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The AAPG/Datapages Combined Publications Database
Showing 186 Results. Searched 201,044 documents.
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
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
A Deep Learning Approach to Predicting Remaining Useful Life for Downhole Drilling Sensors Using Synthetic Data Generation
Aamir Bader Shah, Yu Wen, Jiefu Chen, Xuqing Wu, Xin Fu
Unconventional Resources Technology Conference (URTEC)
...% demonstrating lowest prediction error on all test cases. XGBoost being the second best with an RMSE of 8.28% and MAPE of 17.30%. The approach implies...
2024
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
Facies-induced bias in machine learning-enhanced seismic lithology (inversion)
Hongliu Zeng, Bo Zhang, Mariana Olariu
International Meeting for Applied Geoscience and Energy (IMAGE)
... prediction error (or large explained variance, R2) appears at the training well and surrounding area of the same facies (FP), which increases (or R2...
2022
Simultaneous inversion of tight sandstone reservoir fluid and brittleness index based on frequency-dependent AVO
Tianjun Lan, Zhaoyun Zong
International Meeting for Applied Geoscience and Energy (IMAGE)
.... In order to reduce the reservoir prediction error and improve the calculation efficiency, the PP-wave reflection coefficient equation characterized...
2023
High resolution imaging using multiples A North Sea case study
Chandan Kumar, Rodney Johnston, Petr Jilek, Xiaolei Song, Mikhail Davydenko
International Meeting for Applied Geoscience and Energy (IMAGE)
... for imaging requires steps like debubble, designature and prediction error filtering to remove the bubble energy and multiples. We observe...
2024
Improved Latin hypercube sampling inversion method of effective reservoir parameter considering compaction trend
Xuan Zheng, Zhaoyun Zong, Kun Luo
International Meeting for Applied Geoscience and Energy (IMAGE)
... the seismic data and inversion results. We can find that the compaction trend causes a large error in the effective reservoir prediction, which...
2024
Estimation of Permeability from Multi Rate Production Logging in Multilayer Reservoirs: A Case Study for Gas Condensate Reservoir
Andi Irawan, Moch Rushatmanto
Indonesian Petroleum Association
... in production prediction. The aim of this study is to improve permeability estimation by incorporating production logging data, which is frequently...
2019
Integrated Geological and Geophysical Analysis by Hierarchical Classification: Combining Seismic Stratigraphic and AVO Attributes (Geophysics Paper 12)
Alexis Carrillat, Tanwi Basu, Raul Ysaccis, Shye Aik Chong, Amiruddin Mansor, Martin Brewer
Geological Society of Malaysia (GSM)
... saturation and a seismic attribute captured by neural network training. To quantify the prediction error, the estimation workflow has been performed...
2008