Welcome to the new Datapages Archives
Datapages has redesigned the Archives with new features. You can search from the home page or browse content from over 40 publishers and societies. Non-subscribers may now view abstracts on all items before purchasing full text. Please continue to send us your feedback at emailaddress.
AAPG Members: Your membership includes full access to the online archive of the AAPG Bulletin. Please login at Members Only. Access to full text from other collections requires a subscription or pay-per-view document purchase.
Welcome to the new Datapages Archives
Search Results > New Search > Revise Search
The AAPG/Datapages Combined Publications Database
Showing 621 Results. Searched 200,293 documents.
Seismic Meta-Attributes and the Illumination of the Internal Reservoir Architecture of a Deepwater Synthetic Channel Model, #41267 (2014)
Staffan Van Dyke, Renjun Wen
Search and Discovery.com
...Seismic Meta-Attributes and the Illumination of the Internal Reservoir Architecture of a Deepwater Synthetic Channel Model, #41267 (2014) Staffan...
2014
Filter-Bank Strategies for Efficient Computation of Radon Transforms for SNR Enhancement
Mauricio D. Sacchi
Search and Discovery.com
...: by improving focusing with multi-path Radon operators (Trad et al., 2001) or via local Radon operators that attempt to model the waveforms in a small...
Unknown
Filter-Bank Strategies for Efficient Computation of Radon Transforms for SNR Enhancement
Mauricio D. Sacchi
Search and Discovery.com
...: by improving focusing with multi-path Radon operators (Trad et al., 2001) or via local Radon operators that attempt to model the waveforms in a small...
Unknown
Explainable machine learning for hydrocarbon prospect risking
Ahmad Mustafa, Ghassan AlRegib
International Meeting for Applied Geoscience and Energy (IMAGE)
... limited thus far owing to a lack of transparency in the way complicated, black box models generate decisions. We demonstrate how LIME—a model-agnostic...
2022
Methods of estimating wavelet stationarity, stabilizing non-stationarity, and evaluating its impact on inversion: A synthetic example using SEAM II Barrett unconventional model
Jesse Buckner, Michael Fry, Joe Zuech, Peter Harris, Bill Shea
International Meeting for Applied Geoscience and Energy (IMAGE)
... is simulated across a continuous 3D convolutional synthetic seismic volume, derived from the earth model of the SEAM II Barrett dataset. Multiple...
2023
Seismic Data Preconditioning for Improved Reservoir Characterization (Inversion and Fracture Analysis); #41347 (2014)
Darren Schmidt, Alicia Veronesi, Franck Delbecq, and Jeff Durand
Search and Discovery.com
...) or convolutional Zoeppritz-type synthetics (in which only primaries are modeled). Comparing the real seismic to the well synthetic response is the best...
2014
Using Second-Order Adjoint State Methods in GPUS to Quantify Resolution on Full Waveform Inversions, #42034 (2017).
Sergio Abreo, Ana Ramirez, Oscar Mauricio Reyes Torres
Search and Discovery.com
... Inversion (FWI) allows quantifying resolution of the velocity model obtained. Although there are different ways to compute approximations of the Hessian...
2017
A recipe for practical iterative LSRTM with synthetic and real data examples from Brazil
Valeriy Brytik, Gopal Palacharla, Rishi Bansal, Diwi Snyder, Xu Li, Young Ho Cha, Partha Routh, Inma Dura-Gomez, Dmitriy Pavlov, Carey Marcinkovich
International Meeting for Applied Geoscience and Energy (IMAGE)
... using shots with a 15 degree angle mute. The LSRTM result is consistent with the equivalent convolutional model. Our improved LSRTM workflow was also...
2022
Abstract: Recognizing facies in the Red River Formation of North Dakota using a Convolutional Neural Network; #90301 (2017)
Stephan H. Nordeng, Ian E. Nordeng, Jeremiah Neubert, Emily G. Sundell
Search and Discovery.com
...Abstract: Recognizing facies in the Red River Formation of North Dakota using a Convolutional Neural Network; #90301 (2017) Stephan H. Nordeng, Ian E...
2017
Abstract: Object Detection in SEM Images Using Convolutional Neural Networks: Application on Pyrite Framboid Size-Distribution in Fine-Grained Sediments;
Artur Davletshin, Lucy Tingwei Ko, Kitty Milliken, Priyanka Periwal, Wen Song
Search and Discovery.com
...Abstract: Object Detection in SEM Images Using Convolutional Neural Networks: Application on Pyrite Framboid Size-Distribution in Fine-Grained...
Unknown
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)
... on a convolutional neural network (CNN) in the DeepUnet configuration. The implementation utilized the Pytorch framework in a Linux environment...
2020
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)
... Oilfield in the Middle East. Society of Petroleum Engineers. Mohd Razak S, Jafarpour B. (2020a) Convolutional neural networks (CNN) for feature-based model...
2022
Imaging and fold comparison of mirror reverse time migration vs. interferometric imaging for VSP data
Liwei Cheng, James Simmons, Ali Tura
International Meeting for Applied Geoscience and Energy (IMAGE)
.... Mirror migration and interferometric imaging utilize free-surface multiples to extend the subsurface illumination. We design a 2-D synthetic model...
2022
Synthetic-data-driven deep learning method for elastic parameter inversion
Shuai Sun, Luanxiao Zhao, Huaizhen Chen, Zhiliang He, Jianhua Geng
International Meeting for Applied Geoscience and Energy (IMAGE)
... coefficient sequences; Finally, the Zoeppritz equation and the convolutional model is adopted to synthesize the AVO gather sets. The wavelets used...
2023
Automatic well-log baseline correction via deep learning for rapid screening of potential CO2 storage sites
Misael M. Morales, Carlos Torres-Verdín, Michael Pyrcz, Murray Christie, Vladimir Rabinovich
International Meeting for Applied Geoscience and Energy (IMAGE)
... convolutional U-Net model to estimate the baselinecorrected SP log from the raw SP log and a set of collocated predictor features based on feature engineering...
2024
Deep learning to predict subsurface properties from injected CO2 plume bodies using time-lapse seismic shot gathers
Son Phan, Wenyi Hu, Aria Abubakar
International Meeting for Applied Geoscience and Energy (IMAGE)
... without conventional velocity model building and imaging. A deep learning architecture with a new multi-branch design with different filtering sizes...
2022
Revolutionizing seismic data compression: Unlocking the power of stable diffusion neural networks
Ayrat Abdullin, Umair Bin Waheed, Naveed Iqbal
International Meeting for Applied Geoscience and Energy (IMAGE)
... principal component analysis (DPCA). By leveraging a mixture model to represent the statistics of seismic traces and computing global principal components...
2023
Multi-information intelligent decision process for first-break picking
Fei Luo, Lanlan Yan
International Meeting for Applied Geoscience and Energy (IMAGE)
... analysis. Recently, several authors have employed convolutional neural networks as classifiers to determine the presence of a first arrival signal...
2024
Microsoft Word - image2023_final (10).docx
J0381057
International Meeting for Applied Geoscience and Energy (IMAGE)
...., 2020). Neural networks, as the backbone of deep learning, are usually composed of convolutional layers that are designed to be trained on large datasets...
Unknown
Noise analysis and ML denoising of DAS VSP data acquired from ESP lifted wells
Ge Zhan, Yao Zhao, Cheng Cheng, Josef Heim, Weihong Fei, Mike Craven, Scott Baker, Gilles Hennenfent
International Meeting for Applied Geoscience and Energy (IMAGE)
... developed a machine learning (ML) workflow that uses a deep convolutional U-Net architecture to model the ESP noise first and then subtract it from...
2022
Physics-Assisted Transfer Learning for Production Prediction in Unconventional Reservoirs
J. Cornelio, S. Mohd Razak, A. Jahandideh, Y. Cho, H-H. Liu, R. Vaidya, B. Jafarpour
Unconventional Resources Technology Conference (URTEC)
.... Society of Petroleum Engineers. Mohd Razak S, Jafarpour B. (2020a) Convolutional neural networks (CNN) for feature-based model calibration under uncertain...
2021
Advanced digital tools for passive seismic monitoring of a heavy oil field at Cold Lake, Alberta, Canada
Adarsh Kumar Gupta, Stefano Scaini, Ravi Singh, Simona Costin, Colin Brisco, Raj Janakkumar Bhutwala, Shelly Dutta, Monomita Chattopadhyay, Divyanshu Yadav, Taylor Fink
International Meeting for Applied Geoscience and Energy (IMAGE)
... Analysis using Deep learning (SA-DEEP) is a convolutional neural network (CNN) classifier that uses Fourth International Meeting for Applied Geoscience...
2024
Integrating U-net into full-waveform inversion for salt body building: A challenging case
Sixiu Liu, Abdullah Alali, Shijun Cheng, Tariq Alkhalifah
International Meeting for Applied Geoscience and Energy (IMAGE)
... Alkhalifah, KAUST SUMMARY Full-waveform inversion (FWI) applied to regions with large salt bodies often fails without a good initial model, long offsets...
2024
Sparse time-frequency representation based on Unet with domain adaptation
Yuxin Zhang, Naihao Liu, Yang Yang, Zhiguo Wang, Jinghuai Gao, Xiudi Jiang
International Meeting for Applied Geoscience and Energy (IMAGE)
... propose the sparse time-frequency representation (STFR) based on Unet with domain adaptation (STFR-UDA) model for solving these issues. First, we...
2022
Unsupervised frequency space domain deep learning framework for reconstructing 5D seismic data
Gui Chen, Yang Liu, Haoran Zhang, Mi Zhang, Yuhang Sun
International Meeting for Applied Geoscience and Energy (IMAGE)
... an exponential threshold model for POCS-reconstruction to improve efficiency compared to the linear threshold model (Abma and Kabir, 2006). Gao et al. (2013...
2024