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The AAPG/Datapages Combined Publications Database
Showing 324 Results. Searched 195,354 documents.
Deep carbonate reservoir characterization with unsupervised machine-learning approaches
Xuanying Zhu, Luanxiao Zhao, Xiangyuan Zhao, Yuchun You, Minghui Xu, Tengfei Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
... (PCA), T-distributed Stochastic Neighbor Embedding (t-SNE), Uniform Manifold Approximation and Projection (UMAP), and Convolutional Autoencoder (CAE...
2023
Fast viscoacoustic forward modeling method based on U-net Fourier neural operator
Wenbin Tian, Yang Liu
International Meeting for Applied Geoscience and Energy (IMAGE)
... variations within the data. On the other hand, the wavenumber-domain CNN operates as a trainable wavenumber filter, enabling nonlocal spatial convolutional...
2023
The Hybrid Theory-Guided Data Science-Based Method: Unlocking the Full Potential of Seismic Reservoirs Characterization
Rino Saputra, Akash Mathur, Awal Mandong
Indonesian Petroleum Association
... Base) that are later needed for the low-frequency model generation. The well WTR-4A has more complete data and was used as reference well...
2023
Survey merging using CycleGAN and patchy seismic images
Chaoshun Hu, Fan Jiang, Konstantin Osypov, Julianna Toms
International Meeting for Applied Geoscience and Energy (IMAGE)
... frequency and high frequency domains. When there are paired images, CycleGAN will be simplified to be a U-net model where the loss function is using...
2023
A simultaneous denoising and event picking approach using supervised machine learning
Salman Abbasi, Motaz Alfarraj, Dmitry Borisov, Vikram Jayaram, Iftekhar Alam, Bakhtawer Sarosh
International Meeting for Applied Geoscience and Energy (IMAGE)
... problems (i.e., denoising and event detection) using a single network. A convolutional neural network is used to capture the high frequency times series...
2023
Deep nonlinear seismic prior for seismic interpolation
Yuhan Sui, Xiaojing Wang, Jianwei Ma
International Meeting for Applied Geoscience and Energy (IMAGE)
... to be a local linear event in the frequency domain. In the transform-based methods (Sacchi et al., 1998; Yu et al., 2015), seismic data is represented...
2023
Application of Both Physics-Based and Data-Driven Techniques for Real-Time Screen-Out Prediction with High Frequency Data
Jianlei John Sun, Arvind Battula, Brandon Hruby, Paymon Hossaini
Unconventional Resources Technology Conference (URTEC)
... (i.e., screen-out) using domain expert knowledge and three-segment curve fitting. Modified Inverse Slope Model In order to address the issues mentioned...
2020
Abstract: Color Correction for Gabor Deconvolution and Nonstationary Phase Rotation; #90171 (2013)
Peng Cheng and Gary F. Margrave
Search and Discovery.com
... deconvolution is based on a nonstationary convolution model of the seismic trace. Margrave (1998) presented a nonstationary convolutional model, which...
2013
Abstract: Color Correction for Gabor Deconvolution and Nonstationary Phase Rotation; #90171 (2013)
Peng Cheng and Gary F. Margrave
Search and Discovery.com
... deconvolution is based on a nonstationary convolution model of the seismic trace. Margrave (1998) presented a nonstationary convolutional model, which...
2013
Increasing The Resolution of Seismic Imaging With Spectral Blueing, Spectral Decomposition RGB And HSV Blending to Delineate The Fluvial Facies on Fluvio Deltaic Environment
Aji Darma Maulana, Nine Safira, Ongki Ari Prayoga, Egie Wijaksono, Alit Ascaria
Indonesian Petroleum Association
... surveys (Partyka et al., 1999). Spectral decomposition is carried out by converting seismic data into the frequency domain using time-frequency...
2022
Demultiple of High Resolution P-Cable Data in the Norwegian Barents Sea An Iterative Approach
A.J. Hardwick, S. Jansen, B. Kjolhamar
Petroleum Exploration Society of Australia (PESA)
... from the latest The final adapted model is then subtracted in the curvelet n. A data driven, iterative approach is domain. For the first time, through...
2017
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
Abstract: Fast and Accurate Impedance Inversion by Well-Log Calibration; #90171 (2013)
Igor B. Morozov and Jinfeng Ma
Search and Discovery.com
...) the convolutional equation; 2) time-depth constraints from the seismic data, 3) background low-frequency model from the logs or seismic/geological interpretation...
2013
Abstract: Harmonic Decomposition of a Vibroseis Sweep Using Gabor Analysis; #90174 (2014)
Christopher B. Harrison, Gary Margrave, Michael Lamoureux, Art Siewert, and Andrew Barrett
Search and Discovery.com
... (left) and the frequency domain (right) individual results (magenta) of time-dependent Gabor decomposition with respects to the fundamental, H2, H3, H4...
2014
Abstract: Impedance Inversion of Blackfoot 3D Seismic Dataset; #90171 (2013)
A. Swisi and Igor B. Morozov
Search and Discovery.com
... by using the methods below. 2) Model-based inversion is also called blocky inversion. This method is based on the convolutional seismic model: S =W * R + n...
2013
Fault MLReal: A fault delineation study for the Decatur CO2 field data using neural network predicted passive seismic locations
Hanchen Wang, Yinpeng Chen, Tariq Alkhalifah, Youzuo Lin
International Meeting for Applied Geoscience and Energy (IMAGE)
... and performance of Convolutional Neural Networks (CNN). Considering we have labeled training data, referred to in domain adaptation circles...
2023
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
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
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
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
Estimation of Reservoir Fluid Saturation from 4D Seismic Data: Effects of Noise on Seismic Amplitude and Impedance Attributes
Rafael Souza, David Lumley, Jeffrey Shragge
Petroleum Exploration Society of Australia (PESA)
... and therefore time-lapse data in the amplitude domain should be used to update reservoir fluid-flow model properties. In the UNISIM-H model ∆ are caused...
2016
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
Multiple, Diffractions and Diffracted Multiples in the South China Sea: How Dense Does Our Acquisition Geometry Need to be? (Geophysics Paper 16)
Rosemary K Quinn, Lynn B Comeaux
Geological Society of Malaysia (GSM)
... be horizontal over the scale of the SRME aperture in order for the model to be predicted accurately. Clearly, this is rarely the case, but as long...
2011
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
Deep learning-based Vz-noise attenuation for OBS data
Jing Sun, Arash Jafargandomi, Julian Holden
International Meeting for Applied Geoscience and Energy (IMAGE)
... component is its coherency in the common-receiver domain and incoherency in the commonshot domain. There have been a range of noise attenuation...
2023