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The AAPG/Datapages Combined Publications Database
Showing 621 Results. Searched 200,293 documents.
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
Unsupervised machine learning for seismic facies classification using a 3D grid approach
David Manzano, Edgar Galvan, Dan Ferdinand Fernandez
International Meeting for Applied Geoscience and Energy (IMAGE)
... that describe characteristics such as amplitude, frequency, phase. With advances in ML, technology has emerged for applications to seismic facies...
2024
Robust localized adaptive waveform inversion: A new regularization for Gabor deconvolution
Peng Yong, Romain Brossier, Ludovic Mtivier
International Meeting for Applied Geoscience and Energy (IMAGE)
...) used in LAWI, can be defined by a non-stationary ˆ convolutional model in the time-frequency domain (Yong et al., 2021): ˆ w(t, ω)d(t, ω) = p(t, ω), ˆ ˆ...
2022
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
Time-lapse matching of OBN seismic data using 2D convolutional neural networks
Ramon C. F. Araújo, Gilberto Corso, Samuel Xavier-de-Souza, João M. de Araújo, Tiago Barros
International Meeting for Applied Geoscience and Energy (IMAGE)
...Time-lapse matching of OBN seismic data using 2D convolutional neural networks Ramon C. F. Araújo, Gilberto Corso, Samuel Xavier-de-Souza, João M. de...
2024
Leveraging self-supervised deep learning to address cross-talks in multi-parameter inversions
Wenlong Wang, Yulang Wu, Yanfei Wang, George A. McMechan
International Meeting for Applied Geoscience and Energy (IMAGE)
... convolutional neural network-domain full-waveform inversion: Geophysics, 84, no. 6, R881–R896, doi: https://doi.org/10.1190/geo2018-0224.1. Wu, Y., and G...
2024
Attention-based self-calibrated convolution neural network for efficient facies classification
Motaz Alfarraj
International Meeting for Applied Geoscience and Energy (IMAGE)
... and production operations. Deep convolutional neural networks have been widely used for seismic interpretation tasks including detection, classification...
2024
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
Enhancing seismic image resolution using Brownian diffusion bridge model
Bingbing Sun, Abdulmoshen M. Ali, Tariq Alkhalifah
International Meeting for Applied Geoscience and Energy (IMAGE)
...Enhancing seismic image resolution using Brownian diffusion bridge model Bingbing Sun, Abdulmoshen M. Ali, Tariq Alkhalifah Enhancing seismic image...
2024
Application of transfer learning and multi-scale feature fusion in intelligent suppression of seismic random noise
Xin Xu, Wuyang Yang, Xinjian Wei, Haishan Li, Nang Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
.... Key Laboratory of lnternet of Things,CNPC Summary Denoising Convolutional Neural Networks (DnCNN), a data-driven learning algorithm, has been widely...
2024
Interpretation of deep neural networks for carbonate thin section classification
Lukas Mosser, George Ghon, Gregor Baechle
International Meeting for Applied Geoscience and Energy (IMAGE)
... SUMMARY This study uses ImageNet pretrained convolutional neural networks (CNNs), VGG11 and ResNet18 models to predict carbonate rock and pore types...
2022
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
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
Joint inversion of magnetotelluric and seismic travel time data with intelligent interpretation of geophysical models
Hongyu Zhou, Rui Guo, Maokun Li, Fan Yang, Shengheng Xu, Zuzhi Hu, Deqiang Tao
International Meeting for Applied Geoscience and Energy (IMAGE)
... equations ∂ 2 Ex ∂ 2 Ex + + (ω 2 µε + iω µσ )Ex = 0 ∂ y2 ∂ z2 (1) ∂ Ex = iω µHy (2) ∂z from the Maxwell’s equation in the frequency domain with time...
2022
Deep learning in salt interpretation from R&D to deployment: Challenges and lessons learned
Pandu Devarakota, Apurva Gala, Zhenggang Li, Engin Alkan, Yihua Cai, John Kimbro, Dean Knott, Jeff Moore, Gislain Madiba
International Meeting for Applied Geoscience and Energy (IMAGE)
... a critical role in velocity model building in both exploration and development fields. It is a time-consuming effort that requires key domain expertise...
2022
A geophysical prior knowledge guided semisupervised deep learning framework for AVA inversion
Lei Zhu
International Meeting for Applied Geoscience and Energy (IMAGE)
... forward model. This reduces the dependence of the framework on training data. This GPKGS framework preserves the physical process of AVA inversion, making...
2024
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
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
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: Post-stack Inversion of the Hussar Low Frequency Seismic Data; #90187 (2014)
Patricia E. Gavotti, Don C. Lawton, Gary F. Margrave, and J. Helen Isaac
Search and Discovery.com
... when the low-frequency component is absent in the seismic data. Filtered seismic-data (10-15-60-85 Hz) and an initial model with a 10-15 Hz cut-off were...
2014
Generative modeling for inverse problems
Rami Nammour
International Meeting for Applied Geoscience and Energy (IMAGE)
... of the model (the domain) of the IP renders global optimization methods feasible, circumventing nonconvexity. The decimation of the data (the range) of the IP...
2022
Abstract: Correlation of P-P and P-S Data in Yinggehai Basin, South China Sea; #90171 (2013)
Jinfeng Ma, Le Gao, and Igor Morozov
Search and Discovery.com
... for making P-S offset synthetic seismograms using convolutional model was proposed by Stewart (1991). In the weak contrast of the boundary, P-S wave...
2013
Marchenko redatuming and seismic interferometry based internal multiple prediction for salt structures
Zhiwei Gu, Jianhua Geng, Ru-Shan Wu
International Meeting for Applied Geoscience and Energy (IMAGE)
...-pseudo-depth domain but simultaneously incur higher computational costs. Jakubowicz (1998) extends the Surface-Related Multiple Elimination (SRME...
2023
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
Transformer-based network for an efficient ground roll suppression
Randy Harsuko, Omar Saad, Tariq Alkhalifah
International Meeting for Applied Geoscience and Energy (IMAGE)
...). This is attributed to the new components introduced to the model, namely the learnable positional encoding, the 1D convolutional encoder-decoder...
2024