WebOct 20, 2010 · Irregular seismic data causes problems with multi-trace processing algorithms and degrades processing quality. We introduce the Projection onto Convex Sets (POCS) based image restoration method into the seismic data reconstruction field to interpolate irregularly missing traces. For entire dead traces, we transfer the POCS … WebMar 13, 2024 · A projection onto convex sets (POCS) algorithm using Fourier transforms allows interpolation of irregularly populated grids of seismic data with a simple iterative … drinking 100 oz of water a day pregnant WebJul 1, 2015 · In recent years, many studies have been performed to reconstruct traces missing from irregularly undersampled seismic data. In this paper, we introduce a new curvelet-transform-based projection onto convex sets (POCS) algorithm that applies the curvelet transform to 2D Fourier-transformed data in the f–k domain instead of data in … WebMar 25, 2015 · Defects of the POCS and the weighted POCS methods are analysed for noisy data: the POCS method has an implicit assumption that observed seismic data should have high SNR and has difficulty for noisy data interpolation; the weighted POCS method can weaken the random noise effect, while it still inserts some random noise and its … collins investment group bethesda WebFeb 24, 2024 · Abstract. Deep learning (DL) is a powerful tool for mining features from data, which can theoretically avoid assumptions (e.g., linear events) constraining conventional interpolation methods ... WebA projection onto convex sets (POCS) algorithm using Fourier transforms allows interpolation of irregularly populated grids of seismic data with a simple iterative method … drinking 120 oz of water a day weight loss WebApr 24, 2024 · Abma, R., and Kabir, N., 2006, 3D interpolation of irregular data with a POCS algorithm: Geophysics, 71(5), E91–E97. Article Google Scholar Bregman, L., 1965, The method of successive projection for finding a common point of convex sets: Soviet Math, 6(3), 688–692. Google Scholar

WebMitigating artifacts in POCS interpolation REFERENCES Abma, R., and N. Kabir, 2006, 3d interpolation of irregular data with a POCS algorithm: Geophysics, 71, E91–E97. Abma, R., and A. Ross, 2013, Popcorn shooting: Sparse inversion and the distribution of airgun array energy over time: Presented WebApr 1, 2024 · 3D interpolation of irregular data with a POCS algorithm. Geophysics, 71 (2006), pp. E91-E97. CrossRef View in Scopus Google Scholar. Azizi et al., 2015. ... Accelerating POCS interpolation of 3D irregular seismic data with graphics processing units. Comput. Geosci., 36 (2010), pp. 1292-1300. collins intermediate school WebThis page is a summary of: 3D interpolation of irregular data with a POCS algorithm, January 2005, Society of Exploration Geophysicists, DOI: 10.1190/1.2148139. You can … WebFigure 4 is a selected inline from a 3D stack, interpolated data only of MWNI, MWNI + POCS and the original stack. In the highlighted area, the resolution of MWNI + POCS interpolation is better than MWNI only interpolation. Presented by: Dr. Jianhua Pan www.absoluteimaging.ca 5D Interpolation of Seismic Data Using a Hybrid MWNI and … drinking 15 year old coke WebFigure 4 is a selected inline from a 3D stack, interpolated data only of MWNI, MWNI + POCS and the original stack. In the highlighted area, the resolution of MWNI + POCS … drinking 14 cups of water a day WebNov 3, 2006 · Seismic surveys generally have irregular areas where data cannot be acquired. These data should often be interpolated. A projection onto convex sets …

WebThe method presented here can interpolate irregularly missing data, plus it can interpolate aliased data, and with some modifications, data with regularly spaced missing data. This … collins international primary english WebSeismic trace interpolation is necessary for high-resolution imaging when the acquired data are not adequate or when some traces are missing. Projection-onto-convex-sets … collins iowa garage sale