Jon Olson (University of Texas, Austin)
- Anthony Peirce (University of British Columbia)
- Anthony Peirce (University of British Columbia)
- James Rice (Harvard University)
- Serge Shapiro (Freie Universität Berlin)
- Matias Zielonka (ExxonMobil)
Workshop co-sponsored by PIMS with generous support from Schlumberger-Doll Research.