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      Pore-pressure diffusion, enhanced by poroelastic stresses, controls induced seismicity in Oklahoma

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          Significance

          We develop a physics-based earthquake-forecasting model for evaluating seismic hazard due to fluid injection, considering both pore pressure and poroelastic stresses. Applying this model to complex settings like Oklahoma, we show that the regional induced earthquake timing and magnitude are controlled by the process of fluid diffusion in a poroelastic medium, and thus seismicity can be successfully forecasted by using a rate-and-state earthquake nucleation model. We find that pore-pressure diffusion controls the induced earthquakes in Oklahoma. However, its impact is enhanced by poroelastic effects. This finding has significant implications for induced earthquake-forecasting efforts by integrating the physics of fluid diffusion and earthquake nucleation.

          Abstract

          Induced seismicity linked to geothermal resource exploitation, hydraulic fracturing, and wastewater disposal is evolving into a global issue because of the increasing energy demand. Moderate to large induced earthquakes, causing widespread hazards, are often related to fluid injection into deep permeable formations that are hydraulically connected to the underlying crystalline basement. Using injection data combined with a physics-based linear poroelastic model and rate-and-state friction law, we compute the changes in crustal stress and seismicity rate in Oklahoma. This model can be used to assess earthquake potential on specific fault segments. The regional magnitude–time distribution of the observed magnitude (M) 3+ earthquakes during 2008–2017 is reproducible and is the same for the 2 optimal, conjugate fault orientations suggested for Oklahoma. At the regional scale, the timing of predicted seismicity rate, as opposed to its pattern and amplitude, is insensitive to hydrogeological and nucleation parameters in Oklahoma. Poroelastic stress changes alone have a small effect on the seismic hazard. However, their addition to pore-pressure changes can increase the seismicity rate by 6-fold and 2-fold for central and western Oklahoma, respectively. The injection-rate reduction in 2016 mitigates the exceedance probability of M5.0 by 22% in western Oklahoma, while that of central Oklahoma remains unchanged. A hypothetical injection shut-in in April 2017 causes the earthquake probability to approach its background level by ∼2025. We conclude that stress perturbation on prestressed faults due to pore-pressure diffusion, enhanced by poroelastic effects, is the primary driver of the induced earthquakes in Oklahoma.

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          Most cited references50

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          A constitutive law for rate of earthquake production and its application to earthquake clustering

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            The Denver EarthquakeS.

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              Induced earthquakes. Sharp increase in central Oklahoma seismicity since 2008 induced by massive wastewater injection.

              Unconventional oil and gas production provides a rapidly growing energy source; however, high-production states in the United States, such as Oklahoma, face sharply rising numbers of earthquakes. Subsurface pressure data required to unequivocally link earthquakes to wastewater injection are rarely accessible. Here we use seismicity and hydrogeological models to show that fluid migration from high-rate disposal wells in Oklahoma is potentially responsible for the largest swarm. Earthquake hypocenters occur within disposal formations and upper basement, between 2- and 5-kilometer depth. The modeled fluid pressure perturbation propagates throughout the same depth range and tracks earthquakes to distances of 35 kilometers, with a triggering threshold of ~0.07 megapascals. Although thousands of disposal wells operate aseismically, four of the highest-rate wells are capable of inducing 20% of 2008 to 2013 central U.S. seismicity.
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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc. Natl. Acad. Sci. U.S.A
                pnas
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                13 August 2019
                29 July 2019
                29 July 2019
                : 116
                : 33
                : 16228-16233
                Affiliations
                [1] aSchool of Earth and Space Exploration, Arizona State University , Tempe, AZ 85281;
                [2] bDepartment of Earth and Planetary Science, University of California, Berkeley , CA 94709;
                [3] cSchool of Geosciences, University of Oklahoma , Norman, OK 73019
                Author notes
                1To whom correspondence may be addressed. Email: gzhai@ 123456asu.edu .

                Edited by Paul Segall, Stanford University, Stanford, CA, and approved June 26, 2019 (received for review November 8, 2018)

                Author contributions: G.Z. and M.S. designed research; G.Z. performed research; G.Z. analyzed data; and G.Z., M.S., M.M., and X.C. wrote the paper.

                Author information
                http://orcid.org/0000-0003-0827-2089
                http://orcid.org/0000-0003-3286-4682
                Article
                201819225
                10.1073/pnas.1819225116
                6697790
                31358640
                688d80c6-7e4b-466a-883b-f67843362529
                Copyright © 2019 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                Page count
                Pages: 6
                Funding
                Funded by: U.S. Department of Energy (DOE) 100000015
                Award ID: DE-SC0019307
                Award Recipient : Guang Zhai Award Recipient : Manoochehr Shirzaei Award Recipient : Michael Manga
                Categories
                Physical Sciences
                Earth, Atmospheric, and Planetary Sciences
                From the Cover

                induced seismicity,waste fluid injection,poroelasticity,seismicity rate,seismic hazard forecasting

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