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.
Abstract: P-wave AVAz Modeling: A Haynesville Case Study; #90224 (2015)
Jon Downton
Search and Discovery.com
... but for simplicity this paper focuses on convolutional modeling. Typically a 1D layered earth model is assumed for which the interpreter assigns elastic...
2015
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
Extrapolated surface-wave dispersion inversion
Hongyu Sun, Laurent Demanet
International Meeting for Applied Geoscience and Energy (IMAGE)
... interferometric virtual shot gathers and demonstrate the benefits of such low frequencies in velocity model building using a field dataset...
2022
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
A case study of generating synthetic seismic from simulation to validate reservoir models
Dhananjay Kumar, Jing Zhang, Robert Chrisman, Nayyer Islam, Matt Le Good
International Meeting for Applied Geoscience and Energy (IMAGE)
... a velocity model. Once the elastic model is in the time domain, we used the convolutional method to simulate synthetic seismic. The seismic response (EEI10...
2022
Post Migration Processing of Seismic Data
Dashuki Mohd.
Geological Society of Malaysia (GSM)
... or multiples. The basis for deconvolution is the convolutional model (Robinson, 1984). In the convolutional model, a seismic trace is viewed...
1994
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
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
Sub-seafloor reflectivity estimation by upgoing wavefield deconvolution
Hassan Masoomzadeh, Tim Seher, M. A. H. Zuberi
International Meeting for Applied Geoscience and Energy (IMAGE)
... wavefield. Figure 2 aims to explain that the convolutional relationship between successive data terms is represented by two-way propagation...
2023
Implementation of Denoising Diffusion Probability Model for Seismic Interpretation
Fan Jiang, Konstantin Osypov, Julianna Toms
International Meeting for Applied Geoscience and Energy (IMAGE)
...Implementation of Denoising Diffusion Probability Model for Seismic Interpretation Fan Jiang, Konstantin Osypov, Julianna Toms Implementation...
2023
Optimization of Relative Geological Time Derived From Flow Field A Label Free Approach
Zhun Li
International Meeting for Applied Geoscience and Energy (IMAGE)
..., Using relative geologic time to constrain convolutional neural network-based seismic interpretation and property estimation: Geophysics, 87, IM25–IM35...
2023
Stochastic inversion method based on a priori information of compression-sensing divided-frequency waveform indication
Ying Lin, Siyuan Chen, Guangzhi Zhang, Baoli Wang, Minmin Huang
International Meeting for Applied Geoscience and Energy (IMAGE)
... of the proposed method is verified using both marmousi2 model data and field data. combined continuous wavelet transform and convolutional neural...
2023
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
U-net based primary alignment
Ricard Durall, Ammar Ghanim, Norman Ettrich
International Meeting for Applied Geoscience and Energy (IMAGE)
... processing workflows. Misalignments are mainly caused by inaccuracies in the velocity model. Traditional approaches to event flattening typically involve...
2023
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
Semisupervised learning with knowledge embedding for horizon volumes calculation
Rui Guo, He Lin, Maoshan Chen, Chunfeng Tao, Yingnan Gao, Ruochong Wen
International Meeting for Applied Geoscience and Energy (IMAGE)
..., Ruochong Wen. BGP, CNPC. Summary Different from purely data-driven supervised deep learning, we propose a theory-guided model to autonomously produce...
2023
Improving fault resolution from multiple angle stacks by latent feature analysis with deep learning
Fan Jiang, Konstantin Osypov
International Meeting for Applied Geoscience and Energy (IMAGE)
... the ultimate "best-of-all" output. In this abstract, we use the convolutional network to analyze each predicted fault in latent space and then combine...
2024
Deep learning approach for denoising and resolution enhancement of poststack seismic data
Ruslan Malikov, Tatyana Yusubova, Izat Shahsenov
International Meeting for Applied Geoscience and Energy (IMAGE)
... structure. To mimic real geological structures, folding, and tilting are added by vertically shifting the initial model. The fault complexes are added...
2024
S-wave velocity prediction using a deep learning scheme and attention mechanism
Gang Feng, Wen-Qin Liu, Zhe Yang, Wei Yang, Jian-Hua Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
... several limitations, such as poor model generalization, inadequate exploration of logging curve patterns. In this study, a novel approach based on one...
2024
Time-lapse seismic data shaping with transformer encoder neural networks
Jorge E. Monsegny, Daniel O. Trad, Don C. Lawton
International Meeting for Applied Geoscience and Energy (IMAGE)
.... Alali et al. (2021) use convolutional neural networks to perform this filtering, while Alali et al. (2022) employ recurrent neural networks to shape...
2024
Technical Article: Finding Subtle Traps with Seismic: Interpretative Criteria Clarified
A. Easton Wren
Petroleum Exploration Society of Australia (PESA)
... to what the section should look like. Progressive understanding of the seismic method introduced the concept of the convolutional model: this found...
1986
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
Self-parametrizing seismic data processing modules: An example on coherent noise suppression
Simone Re, Ran Bachrach, Massimo Clementi, Collin Wilson
International Meeting for Applied Geoscience and Energy (IMAGE)
... separated by means of filtering. In comparison, more sophisticated techniques exploit the physics of surface-wave propagation to model the coherent noise...
2024
3D ultra high resolution seismic processing A case study from offshore USA
Bertrand Caselitz, Luca Limonta, Julien Oukili, Jonas Tegnander, Vicky Catterall
International Meeting for Applied Geoscience and Energy (IMAGE)
... reflections. The demultiple step, utilizing methods like convolutional 3D Surface Related Multiple Elimination (SRME) and 3D wave-equation multiple...
2024
Research and application of Intelligent high resolution processing method based on ISTA-Net
Huahui Zeng, Qin Su, Sanyi Yuan, Lide Wang, Yanwu Xu, Huijie Meng, Deying Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
... of these methods in mathematical form and numerical test. Yuan et al. (2021) established a connection between traditional model-driven high-resolution processing...
2024