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Propagation of Velocity Uncertainties to Microseismic Locations Using a Competitive Particle Swarm Optimizer
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 79th EAGE Conference and Exhibition 2017, Jun 2017, Volume 2017, p.1 - 5
Abstract
Microseismic location uncertainties are mainly due to arrival time picking errors, poorly constrained acquisition geometry and the lack of knowledge of the wave propagation medium. More reliable locations of hypocenters with their associated uncertainties can be obtained by propagating velocity model uncertainties which can be obtained by sampling the velocity model space.
We propose to use a Competitive Particle Swarm Optimizer (CPSO) to sample the model space by running the algorithm multiple times and keeping all the models that explain the observed data. Then, we perform a cluster analysis on all the acceptable models to define a reliable subset of models to propagate the velocity uncertainties to the microseismic locations. The algorithm is illustrated on a real 3D data set in the context of hydraulic fracturing.