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The AAPG/Datapages Combined Publications Database
Showing 622 Results. Searched 200,357 documents.
Unsupervised deep learning for seismic data reconstruction
Gui Chen, Yang Liu, Mi Zhang
International Meeting for Applied Geoscience and Energy (IMAGE)
... (RSVD) and projection onto convex sets (POCS) algorithms iteratively to reconstruct each frequency slice of the incomplete data in the f-x domain...
2023
Horizontal Stresses Prediction Using Sonic Transition Time Based on Convolutional Neural Network; #42587 (2023)
Esmael Makarian, Ayub Elyasi, Fatemeh Saberi, Olusegun Stanley Tomomewo
Search and Discovery.com
...Horizontal Stresses Prediction Using Sonic Transition Time Based on Convolutional Neural Network; #42587 (2023) Esmael Makarian, Ayub Elyasi, Fatemeh...
2023
Abstract: GAN-Based Multipoint Geostatistical Inversion Method and Application;
Pengfei Xie, Jiagen Hou
Search and Discovery.com
... technology. Multi-point statistics (MPS) generate model realizations by training image (TI) that are consistent with prior information. This method often...
Unknown
Joint data and physics model driven full-waveform inversion using CMP gathers and well-logging data
Shuliang Wu, Jianhua Geng
International Meeting for Applied Geoscience and Energy (IMAGE)
... can get more accurate and stable inversion result in the situation of lacking low-frequency data and bad initial model. Introduction Velocity model...
2023
Automatic low-order weak faults detection from carbonate reservoir based on deep learning and ant tracking
Han Wang, Xingwei Wu, Hanqing Wang, Jin Meng, Ji Chang, Tianrui Ye, Yujie Zhou, Dongwei Zhang, Yitian Xiao
International Meeting for Applied Geoscience and Energy (IMAGE)
... of the improved convolutional neural network (3D attention-based U-Net) for low-order fault detection. (a) The model structure. (b) The structure...
2024
Development of deep learning method for automatic seismic first break picking
Albert Farkhutdinov, Ruslan Malikov, Izat Shahsenov
International Meeting for Applied Geoscience and Energy (IMAGE)
... learning based techniques, such as support vector machines, convolutional image segmentation, and U-Net networks, have been studied for automatic FBP (Qu et...
2024
High-efficient reflection retrieval from massive ambient noise using a deep-learning workflow
Yinghe Wu, Shulin Pan, Dawei Liu, Yaojie Chen, Qinghui Cui
International Meeting for Applied Geoscience and Energy (IMAGE)
... data training. Besides, frequency-domain data are also feed to the network to increase the diversity of the training volume. These steps encourage CAC...
2024
Abstract: Machine Learning Assisted Fracture Characterization with Borehole Image Logs in Geothermal Wells; #91204 (2023)
Chicheng Xu
Search and Discovery.com
... from multiple sources of data, we build a convolutional neural network model and train it with the labeled results from borehole image log. The model...
2023
Enhancing fiber-optic DAS microseismic event detection in imbalanced data using embedding space optimization
Min Jun Park, Hassan Almomin, Bob Clapp
International Meeting for Applied Geoscience and Energy (IMAGE)
... networks are trained, followed by the extraction of embeddings to define class centers in the embedding space. The embedding model is then fine-tuned...
2024
High-resolution seismic reservoir monitoring with multitask and transfer learning
Ahmed M. Ahmed, Ilya Tsvankin, Yanhua Liu
International Meeting for Applied Geoscience and Energy (IMAGE)
... or hydrocarbon production. This study leverages convolutional neural networks (CNNs), multitask learning (MTL), and transfer learning (TL) to accurately...
2024
Deep learning decomposition for null and active space estimation for thin-bed reflectivity inversion
Kristian Torres, Mauricio D. Sacchi
International Meeting for Applied Geoscience and Energy (IMAGE)
... reconstruction for approximating the low-frequency components of the model. In a second step, we trained two neural networks to recover the missing...
2022
Transfer learning for cement evaluation: An image classification approach using VDL time series
Amirhossein Abdollahian, Hua Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
.... These examples could range from images and text to audio, signals, or even tabular data, depending on the original domain of the model. When this model is applied...
2024
Boosting self-supervised blind-spot networks via transfer learning
Claire Birnie, Tariq Alkhalifah
International Meeting for Applied Geoscience and Energy (IMAGE)
... networks that learn a pixel’s value based on neighbouring pixels, we propose to train a supervised model in a blind-spot manner such that the model learns...
2022
Abstract: Deep Learning Inversion on Seismic Cubes; #91204 (2023)
Aleksandr Koriagin, Alexey Kozhevin, Stepan Goriachev, Roman Khudorozhkov
Search and Discovery.com
... show how one can perform inference on full seismic cubes using convolutional neural networks and specific prediction aggregation techniques...
2023
S/N RATIO AND BANDWIDTH CONSIDERATIONS WHEN UTILIZING SEISMIC DATA IN EXPLORING FOR SUBTLE TRAPS - EXAMPLES FROM THE KNOX PLAY
Edward R. Tegland, Exploration Development, Inc., S. Pikes Peak Dr., Parker, CO Patrick H. Bygott, Exploration Development, Inc., S. Pikes Peak Dr., Parker, CO
Ohio Geological Society
.... What is bandwidth? Bandwidth is the difference between the highest and lowest measurable frequency present in the data...
1999
Detect Oil Spill in Offshore Facility Using Convolutional Neural Network and Transfer Learning
Dharmawan Raharjo, Muhamad Solehudin
Indonesian Petroleum Association
...Detect Oil Spill in Offshore Facility Using Convolutional Neural Network and Transfer Learning Dharmawan Raharjo, Muhamad Solehudin This paper has...
2021
Introducing stochasticity into CNN-based property estimation from angle-stack seismic
Haibin Di, Tao Zhao, Aria Abubakar
International Meeting for Applied Geoscience and Energy (IMAGE)
... and perturbing with Gaussian noises ℕ(0,1) per prior rock property model. convolutional layer for reconstructing the fullstack seismic, and (iii) one...
2024
Estimating CO2 saturation maps from seismic data using deep convolutional neural networks
Zi Xian Leong, Tieyuan Zhu, Alexander Y. Sun
International Meeting for Applied Geoscience and Energy (IMAGE)
... deep convolutional neural networks interpolated velocity and density conform with the seismic structure. We select a 2D slice (Fig. 1) from the 3D model...
2022
Explainable AI: Can neural networks recognize first arrivals after wave separation?
Yanwen Wei, Zhenyu Zhu, Jicai Ding, Yichuan Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
..., Applications of seismic polarization analysis: Geophysics, 59, 119–130. Sabbione, J. I., and M. D. Sacchi, 2016, Restricted model domain time Radon...
2024
A strategy for acoustic impedance direct inversion in depth domain
Ruiqian Cai, Chengyu Sun, Shizhong Li
International Meeting for Applied Geoscience and Energy (IMAGE)
... of the depth-domain seismic data, the traditional convolutional model cannot be used to calculate the synthetic seismogram in depth domain. Therefore...
2022
Improve automatic migrated gather processing with feature engineering and 4D convolutional neural networks
Wen Pan, Harry Rynja, Ramakrishna Dandu, Zaifeng Liu, Shuzhen Ye, Antonio De Lilla, Jay Chen, Jeremy Vila
International Meeting for Applied Geoscience and Energy (IMAGE)
... the information from adjacent inline and crossline gathers in addition to time/depth-offset domain. The new model is trained and tested on six surveys and the test...
2024
High precision microseismic phase picking and monitoring based on advanced deep learning
Jiayu Qiao, Jingye Li, Yaru Xue, Wenhua Xu, Yangkang Chen
International Meeting for Applied Geoscience and Energy (IMAGE)
.... In this paper, a convolutional neural network model based on a self-attention mechanism is proposed. It can not only meet the requirement that the input...
2024
Automated metallic pipeline detection using magnetic data and convolutional neural networks
Brett Bernstein, Yaoguo Li, Richard Hammack
International Meeting for Applied Geoscience and Energy (IMAGE)
...Automated metallic pipeline detection using magnetic data and convolutional neural networks Brett Bernstein, Yaoguo Li, Richard Hammack Automated...
2022
Incorporating Artificial Intelligence into Traditional Exploration Workflows in the Cooper-Eromanga Basin, South Australia
H. M. Garcia, W. G. "Woody" Leel Jr., M. Riehle, P. Szafian
International Meeting for Applied Geoscience and Energy (IMAGE)
... that are diagenetically similar (should have the same frequency decomposition response). The 3D convolutional neural network shows an unprecedented level...
2021
What samples must seismic interpreters label for efficient machine learning?
Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib
International Meeting for Applied Geoscience and Energy (IMAGE)
... resources AlRegib et al. (2018). At the core of successful machine learning algorithms, stands the mathematical model representation of data points...
2023