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The AAPG/Datapages Combined Publications Database
Showing 163 Results. Searched 195,387 documents.
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
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
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
Quantitative Petrophysical AVO Error Analysis in a Layered Model
Search and Discovery.com
..., Canada Summary In order to minimize reservoir prediction error risk from AVO inversion, it is necessary to study the uncertainties of this inversion...
2013
Seismic and Structural Analysis of a Trenton-Black River Hydrothermal Dolomite Reservoir, by Justine Sagan and Bruce Hart, #40129 (2004).
Search and Discovery.com
2004
Formation Pressure Correction to Enhance the Prediction of the OWC in a Normal Pressure Reservoir, #42105 (2017).
Qian Geng, Su Yanchun, Yang Haifeng, Jianmin Zhang, Zhanhua Zhang, Jia Zhen, Liu Xue
Search and Discovery.com
...=0.791g/cm3 HOWC=-1407.8m - 1 6 40 Well-6 5.4 Reduce the prediction error in Sand 4-1300 5.3 Decrease the deviation in Sand 5-1419 OWC:-1659.2m...
2017
A Parsimonious Approach to Gravity Inversion for Salt Shape Delineation; #42417 (2019)
Simone Re, Luca Masnaghetti, Elena Medina
Search and Discovery.com
...) and predicted (black) gravity data along a profile, in mGal. (e) The data prediction error (red) corresponding to (d), in μGal...
2019
Hydrocarbon Accumulation Uncertainty in Miocene Carbonate Build-Ups, NEJB, #11295 (2020).
Ginanjar Mahar Pamungkas
Search and Discovery.com
... for any prediction error • • INTRODUCTION • STATISTICS • PROBLEM • EFFORTS • CONCLUSIONS EFFORTS FOR UNCERTAINTIES 1. Define concepts and/or analog...
2020
Machine Learning Models for Predicting the Rheology of Nanoparticle-Stabilized-CO2-Foam Fracturing Fluid in Reservoir Conditions
Toluwalase Adeola Olukoga, Yin Feng
Unconventional Resources Technology Conference (URTEC)
... (MSE): absolute assessment of the goodness of fit. By squaring error, the penalty for substantial prediction errors is increased. (6) iii. Root Mean...
2021
An Empirical Correlation to Predict Relative Permeability in Fractured Reservoirs Considering the Stress State and the Capillary Number
Kelly Díez, Alejandro Restrepo, Alirio Ocampo, Jonny Patiño, Juan Rayo, Diego Ayala, Luis Rueda
Unconventional Resources Technology Conference (URTEC)
... c14 0,15 c15 2073,30 Table 3. Correlation parameters for W-O Kr prediction at variable Nc and σ´. Results The error is calculated by the least...
2022
Data Driven Oil Production Prediction and Uncertainty Quantification for Unconventional Asset Development Planning Through Machine Learning
Xiang (Rex) Ren, Jichao Yin, Feng Xiao, Sasha Miao, Sri Lolla, Changqing Yao, Steve Lonnes, Huafei Sun, Yang Chen, James S. Brown, Jorge Garzon, Piyush Pankaj
Unconventional Resources Technology Conference (URTEC)
... the uncertainty of the estimator given a known predicted value or a known true label. URTeC 3865670 6 Figure 6. Prediction error quantifications. 1...
2023
A Model Ranking Approach for Liquid Loading Onset Predictions
Hao Jia, Jianjun Zhu, Guangqiang Cao, Yingda Lu, Bo Lu, Haiwen Zhu
Unconventional Resources Technology Conference (URTEC)
... error (11) Mean absolute error (12) R2 (13) Absolute deviation (14) Maximum deviation (15) Prediction percentage with >50% error (16...
2021
Deep learning based microearthquake location prediction at Newberry EGS using physics-informed synthetic dataset
Zi Xian Leong, Tieyuan Zhu
International Meeting for Applied Geoscience and Energy (IMAGE)
... learning methods, the PMLP enables uncertainty quantification. In synthetic tests, the model demonstrates low prediction errors (~ 40 m distance error...
2023
Development of the Goodwyn Gas Field, Dampier Sub-Basin
A. Young
Petroleum Exploration Society of Australia (PESA)
... methodology being used. The average prediction error for the whole campaign is 3 m shallower than prognosed. Development wells GWAOl to GWA07 have...
1998
Fractured Reservoir Characterization: Integrating Production and Seismic Data to Optimize Well Placement in Bluebell Field, Uinta Basin, NE Utah
Steven L. Adams, James Schuelke, Dennis Shannon, John Kucewicz, Christopher Latkiewicz
Unconventional Resources Technology Conference (URTEC)
..., the correlation was only 43 percent, with a probability error range of approximately one million barrels of fluid, resulting in an unacceptable prediction map...
2014
Predicting Formation Target Depth Ahead of the Bit with High Accuracy: A Case Study from the Arun Field for a Deviated Well
William L. Soroka
Indonesian Petroleum Association
..., a prediction was made that was in error by less than one foot. The need for setting casing close to the reservoir interface was due to the fact...
1996