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The technical programme is included in the Programme & Catalogue and can be downloaded as PDF here [699KB].

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= oral presentation  = poster presentation
Seismic Noise Attenuation
Date02-06-2016
RoomStolz 1
TypeOral session
ChairmanJ. Brittan - ION
B.A. King - Statoil ASA

08:30Th STZ1 01 Adaptive Windowed Deghosting - Applications to FAZ Acquisition
Z. Zhang* (TGS), Z. Wu (TGS), B. Wang (TGS) & J. Ji (TGS)
08:55Th STZ1 02 Practical Aspects of Non Local Means Filtering of Seismic Data
C.I. De Gaetani* (Dolphin Geophysical Ltd), S.P. Winters (Dolphin Geophysical Ltd), J. Barnes (Dolphin Geophysical Ltd) & S. Grion (Dolphin Geophysical Ltd)
09:20Th STZ1 03 Enhanced 3D Broadband Processing - A Case Study from the Edvard Grieg Field
N. Salaun* (CGG), V. Cavalie (CGG), P. Borisevitch (CGG), D. Hardouin (CGG) & A. Wright (CGG)
09:45Th STZ1 04 Random Noise Attenuation Using Non-local Bayes Algorithm
D.K. Chang* (PetroChina), W.Y. Yang (PetroChina), Y.H. Wang (PetroChina), Q. Yang (PetroChina) & X.J. Wei (PetroChina)
10:10 Break
10:30Th STZ1 05 Random Noise Attenuation Based on Orthogonal Polynomial Transform in the Flattened Domain
Y. Chen (University of Texas at Austin), Y. Xue (China University of Petroleum - Beijing), Z. Cheng (University of Southern California), S. Gan (China University of Petroleum - Beijing) & D. Zhang* (China University of Petroleum - Beijing)
10:55Th STZ1 06 Inversion-based t-x Domain Signal-preserving Random Noise Reduction method
Y. Zhao* (China University of Petroleum (Beijing)), G. Li (China University of Petroleum (Beijing)), J. Wei (China University of Petroleum (Beijing)), B. Li (China University of Petroleum (Beijing)), J. Wang (China University of Petroleum (Beijing)) & M. Wang (China University of Petroleum (Beijing))
11:20Th STZ1 07 Statistical Modelling of Pre-injection Noise Recorded at the Aquistore Carbon Storage Site
C. Birnie* (University of Leeds), K. Chambers (Nanometrics Inc.) & D. Angus (University of Leeds)
11:45Th STZ1 08 Random Noise Attenuation in Reflection Seismic Data Using Adaptive Neuro-fuzzy Interference System (ANFIS)
A. Hajian* (Najafabad Branch,Islamic Azad University), R. Kimiaeefar (Najafabad Branch,Islamic Azad University) & H.R. Siahkoohi (University of Tehran)