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The AAPG/Datapages Combined Publications Database
Showing 622 Results. Searched 200,357 documents.
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
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
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)
... in the frequency domain: Geophysics, 68, 634–640, doi: https://doi.org/10.1190/1.1567233. Second International Meeting for Applied Geoscience & Energy...
2022
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
A novel deep learning-assisted reservoir fracture delineation with conditional generative adversarial networks
Ardiansyah Koeshidayatullah, Ivan Ferreira
International Meeting for Applied Geoscience and Energy (IMAGE)
...) model being chosen to test the abilities of image domain-translation in geoscientific tasks. This architecture uses a U-Net Ronneberger et al. (2015...
2022
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
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
Application of interactive convolutional neural network micro-fracture prediction technology based on prestack depth migration data in deep shale gas reservoirs
Xiaolan Wang, Furong Wu, Junfeng Liu, Dianguang Zang, Xiao Yang, Yangjing Li, Xiaoyan Cheng
International Meeting for Applied Geoscience and Energy (IMAGE)
... Neural Prediction Technology Network (CNN) Fracture Convolutional neural networks are a type of deep learning model specifically designed...
2024
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
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
Deep convolutional neural networks for generating grain-size logs from core photographs
Thomas T. Tran, Tobias H. D. Payenberg, Feng X. Jian, Scott Cole, and Ishtar Barranco
AAPG Bulletin
...Deep convolutional neural networks for generating grain-size logs from core photographs Thomas T. Tran, Tobias H. D. Payenberg, Feng X. Jian, Scott...
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
A recipe for practical iterative LSRTM with synthetic and real data examples from Brazil
Valeriy Brytik, Gopal Palacharla, Rishi Bansal, Diwi Snyder, Xu Li, Young Ho Cha, Partha Routh, Inma Dura-Gomez, Dmitriy Pavlov, Carey Marcinkovich
International Meeting for Applied Geoscience and Energy (IMAGE)
.... For a given acquisition geometry and target region of the model, the amplitude spectrum of the gradient can be expressed in the frequency domain...
2022
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)
... image databases such as ImageNet, there are few geologically diverse, public 3D field seismic databases of similar scale in post-stack domain for model...
2024
A deep learning-based inverse Hessian for full-waveform inversion
Mustafa Alfarhan, Matteo Ravasi, Tariq Alkhalifah
International Meeting for Applied Geoscience and Energy (IMAGE)
.... A smoothed version of this model is used as starting guess for FWI. A wavelet with a peak frequency of 5 Hz is utilized to perform the modeling of 25 shots...
2023
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
Dual constrained reservoir modeling with geological factors and seismic attributes for exploration stage
Hongmei Luo, Yiran Xing, Changjiang Wang, Zhijing Zhang
International Meeting for Applied Geoscience and Energy (IMAGE)
... model as the covariate to realize the geostatistical modeling in the exploration stage. Consequently, the reliability and effectiveness of the modeling...
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
Rock-physics based time-lapse inversion in Delivery4D: synthetic feasibility study for CO2CRC Otway Project
Stanislav Glubokokvskikh, James Gunning, Tess Dance, Roman Pevzner, Dmitry Popik, Christian Proud
Petroleum Exploration Society of Australia (PESA)
... seismic AVO-inversion based on convolutional model of seismic trace. A subsurface model consists of 1D ‘layered cakes’, inverted independently...
2018
Prestack Seismic Data Inversion for Shale Gas Reservoir Characterization in China; #41829 (2016)
Gang Yu, Yusheng Zhang, Uwe Strecker, Maggie Smith
Search and Discovery.com
... connected to well information through well-tie and wavelet extraction. Well data is also used in the low frequency model along with interpreted horizons...
2016
Novel application of machine learning assisted fault interpretation to delineate earthquake risk from saltwater disposal in the Midland Basin
Niven Shumaker, Mohammed Afia
International Meeting for Applied Geoscience and Energy (IMAGE)
... seismic survey using a 3D convolutional neural for edge pixels in a 2D data array. Lines that pass through network (Abubakar et al. 2022). Fault points...
2023