2024 Pocs interpolation

Pocs interpolation

Author: mljj

August undefined, 2024

WebOct 1, 2010 · Seismic trace interpolation is necessary for high-resolution imaging when the acquired data are not adequate or when some traces are missing. Projection-onto-convex … WebOct 8, 2014 · 1. Introduction. Seismic data interpolation plays a fundamental role in seismic data processing, which provides the regularly sampled seismic data for the following jobs like 3D SRME and wave equation-based migrations (Xu et al 2010).There has been a number of effective methods to recover missing seismic traces, these methods can be generally …

The Interpolation of Sparse Geophysical Data SpringerLink

WebNov 1, 2006 · An interpolation algorithm originating from image restoration, the projection onto convex sets (POCS) method has been introduced by Abma and Kabir (2006) for field … WebJul 28, 2016 · Then, the projection onto convex projection (POCS) method is used to interpolate frequency-space data based on complex-valued curvelet transform. Finally, … hilary draper

Can learning from natural image denoising be used for seismic …

WebCNN-POCS CNN-POCS algorithm for seismic data interpolation. This repository contains the reproducible code for the article "Can learning from image denoising be used for seismic … WebThe proposed robust POCS method can better remove the outliers and preserve signal than the non-robust POCS method. Synthetic and field data demonstrate that the proposed … WebSep 27, 2024 · Geophysical data interpolation has attracted much attention in the past decades. While a variety of methods are well established for either regularly sampled or irregularly sampled multi-channel data, an effective method for interpolating extremely sparse data samples is still highly demanded. In this paper, we first review the state-of-the … small world play toys

DTAE: Deep Tensor Autoencoder for 3-D Seismic Data Interpolation

WebOct 1, 2010 · Seismic 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 (POCS) interpolation can gradually recover missing traces with an iterative algorithm, but its computational cost in a 3D CPU-based implementation is too high for practical … WebMar 7, 2024 · Cao et al proposed a modified POCS method, which can realize simultaneous interpolation and denoising. Curvelet transform (Candes et al 2006 ) was also employed … small world play therapy small world play uk

"WebNov 3, 2006 · A projection onto convex sets (POCS) algorithm using Fourier transforms allows interpolation of irregularly populated grids of seismic data with a simple iterative … " - Pocs interpolation

Pocs interpolation

WebInterpolation acts as a random noise attenuator because it can only predict coherent energy, but there are already many processing tools to tackle random noise. Coherent noise, on … WebApr 1, 2024 · To address the problems incurred by the presence of noise, interference, and gaps in real measured potential field data, we proposed a method for the simultaneous interpolation, border padding, and denoising of potential field data using a POCS algorithm.

Did you know?

WebJul 24, 2014 · Three-dimensional seismic data interpolation is performed by utilizing a POCS method of an image processing field, and a conventional inversion process is preplaced by utilizing the Fourier transform iteration to search an advantageous energy; and the method is performed in the OVT domain, adjacent channels in the domain have the same offset ... WebPOCS interpolation is a simple and effective way to produce multi-dimensional interpolations that can de-alias seismic data well (Abma, 2009). While POCS should have at least half the traces live on the input, the POCS interpolation tends to be fairly robust in places where MWNI is difficult to parameterize. MWNI

WebFeb 27, 2024 · In this paper, we propose a simple and efficient plug-and-play approach for seismic interpolation, which integrates deep networks into POCS algorithm. Via the POCS algorithm framework, we convert the original interpolation problem to a denoising task and the CNN plays an important role of denoising. Web% d_pocs simulates the projections onto convex sets (POCS) based demosaicing algorithm. % % [out_pocs] = d_pocs (X, N_iter, T) % X -> Bayer sampled mosaic % N_iter -> Number of iterations % T -> Threshold % out_pocs -> Interpolated image using the POCS algorithm % % For details, please refer to the paper:

WebJan 1, 2024 · POCS algorithm is widely used because of its simplicity and robustness. Abma and Kabir (2006) firstly applied the POCS algorithm to irregular seismic data interpolation, then a number of POCS-based interpolation methods have been developed (Yang et al., 2012; Zhang et al., 2015). WebApr 1, 2012 · In this article, a new derivation of the projection onto convex sets (POCS) interpolation algorithm is presented from the well known iterative shrinkage–thresholding (IST) algorithm, following...

WebSep 30, 2024 · A reconstruction method known as Projection Onto Convex Sets (POCS) is an effective, uncomplicated and robust method for the recovery of irregularly missing …

Web(B) Well logs through A. (C) POCS interpolation based on well logs in B. (D) Synthetic topography with a fractal character. (E) Smooth spline interpolation of 32x32 point, … hilary drummondWebJan 1, 2024 · POCS algorithm is widely used because of its simplicity and robustness. Abma and Kabir (2006) firstly applied the POCS algorithm to irregular seismic data interpolation, … small world play schoolWebThese data should often be interpolated. A projection onto convex sets (POCS) algorithm using Fourier transforms allows interpolation of irregularly populated grids of seismic … small world play ideas eyfsWebPOCS interpolation is a simple and effective way to produce multi-dimensional interpolations that can de-alias seismic data well. While POCS should have at least half … hilary druxman earringsWebJul 28, 2016 · Synthetic data and field data examples show that the efficiency can be improved more than two times and the performance is slightly better in the frequency-space domain compared with the POCS method directly performed in the time- space domain, which demonstrates the validity of the proposed method. Sampling irregularity in … small world playthroughWebMar 1, 2024 · Consequently, the new algorithm, which will be called IRCNN-FPOCS, has three advantages: (1) supports high-performance seismic interpolation with deep priors; (2) is interpretable; and 3) alleviates the problem of insufficient training data for the seismic field. hilary druxman hoursWebThese data should often be interpolated. A projection onto convex sets (POCS) algorithm using Fourier transforms allows interpolation of irregularly populated grids of seismic data with a simple iterative method that produces high-quality results. hilary druxman