1887

Abstract

Among many factors that contribute to microseismic location errors, the largest contribution is due to the lack of knowledge of the wave-propagation medium. In spite of efforts to build the “best” velocity model derived from surface seismic and/or logging data, these models are very often not adapted to the microseismic context and are characterized by numerous uncertainties. These uncertainties are often enhanced due to the poor aperture of the microseismic monitoring networks. Precise location of hypocenters requires deriving a very accurate velocity model using calibration shots; the inversion to obtain this model is a difficult task but cannot be neglected. We propose a tomography algorithm using calibrations shots that does not produce only a unique “best” velocity model but all velocity models that explain the observed data within the traveltime picking uncertainties. This approach allows deriving location uncertainties associated to velocity model uncertainties. These maps show that the commonly used probability associated to the picking uncertainties must not be used to represent the probability associated to the velocity model uncertainties

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/content/papers/10.3997/2214-4609.20131027
2013-06-10
2024-03-28
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.20131027
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