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The AAPG/Datapages Combined Publications Database
Showing 96,737 Results. Searched 195,387 documents.
Abstract: Towards an Efficient and Reliable HPC Software Platform for 3D Geophysical Inversion; #90255 (2017)
Juan-Esteban Rodriguez, Mauricio Hanzich, Jean Kormann, Natalia Gutiérrez, Jose Cela, Josep De La Puente, Vladimir Puzyrev
Search and Discovery.com
... inversion in a High Performance Computing (HPC) environment is of outmost importance. Furthermore, defining specific software for each process...
2017
New Technologies Through Collaboration
Geo ExPro Staff
GEO ExPro Magazine
... developed two new products which are anchored on the proven high performance of this highly efficient broadband digital sensor technology. For land-based...
2019
Abstract: Rational Virtualisation In E&P Focuses On Data And Applications Hubs
Landmark Graphics Corp.
Petroleum Exploration Society of Australia (PESA)
... of successful virtualisation is a data and applications hub. The hub consists of a physical computing centre, data management infrastructure, high-end...
2003
Abstract: Prognosis of In-Situ Stress Regime to Assess the Frackability of Najmah/Sargelu Reservoirs: A Case Study from South Kuwait; #90319 (2018)
Aimen Amer, Hanan Abu-Hebail, Meshal Al-Wadi, Hawas Al-Shammari, Ali Yateem
Search and Discovery.com
... Middle East Geosciences Conference and Exhibition, Manama, Bahrain, March 5-8, 2018 Prognosis of In-Situ Stress Regime to Assess the Frackability...
2018
Abstract: Artificial Lift Management Dashboard; #90319 (2018)
Menayer Al-Jadi, Pablo Cordero, Abdullah Al-Rabah
Search and Discovery.com
... Article #90319 ©2018 GEO 2018 13th Middle East Geosciences Conference and Exhibition, Manama, Bahrain, March 5-8, 2018 Artificial Lift Management...
2018
Abstract: Remote Quality Control of Seismic Operations: Application-Driven Approach; #90319 (2018)
Mohammed Daubal, Hussein Helal, Mamoun Ghaslan, Stephen K. LaFon, Yassir Radhi
Search and Discovery.com
..., Stephen K. LaFon, Yassir Radhi AAPG Datapages/Search and Discovery Article #90319 ©2018 GEO 2018 13th Middle East Geosciences Conference and Exhibition...
2018
X-Ray Computed Tomography of Structures in Opalinus Clay from Large Scale to Small Scale After Mechanical Testing
Gerhard Zacher, Annette Kaufhold, Matthias Halisch
Petroleum Exploration Society of Australia (PESA)
..., S., Wiegmann, and Zhan, X. (2013). Digital Rock Physics Benchmarks part II: Computing Effective Properties, Computers & Geosciences, 2013, 43, pp...
2016
InvMixer An efficient deep neural network for seismic inversion
Tianyi Zhang, Mauricio Araya-Polo, Anshumali Shrivastava
International Meeting for Applied Geoscience and Energy (IMAGE)
... Learning (DL)driven Geosciences (see Adler et al. (2021)). The architecture outperforms most others, and it has been shown to be generally robust (Huang...
2023
A Novel Method to Develop Chemostratigraphy Using X-Ray Fluorescence Spectral Raw Data
M. Hussain, A. Amao, K. Al-Ramadan, L. Babalola, J. Humphrey
Unconventional Resources Technology Conference (URTEC)
... L.2, Humphrey J.2, 1. Baker Hughes, 2. College of Petroleum Engineering and Geosciences (CPG), King Fahd University of Petroleum and Minerals (KFUPM...
2021
A Novel Approach of Integrated Reservoir Characterization and Advanced High-Resolution Geocellular Modeling: A Case Study of the Mauddud Carbonate Reservoir, Sabriyah Field, North Kuwait presented by Sabry A. Eisa
Search and Discovery.com
N/A
Risk Management in Exploration and Production; #41889 (2016)
Sudhir Pai, Tim Perrin
Search and Discovery.com
... *Adapted from oral presentation given at AAPG GEO 2016, The 12th Middle East Geosciences Conference and Exhibition March 7-10, 2016, Manama, Bahrain...
2016
Inverse Stratigraphic Modeling Using Genetic Algorithms
S. Bornholdt, U. Nordlund, H. Westphal
Special Publications of SEPM
... in high performance strings accumulating in the population whose Modeling the fittest modeling program fitness thus is increased mean STRATIGRAPHIC...
1999
Abstract: Machine Learning Prediction of Slope Channel Facies Using Outcrop Analog Data, Tres Pasos Formation, Magallanes Basin, Chile; #91201 (2022)
Patrick Ronnau, Lisa Stright, Stephen M. Hubbard, and Brian W. Romans
Search and Discovery.com
... of Geosciences, Colorado State University 3 Department of Geoscience, University of Calgary 4 Department of Geosciences, Virginia Tech 2 Abstract Deep-water...
Unknown
Abstract: Successful Utilization of the Shaped Point Loading Edge Cutters Technology to Eliminate Directional Downhole Tools Failures and Enhance the Drilling Performance of Long Laterals in the Middle East; #91204 (2023)
Munir Bashir, Mahmoud Algaiar, Moustafa Farhat, Pablo Rojas and Mohannad Aljishi
Search and Discovery.com
... to achieve BUR - Directional tool reliability is a concern WOB and GPM Limits Limits performance Should match the high ROP application - Low ROP...
2023
Disruption in African Geoscientist Talent Management : Don't Miss the "New World" Revolution
Search and Discovery.com
N/A
Reservoir Management: Technical Perspective
Abdus Satter, James E. Varnon, Muu T. Hoang
Indonesian Petroleum Association
... careful monitoring/surveillance and thorough, ongoing evaluation of its performance. If the actual behavior of the project does not agree...
1992
Embedding Physical Flow Functions into Deep Learning Predictive Models for Improved Production Forecasting
Syamil Mohd Razak, Jodel Cornelio, Young Cho, Hui-Hai Liu, Ravimadhav Vaidya, Behnam Jafarpour
Unconventional Resources Technology Conference (URTEC)
..., where training an under-determined neural network predictive model with limited data can result in overfitting and poor prediction performance. Unlike...
2022
Cana Woodford: Seismic to Simulation Reservoir Characterization
Mouin Almasoodi, Brad Cage, Ram Jayakumar, Phuong Nguyen, Dwain Veach
Unconventional Resources Technology Conference (URTEC)
... years, yet well performance variability is not fully understood. The advent of horizontal drilling in conjunction with the ability to complete...
2016
The emergence and impact of scientific machine learning in geophysical exploration
Umair bin Waheed
International Meeting for Applied Geoscience and Energy (IMAGE)
... referred to as scientific computing with machine learning, is an emerging interdisciplinary field that integrates traditional scientific computing...
2023
Applications of Machine Learning Techniques in Assessing Cap Rock Efficiency Based on Surface Data, #42512 (2020).
Sanaz Salati, Frank J.A. van Ruitenbeek, Freek D. van der Meer,
Search and Discovery.com
...) by recursive binary splits, and the boosting method combines large numbers of simple tree models to improve predictive performance (Friedl and Brodley...
2020
ABSTRACT: A Case Study of Non-Uniform Layering Approach to Optimize Simulation Grid Design, by Al Shemsi, Abdullah H.; Khemissa, Hocine; Fathalla, Magdy; Walia, Samir; #90141 (2012)
Search and Discovery.com
2012
Abstract: Performance of Synthetic Nano-Zeolite as an Additive for Oil-Well Cement; #90319 (2018)
Muzzammil Shakeel, Hicham El Hajj, Mirza Talha Baig, Muhammad Kalimur Rahman, Abdulaziz Al-Majed
Search and Discovery.com
...Abstract: Performance of Synthetic Nano-Zeolite as an Additive for Oil-Well Cement; #90319 (2018) Muzzammil Shakeel, Hicham El Hajj, Mirza Talha Baig...
2018
Abstract: Prediction of Flow From Fractured Reservoirs
D. J. Hartmann
Houston Geological Society Bulletin
... early performance, while the second one influences long-term results. If fractures, which provide high flow capacity but limited volume, represent one...
1996
High-Performance Reservoir Simulations on Modern CPU-GPU Computational Platforms; #70385 (2019)
Kirill Bogachev, Sergey Milyutin, Alexey Telishev, Vladimir Nazarov, Vasilii Shelkov, Dmitry Eydinov, Olivier Malinur, Simon Junior Hinneh
Search and Discovery.com
... reservoir modeling software must be aligned with the modern trends in high-performance computing and support the new architectural hardware features...
2019
Lithofacies identification in cores using deep learning segmentation and the role of geoscientists: Turbidite deposits (Gulf of Mexico and North Sea)
Oriol Falivene, Neal C. Auchter, Rafael Pires de Lima, Luuk Kleipool, John G. Solum, Pedram Zarian, Rachel W. Clark, and Irene Espejo
AAPG Bulletin
... Using Deep Learning and Geosciences Applications Machine learning, and more specifically deep-learning convolutional neural networks (CNNs) have emerged...
2022