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The AAPG/Datapages Combined Publications Database
Showing 772 Results. Searched 200,293 documents.
Using machine learning to interpret 3D airborne electromagnetic inversions
Eldad Haber, Jen Fohring, Mike McMillan, Justin Granek
Petroleum Exploration Society of Australia (PESA)
.... The parameters, θ, are made from convolution kernels, K, biases, b and linear weights, W. AEGC 2019: From Data to Discovery – Perth, Australia...
2019
Interbed multiple attenuation with an automatic spatially adaptive thresholding operator: A case study in the North Louisiana Salt Basin
Joel Latchman, Rika Burr, Jonathan Woolley, Anna Nolan, Bin Gong, Jinming Zhu, Fang Yuan
International Meeting for Applied Geoscience and Energy (IMAGE)
... including SRME (surface related multiple elimination). SRME predicts surface related multiples by convolution of seismic data with itself and removes...
2024
Automated machine learning first-break picking in the Sichuan Basin A case study
Jianfa Wu, Xuewen Shi, Qiyong Gou, Ersi Xu, Dongjun Zhang, Dingxue Wang, Phil Bilsby, Qing Zhou, Rong Li
International Meeting for Applied Geoscience and Energy (IMAGE)
... separable convolution for semantic image segmentation: Proceedings of the European Conference on Computer Vision (ECCV), 11211, 833–851. Springer, doi...
2024
Multi-information intelligent decision process for first-break picking
Fei Luo, Lanlan Yan
International Meeting for Applied Geoscience and Energy (IMAGE)
..., and P. Shi, 2018, Seismic waveform classification and first-break picking using convolution neural networks: IEEE Geoscience and Remote Sensing Letters...
2024
Iterative 3D deterministic and data-driven multiple attenuation for deep-water OBN in the Campos Basin
Thais Sales, Frederico Xavier de Melo, Joel Monteiro, Dmitri Skorinski, Shady Attia, Mohammad Ghazey, Marcella Braga, Etory Sperandio, André Ferreira, Moacyr Bezerra, Thiago Costa
International Meeting for Applied Geoscience and Energy (IMAGE)
...) is predicted by a multi-dimensional search and convolution between a towed streamer data on the source side 𝐷 𝑇𝑆 and the OBN on the receiver side...
2024
Pressure and Rate-transient Behavior of a Horizontal Well Intercepting Multiple Vertical Fractures within a Fractal Reservoir
Alex R. Valdes-Perez, Leif Larsen, Thomas A. Blasingame
Unconventional Resources Technology Conference (URTEC)
... principle (i.e., convolution) to obtain the constant-pressure solutions of the models presented in this work. This principle relates the constant rate...
2018
Unveiling and Imaging Karst Through Refined Wavefield Separation
Riaz Alai, M Afiq B Mokhtar, Yonghe Guo, Pongga Wardaya, Jun Wang , Rizki Krishna Pratama, Haryono Haryanto
Indonesian Petroleum Association
... multiple model through convolutions of reflections only. Figure 4c showcases the predicted multiple model through convolution of only diffractions. Here...
2018
The Hybrid Theory-Guided Data Science-Based Method: Unlocking the Full Potential of Seismic Reservoirs Characterization
Rino Saputra, Akash Mathur, Awal Mandong
Indonesian Petroleum Association
... part of CNN is to have convolution and pooling process as shown in Figure 2. 4 Figure 2 - Schematic of convolutional neural network. The process...
2023
True-Azimuth 3D Surface-Related Multiple Elimination
Roald van Borselen, Rob Hegge, Peter Aaron, Simon Barnes, Andrew Long
Petroleum Exploration Society of Australia (PESA)
... Introduction in the data, multiples at the free-surface are The im plementat ion of the true-azimuth predicted via a convolution process of 3D ultiple...
2009
Interbed Multiple Suppression in Carbonate Sequences
Gabriel Gil
Unconventional Resources Technology Conference (URTEC)
... and Fred Hilterman, 2013, Expressing interbed multiples as a nonstationary convolution process, Presented at the SEG Annual Convention. David Brookes...
2025
Trace Fossils in the Lower Tal Formation of Mussoorie and their Environmental Significance
D. M. Banerjee, M. J. Narain
Journal of Sedimentary Research (SEPM)
... up in the sequence show small load casts and convolution of ripple laminations. Thin, graded layers also occur sparingly in the lower part...
1976
Basic Seismic Processing: Part 7. Geophysical Methods
Peter M. Duncan
AAPG Special Volumes
... of such interactions is called convolution. Reversing the process is called deconvolution (Sheriff, 1984). If one knows the response time...
1992
IV. The Role of Seismic Wavelets and Wavelet Processing
Norman S. Neidell
AAPG Special Volumes
... the seismic trace may be regarded as a convolution or filtering of the reflectivity Fig. Verification of wavelet consistency and role of amplitude correction...
1979
Abstract: Color Correction for Gabor Deconvolution and Nonstationary Phase Rotation; #90171 (2013)
Peng Cheng and Gary F. Margrave
Search and Discovery.com
... deconvolution is based on a nonstationary convolution model of the seismic trace. Margrave (1998) presented a nonstationary convolutional model, which...
2013
ABSTRACT: OBJECT BASED SIMULATIONS IN FLUVIAL ENVIRONMENT AT THE RESERVOIR SCALE AND AT A LOCAL SCALE; #90013 (2003)
MARTA BENITO GARCIA-MORALES, HELENE BEUCHER, FRANCOIS GEOFFROY, BRIGITTE DOLIGEZ
Search and Discovery.com
... to the regionalized intensity function h(y) and to the primary grain by a convolution operation, Copyright A 2003 by AAPG AAPG Annual Convention May...
2003
Abstract: Color Correction for Gabor Deconvolution and Nonstationary Phase Rotation; #90171 (2013)
Peng Cheng and Gary F. Margrave
Search and Discovery.com
... deconvolution is based on a nonstationary convolution model of the seismic trace. Margrave (1998) presented a nonstationary convolutional model, which...
2013
Abstract: The Phase Shift Time Stepping Equation and the Marmousi Data Set; #90171 (2013)
Ben D. Wards, Gary F. Margrave, and Michael P. Lamoureux
Search and Discovery.com
... reflections the I j windows are smoothed, Ω j = w * I j , where * denotes 2D spatial convolution. The partition W j is used to window the wavefield...
2013
Abstract: 3D Inversion of Transient EM Data: A Case Study from the Alvheim field, North Sea; #90172 (2014)
Bruce Hobbs, Michael Zhdanov, Alexander Gribenko, Alan Paterson, Glenn Wilson, Craig Clarke
Search and Discovery.com
... was employed exclusively in this survey. The measured voltage at the receiver is the convolution of the source current with the impulse response...
2014
Abstract: Event-directed Spectrum Extrapolation for Upsampling Seismic Traces; #90172 (2014)
Zhengshong Yao, Elvis Floreani
Search and Discovery.com
... and the amplitude of interpolated traces can have a scaling problem. Actually, if the convolution of FX interpolation method is transferred to spatial...
2014
Abstract: New Approach to Finite-Difference Memory Variables by Using Lagrangian Mechanics; #90187 (2014)
Wubing Deng and Igor Morozov
Search and Discovery.com
... for the J th Maxwell body. Eq. (7) is a time convolution which can be viewed as a retarded response of strain eJ t to variable e t . Note...
2014
Abstract: Simultaneous Multiple Source Acquisition using m-Sequences; #90187 (2014)
J. Wong
Search and Discovery.com
... 4000ms of the convolutions are plotted. (c) Cross-correlation of the summed convolution with each of the pilots on Figure 2(a), plotted with AGC...
2014
Abstracts: Full Waveform Inversion Using One-way Migration and Well Calibration; #90173 (2015)
Gary F. Margrave, Robert J. Ferguson, and Chad M. Hogan
Search and Discovery.com
.... If not, then becomes frequency dependent, which in the time domain necessitates a convolution. Once is frequency dependent, then the 2 factor can...
2015
Abstracts: The Conventional and Non-conventional Seismic Differencing; #90173 (2015)
Vanja Vracar and Robert J. Ferguson
Search and Discovery.com
... data the series expansion is simplified to: (6) Multiplication with ( A) in equation (6) represents spatial convolution, that is adding one roundtrip...
2015
Abstract: Supervirtual S-wave Refraction Interferometry for Converted Wave Statics and Near-Surface S-wave Velocity Model Building; #90224 (2015)
Kristof De Meersman and Yoones Vaezi
Search and Discovery.com
...-critical sources xj. These are summed to form virtual refractions . (b) The second step is the convolution of recorded data from source X and receiver...
2015
Abstract: Deterministic Marine Deghosting: Tutorial and Recent Advances; #90224 (2015)
Mike J. Perz and Hassan Masoomzadeh
Search and Discovery.com
... Deghosting basics We begin by revisiting the canonical model for the normal incidence ghost. The ghost effect may be described by the convolution...
2015