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The AAPG/Datapages Combined Publications Database
Showing 163 Results. Searched 195,387 documents.
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
Predicting Seismic Data Quality from Multispectral Satellite Imagery in Alberta Oil Sands; #41335 (2014)
Andrew V. Barrett, Art Siewert, and Ron Weedmark
Search and Discovery.com
... of the cluster. 6) Using that subset of quality factors, estimate a linear prediction function (and associated prediction error) which optimally predicts...
2014
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
Impact of Natural Fracture Induced Elastic Anisotropy on Completion and Fracturing Design in Different Shale Reservoirs
Emre Can Dundar, Aymen Alhemdi, Ming Gu
Unconventional Resources Technology Conference (URTEC)
... barrier. In the figure, the Y axis is the prediction error of stress barriers, which is calculated from the stress barrier predicted by the TI model...
2019
PVT Correlations for Unconventional Reservoir Fluids Bridging Lab and Field Applications
Michael B. Cronin, Edward C. Wanat, Thomas A. Blasingame
Unconventional Resources Technology Conference (URTEC)
..." prediction error for retrograde fluid data. Figure 1b — Predicted versus measured saturation pressure (psat) for the Dindoruk and Christman correlation...
2023
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
A New Method for Handling the Nugget Effect in Kriging
K. Krivoruchko, A. Gribov, J. M. Ver Hoef
AAPG Special Volumes
... on filtered kriging produces smoother maps without the jumps. A consequence of filtering is that the standard error of prediction is smaller because...
2006
Porosity distribution prediction of untapped Gumai Formation by applying multi-attribute analysis: A case study in South Sumatra Basin
Mohammad Risyad, Muhammad Fahmi Yahya Faizan
Petroleum Exploration Society of Australia (PESA)
... prediction value and error validation value are required as parameters to determine the best seismic attribute group that is used to predict the target...
2019
Permeability Prediction Using Projection Pursuit Regression in the Abadi Field
Ricardo Oentoe, Kentaro Hasebe, Masahiko Nomura
Indonesian Petroleum Association
... between log derived Kh and well test Kh in this interval may be the porosity estimation error propagates to permeability prediction. This permeability...
2016
Abstract: Density Analysis to Predict Carbonate Reservoirs in Volcanic Clastic Environment, Implications, by Ary Wahyu Wibowo, Astri Pujianto, Wisnu Hindadari, Rusalida Raguwanti, and Yuda Faisal Yushendri; #90166 (2013)
Search and Discovery.com
2013
Abstract: Shear Log Estimation by Rock Physics Assist Machine Learning Approach an Offshore Abu Dhabi Case Study; #91204 (2023)
Hiroyuki Inoue
Search and Discovery.com
... applying bandpass filter. Therefore, the evaluation criteria of this prediction are not only depth by depth prediction error but also a vertical trend...
2023
Optimizing Engineering for Permian Geology/Fluid Using Model-Based Analytics, #11151 (2018).
Murray Roth, Michael Roth,
Search and Discovery.com
... Quality Average correlation of predictions for included wells Total wells in prediction model Average prediction error for future wells Average...
2018
Functional Relationships of Proximate, Ultimate and Petrographic Data with Rock-Eval Pyrolysis Parameters from Coal
J.D. Yeakel
The Society for Organic Petrology (TSOP)
.... The prehction errors for functions 1-3 are between 53 and 63 mg HC/g of rock in 90% of the cases tested. This prediction error represents the expected error...
1994
Core Driven Hierarchical Facies Modeling of Shoreface Environments: A Case Study from Offshore Sabah, Malaysia; #20204 (2013)
Sachin K. Sharma, Michael Chin, Tanwi Basu, Ram Oruganti Bhargava, Richard Henson, Long Jiang, Mimi Azura B. Shuhaimi, and Luca Vizzini
Search and Discovery.com
... the training and prediction error. Integrated log patterns of these inputs were used to characterize five lithofacies in the cored wells (high quality...
2013
Evaluation of Radial Basis Function Neural Networks in Reservoir Characterization of Caddo Member in Boonsville Field, Texas, #20219 (2013)
Tao Zhao, Kumar Ramachandran
Search and Discovery.com
... porosity prediction error is around 20%. Reference Cited Chao, J., M. Hoshino, T. Kitamura, and T. Masuda, 2001, A multilayer RBF network and its...
2013
Finding a Better Path to Impedance Inversion; #41722 (2015)
Amit Kumar Ray, Ritesh Kumar Sharma, Satinder Chopra
Search and Discovery.com
... it. This analysis is repeated as many times as there are wells on the 3-D volume. Once this is done, the cross-validation prediction error is calculated...
2015
Organically-Rich Sweet Spot Determination in Utica Shale; #42137 (2017)
Satinder Chopra, Ritesh Kumar Sharma, Hossein Nemati, James Keay
Search and Discovery.com
... the training data set and the prediction error is calculated at the excluded well location. The analysis is repeated for all wells, each time excluding...
2017
Innovative Petrophysical Evaluation Workflow Enhances Production: A Case Study from Barmer Basin, NW India; #42200 (2018)
A.K. Bora, P. Majumdar, S. Verma, S. Konar, P. Kumar, P. Shankar, V. Kothari
Search and Discovery.com
... Background Prediction error in KH can impact most in forecasting the production rates. Hence KH prediction is the most important criteria in tight...
2018
Automated Salt Recognition in 2D Seismic and Mapping Basin-Wide Salt in the Gulf of Mexico, #42367 (2019).
Scott Morris, Tony Dupont, Shuang Li, John D. Grace,
Search and Discovery.com
... 0.15 Color Total 3.61 Point-Wise Grade: • Decimate Graded Line • Estimate Grade Surface via Kriging • Estimate Prediction Error Surface • Produce...
2019
Determination of Density from Seismic Data; #42456 (2019)
Ritesh Kumar Sharma, Satinder Chopra
Search and Discovery.com
...-validation criteria, in which one well at a time is excluded from the training data set and the prediction error is calculated at the excluded well location...
2019
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
Exploring the Thin Talangakar Formation Sandstone Using Integrated Seismic Multi-Attribute Analysis and Spectral Decomposition in Kuang Area, South Sumatra Basin, #10900 (2016).
Noor Cahyo Wibowo
Search and Discovery.com
... has been described by Hampson et al. (2001): 1. Search for the best attribute that has the lowest prediction error. 2. Find the second attribute...
2016
Biostratigraphy and sequence stratigraphy of the Oligocene succession, offshore Nile Delta, southeastern Mediterranean, Egypt, and its paleoenvironmental implications
Ahmed Zakaria, Nabil Aboul Ela, and Samy Ahmed Mohamed
AAPG Bulletin
... and stratigraphic interpretations from the log data. This Cyclolog processing of the data resulted in two patterns of curves, which are prediction error filter...
2019
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
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