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The AAPG/Datapages Combined Publications Database
Showing 622 Results. Searched 200,357 documents.
Coloured Seismic Inversion, a Simple, Fast and Cost Effective Way of Inverting Seismic Data: Examples from Clastic and Carbonate Reservoirs, Indonesia
Keith Maynard, Paulus Allo, Phill Houghton
Indonesian Petroleum Association
..., and although an interpretive low frequency model is not used, the technique provides a robust inversion that honours the impedance trend of available well data...
2003
Transformer-based network for an efficient ground roll suppression
Randy Harsuko, Omar Saad, Tariq Alkhalifah
International Meeting for Applied Geoscience and Energy (IMAGE)
...). This is attributed to the new components introduced to the model, namely the learnable positional encoding, the 1D convolutional encoder-decoder...
2024
Seismic resolution enhancement with self-supervised learning
Shijun Cheng, Tariq Alkhalifah, Haoran Zhang
International Meeting for Applied Geoscience and Energy (IMAGE)
... classic approaches, working to recover high-frequency content by minimizing the discrepancy between real seismic data and model predictions (Berkhout...
2024
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
Bridging the gap: Deep learning on seismic field data with synthetic training for building Gulf of Mexico velocity models
Stuart Farris, Robert Clapp
International Meeting for Applied Geoscience and Energy (IMAGE)
...; Tarantola, 1984). However, the success of FWI is closely linked to factors like the accuracy of the starting model, the frequency range of the recorded...
2023
Abstract: Variable-factor S-transform for Time-frequency Decomposition, Deconvolution, and Noise Attenuation; #90172 (2014)
Todor I. Todorov, Gary F. Margrave
Search and Discovery.com
... to the physical phenomena of the seismic wave propagation in the earth over the traditional stationary convolutional model. Margrave and Lamoureux...
2014
ABSTRACT: Quantitative Integration of 4D Seismic for Field Development; #90007 (2002)
Garnham, Gail Riekie, Malu Jensen, Liz Pointing
Search and Discovery.com
... wavelet with a slighlty different frequency content to the Ricker 30 HZ. The results suggest that for the given Nelson reservoir model properties...
Unknown
Abstract: Grain Segmentation and Region Mask Generation in Digital Rock Images Using Convolutional Neural Networks;
Rengarajan Pelapur, Arash Aghaei, Connor Burt, Bidur Bohara
Search and Discovery.com
... neural networks. This model is trained on a database of rock models generated using a 3D process-based modeling technique. Convolutional Neural Network...
Unknown
Seismic inversion with dictionary learning using unsupervised machine learning
Debajeet Barman, Mrinal K. Sen
International Meeting for Applied Geoscience and Energy (IMAGE)
... (ML) has recently gained immense popularity in almost every field. This popularity is attributed to the invention of the Convolutional Neural Network...
2022
Abstract: AI- Assisted Palynological Analysis Using an Expert-Trained Convolutional Neural Network: A Case Study form the Jurassic in the North Sea; #91204 (2023)
Rader Abdul Fattah, Merijn de Bakker, Alexander Houben, Roel Verreussel, Robert Williams
Search and Discovery.com
...Abstract: AI- Assisted Palynological Analysis Using an Expert-Trained Convolutional Neural Network: A Case Study form the Jurassic in the North Sea...
2023
Extending Engine Change Out Respective to Running Hours Using Data Driven Using One Dimension (1-D) Convolutional Neural Network Algorithm
Subhan Malik, Harry Poetra Soedarsono
Indonesian Petroleum Association
...Extending Engine Change Out Respective to Running Hours Using Data Driven Using One Dimension (1-D) Convolutional Neural Network Algorithm Subhan...
2024
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)
... high-frequency borehole microseismic data for real-time monitoring of fracture growth. Using the output of the UNet, we perform Gaussian mixture model...
2022
Marchenko focusing using convolutional neural networks
Mert S. R. Kiraz, Roel Snieder
International Meeting for Applied Geoscience and Energy (IMAGE)
...Marchenko focusing using convolutional neural networks Mert S. R. Kiraz, Roel Snieder Marchenko focusing using convolutional neural networks Mert...
2022
The impact of the synthetic seismic data generation method on automated AI-based horizon interpretation
F. Vizeu, J. Zambrini, A. Canning
International Meeting for Applied Geoscience and Energy (IMAGE)
... by using the convolutional model with full control of the synthetic wavelet, and add noise to it. To convert the 2D data into 3D we use a technique...
2023
Efficient seismic image super-resolution
Adnan Hamida, Motaz Alfarraj, Abdullatif A. Al-Shuhail, Salam A. Zummo
International Meeting for Applied Geoscience and Energy (IMAGE)
... a GAN-based model with four convolutional layers for both the generator and discriminator. Fehler and Keliher (2011) SEAM Phase I synthetic dataset...
2022
Extrapolated surface-wave dispersion inversion
Hongyu Sun, Laurent Demanet
International Meeting for Applied Geoscience and Energy (IMAGE)
... with respect to S-wave velocity of the model. With decreasing frequency, surface waves become sensitive to deeper velocity structures. The lower...
2022
Abstract: Automated Fault Detection from 3-D Seismic Using Artificial Intelligence Practical Application and Examples from the Gulf of Mexico and North Slope Alaska;
Andrew Pomroy, Zachary Wolfe
Search and Discovery.com
... in the realm of seismic attributes given its well established strengths in image pattern analysis and recognition. With this in mind, a Convolutional...
Unknown
High-resolution prestack seismic inversion of reservoir parameters using an arch network
Ting Chen, Yaojun Wang, Yuan Yuan, Gang Yu, Guangmin Hu
International Meeting for Applied Geoscience and Energy (IMAGE)
... to be normalized at the beginning, and then 2 wells are used to construct the initial low-frequency model for the conventional pre-stack inversion. The initial...
2022
High-resolution angle gather tomography with Fourier neural operators
Sean Crawley, Guanghui Huang, Ramzi Djebbi, Jaime Ramos, Nizar Chemingui
International Meeting for Applied Geoscience and Energy (IMAGE)
... data and field data. Additionally, migrated data already occupies the same domain as the target velocity model (plus some kind of angle/extended image...
2023
Seismic sparse time-frequency representation via GAN-based unsupervised learning
Youbo Lei, Yang Yang, Naihao Liu, Shengtao Wei, Jinghuai Gao, Xiudi Jiang
International Meeting for Applied Geoscience and Energy (IMAGE)
... the optimization problem. However, STFR is often based on a mathematical model designed with the domain knowledge. Moreover, it suffers from the expensive...
2022
Abstract: Can Q Explain Observations Made from a VSP?, by Hamish Wilson, Scott W. Peters, and Robert W. Wiley; #90105 (2010)
Search and Discovery.com
2010
Convolutional neural networks as an aid to biostratigraphy and micropaleontology: a test on late Paleozoic microfossils
Rafael Pires De Lima, Katie F. Welch, James E. Barrick, Kurt J. Marfurt, Roger Burkhalter, Murphy Cassel, Gerilyn S. Soreghan
PALAIOS
...) Inception V3 CNN architecture reached a 3.5% top-5 error (frequency in which the model cannot predict the correct class as one of the top five most...
2020
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
AI to Improve the Reliability and Reproducibility of Descriptive Data: A Case Study Using Convolutional Neural Networks to Recognize Carbonate Facies in Cores
Search and Discovery.com
N/A
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user1
Search and Discovery.com
... Lithotypes Classification with Convolutional Neural Networks Evgeny E. Baraboshkin1, Evdokiya A. Panchenko2, Andrey E. Demidov1, Ardiansyah...
Unknown