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The AAPG/Datapages Combined Publications Database
Showing 6,246 Results. Searched 200,293 documents.
Exploration-Scale Predrill Reservoir-Quality Prediction Strategies for Gulf of Mexico Basin Sandstones and Carbonates
Brown, Alton A.
GCAGS Transactions
... be used to predict sandstone and carbonate reservoir quality: seismic detection, analog/statistical prediction, petrological analysis, and numerical...
2002
ABSTRACT: The Use of Petrofacies for Reservoir Quality Prediction Using Diagenetic Models, by L. M. Bonnell, I. Toenne, R.H. Lander, and R. E. Larese; #90906(2001)
Search and Discovery.com
2001
N/A
Applied Insight From Machine Learning Applications Using Analog Data
Search and Discovery.com
N/A
Uncertainty Analysis in a Mature Field: Dibi Field Case Study
Djuro Novakovic, Joy Roth
AAPG Special Volumes
...:10.2118/38014-PA.Zhang, T., and Y. Du, 2010, A novel method for information prediction: International Conference on Signal Acquisition and Processing...
2011
Predicting 3-D Connectivity From Core and Seismic: An Example From Outcropping Deep-Water Slope Channels
Search and Discovery.com
N/A
Quantifying Reservoir Performance for Deepwater Slope Channel Deposits
Thomas Smith
GEO ExPro Magazine
.... If it does, when is it important and what is the amount of simplest case, a single channel element,” error that could be introduced by not says Casey...
2016
Chapter 13: Linking Cognitive Science and Disciplinary Geoscience Practice: The Importance of the Conceptual Model
Thomas F. Shipley, Basil Tikoff
AAPG Special Volumes
...-section prediction error is reporting the perspective shape of the 3-D solid at the cut location (Cohen and Hegarty, 2014). Students often misunderstand...
2016
Abstract: Basin Scale Modeling of Pore Pressure, Rock Stress and Failure: Method and Applications; #90252 (2016)
Thomas Hantschel
Search and Discovery.com
... Currently three methods are used for the prediction of pore pressure and rock stress before drilling: log analysis of analog wells, seismic attribute...
2016
Evaluating the Impact of Precision Targeting on Production in the Midland Basin using Machine Learning Algorithms
T. Cross, J. Reed, K. Sathaye, K. Darnell, K. Crifasi, D. Niederhut
Unconventional Resources Technology Conference (URTEC)
... be improved. This type of information could expand capabilities to objectively identify analogs that were not previously obvious. This larger analog list...
2020
Reservoir Quality Prediction in Sandstones and Carbonates: An Overview
Julie A. Kupecz, Jon Gluyas, Salman Bloch
AAPG Special Volumes
...Reservoir Quality Prediction in Sandstones and Carbonates: An Overview Julie A. Kupecz, Jon Gluyas, Salman Bloch 1997 VII XXIV AAPG Memoir 69: AAPG...
1997
2013
Lithofacies prediction of shale based on broadband spectral inversion
Hongmei Luo, Yiran Xing, Changjiang Wang, Jingtao Zhang, Peijie Yang
International Meeting for Applied Geoscience and Energy (IMAGE)
...Lithofacies prediction of shale based on broadband spectral inversion Hongmei Luo, Yiran Xing, Changjiang Wang, Jingtao Zhang, Peijie Yang...
2022
Abstract: The Improved Prediction of Permeability Variation in Selected Rotligendes Aeolian Reservoirs from the Southern North Sea Basin, by J. J. M. Lewis and K. J. Rosvoll; #91004 (1991)
Search and Discovery.com
1991
Sequence Stratigraphy, Play Analysis and Reservoir Prediction within a Lacustrine Intracratonic Rift Basin, Western Snake River Plain, Idaho
Search and Discovery.com
N/A
Two-Dimensional Equation-of-State Modeling of Adsorption of Coalbed Methane Gases
Khaled A. M. Gasem, Zhejun Pan, Sayeed Mohammad, Robert L. Robinson Jr.
AAPG Special Volumes
..., M. Sudibandriyo, J. E. Fitzgerald, Z. Pan, and R. L. Robinson Jr., 2005, Measurement and prediction of single- and multi-component methane, carbon...
2009
Advanced digital tools for passive seismic monitoring of a heavy oil field at Cold Lake, Alberta, Canada
Adarsh Kumar Gupta, Stefano Scaini, Ravi Singh, Simona Costin, Colin Brisco, Raj Janakkumar Bhutwala, Shelly Dutta, Monomita Chattopadhyay, Divyanshu Yadav, Taylor Fink
International Meeting for Applied Geoscience and Energy (IMAGE)
..., and can be prone to human error. Imperial has designed and developed several digital applications to address the challenges inherent to manual data...
2024
From Geological Complexity to Operational Uncertainty A Monte Carlo Modelling Approach
B. J. Davies, S. Orozco Echeverri
Asociación Colombiana de Geólogos y Geofisicos del Petróleo (ACGGP)
... petrophysical properties), and in sparsely or analog data are used to fit statistical drilled reservoirs this may yield only a handful distributions for all...
2006
Optical Methods for Monitoring Treating Chemicals in Oilfield Water Systems
Dale F. Brost, Frank M. Rexach, Gregory A. Winslow
Indonesian Petroleum Association
... was 54.7%. Results for the corrosion inhibitor were somewhat better, with an average relative error of 22.2%. Table 2. Univariate Prediction Results...
1991
Improve automatic migrated gather processing with feature engineering and 4D convolutional neural networks
Wen Pan, Harry Rynja, Ramakrishna Dandu, Zaifeng Liu, Shuzhen Ye, Antonio De Lilla, Jay Chen, Jeremy Vila
International Meeting for Applied Geoscience and Energy (IMAGE)
..., and 𝐴𝐴∗ is the final prediction from the model. 𝑐𝑐 Because of the stationarity introduced by AVC, there is no need for perceptual loss, only mean squared error...
2024
Making Seal Uncertainty the Opportunity: Global Analog-Based Seal Insight
Search and Discovery.com
N/A
Abstract: Analysis of Physical Models Using X-Ray Tomography, with Application to Seismic Interpretation of Basin Inversion, by J. Letouzey, B. Colletta, R. Vially, P. Bale, and J-C. Chermette; #91012 (1992).
Search and Discovery.com
1992
Abstract: Reservoir Characterization of Thinly Laminated Heterolithic Facies Within Shallow-Marine Sand Bodies, by R. Gupta, H. Johnson, and B. Myking; #90951 (1996).
Search and Discovery.com
1996
Abstract: Josephine Prospect, Cognac Field, MC195 A "Typical" Shelf Deep Pool Discovery
Search and Discovery.com
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