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oa Quantitative Network Design Optimization
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, Fifth EAGE Passive Seismic Workshop, Sep 2014, Volume 2014, p.1 - 3
Abstract
The capability to correctly interpret microseismic datasets depends strongly on the completeness of the event catalogue and reliability of measurements. Location accuracy of a microseismic event is strongly controlled by azimuthal coverage defined by the source-receiver geometry. Furthermore, the detection limit is determined by the noise level and the distance between source and each receiver. Economics drive the need to find the network geometry with minimum number of sensors that optimizes both location accuracy and catalogue completeness down to a desired event magnitude.
However, the geometry of a downhole sensor network is mostly controlled by available well locations and sensor spacing of standardized sensor strings. At the surface (or ocean floor) the design of a sensor network is constrained by accessibility, existing infrastructure, and a variety of noise sources (Kraft, 2013).