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The AAPG/Datapages Combined Publications Database
Showing 57,483 Results. Searched 200,357 documents.
Geological risk evaluation using the Support Vector Machine with examples from the late Triassic–early Jurassic structural play in western Sverdrup Basin, Canadian Arctic Archipelago
Zhuoheng Chen, Yexin Liu, Kirk Osadetz
CSPG Bulletin
... the unclassified sample belongs to. In this study, we use Support Vector Machine (SVM), a machine-learning technique, to perform the classification...
2012
Abstract: AI-Driven Seismic Reservoir Characterization; #91210 (2025)
Hesham Moubarak
Search and Discovery.com
.... 13) demonstrates substantial advances in predicting porosity and facies across log- and seismic-derived attributes, with machine learning models...
2025
Realistic synthetic data generation using neural style transfer: Application to automatic fault interpretation
Min Jun Park, Joseph Jennings, Bob Clapp, Biondo Biondi
International Meeting for Applied Geoscience and Energy (IMAGE)
... learning applications, such as salt dome interpretation, channel detection, and facies classification. Second International Meeting for Applied...
2022
Reliable uncertainty estimation for seismic interpretation with prediction switches
Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib
International Meeting for Applied Geoscience and Energy (IMAGE)
.... AlRegib, 2019a, A machine-learning benchmark for facies classification: Interpretation, 7, no. 3, SE175–SE187, doi: https://doi.org...
2022
Efficient Field Development Decisions Driven by Artificial Intelligence: A Permian Basin Example
Hui Zhou, Johan A. Daal, Tom Williford, Qin Lu, Michael Burkard, Lee McAuliffe, M. D. Rincones, Rafael Paz Lopez
Unconventional Resources Technology Conference (URTEC)
... generation. Rincones et al. (2023) applied unsupervised machine learning techniques to integrate facies, petrophysics, seismic attributes, and fluid...
2024
Abstract: Weakly Supervised Structural Interpretation Using Projection Matrices for Latent Space Factorization;
Oluwaseun Joseph Aribido, Ghassan AlRegib
Search and Discovery.com
... learning have shown great potential in the field of seismic interpretation. Virtually all facets of deep learning have been combed to advance facies...
Unknown
Abstract: 3D Reservoir Modeling: Advances, Developments and Ongoing Challenges; #91213 (2025)
Brahim Hamouche
Search and Discovery.com
... interpolation methods. The main challenge is the hybrid approach, which is data-driven, using both 'Machine Learning' (ML) and 'Geostatistics...
2025
A Comparative Study of Machine Learning Model Results and Key Geologic Parameters for Unconventional Resource Plays
Jeff Bowman, Hamed Tabatabaie, Julie Anna Bowman
Unconventional Resources Technology Conference (URTEC)
... reservoir quality maps. The focus of this study was on validating the results obtained from machine learning of production variables by using geological...
2021
Mineralogical composition and total organic carbon quantification using x-ray fluorescence data from the Upper Cretaceous Eagle Ford Group in southern Texas
Ahmed Alnahwi, and Robert G. Loucks
AAPG Bulletin
... the models using machine learning algorithms. Geological applications of machine learning or artificial intelligence include classification...
2019
Abstract: Implementation of Machine Learning for Petrophysical Reservoir Characterization in a complex Carbonate Reservoir, a Case study on Miocene Carbonate, offshore Gulf of Suez, Egypt; #91204 (2023)
Mona Farouk, Wael Shehata, Eslam Atwa, Mostafa Hagag
Search and Discovery.com
... reservoir engineering data. Different machine learning techniques were used to predict the flow units in uncored wells using the open hole logs including...
2023
Interactive channel interpretation using deep learning
Hao Zhang, Peimin Zhu, Zhiying Liao, Zewei Li, Dianyong Ruan
International Meeting for Applied Geoscience and Energy (IMAGE)
...Interactive channel interpretation using deep learning Hao Zhang, Peimin Zhu, Zhiying Liao, Zewei Li, Dianyong Ruan Interactive channel...
2022
Deep Convolutional Neural Networks for Seismic Salt-Body Delineation; #70360 (2018)
Haibin Di, Zhen Wang, Ghassan AlRegib
Search and Discovery.com
... of the existing machine learning-based classification focuses on facies analysis, and a comparison of several unsupervised clustering/classification...
2018
A step towards the automatization of predictive geological mapping
Rafael Pires de Lima, Marcos Ferreira, Iago Costa
International Meeting for Applied Geoscience and Energy (IMAGE)
...., and H. Bedle, 2022, Deepwater seismic facies and architectural element interpretation aided with unsupervised machine learning techniques: Taranaki...
2022
Transfer Learning with Multiple Aggregated Source Models in Unconventional Reservoirs
J. Cornelio, S. Mohd Razak, Y. Cho, H-H. Liu, R. Vaidya, B. Jafarpour
Unconventional Resources Technology Conference (URTEC)
... field production rates for waterflooding using a machine learning-based proxy model. Journal of Petroleum Science and Engineering. Zhuang, F., Qi, Z...
2022
Machine learning inversions incorporating geologic information through variational autoencoder and physics-based neural network
Yaoguo Li, Taqi Alyousuf, Andy McAliley
International Meeting for Applied Geoscience and Energy (IMAGE)
...Machine learning inversions incorporating geologic information through variational autoencoder and physics-based neural network Yaoguo Li, Taqi...
2022
Integrating a Minerals Systems Approach with Machine Learning: A Case Study of Modern Minerals Exploration in the Mt Woods Inlier northern Gawler Craton, South Australia
Mark Rieuwers, Antoine Caté
Petroleum Exploration Society of Australia (PESA)
...Integrating a Minerals Systems Approach with Machine Learning: A Case Study of Modern Minerals Exploration in the Mt Woods Inlier northern Gawler...
2019
Automatic facies classification using convolutional neural network for three-dimensional outcrop data: Application to the outcrop of the mass-transport deposit
Ryusei Sato, Kazuki Kikuchi, and Hajime Naruse
AAPG Bulletin
... to enhance the effciency and objectivity of facies classification. Machine learning is a method for constructing prediction or detection models using...
2025
Seismic facies segmentation via mask-assisted transformer
Jinlong Huo, Naihao Liu, Zhiguo Wang, Yang Yang, Yijie Zhang, Jinghuai Gao
International Meeting for Applied Geoscience and Energy (IMAGE)
... such as machine learning-assisted approaches have lately been introduced, enhancing seismic facies segmentation with accuracy and efficiency (Zhao et...
2024
Using ANN Prediction in Carbonate Reservoir Properties: Implications for Large-Scale Reservoir Correlation
Abdallah Abdelkarim, John Humphrey
Unconventional Resources Technology Conference (URTEC)
.... and Jobe, Z., 2021. Centimeter-scale lithology and facies prediction in cored wells using machine learning. Frontiers in Earth Science, 9, 659611...
2024
An integrated workflow for deep learning-accelerated seismic modelling of the Groningen gas field, the Netherlands
Haibin Di, Vanessa Simoes, Zhun Li, Cen Li, Anisha Kaul, Aria Abubakar
International Meeting for Applied Geoscience and Energy (IMAGE)
... relative geologic time to constrain seismic facies classification using neural networks: First International Meeting for Applied Geoscience & Energy...
2022
Evaluation Method of Low Permeability Reservoirs Based on Logging Petrophysical Facies Identification: A Case Study of the Upper Member of Mengyin Formation in Gaoqing Area, Dongying Depression; #42448 (2019)
Ya Wang, Shaochun Yang, Yan Lu
Search and Discovery.com
... segment as learning samples, and using the LDA algorithm to optimize the logging curve input samples, the average accuracy of logging petrophysical facies...
2019
Revisiting Brown Fields: A lookback on unforeseen opportunities in a late life field
Hifzhul ‘Arif Ahmad Munif, Ismail Marzuki Gazali, Hairul Hafez Abu Bakar, Alfian Termizi, Wan Mohd Nazrullah Mohamed Zin, Nur Syakirah Muhammad Yusoff, Zainal Arifin Suwito, Chin Tee Ang
International Meeting for Applied Geoscience and Energy (IMAGE)
...). By applying this workflow, a field-wide machine learning prediction model was developed using raw well log data as inputs and feature engineering...
2024
Seismic identification of carbonate reservoir sweet spots using unsupervised clustering algorithms: A case study from presalt Mero Field at Santos Basin, offshore Brazil
Marcus Vinicius Rodrigues Maas, Heather Bedle, Marcilio Castro de Matos
International Meeting for Applied Geoscience and Energy (IMAGE)
... with unsupervised machine learning techniques for deepwater seismic facies interpretation: Users vs machines: M.S. thesis, The University of Oklahoma. La...
2022
Ensemble Learning: A Robust Paradigm for Data-Driven Modeling in Unconventional Reservoirs
Jared Schuetter, Srikanta Mishra, Luan Lin, Divya Chandramohan
Unconventional Resources Technology Conference (URTEC)
.... Geological Facies Prediction Using Computed Tomography in a Machine Learning and Deep Learning Environment. Unconventional Resources Technology Con...
2019
Application of Data Analytics to Chemometric Analysis of Conventionally Produced Oil Samples From the Delaware Basin
Timothy Carpp, Julia Reece, Mauro Becker, Siddharth Misra
Unconventional Resources Technology Conference (URTEC)
...). Methods Machine learning URTeC 3857064 7 Machine learning is defined in this study as training an algorithm to perform a general task using...
2023