<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Probabilistic properties of injection induced seismicity – implications for\r\nthe seismic hazard analysis"^^ . "Injection induced seismicity (IIS) is an undesired dynamic rockmass response to massive fluid injections. This\r\nincludes reactions, among others, to hydro-fracturing for shale gas exploitation. Complexity and changeability of\r\ntechnological factors that induce IIS, may result in significant deviations of the observed distributions of seismic\r\nprocess parameters from the models, which perform well in natural, tectonic seismic processes.\r\nClassic formulations of probabilistic seismic hazard analysis in natural seismicity assume the seismic marked\r\npoint process to be a stationary Poisson process, whose marks – magnitudes are governed by a Gutenberg-Richter\r\nborn exponential distribution. It is well known that the use of an inappropriate earthquake occurrence model\r\nand/or an inappropriate of magnitude distribution model leads to significant systematic errors of hazard estimates.\r\nIt is therefore of paramount importance to check whether the mentioned, commonly used in natural seismicity\r\nassumptions on the seismic process, can be safely used in IIS hazard problems or not.\r\nSeismicity accompanying shale gas operations is widely studied in the framework of the project “Shale Gas\r\nExploration and Exploitation Induced Risks” (SHEER). Here we present results of SHEER project investigations\r\nof such seismicity from Oklahoma and of a proxy of such seismicity – IIS data from The Geysers geothermal\r\nfield. We attempt to answer to the following questions:\r\n• Do IIS earthquakes follow the Gutenberg-Richter distribution law, so that the magnitude distribution can be\r\nmodelled by an exponential distribution?\r\n• Is the occurrence process of IIS earthquakes Poissonian? Is it segmentally Poissonian? If yes, how are these\r\nsegments linked to cycles of technological operations?\r\nStatistical tests indicate that the Gutenberg-Richter relation born exponential distribution model for magnitude\r\nis, in general, inappropriate. The magnitude distribution can be complex, multimodal, with no ready-to-use\r\nfunctional model. In this connection, we recommend to use in hazard analyses non-parametric, kernel estimators\r\nof magnitude distribution.\r\nThe earthquake occurrence process of IIS is not a Poisson process. When earthquakes’ occurrences are influenced\r\nby a multitude of inducing factors, the interevent time distribution can be modelled by the Weibull distribution\r\nsupporting a negative ageing property of the process. When earthquake occurrences are due to a specific injection\r\nactivity, the earthquake rate directly depends on the injection rate and responds immediately to the changes of the\r\ninjection rate. Furthermore, this response is not limited only to correlated variations of the seismic activity but it\r\nalso concerns significant changes of the shape of interevent time distribution. Unlike the event rate, the shape of\r\nmagnitude distribution does not exhibit correlation with the injection rate.\r\n\r\nThis work was supported within SHEER: \"Shale Gas Exploration and Exploitation Induced Risks\" project funded\r\nfrom Horizon 2020 – R&I Framework Programme, call H2020-LCE 16-2014-1 and within statutory activities\r\nNo3841/E-41/S/2016 of Ministry of Science and Higher Education of Poland."^^ . "2017-04" . . . . . . . . . . . . . . . "Pawel"^^ . "Urban"^^ . "Pawel Urban"^^ . . "Stanislaw"^^ . "Lasocki"^^ . "Stanislaw Lasocki"^^ . . "Patricia"^^ . "Martinez-Garzon"^^ . "Patricia Martinez-Garzon"^^ . . "Grzegorz"^^ . "Kwiatek"^^ . "Grzegorz Kwiatek"^^ . . "Institute of Geophysics, Polish Academy of Sciences, Warsaw, Poland"^^ . . . "Institute of Geophysics, Polish Academy of Sciences, Warsaw, Poland"^^ . . . "Institute of Geophysics, Polish Academy of Sciences, Warsaw, Poland"^^ . . . "Helmholtz-Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany"^^ . . . . . "EGU General Assembly 2017"^^ . . . . . "Vienna, Austria"^^ . . . . . . "Probabilistic properties of injection induced seismicity – implications for\r\nthe seismic hazard analysis (Image)"^^ . . . . . "Lasocki_et_al_2017_Monitoring_environmental_effects_of_shale_gas_exploitation_at_Wysin_in_Poland_Poster.pdf"^^ . . . "Probabilistic properties of injection induced seismicity – implications for\r\nthe seismic hazard analysis (Other)"^^ . . . . . . "Probabilistic properties of injection induced seismicity – implications for\r\nthe seismic hazard analysis (Other)"^^ . . . . . . "Probabilistic properties of injection induced seismicity – implications for\r\nthe seismic hazard analysis (Other)"^^ . . . . . . "Probabilistic properties of injection induced seismicity – implications for\r\nthe seismic hazard analysis (Other)"^^ . . . . . . "Probabilistic properties of injection induced seismicity – implications for\r\nthe seismic hazard analysis (Other)"^^ . . . . . "HTML Summary of #1981 \n\nProbabilistic properties of injection induced seismicity – implications for \nthe seismic hazard analysis\n\n" . "text/html" . . . "Collective properties of seismicity" . . . "Probabilistic seismic hazard analysis – time-dependent" . . . "Geysers" . . . "Oklahoma" . . . "Geothermal energy production" . .