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The AAPG/Datapages Combined Publications Database
Showing 2,441 Results. Searched 200,626 documents.
Predicting Reservoir Properties from 3-D Seismic Attributes with Little Well Control - Jurassic Smackover Formation, Bruce S. Hart, Search and Discovery Article #40046 (2002)
Search and Discovery.com
2002
Onshore Seismic Attribute Analysis for Reservoir Characterization With a Focus on the Acoustic Impedance Inversion and Multi-Attribute Neural-Net Technologies
Elok Galih Karuniawati, Bagus Jaya, William L. Soroka
Indonesian Petroleum Association
...Onshore Seismic Attribute Analysis for Reservoir Characterization With a Focus on the Acoustic Impedance Inversion and Multi-Attribute Neural-Net...
2011
Fault surface extraction based on computational topology
Cheng Zhou, Cun Yang, Ruoshui Zhou, Xingmiao Yao, Guangmin Hu
International Meeting for Applied Geoscience and Energy (IMAGE)
..., G. Hu, and C. Song, 2020, Interpretability-guided convolutional neural networks for seismic fault segmentation: IEEE International Conference...
2022
Artificial Lift Real-Time Monitoring Digitalization Method: An Advanced Approach With Artificial Intelligence to Achieve Efficient Well Surveillance By Utilizing Scada.
Hilman Lazuardi Novida Putra, Fadhila Tanjungsari, Wuldan Sokery Edyawan, Azis Hidayat,, Sugiyanto
Indonesian Petroleum Association
... wells use RPC modems. GSM are cellular networks using telecommunication infrastructure to send data to engineer’s personal devices or email...
2022
Chapter 21: Evidence of Fault–Fracture “Hydrothermal” Reservoirs in the Southern Midcontinent Mississippian Carbonates
Priyank Jaiswal, Jay M. Gregg, Shawna Parks, Robert Holman, Sahar Mohammadi, G. Michael Grammer
AAPG Special Volumes
..., 1994b, Seismic-guided estimation of log properties (Part 2: Using artificial neural networks for nonlinear attribute calibration): The Leading Edge, v...
2019
Abstract: High Resolution Deterministic Inversion in the Arab-D Carbonate Reservoir of the Ghawar Field, Saudi Arabia; #90172 (2014)
Costas G. Macrides, Ayon Dey
Search and Discovery.com
...-based inversion is used as an external attribute in a Probabilistic Neural Network (PNN) scheme with seismic attributes, superior impedance results...
2014
Fracture and Carbonate Reservoir Characterization using Sequential Hybrid Seismic Rock Physics, Statistic and Artificial Neural Network: Case Study of North Tiaka Field; #20139 (2012)
Deddy Hasanusi, Rahmat Wijaya, Indra Shahab, and Bagus Endar B. Nurhandoko
Search and Discovery.com
...Fracture and Carbonate Reservoir Characterization using Sequential Hybrid Seismic Rock Physics, Statistic and Artificial Neural Network: Case Study...
2012
Autoregressive and Machine Learning Driven Production Forecasting - Midland Basin Case Study
I. Gupta, O. Samandarli, A. Burks, V. Jayaram, D. McMaster, D. Niederhut, T. Cross
Unconventional Resources Technology Conference (URTEC)
... a tremendous range of algorithms, including artificial neural networks, long short-term memory, and tree-based methods such as random forest (Cao et al...
2021
A Critical Review on Characterization and Development Techniques for Low-Resistivity Pays across Indonesias Prominent Basins
Dimas Naufal Al Ghifari, Julianta P. Panjaitan, Muhammad Najmi Hafiy, Yudha Arisandhy S., Habib Luthfi Ash-Shiddiqie
Indonesian Petroleum Association
... values from well data and seismic data. One method that can be used is neural networks. Neural networks can learn patterns from existing data and predict...
2024
A Deep Learning Framework for Multi-Horizon Probabilistic Production Forecasting in Unconventional Reservoirs
Rohan Thavarajah, Hamed Darabi, Nick Ruta, Amir Salehi, Amir Kianinejad
Unconventional Resources Technology Conference (URTEC)
.... Learning across multiple time-series enables all three neural networks to interpret covariates that better characterize production profiles and cope...
2022
PTTC Network News - Vol. 7, No.2 - 2001
Susan Jackson, Peter Robers, Ernie Majer
PTTC
... computerassisted practices for optimizing oil field operations based on neural networks, genetic algorithms, and "fuzzy" logic. Total project cost: $1.2...
2001
Machine-Learning-Assisted Segmentation of FIB-SEM Images with Artifacts for Improved of Pore Space Characterization of Tight Reservoir Rocks
Andrey Kazak, Kirill Simonov, Victor Kulikov
Unconventional Resources Technology Conference (URTEC)
... of the problem, as well as acts as a reference for more advanced segmentation methods. Recently, segmentation methods base on artificial neural networks...
2020
Organic-rich Marcellus Shale lithofacies modeling and distribution pattern analysis in the Appalachian Basin
Guochang Wang, Timothy R. Carr
AAPG Bulletin
... p.Chang, H., D. C. Kopaska-Merkel, H. Chen, and S. R. Durrans, 2000, Lithofacies identification using multiple adaptive resonance theory neural networks...
2013
Significant Error Reduction in Machine-Learning Decline Curve Analysis for Unconventional Reservoirs
Boxiao Li, Travis Billiter, Timothy Tokar
Unconventional Resources Technology Conference (URTEC)
...-Well-Production Forecasts. SPE Journal 19(6): 1047-1057. https://doi.org/10.2118/147588-PA. Haykin, S. 1994. Neural Networks: A Comprehensive Foundation. Pre...
2020
Abstract: Quantitative techniques for geological mapping using geophysical data
C. F. Chung
Atlantic Geology
... for the geological mapping, were chosen to test the technique. Neural network algorithm and Logistic discriminant analysis were applied to each one of the two...
1995
ARTIFICIAL NEURAL NETWORK (ANN) ALGORITHMS FOR CLASSIFYING SERPENTINIZATION GRADES IN THIN SECTIONS OF SERPENTINIZED ULTRAMAFIC ROCKS FOR HYDROGEN EXPLORATION
Abiyyu Daffa Revanzha, Natalia Angel Momongan, Reynaldy Rizky Pratama, Galatio Giovani Prabowo, and Brian Muara Sianturi
Indonesian Petroleum Association
...ARTIFICIAL NEURAL NETWORK (ANN) ALGORITHMS FOR CLASSIFYING SERPENTINIZATION GRADES IN THIN SECTIONS OF SERPENTINIZED ULTRAMAFIC ROCKS FOR HYDROGEN...
2025
Abstract: Seismostratigraphic Interpretation of the Paleocene and Eocene of West Tambaredjo Field, Central Coast of Suriname, Northeastern Region of South America, by Gustavo A. Taboada; #90039 (2005)
Search and Discovery.com
2005
Abstract: Predicting Carbonate Reservoir Rock Types and Permeability with High Success Ratio Using Data Mining Approach, a Case from the UAE, by M. Amin, A. Al Khoori, M. Adib , M. Benlacheheb, and P. Bhatt, #90188 (2014)
Search and Discovery.com
2014
ABSTRACT: Geomorphology-Based, Automated Seismic Facies Analysis: Applied to 3-D Reservoir Mapping; #90013 (2003)
Hongliu Zeng
Search and Discovery.com
...-tone shapes, (3) to calculate geomorphologic attributes, (4) to train a supervised, neural network classifier, and (5) to apply the classifier...
2003
ABSTRACT: Geologic Model for the Giant Hugoton and Panoma Fields; #90048 (2005)
Martin K. Dubois, Alan P. Byrnes, Geoffrey C. Bohling
Search and Discovery.com
... a neural network to predict lithofacies, 3) predict lithofacies at non-cored wells with trained neural network, and 4) predict lithofacies between wells...
2005
ABSTRACT: Porosity Versus Depth Relationship Derived from Rock Mechanical Arguments; #90061 (2006)
Erling Fjær, Ane Elisabet Lothe, and Øyvind Sylta
Search and Discovery.com
... logs for four different wells, making use of neural network methods. Our results show a good match between the theoretical relation and the log...
2006
ABSTRACT: Fracture Characterization of Malampaya Field, Offshore Northwest Philippines; #90061 (2006)
Wayne Narr, Updesh Singh, and Arman Vahedi
Search and Discovery.com
...-porosity rock, hence some strata defined as “baffles” based on matrix properties may have high vertical permeability due to fractures. Neural net software...
2006
Abstract: GAN-Based Multipoint Geostatistical Inversion Method and Application;
Pengfei Xie, Jiagen Hou
Search and Discovery.com
... make some problem of geological modeling problem addressed. In this paper, Convolutional Generative Adversarial Neural Network (CGAN) is introduced...
Unknown
Waveform Gather Inversion and Attribute
Search and Discovery.com
N/A
Identification of Potential Lacustrine Stratigraphic Intervals in the Woodford Shale, Oklahoma, Using Multi-Attribute 3-D Seismic Displays and a Supervised Neural Network
Emilio J. Torres, Roger M. Slatt, Kurt J. Marfurt, Lennon E. Infante, Luis A. Castillo
Unconventional Resources Technology Conference (URTEC)
... and a Supervised Neural Network Emilio J. Torres, Roger M. Slatt, Kurt J. Marfurt, Lennon E. Infante, Luis A. Castillo URTeC: 2692737 Identification...
2017