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 622 Results. Searched 200,357 documents.
Abstract: Azimuthal Simultaneous Elastic Inversion; #90172 (2014)
Jon Downton, Benjamin Roure
Search and Discovery.com
... initial layered elastic model defined in the time domain. By using angle stacks, NMO stretch (Roy et al. 2005) and scaling issues can be addressed...
2014
A flexible and versatile joint inversion framework using deep learning
Yanyan Hu, Jiefu Chen, Xuqing Wu, Yueqin Huang
International Meeting for Applied Geoscience and Energy (IMAGE)
... and prospects. Unlike conventional end-to-end networks that map directly from the data domain to the model domain, this DLE framework is designed...
2022
Using Second-Order Adjoint State Methods in GPUS to Quantify Resolution on Full Waveform Inversions, #42034 (2017).
Sergio Abreo, Ana Ramirez, Oscar Mauricio Reyes Torres
Search and Discovery.com
... Inversion (FWI) allows quantifying resolution of the velocity model obtained. Although there are different ways to compute approximations of the Hessian...
2017
Application of SVM machine learning high-resolution fusion inversion in stratigraphic correlation
Lyu Huaxing, Zhang Weiwei, Chen Zhaoming, Zhang Zhenbo, Liu Junyi, Xu Hao
International Meeting for Applied Geoscience and Energy (IMAGE)
... machine learning algorithm has strong fitting ability in high-dimensional space, and can obtain a complex mapping model between three frequency band...
2024
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
Residual Saturation During Multiphase Displacement in Heterogeneous Fractures with Novel Deep Learning Prediction
Eric Guiltinan, Javier E. Santos, Qinjun Kang
Unconventional Resources Technology Conference (URTEC)
..., and C with A being the least correlated field and C the most correlated. The entire model domain is 128 x 256 x 33 with a single planar fracture...
2020
Integrating U-net into full-waveform inversion for salt body building: A challenging case
Sixiu Liu, Abdullah Alali, Shijun Cheng, Tariq Alkhalifah
International Meeting for Applied Geoscience and Energy (IMAGE)
..., 2018; Zhao et al., 2021). Without requiring a good initial model, long offsets, and the low-frequency components, Alali and Alkhalifah (2023) performed...
2024
Volumetric Calculations Using 3D Seismic Calibrated Against Porosity Logs - Pretty Hill Formation Reservoirs, Onshore Otway Basin
P. J. Boult, J. Donley
Petroleum Exploration Society of Australia (PESA)
... be considered an extension of the conventional post-stack inversion process. The latter method uses a convolutional model, which is based on an extracted...
2001
AVA attribute estimation from misaligned seismic gathers using U-Net
Ammar Ghanim, Ricard Durall, Norman Ettrich
International Meeting for Applied Geoscience and Energy (IMAGE)
... are mainly caused by inaccuracies in the velocity model used during migration. Aligning these reflections in seismic normal moveout (NMO) corrected...
2024
Prestack Seismic Data Inversion for Shale Gas Reservoir Characterization in China
Gang Yu, Yusheng Zhang, Ximing Wang, Xing Liang, Uwe Strecker, Maggie Smith
Unconventional Resources Technology Conference (URTEC)
... model along with interpreted horizons for structural control. The seismic velocity field provides low frequency impedance trends away from the well...
2016
Integrating U-net with full-waveform inversion for an efficient salt body construction
Abdullah Alaliand, Tariq Alkhalifah
International Meeting for Applied Geoscience and Energy (IMAGE)
..., T., 2016, Full-model wavenumber inversion: An emphasis on the appropriate wavenumber continuation: Geophysics, 81, no. 3, R89–R98, doi: https...
2022
Assessment of Micro-Fracture Density using Combined Interpretation of NMR Relaxometry and Electromagnetic Logs
Lu Chi, Marcus, Elliot, Zoya Heidari, Mark Everett
Unconventional Resources Technology Conference (URTEC)
... NMR analytical model for fracture-pore coupling to account for micro-fractures in the rock. This model was verified through NMR numerical simulations...
2014
Efficient subsurface carbon storage modeling with Fourier neural operator
Suraj Pawar, Pandu Devarakota, Faruk O. Alpak, Jeroen Snippe, Detlef Hohl
International Meeting for Applied Geoscience and Energy (IMAGE)
... accurately model the complex interplay of buoyancy, viscous, and capillary forces for large subsurface CO2 containers over long forecast periods. However...
2023
Digital Innovation in Subsea Integrity Management
Ricky Thethi, Dharmik Vadel, Mark Haning, Elizabeth Tellier
Australian Petroleum Production & Exploration Association (APPEA) Journal
... (RNN) and convolutional neural network (CNN) based algorithms have been found (Sundararaman et al. 2018) to work well in developing time domain stress...
2020
Abstract: Seismic Characterization of Complex Salt Dome Structures using Machine Learning; #91204 (2023)
Osama Alsalmi, Saleh Dossary, Gino Ananos
Search and Discovery.com
.... Convolutional Neural Networks (CNNs) gained popularity in image segmentation tasks. In this study, a machine learning model based on U-Net architecture is used...
2023
-- no title --
user1
Search and Discovery.com
... and optimization in seismic interpretation workflow. The existing workflow for seismic interpretation using Convolutional Neural Network (CNN) relies...
Unknown
GPU-based 3D anisotropic elastic modeling using mimetic finite differences
Harpreet Singh, Jeffrey Shragge, Ilya Tsvankin, Fatmir Hoxha
International Meeting for Applied Geoscience and Energy (IMAGE)
... with the Cartesian coordinate planes. The model size with a 7.5 m spacing is [Nx , Ny , Nz ] = 2563 . We inject a Ricker wavelet with a peak frequency of 20...
2022
Estimation of anisotropic parameters from semblance picking using dynamic programming
Hong Liang, Houzhu (James) Zhang, Dongliang Zhang, Hongwei Liu, Xu Ji
International Meeting for Applied Geoscience and Energy (IMAGE)
.... Conventioanlly, seismic model building starts from time-domain velocity analysis using semblance scanning (Taner and Koehler, 1969). The stacking...
2022
Do We Really Need Deep Learning? A Study on Play Identification using SEM Images
Hanyan Zhang, Max T. Kasumov, Deepak Devegowda, Mark E. Curtis
Unconventional Resources Technology Conference (URTEC)
... classification. For all image resolutions considered, surprisingly, the simplest and shallowest one-convolutional layer model performs remarkably well...
2021
Innovative Deep Autoencoder and Machine Learning Algorithms Applied in Production Metering for Sucker-Rod Pumping Wells
Peng Yi, Xiong Chunming, Zhang Jianjun, Zhang Yashun, Gan Qinming, Xu Guojian, Zhang Xishun, Zhao Ruidong, Shi Junfeng, Liu Meng, Wang Cai, Chen Guanhong
Unconventional Resources Technology Conference (URTEC)
.... The machine-learning model contains two neural networks: first, a deep autoencoder to extract the feature representations from all the dynamometer...
2019
Hydraulic fracture-hit detection system using low-frequency DAS data
Xiaoyu Zhu, Ge Jin, Richard Hammack
International Meeting for Applied Geoscience and Energy (IMAGE)
.... Zhu, and A. D. Hill, 2021, Classification and localization of low-frequency das strain rate patterns with convolutional neural networks: 18–21...
2022
Abstract: Seismic Fault Detection by Denoising Diffusion Probabilistic Model; #91204 (2023)
Bingbing Sun, Ali Abdulmohsen, Nasher AlBinHassan
Search and Discovery.com
...Abstract: Seismic Fault Detection by Denoising Diffusion Probabilistic Model; #91204 (2023) Bingbing Sun, Ali Abdulmohsen, Nasher AlBinHassan Seismic...
2023
Explainable machine learning for hydrocarbon prospect risking
Ahmad Mustafa, Ghassan AlRegib
International Meeting for Applied Geoscience and Energy (IMAGE)
... limited thus far owing to a lack of transparency in the way complicated, black box models generate decisions. We demonstrate how LIME—a model-agnostic...
2022
MACHINE LEARNING UTILIZATION FOR ENHANCED SUCKER ROD PUMP DYNACARD RECOGNITION
Fadhila Tanjungsari, Hilman Lazuardi, Bonni Ariwibowo, Indra Sukmana, and Candra Kurniawan
Indonesian Petroleum Association
...% testing datasets, and 10% validation datasets. Different machine learning algorithms were evaluated, and it is found that the top performing model...
2025
Automatic well-log baseline correction via deep learning for rapid screening of potential CO2 storage sites
Misael M. Morales, Carlos Torres-Verdín, Michael Pyrcz, Murray Christie, Vladimir Rabinovich
International Meeting for Applied Geoscience and Energy (IMAGE)
... convolutional U-Net model to estimate the baselinecorrected SP log from the raw SP log and a set of collocated predictor features based on feature engineering...
2024