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The AAPG/Datapages Combined Publications Database
Showing 57,483 Results. Searched 200,357 documents.
A Multidisciplinary Approach for Rock Typing Characterization in a Highly Heterogeneous Carbonate Reservoir in Abu Dhabi UAE; #42517 (2020)
Leonardo J. Rojas, Alexey Tveritnev, Carlos E. Pinillos
Search and Discovery.com
... implementing a robust workflow combining deterministic methods and machine learning supported algorithms for data analysis. Static Rock Types (SRT) were...
2020
Demystifying child well degradation with novel feature engineering: Part 1 machine learning analysis for child well degradation with one parent well in the Delaware Basin
Yuxing Ben, Soodabeh Esmaili, Seth Brazell, Jichao Yin, Mei Han, Tyler Conner, Jake Li, Tim Hoang, Tasos Boulis, Folarin Adekoya, Erik Kinzler
Unconventional Resources Technology Conference (URTEC)
..., were studied using a machine learning approach. Both empirical data and simulation data were used as input for the model. By leveraging feature...
2025
Porosity and permeability calculations in a biolithite using X-ray tomography images
Adetomiwa Aderemi, Elli-Maria Charalampidou, Zeyun Jiang, Erika Tudisco
International Meeting for Applied Geoscience and Energy (IMAGE)
... slices within the same zone / layer, preferentially using binarized images generated from machine learning algorithms. Third International Meeting...
2023
NATS on WATS seismic imaging, rock property modeling and interpretation using machine-learning techniques to inform reservoir quality and deliverability in the Gulf of Mexico
Peter Lanzarone, Shenghui Li, Kang Fu, Kenny Gullette, Jeff Thompson, Gabriel Ritter
International Meeting for Applied Geoscience and Energy (IMAGE)
...NATS on WATS seismic imaging, rock property modeling and interpretation using machine-learning techniques to inform reservoir quality...
2022
Simulating seismic data using generative adversarial networks
Bradley C. Wallet, Eyad Aljishi, Hussain Alfayez
International Meeting for Applied Geoscience and Energy (IMAGE)
... International Conference on Machine Learning, 70, 214–223. Chellapilla, K., S. Puri, and P. Simard, 2006, High performance convolutional neural...
2022
Texture-Based Similarity Graph to Aid Seismic Interpretation, #70365 (2018).
Rodrigo S. Ferreira, Emilio Vital Brazil, Reinaldo Silva, Renato Cerqueira,
Search and Discovery.com
...: Interpretation, v. 3/4, p. SAE59-SAE83. West, B.P., S.R. May, J.E. Eastwood, and C. Rossen, 2002, Interactive seismic facies classification using...
2018
Evaporite Facies Characterization Based on an Unsupervised Artificial Neural Network in Northern Saudi Arabia
Search and Discovery.com
N/A
Production Optimization Using Machine Learning in Bakken Shale
Guofan Luo, Yao Tian, Mariia Bychina, Christine Ehlig-Economides
Unconventional Resources Technology Conference (URTEC)
...Production Optimization Using Machine Learning in Bakken Shale Guofan Luo, Yao Tian, Mariia Bychina, Christine Ehlig-Economides URTeC: 2902505...
2018
Extended Abstract: Sub-seismic Resolution in the Eagle Ford Enabled by Multi-Attribute Analysis Using Instantaneous, Geometric, and Spectral Decomposition Self Organizing Maps
Patricia A. Santogrossi
Houston Geological Society Bulletin
... be included in a Self-Organizing Map (SOM) wherein the learning machine classifies the data by neurons which may reveal natural clusters, form discernible...
2016
Extended Abstract: Sub-seismic Resolution in the Eagle Ford Enabled by Multi-Attribute Analysis Using Instantaneous, Geometric, and Spectral Decomposition Self Organizing Maps
Patricia A. Santogrossi
Houston Geological Society Bulletin
... be included in a Self-Organizing Map (SOM) wherein the learning machine classifies the data by neurons which may reveal natural clusters, form discernible...
2016
Prestack and poststack seismic amplitude interpretation to support unveiling oil potential of a highly stratigraphic reservoir
S. Mata García, A. Carrillat, W. Torres, P. Cisneros, V. Lucas, P. Bermeo, P. Gonzalez, J. Rodas, C. Miller, P. Zamora, K. Luzuriaga, J. Garrido
International Meeting for Applied Geoscience and Energy (IMAGE)
... seismic amplitude interpretation Seismic Characterization and Machine Learning Algorithms In this workflow, both post-stack and pre-stack attributes...
2023
The Flow Zone Indicator (FZI) and Pore Geometry Structure (PGS) Rock Typing Comparison to Maximize Permeability Estimation on Carbonate Reservoir, Case Study: Kais Formation, Bintuni Basin
Farhan Rizqi Ramadhan, Reka Dwi Adityawan, Warto Utomo, Muhammad Thariq Almuqtadir
Indonesian Petroleum Association
... the permeability value at a data point in a hydraulic unit using the FZI and FZIMean values for rock type classification based on the FZI Rounded value...
2022
Geology-geophysics-data mining solution enhances the identification of deep fault-karst carbonate reservoirs
Fei Tian, Jiangyun Zhang, Wenxiu Zhang, Wenhao Zheng, Wang Zhang, Zhongxing Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
..., Electrofacies classification of deeply buried carbonate strata using machine learning methods: A case study on ordovician paleokarst reservoirs in Tarim...
2022
Statistical Analysis of Core and Wireline Log Data from the Northern Niagaran Pinnacle Reef Trend to Inform Static Earth Modeling for CO2 Storage Fields
Search and Discovery.com
N/A
Increasing signal-to-noise ratio of borehole image logs using convolutional neural networks
Mustafa A. Al Ibrahim, Mokhles M. Mezghani
International Meeting for Applied Geoscience and Energy (IMAGE)
... used to automatically detect fractures and breakouts (Dias et al., 2020) and for facies classification (Valentín et al., 2019). In addition, U-Net...
2022
Empowering Completion Engineers to Calibrate Petrophysical Facies Models to Hydraulic Fracturing Treatment Responses
Carrie Glaser, Joel Mazza, John Frame
Unconventional Resources Technology Conference (URTEC)
... and improving productivity can be built using petrophysical approaches and machine learning. Next, the models should be calibrated to specific completions metrics...
2019
Dual constrained reservoir modeling with geological factors and seismic attributes for exploration stage
Hongmei Luo, Yiran Xing, Changjiang Wang, Zhijing Zhang
International Meeting for Applied Geoscience and Energy (IMAGE)
.../10.1016/j.cageo.2019.104357. Alaudah, Y., P. Michałowicz, M. Alfarraj, and G. AlRegib, 2019, A machine-learning benchmark for facies classification...
2023
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
... of this paper. REFERENCES Al Khalifah H, Glover P, Lorinczi P (2020) Permeability prediction and diagenesis in tight carbonates using machine learning...
2024
Analytics, Machine Learning, and AI for Independent Petroleum Geologists and Independt Oil and Gas Companies: Successful Case Study, Rodessa Oil Pool, Martinville Field, Simpson County, Mississippi
Bill Fairhurst
GCAGS Journal
... and discovery using machine learning to define and distinguish separate reservoir productivity when completed in non-segmented multiple reservoirs...
2020
A Multidisciplinary Approach for Rock Typing Characterization In A Highly Heterogeneous Carbonate Reservoir in Abu Dhabi UAE
Search and Discovery.com
N/A
Systematic Wireline Log Predictions of Sequence Stratigraphic Units: A Case-Study from the Upper Pennsylvanian of Kansas, by W. L. Watney, G. C. Bohling, and J. H. Doveton; #90986 (1994).
Search and Discovery.com
1994
Integrate Data Analytics with Engineering Workflows to Deliver Business Value: Application of Explainable AI to Estimate Lateral Length Scaling Factors for Field Development and Planning in the Delaware Basin
Yuxing Ben, Tasos Boulis, Pablo Cabal, Jaeyoung Park, Soodabeh Esmaili
Unconventional Resources Technology Conference (URTEC)
... and trust the outputs from machine learning (ML) algorithms, is used in this work to analyze the contribution of lateral length to production. The results...
2024
High-resolution core study relating chemofacies to reservoir quality: Examples from the Permian Wolfcamp XY Formation, Delaware Basin, Texas
Shaskia Herida Putri, Zane Jobe, Lesli J. Wood, Jesse Melick, Marsha French, Katharina Pfaff
Unconventional Resources Technology Conference (URTEC)
... software using color classification from core image to support the sediment facies and XRF data analysis. This study employed python-based k-means...
2023
Benefits from Pattern Recognition and Visualization; #41973 (2016)
Tao Zhao, Kurt J. Marfurt
Search and Discovery.com
... attributes for subsequent machine-driven classification. Unsupervised Seismic Facies Classification and Visualization To avoid mixing geology from other...
2016
Two Data Reduction Schemes: A Shallow Oil Field Example; #42347 (2019)
Christopher P. Ross, David M. Cole
Search and Discovery.com
... characterization studies by using neural network mapping rather than neural network classification methods. Supervised neural networks can also be performed...
2019