ZOOM WEBINAR PRESENTATION
Zoom webinar link:
Abstract: Noise attenuation is an important and recurrent step in a typical marine seismic data processing sequence. Its purpose is to remove unwanted seismic energy that negatively interferes with a given seismic processing step or reduces the resolution of the final seismic image. This talk will describe key noise attenuation solutions that are deployed in an industrial context. The focus will be on the practical considerations that shape the research, the design, and the implementation process of these solutions. Aspects of automation such as machine learning and engineered data-driven algorithms will also be discussed. Finally, the talk will touch on the future evolution of industrial seismology during the energy transition period and the new R&D priorities that would be needed to support this transition.
Biography: Maiza Bekara received an engineering degree in electronics from the Institue National d’Electricité et d’Electronique (INELEC), Boumerdes, Algeria, in 1998 and M.Sc. degrees in control and signal processing from the University of Paris XI in 2001 and a Ph.D. in the same field and university in 2004. His research interest lies in the ﬁeld of applied signal processing for geophysical applications and cover topics such as noise attenuation, multiple modeling, inverse problems, and machine learning. He is currently a principal research geophysicist with Petroleum Geo-services and serves as an associate editor for Geophysical Prospecting.