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The AAPG/Datapages Combined Publications Database
Showing 15,613 Results. Searched 200,357 documents.
Chapter 129: Architecture of a Laterally Migrating Channel Complex — Isaac Formation, Windermere Supergroup, British Columbia, Canada
C. J. O’Byrne, C. Pirmez, M. D. Barton, H. Buergisser, G. S. Steffens
AAPG Special Volumes
.... 85–88. Mayall, M., and C. J. O’Byrne, 2002, Reservoir prediction and development challenges in turbidite slope channels: Paper 14029, Offshore...
2007
Resolving Uncertainty: The Importance of Mud Logging
Neil Cardy
GEO ExPro Magazine
... be correlated with depth, by measuring the circulation or Baker Hughes lag time of the drilling fluid. In 1940, J. T. Hayward presented a paper...
2015
Seafloor elastic parameters estimation using a regression neural network
Moacyr de Souza Bezerra, James Simmons, James Gaiser
International Meeting for Applied Geoscience and Energy (IMAGE)
... associated with that model while the red circles represent the network prediction. The agreement is excellent. Figure 7: Comparison of true S-wave Evjen...
2022
Temperature Profile and Geothermal Gradient in Block B West Natuna Basin; Case Study: the Impact on SW Calculation for Lower Arang Zone Belut-1 Well
Budi R Permana, Miftahul Firdaus
Indonesian Petroleum Association
... of having a reservoir fluid temperature that is less than the actual reservoir temperature if the lag time after mud circulation is short. A best practice...
2014
Role of Multivariate Analysis to Define the Key Driver's Governing the Well Productivity in Marcellus Shale Play
Mohit Gupta, Promel Jain, Akhil Shrivastava, Mukul Srivastava, Bhabesh Deka
Unconventional Resources Technology Conference (URTEC)
... such as drilling, completion, geology and reservoir engineering. The workflow allows prediction of recovery for undeveloped wells using the sophisticated...
2016
The Impact of Slope Topography on Sediment Partitioning and Depositional Architecture in a Deepwater Lower Slope Setting; #42114 (2017)
Richard J. Wild, Rachel Healy, David Hodgson, Stephen Flint
Search and Discovery.com
... and architectural features and improve characterization and prediction of sediment delivery to the deep basin. Here, detailed outcrop studies integrated...
2017
Comparison of Machine Learning and Statistical Predictive Models for Production Time Series Forecasting in Tight Oil Reservoirs
Hamid Rahmanifard, Ian Gates, Abdolmohsen Shabib-Asl
Unconventional Resources Technology Conference (URTEC)
...) implemented a data-driven approach (LSTM model) for multi-phase production prediction in Eagle Ford formation based on two scenarios: • • using...
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
N/A
Abstract: Reservoir Property Prediction using Least Square Support Vector Machine; #90254 (2016)
Jinsong Wang, Saleh Al-Dossary
Search and Discovery.com
...Abstract: Reservoir Property Prediction using Least Square Support Vector Machine; #90254 (2016) Jinsong Wang, Saleh Al-Dossary AAPG Datapages/Search...
2016
Abstract: A Comprehensive Facies Prediction Workflow for a Heterogeneous Carbonate Reservoir, Saudi Arabia; #90319 (2018)
Cengiz T. Vur, Waseem A. Bogary, Fahad T. Wahbo, Raed K. Dukhayyil
Search and Discovery.com
...Abstract: A Comprehensive Facies Prediction Workflow for a Heterogeneous Carbonate Reservoir, Saudi Arabia; #90319 (2018) Cengiz T. Vur, Waseem...
2018
Statistical Process Control for Early Detection of Progressive Cavity Pump Failures in Vertical Unconventional Gas Wells
Suren Indrajith Rathnayake, Mahshid Firouzi
Unconventional Resources Technology Conference (URTEC)
..., water flowrates, and wellhead pressure. The results show promise, allowing detection and prediction of more than 90% of the PCP failure events...
2021
Depositional Sequence Analysis and the Characteristics of some Confined Clastic Aquifers, Upper Cretaceous, Alabama
David T. King, Jr.
GCAGS Transactions
... (both highstand systems tracts and transgressive systems tracts) permits successful prediction of intrasequence primary permeability, i.e., confined...
1993
Petrophysical Evaluation of Geomechanical Data in a Horizontal Well to Predict Problem Stages Using Process Zone Stress
Taylor Levon, Carrie Glaser
Unconventional Resources Technology Conference (URTEC)
... petrophysical interpretation of bulk density, porosity and shale volume in order to estimate PZS. This workflow results in a stage-by-stage prediction...
2019
S-wave velocity prediction using a deep learning scheme and attention mechanism
Gang Feng, Wen-Qin Liu, Zhe Yang, Wei Yang, Jian-Hua Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
...S-wave velocity prediction using a deep learning scheme and attention mechanism Gang Feng, Wen-Qin Liu, Zhe Yang, Wei Yang, Jian-Hua Wang S-wave...
2024
Maximizing imaging resolution and amplitude fidelity of low-dip stratigraphic traps through continued optimization of seismic acquisition and processing: A case study from the Guyana South East Stabroek Block
Yaxun Tang, Fuxian Song, Lorie Bear, Mark Widmer, Luke Wilson, Vikas Gudipati, Rishi Bansal, Steve Knapp, Chunshou Xia, Wei Zhao, Yu Huang
International Meeting for Applied Geoscience and Energy (IMAGE)
... on improving structural interpretations, but more importantly, on increasing confidence in quantitative reservoir analysis and fluid prediction (Song...
2023
Top Down Petroleum System Analysis: Exploiting Geospatial Patterns of Petroleum Phase and Properties, #42421 (2019).
Zhiyong He, Andrew Murray,
Search and Discovery.com
... of pre-drill prediction. The availability of “big-data”, especially the copious production data from unconventionals, and data analytics tools have enabled...
2019