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The AAPG/Datapages Combined Publications Database
Showing 15,646 Results. Searched 200,756 documents.
Upwelling Prediction
Eric J. Barron, George T. Moore
Special Publications of SEPM
...Upwelling Prediction Eric J. Barron, George T. Moore PART III INVESTIGATION OF SPECIFIC VARIABLES OR CRITICAL ASPECTS OF THE CLIMATE SYSTEM...
1994
Using ANN Prediction in Carbonate Reservoir Properties: Implications for Large-Scale Reservoir Correlation
Abdallah Abdelkarim, John Humphrey
Unconventional Resources Technology Conference (URTEC)
...Using ANN Prediction in Carbonate Reservoir Properties: Implications for Large-Scale Reservoir Correlation Abdallah Abdelkarim, John Humphrey URTeC...
2024
Fault displacement-distance relationships as indicators of contractional fault-related folding style
Amanda N. Hughes, John H. Shaw
AAPG Bulletin
...Fault displacement-distance relationships as indicators of contractional fault-related folding style Amanda N. Hughes, John H. Shaw 2014 227 251 98 2...
2014
Combined Application of Unsupervised and Deep Learning in Absolute Open Flow Potential Prediction: A Case Study of the Weiyuan Shale Gas Reservoir
Lian Wang, Yuedong Yao, Kongjie Wang, Caspar Daniel Adenutsi, Guoxiang Zhao
Unconventional Resources Technology Conference (URTEC)
...Combined Application of Unsupervised and Deep Learning in Absolute Open Flow Potential Prediction: A Case Study of the Weiyuan Shale Gas Reservoir...
2021
Machine Learning for Estimating Rock Mechanical Properties beyond Traditional Considerations
Yiwen Gong, Mohamed Mehana, Ilham El-Monier, Feng Xu, Fengyang Xiong,
Unconventional Resources Technology Conference (URTEC)
... contributor to the mechanical rock property estimation as they are counted as percentages. Thus, they are not included in Young’s modulus prediction...
2019
Machine Learning Based Decline Curve - Spatial Method to Estimate Production Potential of Proposed Wells in Unconventional Shale Gas Reservoirs
Y. Kocoglu, M. E. Wigwe, G. Sheldon, M. C. Watson
Unconventional Resources Technology Conference (URTEC)
..., the EUR of the new wells were compared to the original training and test data to observe any discrepancies in the prediction and necessary adjustments...
2020
A deep learning based surrogate and uncertainty quantification for fast electromagnetic modeling in complex formations
Yuchen Jin, Chaoxian Qi, Li Yan, Yueqin Huang, Xuqing Wu, Jiefu Chen
International Meeting for Applied Geoscience and Energy (IMAGE)
... another metric, Wasserstein distance. Denote the DNN prediction and rigorous model response as y p as yq respectively. The distance is formulated as D(p...
2022
Interpreting Inter-Well Poroelastic Pressure Transient Data: An Analytical Approach Validated with Field Case Studies
Brendan Elliott, Ripudaman Manchanda, Puneet Seth, Mukul M. Sharma
Unconventional Resources Technology Conference (URTEC)
... perpendicular distance from the fracture face, and as expected increase fracture height, yields a wider width at the origin, and larger observed pressure...
2019
Mass-Balance Effects in Depositional Systems
Chris Paola, John M. Martin
Journal of Sedimentary Research (SEPM)
..., and implications for stratigraphic prediction and propose an alternative framework for applying this and other simple models to complex natural...
2012
Time-Lapse Monitoring with Satellite Data for Reservoir Management, #40921 (2012)
Andrea Tamburini, Marco Minini, Andy Higgs, Giacomo Falorni, Stefano Cespa
Search and Discovery.com
... reservoir management and prediction of future performance with obvious economic benefits. It relies on an integrated approach involving both surveillance...
2012
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
... at the VSP collection point), and 2) a high level of accuracy was required in the depth prediction. Using an inversion method to analyze the VSP data...
1996
Stress Determination in Overpressure Zone of East Java Basin
Sena W. Reksalegora, Lambok M. Hutasoit, Agus H. Harsolumakso, Agus M. Ramdhan
Indonesian Petroleum Association
... are considered to be in the overpressure zone. Vertical Stress (Sv) Magnitude Prediction Sv at a specified depth is defined as the pressure resulted from...
2017
Automated Well Top Picking and Reservoir Property Analysis of the Belly River Formation of the Western Canada Sedimentary Basin
Baosen Zhang, Tianrui Ye, Yitian Xiao, Dongmei Li, Guoping Wang, Cong Su, Tongyun Yao
Unconventional Resources Technology Conference (URTEC)
... by anyone other than the author without the written consent of URTeC is prohibited. Abstract Accurate well top picking and reservoir property prediction...
2022
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
... (t) + w3A3 (t) (3) Weighting (weight) on this composition is made with minimize mean-squared prediction errors: b-attribute. The three best attributes...
2019
Machine Learning Applications for Reservoir Pressure Trend Prediction in Potash Area of Delaware Basin
Olabode Thomas Ajibola, James Sheng, Phillip McElroy, Ebru Ulna
Unconventional Resources Technology Conference (URTEC)
...Machine Learning Applications for Reservoir Pressure Trend Prediction in Potash Area of Delaware Basin Olabode Thomas Ajibola, James Sheng, Phillip...
2022
Statistical Prediction of Porosity in the Permian Zechstein 2 Carbonate of Northern Germany, by K. M. Love, C. Strohmenger, and K. Rockenbauch; #90986 (1994).
Search and Discovery.com
1994
Abstract: Probabilistic Prediction of Reservoir Quality in Deep Water Prospects Using an Empirically Calibrated Process Model, by L. M. Bonnell, R. H. Lander, J. C. Matthews, and C. J. Lowrey; #90923 (1999)
Search and Discovery.com
1999
Abstract: Probabilistic Prediction of Reservoir Quality in Deep Water Prospects Using an Empirically Calibrated Process Model, by Linda M. Bonnell, Robert H. Lander, and James C. Matthews; #90914(2000)
Search and Discovery.com
2000
ABSTRACT: Integrating Geological, Logging, and Seismic Information for Pore Pressure Prediction, by Li-Yun Fu, Kevin Dodds, and Xiuming Wang; #90913(2000).
Search and Discovery.com
2000
ABSTRACT: Prediction Of Reservoir Quality (Porosity/Permeability) In Frontier Basin Carbonates, by Alton A. Brown; #90906(2001)
Search and Discovery.com
2001
Abstract: Geological Perception of Pore and Fracture Prediction: Case Histories from the Gulf of Mexico, by Selim S. Shaker; #90032 (2004)
Search and Discovery.com
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)
Search and Discovery.com
2005
Abstract: Geophysical Pressure Prediction for Ultra-Deep Wells: When the Reservoir Becomes the Enemy, by Alan R. Huffman; #90077 (2008)
Search and Discovery.com
2008
2012
Spatial Sampling Bias in Decision Tree Machine Learning Method for Unconventional Resources
Search and Discovery.com
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