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The AAPG/Datapages Combined Publications Database
Showing 15,635 Results. Searched 200,691 documents.
Predicting S-wave sonic logs using machine learning with conventional logs for the Delaware Basin, Texas
Jaewook Lee, Yangkang Chen, Robin Dommisse, Alexandros Savvaidis, Guo-chin Dino Huang
International Meeting for Applied Geoscience and Energy (IMAGE)
...) models to determine the optimal prediction algorithm. The results demonstrate the superior performance of our MLR and ML models compared...
2023
Method of seismic wave advance geological prediction in soft layer
Xingmeng Dong, Zhoutuo Wei, Yuwen Zhai, Jigen Xia
International Meeting for Applied Geoscience and Energy (IMAGE)
...Method of seismic wave advance geological prediction in soft layer Xingmeng Dong, Zhoutuo Wei, Yuwen Zhai, Jigen Xia Method of seismic wave advance...
2022
Improving CO2 Prediction at The Reservoir Level Using Gas Samples: Case study in Pattani Basin, Gulf of Thailand
Pakawat Paibon, Rampueng Kawphoy
Southeast Asia Petroleum Exploration Society (SEAPEX)
...Improving CO2 Prediction at The Reservoir Level Using Gas Samples: Case study in Pattani Basin, Gulf of Thailand Pakawat Paibon, Rampueng Kawphoy...
2025
Multi-dimensional inverse scattering series internal multiple model construction via orthogonal contribution summation
Frederico Xavier de Melo, Zhiming James Wu
International Meeting for Applied Geoscience and Energy (IMAGE)
...) based algorithms to predict internal multiples under a new forward prediction parameterization perspective. The intricate nature and rapid variability...
2024
AAPG Memoir 76, Chapter 16: Pore Pressure ahead of the Bit: An Integrated Approach
Nader C. Dutta, William H. Borland, W. Scott Leaney, Richard Meehan, and W. Les Nutt
AAPG Special Volumes
... Meehan, and W. Les Nutt 2001 165 169 AAPG Memoir 76: Pressure Regimes in Sedimentary Basins and Their Prediction Dutta, N. C., ed., 1987, Geopressure...
2001
Abstract: Multi-Disciplinary Pore Pressure Prediction : Reconciliate Geophysics and Basin Modeling to Control Risks and Uncertainties in Drilling Operations (Geophysics Poster 27)
G. Lecante, P. Wojciak, N. Bianchi
Geological Society of Malaysia (GSM)
...Abstract: Multi-Disciplinary Pore Pressure Prediction : Reconciliate Geophysics and Basin Modeling to Control Risks and Uncertainties in Drilling...
2011
Abstract: Better Prediction of Fluid-flow Modeling -Multi-Component Modeling of Petroleum Migration and Accumulation, by Armin Kauerauf,Thomas Hantschel, and Robert Tscherny; #90066 (2007)
Search and Discovery.com
2007
Abstract: Thin Bed Reservoir Thickness Prediction Using Tuned 3D Seismic Impedance, by M. L. Shoemaker, R. D. Harger, T. E. Shaw, S. M. Brown, O. P. Langton, S. T. Quimby, and N. L. Anderson; #90078 (2008)
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2008
2009
2009
Rock Microcharacterisation — A New Petrographic Approach to Reservoir Quality Prediction: Methodology and Case Study, Ortenzi, Andrea; Arduini, Monica; Golfetto, Francesca, #90100 (2009)
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2009
Abstract: Sequence Stratigraphy 25 Years Down the Road: Technology Dependencies, Current Practices and Evolving Methods for Prediction of Petroleum Systems, by Ole J. Martinsen; #90101 (2010)
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2010
2010
ABSTRACT: Application of True-Azimuth 3-D SRME to Onshore Data — A Case Study, by van Borselen, Roald; Barnes, Simon; Salazar, Humberto; Vázquez, Alfredo; Rubén Ronzón, Israel; #90141 (2012)
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2012
ABSTRACT: Permian Carbonate Porosity Prediction Using Quantum Resonance Interferometry Processing, by Gulati, Arushi; Bogdan, Robert; #90142 (2012)
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2012
2012
Abstract: Modeling Production and Prospectivity in the Austin Chalk to Optimize Well Placement, Productivity and Completion Design, by Sean Boerner, Rohit Singh, and Ross Peebles; #90164 (2013)
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2013
Abstract: An Overview of 1-D Biodegradation Modeling for Pre-Drill Prediction of Oil Quality, by Marcano, Norka; Larter, Steve; and Bennett, Barry; #90166 (2013)
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2013
Lower Triassic Tight Sand Reservoirs Prediction Technology Combined of Post- and Pre-stack Seismic Inversion in MX Area, Junggar Basin
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Prediction of Lithologies and Reservoir Quality Using Well Logs in Wolfbone Play in the Delaware Basin, West Texas
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Machine-Learning Assisted Reservoir Property Prediction: A Case Study From the Triassic Snadd and Kobbe Formations, Norwegian Barents Sea
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A New Method to Improve the Prediction Accuracy on TOC of Source Rock by BP Neural Network Model
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