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The AAPG/Datapages Combined Publications Database
Showing 622 Results. Searched 200,357 documents.
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
Multi-realization seismic data processing with deep variational preconditioners
Matteo Ravasi
International Meeting for Applied Geoscience and Energy (IMAGE)
... at the available traces. The modelling operator combines the up- and down-going fields in the frequency-wavenumber domain to produce the total pressure...
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
Abstracts: Full Waveform Inversion Using One-way Migration and Well Calibration; #90173 (2015)
Gary F. Margrave, Robert J. Ferguson, and Chad M. Hogan
Search and Discovery.com
...: GEOPHYSICS, 44, 3-26. Pratt, R. G., 1999, Seismic waveform inversion in the frequency domain, Part I: Theory and verification in a physical scale model...
2015
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
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: Fault System Delineation Driven by New Technology in Tazhong Karsted Carbonate Reservoirs; #91204 (2023)
Yanming Tong, Xingliang Deng, Chuan Wu, Shiti Cui, Pin Yang, Chunguang Shen, Gaige Wang, Jiangyong Wu, Chenqing Tan
Search and Discovery.com
..., i.e. Radon domain signal and resolution enhancement, Time-domain amplitude balancing and Frequency-domain lowfrequency balancing. From the raw...
2023
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
Self-supervised learning for seismic swell noise removal
Yuan Zi, Shirui Wang, Pengyu Yuan, Xuqing Wu, Jiefu Chen, Zhu Han
International Meeting for Applied Geoscience and Energy (IMAGE)
... on priors. Two priors in the frequency domain are introduced to the training Second International Meeting for Applied Geoscience & Energy...
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
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)
..., R. G., 1999, Seismic waveform inversion in the frequency domain, Part 1: Theory and verification in a physical scale model: Geophysics, 64, 888–901...
2022
Optimized transparent boundary conditions for wave propagation
G. Roncoroni, B. Arntsen, E. Forte, M. Pipan
International Meeting for Applied Geoscience and Energy (IMAGE)
... within a 1D velocity model, we ensure the absence of boundary reflections within the region of interest of the extended domain (see Figure 2), thereby...
2024
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
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
Fracture-cavity carbonate reservoir identification based on channel attention mechanisms
Liuxin Yang, Yongqiang Ma, Guangxiao Deng, Zhen Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
... convolutional neural networks and channel attention mechanisms. We use seismic data and low-frequency impedance data to generate inputs of training...
2023
Physics-directed unsupervised machine learning: Quantifying uncertainty in seismic inversion
Sagar Singh, Yu Zhang, David Thanoon, Pandu Devarakota, Long Jin, Ilya Tsvankin
International Meeting for Applied Geoscience and Energy (IMAGE)
... inversion. We add a low-frequency model to the network output, calculate the reflectivity r(t), and convolve it with the wavelet w(t) to generate...
2022
Mitigating elastic effects of acoustic full-waveform inversion with deep learning and application to field data
Dimitri Voytan, Adriano Gomes, Debanjan Datta, Ren-douard Plessix, Anu Chandran, Ken Matson
International Meeting for Applied Geoscience and Energy (IMAGE)
... convolutional network approach presented by Li et al. (2019) to a realistic 3D synthetic velocity model under a narrow-azimuth marine streamer acquisition...
2022
Nonuniform dispersed source arrays for broadband seismic acquisition
Joaqun A. Acedo, Mauricio D. Sacchi
International Meeting for Applied Geoscience and Energy (IMAGE)
...-DSA data via the convolutional model and a source operator that plays the role of the restriction operator in CS (Candes, 2008). The latter contains...
2023
Towards Universal Production Forecasting via Adversarial Transfer Learning and Transformer with Application in the Shengli Oilfield, China
Ji Chang, Jin Meng, Dongwei Zhang, Tianrui Ye, Han Wang, Yitian Xiao
Unconventional Resources Technology Conference (URTEC)
... compare it with three nontransfer training strategies: source only, which refers to testing the target domain ( ) with the model trained only...
2024
Reliability estimation of the prediction results by 1D deep learning ATEM inversion using maximum depth of investigation
Hyeonwoo Kang, Minkyu Bang, Soon Jee Seol, Joongmoo Byun
International Meeting for Applied Geoscience and Energy (IMAGE)
... and, for the last heights, 10 m interval was used. Numerical modeling was performed in frequency domain using EM1D algorithm (Kim et al., 1997) for 35 frequencies...
2022
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
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
Deep Earth: Leveraging neural networks for seismic exploration objectives
Tariq Alkhalifah, Claire Birnie, Randy Harsuko, Hanchen Wang, Oleg Ovcharenko
International Meeting for Applied Geoscience and Energy (IMAGE)
... cost of training, availability of training samples, the applicability of the trained model to real data (generalization), and more importantly...
2022
Source location using physics-informed neural networks with hard constraints
Xinquan Huang, Tariq Alkhalifah
International Meeting for Applied Geoscience and Energy (IMAGE)
... of the sources by representing the frequency-domain wavefield by as a neural network function of spatial coordinates and angular frequency. Specifically, we...
2022