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| | Abstract | | The number of seismic sensors is primarily driven by the required spatial sampling interval for both signal and noise. Sampling for noise removal almost always requires finer spatial sampling than the signal. This is the case irrespective of whether those sensors are in conventional hard-wired arrays, or recorded individually. However, the ability to acquire and process data from each individual point-receiver allows us to optimize the benefit of each measurement and minimizes the overall number of sensors required to achieve the desired signal-to-noise ratio. It also raises the bar on the maximum quality that can be realized from land seismic data overall. With over 40 Q-Land projects around the world, WesternGeco has demonstrated the principles of superior noise removal and superior signal preservation using point-receiver data through the Digital Group Forming - DGF process. Through this presentation, this new technology is introduced together with the discussion on how many sensors will be needed for a land seismic survey. |
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