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The AAPG/Datapages Combined Publications Database
Showing 186 Results. Searched 201,044 documents.
ABSTRACT: The Prediction Error Filters Applied Seismic Interpretation, by Fernandez, Alfredo; Marfurt, Kurt J.; #90142 (2012)
Search and Discovery.com
2012
ABSTRACT: The Prediction Error Filters Applied for Structural Dip Interpretation; #90133 (2011)
Alfredo Fernandez and Kurt J. Marfurt
Search and Discovery.com
...ABSTRACT: The Prediction Error Filters Applied for Structural Dip Interpretation; #90133 (2011) Alfredo Fernandez and Kurt J. Marfurt The Prediction...
2011
Abstract: Nonlinear AR Modeling Using Second Order Volterra Filters; #90211 (2015)
Soner Bekleric and Mauricio Sacchi
Search and Discovery.com
...-linear phenomena. Our non-linear AR filtering scheme is constructed via Volterra series. In this case the prediction error filter is a combination...
2015
The Prediction Error Filters Applied to the Seismic Interpretation Process of a Mississippian Tripolitic Chert Reservoir, #40964 (2012)
Alfredo Fernandez, Ben Dowdell, Kurt J. Marfurt
Search and Discovery.com
...The Prediction Error Filters Applied to the Seismic Interpretation Process of a Mississippian Tripolitic Chert Reservoir, #40964 (2012) Alfredo...
2012
-- no title --
user
Search and Discovery.com
... a suite of prediction error filters (PEFs). Then, the extracted PEFs are used to reconstruct the aliased part of the data in Fourier spectrum. AAPG...
Unknown
-- no title --
user
Search and Discovery.com
... a suite of prediction error filters (PEFs). Then, the extracted PEFs are used to reconstruct the aliased part of the data in Fourier spectrum. AAPG...
Unknown
Multi-Step Auto-Regressive Reconstruction of Nonuniformly Sampled, Aliased Seismic Records; #41563 (2015)
M. Naghizadeh, M. D. Sacchi
Search and Discovery.com
... at low frequencies. The reconstructed low frequency portion of the data is used to extract a suite of prediction error filters (PEFs...
2015
ABSTRACT: A Robust Method for Q Estimation, by Taner, M. Turhan, Sven Treitel; #90026 (2004)
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2004
Seismic Trace Interpolation using Adaptive Prediction Filters
Search and Discovery.com
... interpolation strategy based on overlapping adjacent windows, we have adopted the Recursive Least Squares method to update the prediction error filters...
2013
Abstract: Wavepath Tomography for Complex Velocity Areas, by Dimitri Bevc, Moritz Fliedner, Morgan Brown, and Biondo Biondi; #90077 (2008)
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2008
Abstract: Pseudo ARMA FX Deconvolution for Seismic Data Noise Reduction; #90174 (2014)
Mike Galbraith and Zhengsheng Yao
Search and Discovery.com
... , where S is pure signal and W is additive white noise, then (Sacchi and Kuehl, 2000) (2) where g is the prediction error filter with g(0)=1, and g(1:p...
2014
Abstract: Seismic Data Decomposition into Spectral Components Using Regularized Nonstationary Autoregression; #90187 (2014)
Sergey Fomel
Search and Discovery.com
... one by one by using a convolution of several two-point prediction-error filters: (7) F(Z) = (1- Z / Z1 ) (1- Z / Z2 ) (1- Z / Zn ) =1+ a1Z + a2 Z 2...
2014
Interferometry Application to Interpolate Missing 2D Seismic Data in Shot Gathers
Lily Suherlina, M.Yusup Nur Khakim, Hilman Mardiyan, Roy Baroes
Indonesian Petroleum Association
... offsets with multiples and prediction-error filters: 68th Annual Conference and Exhibition, EAGE, Extended Abstracts, G026. Liu, B., and M. Sacchi, 2004...
2016
Abstract: Time Domain Least-squares Prestack Migration; #90172 (2014)
Ricardo C. Rebollo, Mauricio D. Sacchi
Search and Discovery.com
... and Sacchi (2009) via FX-domain prediction error filters and Leaney et. al (2009) via dip-steering operators estimated from migrated VSP images...
2014
Abstract: Nonstationary Predictive Deconvolution; #90172 (2014)
Gary F. Margrave, Michael P. Lamoureux
Search and Discovery.com
... been used, with limited success, as a method of multiple suppression. The original theory uses stationary prediction filters to estimate the predictable...
2014
Deep Learning Models for Methane Emissions Identification and Quantification
Ismot Jahan, Mohamed Mehana, Bulbul Ahmmed, Javier E. Santos, Dan O’Malley, Hari Viswanathan
Unconventional Resources Technology Conference (URTEC)
... wind speeds. Figure 5 and 6 represents the plume images with low and high prediction error from the test dataset. The prediction error is not correlated...
2023
Spectral Analysis of Wireline Logs — An Innovative Approach to Analyzing Fossil Depositional Systems: Abstract
Nio Swie Djin, Herman Soediono, Antoine A. H. Wonders
Indonesian Petroleum Association
.... The rate of change can be expressed as a number, the prediction error. Points on the wireline log trace with maximum prediction error often represent...
1999
PWD-PINN: Slope-assisted seismic interpolation with physics-informed neural networks
Francesco Brandolin, Matteo Ravasi, Tariq Alkhalifah
International Meeting for Applied Geoscience and Energy (IMAGE)
.... Claerbout, J. F., and M. Brown, 1999, Two-dimensional textures and prediction-error filters: 61st Annual International Conference and Exhibition, EAGE...
2022
Mapping Distribution of Sandstone and Seismic Multi-Attribute Analysis Using Linear Regression Method in the "RMS" Field, South Sumatra Basin
Clara Armiliany, Ryan Mulyadi Saragih, Aji Arif Sulaksono, Bagus Sapto Mulyatno, Ordas Dewanto
Indonesian Petroleum Association
... single attribute using trial and error. For each attribute contained in the prediction error is calculated. The best attributes are attributes...
2019
Anti-aliasing seismic data interpolation by dip-informed self-supervised learning
Shirui Wang, Xuqing Wu, Jiefu Chen
International Meeting for Applied Geoscience and Energy (IMAGE)
... the prediction-error-filter into a deep neural network to enhance the resolution of aliased seismic data. These methods generally adopted a supervised learning...
2023
ABSTRACT: A New Approach to Predict Log Properties from Seismic Data Using Multiple Seismic Attributes and Neural Networks, by James S. Schuelke, Dan Hampson, and John Quirein; #90913(2000).
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2000
Cyclostratigraphy for Low Resistivity Reservoir Assessment: An Example from S Field, Northern Kutai Basin
Prayoga Wahyu Pratama, Ikhsansyah Putra Pratama, Boyke Khadafi, Andy Wijaya, Ahmad Yuda Pratama
Indonesian Petroleum Association
... with actual log is called PEFA (Prediction Error Filter Analysis). All of this error value is integrated from bottom to top PEFA data to gain INPEFA...
2017
2011 AAPG Mid-Continent Section Meeting, Oklahoma City, Oklahoma, 1-4 October 2011, - Abstracts, #90133 (2011).
Search and Discovery.com
2011
Machine Learning Methods for Handling Parameter Space Sampling Bias in Unconventional Well Performance Prediction
Oliver Rojas Conde, Henry Galvis Silva, Sebastien Matringe
Unconventional Resources Technology Conference (URTEC)
... of prediction error lies in the non-uniform sampling of historical data. Parameters such as 2-mile lateral lengths and standard completion designs dominate...
2025