Paper Summary

We present a workflow that enables identification and characterization of leads and prospects by combining all recorded wavefields from dual-sensor streamer seismic data and the sub-surface resistivity derived from Towed Streamer EM data. Deep tow, dual-sensor seismic acquisition does not only provide low-frequency rich, high signal-to-noise data, that is the foundation for high-resolution broadband imaging, but also serves as the ideal input for refraction based velocity estimation through full waveform inversion (FWI). In shallow water environments conventional 3D seismic imaging often struggles to provide accurate, high resolution imaging of the near surface mainly due to the lack of near offsets (angles) in typical 3D marine seismic data. However, dual-sensor seismic data also provide separated (up-and down-going) wavefields that we use to construct images and image gathers that span a complete range of incidence angles enabling amplitude versus angle (AVA) analysis to be carried out. We show that combining high resolution seismic velocity and resistivity models enables identification and isolation of background trends, and the correlation between anomalously high resistivity and low velocity zones to be investigated. This is a potentially useful precursory/complimentary activity to the robust AVA driven prospect and lead analysis enabled by the dual-sensor seismic data.