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The AAPG/Datapages Combined Publications Database
Showing 624 Results. Searched 200,691 documents.
Accelerating innovation with software abstractions for scalable computational geophysics
Mathias Louboutin, Philipp Witte, Ali Siahkoohi, Gabrio Rizzuti, Ziyi Yin, Rafael Orozco, Felix J. Herrmann
International Meeting for Applied Geoscience and Energy (IMAGE)
...), Julia (Bezanson et al., 2017), and Matlab, to domain-specific languages (DSLs), including RVL (Padula et al., 2009), Firedrake (Rathgeber et al., 2016...
2022
Boosting Visualization of Image Logs in 3D Towards Automated Well-Centric Interpretation
Eya Ghamgui, Chandramani Shrivastava, Martin Carles, Josselin Kherroubi
Unconventional Resources Technology Conference (URTEC)
.... For example, using a lightweight deep learning model, the tool detects and visually highlights fracture features, while providing information...
2024
Using mixture density networks for uncertainty and prediction in seismic reservoir characterization
Cornelius Rosenbaum, Ryan Warnick, Anar Yusifov, Reetam Biswas, Atish Roy
International Meeting for Applied Geoscience and Energy (IMAGE)
...–111. Khan, S., H. Rahmani, S. A. A. Shah, and M. Bennamoun, 2018, A guide to convolutional neural networks for computer vision: Synthesis Lectures...
2022
Application of Machine Learning to Facies Classification of Carbonate Core Images
Sharinia Kanagandran
Southeast Asia Petroleum Exploration Society (SEAPEX)
... learning techniques. The study evaluated two commonly used machine learning algorithms, Random Forest (RF) and Convolutional Neural Networks (CNNs...
2019
Abstract: Open-source Python Stack and Tools for Geoscientific Image Analysis and Interpretation -From research to deployment; #91204 (2023)
Mustafa Al Ibrahim
Search and Discovery.com
... learning as backend to automate the estimation partially or completely. Semantic segmentation modules use convolutional neural networks to extract rock...
2023
Abstract: Different Flavors of the Marchenko-Equation-Based Internal Multiple Elimination Methods: the Trade-off between Fidelity, Computational Cost and Ease of Use; #91204 (2023)
Marcin Dukalski, Chris Reinicke
Search and Discovery.com
... that the target primaries are dressed with a convolutional filter representing the total overburden transmissions. Therefore, convolution...
2023
-- no title --
user1
Search and Discovery.com
... by utilizing Convolutional Neural Networks(CNNs) and Wavelet-based approaches. This ensures a clear interpretation of subsurface characteristics for a better...
Unknown
Fluids characterization using cuttings extracts analyzed by gel permeation chromatography
G. Eric Michael, Julian Moore, Lloyd Jones, Alexandra Cely, Gulnar Yerkinkyzy, Tao Yang
International Meeting for Applied Geoscience and Energy (IMAGE)
... To build models with the ability to use cuttings extracted oil, model prediction is performed on topped dead oils and oil extracted from core. Figure 2...
2024
A data-feature-policy solution for multiscale geological-geophysical intelligent reservoir characterization
Wenhao Zheng, Fei Tian, Qingyun Di, Jiangyun Zhang, Hui Zhou, Wang Zhang, Zhongxing Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
... on Deep Belief Network, the geological prediction model was established. It was optimized by a double-loop filtering mechanism that selected the parameter...
2022
Artificial Intelligence (AI) Based Personnel Protective Equipment (PPE) Monitoring - Case Study in Rokan Drilling Operation
Freddy Frinly Rizki, Ade Anggi N S, Ari Sukma Negara
Indonesian Petroleum Association
... and in different light conditions. The next step was to use deep learning technology such as Yolov4 and train the model using the PPE datasets...
2022
Artificial intelligence techniques to the interpretation of geophysical measurements
Desmond FitzGerald
Petroleum Exploration Society of Australia (PESA)
... SUMMARY Integration of geology and geophysics thinking requires a common earth model, that accommodates, with errors, all the features from...
2019
Accelerated deep learning-based estimation of wavefront dips and curvatures and their application to 3D prestack data enhancement
Kirill Gadylshin, Ilya Silvestrov, Andrey Bakulin
International Meeting for Applied Geoscience and Energy (IMAGE)
... Attributes Deep Neural Network. It is based on automatic local wavefront attributes estimation using a specially trained convolutional deep neural network...
2022
Predicting Hydrocarbon Production Behavior in Heterogeneous Reservoir Utilizing Deep Learning Models
Fatick Nath, Sarker Asish, Happy R. Debi, Mohammed Omar S Chowdhury, Zackary J. Zamora, Sergio Muñoz
Unconventional Resources Technology Conference (URTEC)
... of their cumbersome processing. To overcome this limitation, a supervised deep neural network (DNN) model is established in this paper to forecast hydrocarbon...
2023
DASF: A high-performance and scalable framework for large seismic datasets
Julio C. Faracco, Otávio O. Napoli, João Seródio, Carlos A. Astudillo, Leandro A. Villas, Edson Borin, Alan Souza, Daniel Miranda, João Paulo Navarro
International Meeting for Applied Geoscience and Energy (IMAGE)
..., the attribute to be calculated, the ML model to be trained or the waiting time in the HPC system’s queues. Finally, once the system finishes...
2024
Augmented Data Management for Subsurface CCUS Data Sets
Rhys Blake, Jess B. Kozman, James Lamb, Lorena Pelegrin
Carbon Capture, Utilization and Storage (CCUS)
... workflows for using artificial and convolutional neural networks to find information in legacy documents that can predict physical properties...
2025
Automated fault surfaces extraction from 3D fault imaging volume
Nam Nguyen, Alejandro Jaramillo
International Meeting for Applied Geoscience and Energy (IMAGE)
... be integrated into a geological model for identification of hydrocarbon bearing formations, improving structural trapping definition, and preventing drilling...
2022
Improving Wolfcamp B3 Drilling and Production by Integrating Core, Mud logs, Electrical Logs, Seismic Inversion, Microseismic and Drilling Data
Hongzhuan Ye, Lowell Waite, Robert Meek
Unconventional Resources Technology Conference (URTEC)
... seismic inversion. Methods and Workflow Pre-stack seismic inversion attempts to remove the convolutional effects of the wavelet on the reflectivity...
2015
Augmented Intelligence for Geoscience Data in Mature Basins
Jess B. Kozman and Lorena Pelgrin
GCAGS Transactions
... data, such as that encountered in mature basins with decades of archived well reports. We have deployed a pre-trained convolutional neural network...
2025
Deep Convolutional Neural Networks for Seismic Salt-Body Delineation; #70360 (2018)
Haibin Di, Zhen Wang, Ghassan AlRegib
Search and Discovery.com
...Deep Convolutional Neural Networks for Seismic Salt-Body Delineation; #70360 (2018) Haibin Di, Zhen Wang, Ghassan AlRegib Deep Convolutional Neural...
2018
Evaluation of Empirical Correlations and Time Series Models for the Prediction and Forecast of Unconventional Wells Production in Wolfcamp A Formation
Aimen Laalam, Houdaifa Khalifa, Habib Ouadi, Mouna Keltoum Benabid, Olusegun Stanley Tomomewo, Mouad Al Krmagi
Unconventional Resources Technology Conference (URTEC)
.... Li et al. (2022) developed a hybrid production prediction model combining convolutional neural networks (CNN) and long short-term memory (LSTM...
2024
An AI approach to using magnetic gradient tensor analysis for quick depth and property estimation
David A. Pratt, K. Blair McKenzie, Anthony S. White
Petroleum Exploration Society of Australia (PESA)
... into the expert system whereas, it is very difficult to understand how a trained neural net model relates to the underlying geology. The AI system...
2019
Nonlinear time difference detection of seismic image based on image registration
Rongwei Xu, Huazhong Wang, Bo Feng, Chengliang Wu
International Meeting for Applied Geoscience and Energy (IMAGE)
... inversion starting model from wells with dynamic time warping and convolutional neural networks: Geophysics, 87, no. 2, R223–R230, doi: https://doi.org...
2024
Machine assisted drillhole interpretation of iron ore resource evaluation holes in the Pilbara
Daniel Wedge, Owen Hartley, Andrew McMickan, Eun-Jung Holden, Thomas Green
Petroleum Exploration Society of Australia (PESA)
... each drillhole. A 3D geological model can be created by identifying corresponding stratigraphic boundaries within multiple drillholes. These models...
2019
Geophysics in gold hydrogen exploration
Mengli Zhang, Yaoguo Li
International Meeting for Applied Geoscience and Energy (IMAGE)
... and technological advances that can be reconfigured to support the hy- Figure 2: Illustration of geologic H 2 model including source rocks and reservoirs. The top...
2024
Halokinetic rotating faults, salt intrusions, and seismic pitfalls in the petroleum exploration of divergent margins
Carlos L. Varela, Webster U. Mohriak
AAPG Bulletin
... and development of hydrocarbon reservoirs: A model from the Adelaide geosyncline, South Australia, in P. J. Post, D. L. Olson, K. T. Lyons, S. L. Palmes, P. F...
2013