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The AAPG/Datapages Combined Publications Database
Showing 163 Results. Searched 195,387 documents.
ABSTRACT: The Prediction Error Filters Applied Seismic Interpretation, by Fernandez, Alfredo; Marfurt, Kurt J.; #90142 (2012)
Search and Discovery.com
2012
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 relative power of these two methods against the relatively underutilized Prediction Error Filter (or PEF, also known as an Autoregressive Filter...
2012
ABSTRACT: The Prediction Error Filters Applied for Structural Dip Interpretation; #90133 (2011)
Alfredo Fernandez and Kurt J. Marfurt
Search and Discovery.com
... of the subsurface. One of these classification methods is the Prediction Error Filter (PEF) also known as Autoregressive Filters because they are calculated...
2011
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
Multi-Step Auto-Regressive Reconstruction of Nonuniformly Sampled, Aliased Seismic Records; #41563 (2015)
M. Naghizadeh, M. D. Sacchi
Search and Discovery.com
...) and/or sparseness constraints (Liu and Sacchi, 2004). We introduce a new strategy that combines the strengths of both prediction error methods and Fourier based...
2015
Abstract: Advanced Geophysical and Geological Solutions of Imaging and Interpreting Complex Carbonate Low Seismic Reflectivity Reservoirs in Abu Dhabi, UAE; #91204 (2023)
Khalid Obaid, Mohamed Mahgoub, Olivier Kirstetter, Oleg Khakimov, Peter Szafian, Paul van der Vegt
Search and Discovery.com
... Integrated Prediction Error Filter Analysis (INPEFA). Enhanced structural and stratigraphic definition were revealed by the integration of all solutions...
2023
Abstract: Seismic Data Decomposition into Spectral Components Using Regularized Nonstationary Autoregression; #90187 (2014)
Sergey Fomel
Search and Discovery.com
...(t) = A exp[ t] (with real or complex ) is predictable by a two-point prediction-error filter (1,- exp[ t]), or, in the Z-transform notation, (5) F0 (Z...
2014
Quantitative Interpretation: A Novel Approach using Spectral Trend Attribute Analysis and Iterative Wiener Filter in Characterizing Carbonate Reservoir on West Java Basin
Mohammad Hasyim Taufik, Adisa Putri Utami, Bagas Arya Wichaksana, Fitriah Nuraeni, Muhammad Reza
Indonesian Petroleum Association
... prediction error filter analysis (INPEFA), is performed to quantitatively correlate wells using gamma ray log. In a way to enhance the seismic resolution...
2019
Abstract: Velocity Model Building with Weighted Linearized Inversion A VSP Data Case Study; #90187 (2014)
Mingyu Zhang, Richard Kuzmiski, and Zhengsheng Yao
Search and Discovery.com
... velocity model where the prediction error between modeled data and observed data is minimal in a least squares sense, i.e. AAPG Search and Discovery...
2014
Cretaceous and Paleogene Coals in Japan as Source Rocks of Natural Gas and Petroleum; #90017 (2003)
Hiroshi Oda
Search and Discovery.com
... of cycles within the data series. Secondly, based on the prediction error calculation, Prediction Error Filter Analysis (PEFA) calculates the position...
2003
Porosity Prediction Using Multiattribute Transforms and Probabilistic Neural Networks Analysis from Limestone Formation in BSJ Gas Field, Central Sulawesi, Indonesia
Ikawati Basri, Sabrianto Aswad, Suryana, Ikhsan Novryan Priatama
Indonesian Petroleum Association
...., 2001): y = a + bx (2) The coefficients a and b may be derived by minimizing the mean-squared prediction error and can be written as: The weights...
2018
Abstract: Coherence and Measures of Coherence: An Advanced 3D Interpretive Processing Application
Leong Lap Sau, Ng Tong San
Geological Society of Malaysia (GSM)
... of coherence is defined in terms of power and cross-power spectra. It is related to the signal-to-noise ratio, to the minimum prediction error, and has...
1997
Interferometry Application to Interpolate Missing 2D Seismic Data in Shot Gathers
Lily Suherlina, M.Yusup Nur Khakim, Hilman Mardiyan, Roy Baroes
Indonesian Petroleum Association
.... The process is continued by a nonstationary prediction error filter to interpolate the near–offset missing traces in a 2D synthetic marine data...
2016
Abstract: Nonstationary Predictive Deconvolution; #90172 (2014)
Gary F. Margrave, Michael P. Lamoureux
Search and Discovery.com
... part of a time series which is then subtracted from the original signal to give the prediction error. When the prediction distance (or lag) is one...
2014
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
Deterministic and Statistical Wavelet Processing
Lee Lu
Southeast Asia Petroleum Exploration Society (SEAPEX)
... of its previous values. Such a prediction filter is usually designed by minimizing the L2 norm (See discussion in chapter III (e) of the error...
1980
Applying Cyclostratigraphy for Better Correlation Result and Comparison with Sequence Stratigrphy
Ikhsansyah Putra Pratama, Lisa Helnasi, Ridjvandra Ranjani, Prayoga Wahyu P, Fadel Muhammad, Mohammad Reza, Zakaria Yahya, Ahmad Yuda Pratama, Desma Risqullah W
Indonesian Petroleum Association
... in Prediction Error Filter Analysis (PEFA). The integrated PEFA is called Integrated PEFA log (INPEFA) as a tool to determine cyclostratigraphy...
2016
First arrival enhancement by statics preserving filtering using surface-consistent constraints
Alejandro Quiaro, Mauricio D. Sacchi
International Meeting for Applied Geoscience and Energy (IMAGE)
... the problem is by using prediction error filtering (PEF). The PEF would allow attenuating random noise (Soubaras, 1994). However, in its theoretical...
2023
Total Organic Carbon Content Estimation of Bakken Formation, Kevin-Sunburst Dome, Montana using Post-Stack Inversion, Passey (DLogR) Method and Multi-Attribute Analysis
Silas Adeoluwa Samuel, Rui Zhang
Unconventional Resources Technology Conference (URTEC)
... for any given set of attributes where the mean-squared prediction error between the actual target logs and the predicted target logs is minimized. Stepwise...
2021
Lithologic Prediction from Seismic Attributes in the Balcon Field, Colombia
J. E. Calderon
Asociación Colombiana de Geólogos y Geofisicos del Petróleo (ACGGP)
... it is possible to obtain the set of attributes that are optimal in the sense that the mean-squared prediction error between the actual target logs...
2004
Abstracts: Application of Neural Network Analysis and Post-Stack Inversion - Case Studies in Alberta; #90173 (2015)
Somanath Misra and Satinder Chopra
Search and Discovery.com
... pass filter (10-15 Hz). The updated model corresponding to the minimum of the data misfit criterion is considered to be the accepted P-impedance...
2015
GCMultispectral Coherence Attribute Applications, #42258 (2018).
Satinder Chopra, Kurt J. Marfurt
Search and Discovery.com
... error filter-based, gradient structure tensor-based and energy ratio-based. These algorithms vary in how they handle lateral variations in amplitude...
2018
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user
Search and Discovery.com
... the strengths of both prediction error methods and Fourier based methods to cope with the problem of reconstructing nonuniformly sampled, aliased data...
Unknown
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user
Search and Discovery.com
... the strengths of both prediction error methods and Fourier based methods to cope with the problem of reconstructing nonuniformly sampled, aliased data...
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