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10001 Richmond Ave, Q Auditorium
Houston TX 77042
Speaker: Wilson Ibanez, Schlumberger
Conventional seismic data acquisition surveys require a firing time delay from each source to avoid energy overlaps between all the different shot records. But recent developments in continuous seismic recording systems and data separation workflows have allowed us to simultaneously acquire seismic data from different sources at the same time, thereby, greatly reducing operations costs and improving the data acquisition efficiency. However, the simultaneous source approach imposes new challenges in our data processing workflows to separate (deblend) the signal from each source. Various proposed source separation technologies are available to deblend the data, but most of these technologies rely upon coherent noise attenuation techniques that produce results with a significant amount of residual signal from the seismic interference. In addition to the quality limitations, coherent noise attenuation techniques require a substantial amount of additional time to create the best processing workflow that suits the needs of a particular dataset. In this abstract, we present an alternative approach to deblend the High Point 3D broadband long-offset simultaneous source towed-streamer data using an innovative algorithm that progressively models the source-separated signal while safely eliminating the interference from the data, and provides significantly better results with better source-separation performance.
Speaker Biography: Wilson Ibanez, Schlumberger
Wilson Ibañez started his career in the oil & gas industry in 2008. He initially joined Ecopetrol for a few years, where his primary research interest was seismic anisotropy and velocity model building. In 2010, Wilson completed his Bachelor’s thesis on non-hyperbolic moveout equations for vertical transverse isotropic (VTI) media at the University of Oklahoma. He then joined the Oklahoma Geological Survey to develop geological model-building workflows based on gravity, magnetic and seismic data. In 2011, he moved to Saudi Arabia and joined the Seismic Wave Analysis Research Group at King Abdullah University of Science and Technology (KAUST). He completed his research on Effective orthorhombic anisotropic models for wavefield extrapolation and earned his Master’s degree in Earth Science at KAUST in 2013. Wilson then joined the Earth Modeling Geoscientist group at Schlumberger in 2013. Since then, he has focused on testing and applying state-of-the-art Earth Model Building workflows. His most recent work focused on applying and integrating non-seismic data to depth imaging workflows, allowing him to build a cycle of iterative model-building updates that lead to better seismic imaging results and a more reliable prospect evaluation for his clients.
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