Orientation of multicomponent receivers via semblance analysis
Paul Edward Murray, Gulia Popov, Bryan C. DeVault · 2016
We compared results of different methods of multicomponent receiver orientation analysis using data from the Big Sky 9C-3D survey, including polarization analysis, polarity flip mapping, and sensor null mapping. Polarization analysis and polarity flip mapping provided inconclusive or non-physical results. We found the most consistent results by mapping nulls in the H1 and H2 sensitivity patterns using trial rotations to radial/transverse coordinates and computing semblance over a window containing the first arrivals. We use the ratio of maximum to minimum semblance energy of all trials to quantify the null depth as a quality control factor. For receiver gathers with a large null depth, the computed orientation angles better fit data than nominal field orientations. By comparing semblance calculations over different offset ranges, we can determine the optimal offset range for orientation analyses through spatial maps of the null depths after analysis rather than attempting to pre-select the optimal range. Presentation Date: Wednesday, October 19, 2016 Start Time: 1:30:00 PM Location: 166 Presentation Type: ORAL