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The AAPG/Datapages Combined Publications Database
Showing 621 Results. Searched 200,293 documents.
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)
.... INTRODUCTION Resistivity and velocity are essential properties that characterize the subsurface model. Magnetotelluric (MT) and travel time data have...
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
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
CNN for image super-resolution of airborne magnetic data in Ontario, Canada
Rafael Pires de Lima
International Meeting for Applied Geoscience and Energy (IMAGE)
... the two first convolutional blocks of a VGG model (Liu and Deng, 2015) pretrained on ImageNet (Russakovsky et al., 2015). RESULTS AND DISCUSSION We begin...
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
Earthquake Detection and Focal Mechanism Calculation Using Artificial Intelligence
Shane Quimby, Yanwei Zhao, Jie Zhang, GeoTomo
Unconventional Resources Technology Conference (URTEC)
... network (FCN). FCNs are supervised deep learning networks based on convolutional layers, without being fully connected. This necessitates fewer model...
2022
Micro transient EM for seismic sand corrections through physics-coupled deep learning
Daniele Colombo, Ersan Turkoglu, Ernesto Sandoval-Curiel, Javier Giraldo-Buitrago
International Meeting for Applied Geoscience and Energy (IMAGE)
.... data-driven approaches (e.g., tomography), at exploration seismic acquisition specifications, are inadequate to reliably model the extremely low sand...
2022
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
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)
... migration and pressure buildup over large time scales, typically thousands of years. This, in turn, limits the application of conventional flow...
2023
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
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
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)
... a time truncation that excludes values outside the window ( , t ) , which makes the PRR scheme independent of additional model information. Only...
2023
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
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
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
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
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
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
... (t ) ... n * n (t ) ... n 1 (1) where all n are small time-independent convolutional (*) filters. Equation (1) provides a base for four unique methods...
2014
Abstract: FaciesNet: Machine Learning Applications for Facies Classification in Well Logs;
Chayawan Jaikla, Pandu Devarakota, Neal Auchter, Mohamed Sidahmed, Irene Espejo
Search and Discovery.com
... information, facies stacking pattern, and geologic correlations, FaciesNet. Our proposed model incorporates decoding and encoding deep convolutional...
Unknown
A hybrid deep learning network for tight and shale reservoir characterization using pressure and rate transient data
Hamzeh Alimohammadi, Hamid Rahmanifard, and Shengnan Nancy Chen
AAPG Bulletin
...-LSTM model is finally proposed for reservoir classifications with multivariate time series of unequal length (Smirnov and Nguifo, 2018). The DL...
2022
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
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)
... Convolutional Neural Network (DCNN) Result Figure 1. Input and Labelled Targets for DCNN changing waveforms representing low-frequency time series...
2023
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
Efficient and accurate velocity building from Gramian-constrained multiphysics reflection and transmission data
Jide Nosakare Ogunbo
International Meeting for Applied Geoscience and Energy (IMAGE)
..., the use of the convolutional model (Buland and Omre, 2003), by the z-transform, is readily more practical than the seismic operator for either...
2022
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)
... acoustic sensing. The large amounts of data generated by fiber optic sensors must be processed and analyzed in real-time, requiring the use of sophisticated...
2023