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The AAPG/Datapages Combined Publications Database
Showing 163 Results. Searched 195,354 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
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
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
Abstract: A First Attempt to Predict Delta System Dynamic with Artificial Neural Networks, by E. Puhl, O. C. Pedrollo, A. L. O. Borges, and R. D. Maestri; #90090 (2009).
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2009
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
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
Application of 3
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N/A
Alpine Oil Field
Search and Discovery.com
N/A
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
Abstract: The Approximate use of 1D Internal Multiple Prediction in a Multidimensional World: Errors and Recommendations; #90224 (2015)
Pan Pan and Kris Innanen
Search and Discovery.com
... the relative travel time error between predicted and actual multiples is plotted in Figure 4. We can see that as the offset becomes larger, prediction error...
2015
ABSTRACT: A Robust Method for Q Estimation, by Taner, M. Turhan, Sven Treitel; #90026 (2004)
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2004
Abstract: Critical Review, Calibration, and Ranking of Popular Velocity-Based Pressure Prediction Models, by Mario A. Gutierrez, Neil Braunsdorf, and Brent Couzens; #90039 (2005)
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2005
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: Evaluation of Radial Basis Function Neural Networks in Reservoir Characterization of Caddo Member in Boonsville Field, Texas, by Tao Zhao and Kumar Ramachandran; #90176 (2013)
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2013
Spatial Sampling Bias in Decision Tree Machine Learning Method for Unconventional Resources
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N/A
Cretaceous and Paleogene Coals in Japan as Source Rocks of Natural Gas and Petroleum; #90017 (2003)
Hiroshi Oda
Search and Discovery.com
... Sanriku-Oki borehole and outcrops a series of data points is analyzed to predict the next points in the series. In MESA, the prediction error...
2003
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
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: 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
Surface Prediction using Rejection Sampling to Handle Non-linear Constraints
Petter Abrahamsen, Pål Dahle, Vera Louise Hauge, Ariel Almendral-Vazquez, Maria Vigsnes
CSPG Bulletin
...on for the prediction error. Simulated realizations using (4) are almost exact. There is a minor approximation that involves ignoring a correlation betwe...
2015