Using laboratory experiments to develop and test new Marchenko and imaging methods

da Costa Filho, Carlos Alberto (University of Edinburgh) | Tant, Katherine (University of Strathclyde) | Curtis, Andrew (University of Edinburgh) | Mulholland, Anthony (University of Strathclyde) | Moran, Carmel M. (University of Edinburgh)

OnePetro 

It has been employed to diminish the effects of multiples in seismic data. Several such methods rely on an absolute scaling of the data; this is usually considered to be known in synthetic experiments, or is estimated using heuristic methods in real data. Here, we show using real ultrasonic laboratory data that the most common of these methods may be ill suited to the task, and that reliable ways to estimate scaling remains unavailable. Marchenko methods which rely on adaptive subtraction may therefore be more appropriate. We present two adaptive Marchenko methods: one is an extension of a current adaptive method, and the other is an adaptive implementation of a nonadaptive method. Our results show that Marchenko methods improve imaging compared to reverse-time migration, but less so than expected. This reveals that some Marchenko assumptions were violated in our experiment and likely are also in seismic data, showing that laboratory experiments contribute critical information to the development and testing of Marchenko-based methods. INTRODUCTION Seismic processors have long been concerned with the presence of multiples (waves that reflect multiple times in the subsurface before being recorded at the receiver array) in seismic data.