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The AAPG/Datapages Combined Publications Database
Showing 621 Results. Searched 200,293 documents.
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)
... workflow for quickly retrieving body wave events from massive ambient noise datasets. We feed relevant data to a convolutional autoencoder classifier...
2024
Deep carbonate reservoir characterization with unsupervised machine-learning approaches
Xuanying Zhu, Luanxiao Zhao, Xiangyuan Zhao, Yuchun You, Minghui Xu, Tengfei Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
... (PCA), T-distributed Stochastic Neighbor Embedding (t-SNE), Uniform Manifold Approximation and Projection (UMAP), and Convolutional Autoencoder (CAE...
2023
Automating the thresholding of multi-stage iterative source separation with priors using machine learning
Nam Pham, Rajiv Kumar, Sunil Manikani, Yousif Izzeldin Kamil Amin, Phillip Bilsby, Massimiliano Vassallo, Tao Zhao
International Meeting for Applied Geoscience and Energy (IMAGE)
... algorithm. A machine learning model is trained with a fraction of data and is then applied to the entire survey. Experimental results on a field dataset...
2024
Abstract: Push the Limits of Seismic Resolution Using Surface Consistent Gabor Deconvolution; #90171 (2013)
Xinxiang Li and Darren P. Schmidt
Search and Discovery.com
... and the time-variant earth wavelet in a nonstationary convolutional trace model, which can be approximately factorized in the Gabor domain...
2013
Estimate near-surface velocity with reversals using deep learning and full-waveform inversion
Yong Ma, Xu Ji, Weiguang He, Tong Fei
International Meeting for Applied Geoscience and Energy (IMAGE)
... inversion, to estimate the near-surface velocity model with reversals. INTRODUCTION An accurate near-surface velocity model is critical for land seismic...
2022
Joint Identification of Lithology and Lithofacies in Core Images Based on Deep Learning
Han Wang, Feifei Gou, Hanqing Wang, Shengjuan Cai
Unconventional Resources Technology Conference (URTEC)
... the lithology identification model. Two lithofacies recognition models are trained for different lithology types. For a core image, the lithology is first...
2025
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
.... Model data created from an Ohio Knox synthetic Seismogram will be used to illustrate what this means to the person...
1999
Boulder prediction for offshore windfarm site evaluation using an interactive 2D CNN and a unique weighting scheme on unmigrated seismic
Samuel Chambers, Jesse Lomask
International Meeting for Applied Geoscience and Energy (IMAGE)
.... This gives the model a basic understanding of what to look for, and how to create the segmented output. The basic convolutional synthetic data was created...
2023
Machine learning applications to seismic structural interpretation: Philosophy, progress, pitfalls, and potential
Kellen L. Gunderson, Zhao Zhang, Barton Payne, Shuxing Cheng, Ziyu Jiang, and Atlas Wang
AAPG Bulletin
... geometric invariance-enforced deep learning based on the Mask region-based convolutional neural network (R-CNN) model. Mask R-CNN is a deep learning model...
2022
4D Finite Difference Forward Modeling within a Redefined Closed-Loop Seismic Reservoir Monitoring Workflow, #41922 (2016).
David Hill, Dominic Lowden, Sonika, Chris Koeninger
Search and Discovery.com
...-field coupled dynamic integrated earth model to surface. From which 3D grids of petro-elastic parameters for a range of reservoir simulations...
2016
Transfer Learning Applied to Seismic Images Classification; #42285 (2018)
Daniel Chevitarese, Daniela Szwarcman, Reinaldo Mozart D. Silva, Emilio Vital Brazil
Search and Discovery.com
... point to adjust model's parameters. A poor initialization may lead to longer training sessions or to the inability of finding a solution. To address...
2018
Abstract: Short-time Wavelet Estimation in the Homomorphic Domain; #90174 (2014)
Roberto H. Herrera and Mirko van der Baan
Search and Discovery.com
... phases in both the wavelet and the reflectivity. Theory The seismic signal is described by the convolutional model (Ulrych, 1971): s(t) = w(t) ⋆ r...
2014
Deep learning-based raster digitization engine
Atul Laxman Katole, Purnaprajna Mangsuli, Omkar Gune, Mohd Saood Shakeel, Abhiman Neelakanteswara, Aria Abubakar
International Meeting for Applied Geoscience and Energy (IMAGE)
... model encountered by the scanned raster images during the digitization process. A semantic segmentation model based on cGAN (Isola et al., 2017...
2022
Deep compressed learning for 3D seismic inversion
Maayan Gelboim, Amir Adler, Yen Sun, Mauricio Araya-Polo
International Meeting for Applied Geoscience and Energy (IMAGE)
... (sorted seismic records) to a 3D velocity model, implemented using a deep convolutional neural network (DCNN). The proposed method provides a solution...
2023
Deep learning seismic full-waveform inversion and transient EM joint inversion for near surface velocity modeling
Daniele Colombo, Ernesto Sandoval-Curiel, Ersan Turkoglu, Weichang Li
International Meeting for Applied Geoscience and Energy (IMAGE)
... of seismic FW and transient EM (TEM) data. Near surface model and data generation A carpet acquisition geometry is used for sources and receivers...
2022
Abstract: Post-stack Inversion of the Hussar Low Frequency Seismic Data; #90187 (2014)
Patricia E. Gavotti, Don C. Lawton, Gary F. Margrave, and J. Helen Isaac
Search and Discovery.com
... on the convolutional model of the seismic trace according to the equation 1: , (1) where S is the seismic trace, W is the wavelet, R is the reflectivity and N...
2014
Deterministic and Statistical Wavelet Processing
Lee Lu
Southeast Asia Petroleum Exploration Society (SEAPEX)
... on the convolutional model for a seismic trace: it is assumed that an observed trace, x, is the convolution of an “effective wavelet”, w, with an “effective reflectivity...
1980
3D pre-trained transformers for seismic fault detection, image denoising and dense horizon interpretation
Enning Wang, Peter Lovely, Lachlan Wright, Sarah Vitel, Anusha Sekar, Maisha Amaru
International Meeting for Applied Geoscience and Energy (IMAGE)
... amplitude dynamic range and less signal leakage than convolutional model results (Wang et al. 2019). Figure 2, Transformer model results from Opunake...
2024
Refining our understanding of the subsurface geology using deep learning techniques
Salma Alsinan, Philippe Nivlet, Hamad Alghenaim
International Meeting for Applied Geoscience and Energy (IMAGE)
... Alghenaim, Unconventional Resources, Saudi Aramco Summary This work addresses the question surrounding the importance of the geological model used...
2022
Integration of deep neural networks into seismic workflows for low-carbon energy
Biondo Biondi, Joseph Jennings, Min Jun Park, Stuart Farris, Bob Clapp
International Meeting for Applied Geoscience and Energy (IMAGE)
... characterization and monitoring. In this presentation we will show examples of convolutional neural networks applied to early waring in CCS projects and cost...
2022
Abstract: Kirchhoff Imaging with Adaptive Greens Functions for Compensation for Dispersion, Attenuation, and Velocity Imprecision; #90187 (2014)
Andrew V. Barrett
Search and Discovery.com
... frequencies appear to propagate at the velocity of the asymptotic high frequency. If we know the attenuation constant ‘Q’, and if the model for attenuation...
2014
Real-time hydraulic fracturing monitoring using deep learning clustering of microseismic data
Chenglong Duan, Lianjie Huang, Michael Gross, Michael Fehler, David Lumley
International Meeting for Applied Geoscience and Energy (IMAGE)
..., and non-LD signals from terabytes of continuously-recorded microseismic data, we design a 7-layer U-Net convolutional network to cluster...
2022
Complete detection of small earthquakes uncovers intricate relation between injection and seismicity
Yangkang Chen, Alexandros Savvaidis, Omar M. Saad, Daniel Siervo, Dino Huang, Yunfeng Chen, Iason Grigoratos, Sergey Fomel, Caroline Breton
International Meeting for Applied Geoscience and Energy (IMAGE)
... earthquake compact convolutional transformer (EQCCT) for training a model to pick the P- and S-wave from 3-C earthquake waveforms in Texas (Hassani et...
2024
Abstracts: Application of Neural Network Analysis and Post-Stack Inversion - Case Studies in Alberta; #90173 (2015)
Somanath Misra and Satinder Chopra
Search and Discovery.com
... the P-impedance from the post-stack data by way of model based inversion as well as neural network analysis. We are showing comparisons of the results...
2015
Time-lapse full-waveform inversion by model order reduction using radial basis function
Haipeng Li, Robert G. Clapp
International Meeting for Applied Geoscience and Energy (IMAGE)
...Time-lapse full-waveform inversion by model order reduction using radial basis function Haipeng Li, Robert G. Clapp Time-lapse full-waveform...
2024