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The AAPG/Datapages Combined Publications Database
Showing 621 Results. Searched 200,293 documents.
Multi-Modal Neural Network for Porosity and Permeability Estimation in Tight Gas Reservoirs: A Case Study in the Ordos Basin, China
Shengjuan Cai, Yitian Xiao, Han Wang, Feifei Gou, Hanqing Wang, Yujie Zhou, Tianrui Ye
Unconventional Resources Technology Conference (URTEC)
... capture vertical and lateral variations across the reservoir. The network is designed to handle these multimodal inputs, with convolutional layers...
2025
Inference of Induced Fracture Geometries Using Fiber-Optic Distributed Strain Sensing in Hydraulic Fracture Test Site 2
Stephen Bourne, Kees Hindriks, Alexei A. Savitski, Gustavo A. Ugueto, Magdalena Wojtaszek
Unconventional Resources Technology Conference (URTEC)
... ℒ̇w = ℒ̇ij 𝑛 𝑖 𝑛 𝑗 , (9) The convolutional model for DSS, εw or ε̇ w, due to the proximal fracture aperture field, 𝑎, may then be wr...
2021
Semisupervised learning with knowledge embedding for horizon volumes calculation
Rui Guo, He Lin, Maoshan Chen, Chunfeng Tao, Yingnan Gao, Ruochong Wen
International Meeting for Applied Geoscience and Energy (IMAGE)
..., Ruochong Wen. BGP, CNPC. Summary Different from purely data-driven supervised deep learning, we propose a theory-guided model to autonomously produce...
2023
Transformer-based deep learning model for accurate rate of penetration prediction in drilling
Carlos Urdaneta, Cheolkyun Jeong, Xuqing Wu, Jiefu Chen
International Meeting for Applied Geoscience and Energy (IMAGE)
...Transformer-based deep learning model for accurate rate of penetration prediction in drilling Carlos Urdaneta, Cheolkyun Jeong, Xuqing Wu, Jiefu Chen...
2023
Simulating seismic data using generative adversarial networks
Bradley C. Wallet, Eyad Aljishi, Hussain Alfayez
International Meeting for Applied Geoscience and Energy (IMAGE)
... International Conference on Machine Learning, 70, 214–223. Chellapilla, K., S. Puri, and P. Simard, 2006, High performance convolutional neural...
2022
Equivariant imaging for self-supervised regularly undersampled seismic data interpolation
Weiwei Xu, Vincenzo Lipari, Paolo Bestagini, Politecnico di Milano, Wenchao Chen, Stefano Tubaro
International Meeting for Applied Geoscience and Energy (IMAGE)
... applied, such as Convolutional Autoencoder with mean squared error (MSE) loss (Mandelli et al., 2018) and U-net with a texture loss (Fang et al., 2021...
2022
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: P-wave AVAz Modeling: A Haynesville Case Study; #90224 (2015)
Jon Downton
Search and Discovery.com
... but for simplicity this paper focuses on convolutional modeling. Typically a 1D layered earth model is assumed for which the interpreter assigns elastic...
2015
CGG 3D Surface-Related Multiple Modelling: A Unique Approach, #41590 (2015).
David Le Meur, Antonio Pica, Terje Weisser
Search and Discovery.com
... and shot lines for the required convolutional process. Model-based modeling techniques may require interpolation between streamers, but not between...
2015
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
Seismic impedance inversion via neural networks and linear optimization algorithm
Bo Zhang, Yitao Pu, Ruiqi Dai, Danping Cao
International Meeting for Applied Geoscience and Energy (IMAGE)
..., and a low frequency model. The loss function of PINNs is designed to minimize the difference between real seismograms and synthetic seismic...
2024
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
Abstract: Azimuthal Simultaneous Elastic Inversion; #90172 (2014)
Jon Downton, Benjamin Roure
Search and Discovery.com
... would like to generalize the model to the case of a stack of anisotropic layers. Secondly, as Goodway et al. (2006) argue, the near offset...
2014
Integrating Deep Learning and Seismic Data for Mudstone Characterization and SAGD Development in Heterogeneous Reservoirs
Huiwen Pang, Hanqing Wang, Chuan Qin, Jingwei Tian
Unconventional Resources Technology Conference (URTEC)
... calibration to establish spatiotemporally aligned training data; (2) Deep Learning Model Development, employing convolutional neural networks...
2025
Application of intelligent fault identification and sealing evaluation technology in Lukeqin area
Sun bo, Lin Yu, Guo Xiang, Yin Xue Bin, Nie Zhiwei, Liu Hongyan
International Meeting for Applied Geoscience and Energy (IMAGE)
... as a whole. Through fault model construction, deep learning and direct prediction, the micro-fault prediction technology based on convolutional neural...
2024
Stochastic inversion method based on a priori information of compression-sensing divided-frequency waveform indication
Ying Lin, Siyuan Chen, Guangzhi Zhang, Baoli Wang, Minmin Huang
International Meeting for Applied Geoscience and Energy (IMAGE)
... of the proposed method is verified using both marmousi2 model data and field data. combined continuous wavelet transform and convolutional neural...
2023
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)
... until a steady state is reached. To create a predictive model that is able to learn from the LBM simulation outputs, we used a convolutional neural...
2020
Using Machine Learning to Automate FDI Analysis
Reid Thompson, Lance Legel, Thomas Hanlon
Unconventional Resources Technology Conference (URTEC)
... is an automated stage detection model. The core of the stage detection model is a onedimensional deep convolutional U-net neural network with residual layers...
2024
Accurate seismic data interpolation based on multiband intelligent training
Xueyi Sun, Benfeng Wang, Tongtong Mo
International Meeting for Applied Geoscience and Energy (IMAGE)
... information about subsurface structures and geological features. During the optimization of convolutional neural network (CNN)-assisted seismic data...
2023
Noise suppression and compressive sensing recovery with seismic-adapted DnCNN within RED
Nasser Kazemi
International Meeting for Applied Geoscience and Energy (IMAGE)
..., applying natural-images-learned feedforward denoising convolutional neural networks (DnCNN) operator on seismic data does not provide satisfactory...
2024
Automatic facies classification using convolutional neural network for three-dimensional outcrop data: Application to the outcrop of the mass-transport deposit
Ryusei Sato, Kazuki Kikuchi, and Hajime Naruse
AAPG Bulletin
... point clouds used as training data for the convolutional neural network (CNN) model. (A, C) Original point cloud used as training data for the CNN model...
2025
A novel approach to hydrocarbon reserves estimation through the integration of AI-based solutions: 3D gamma-ray prediction and 3D seismic clustering
Konstantin Matrosov, Orkhan Mammadov, Tarek Eliva, Ruslan Malikov, Izat Shahsenov
International Meeting for Applied Geoscience and Energy (IMAGE)
... Ray (GR) prediction requires a seismic reflectivity stack and GR log from the wells. In the background, it utilizes the Convolutional Neural Network...
2024
Adaptive Eigenstructure Classification and Stochastic Decorrelation Filters for Coherent Interference Suppression in the Acoustic Zoom Method, #41503 (2014).
J. Guigne, S. Azad, C. Clements, A. Gogacz, W. Hunt, A. Pant, J. Stacey
Search and Discovery.com
..., thereby casting the imaging problem into a non-convolutional form. Adaptive processing allows the AZ method to include more realistic models of propagating...
2014
Extrapolated surface-wave dispersion inversion
Hongyu Sun, Laurent Demanet
International Meeting for Applied Geoscience and Energy (IMAGE)
... interferometric virtual shot gathers and demonstrate the benefits of such low frequencies in velocity model building using a field dataset...
2022
NLP applications in the oil and natural gas industry
Prashanth Pillai, Srikanth Ryali, Hiren Maniar, Purnaprajna Mangsuli, Aria Abubakar
International Meeting for Applied Geoscience and Energy (IMAGE)
... of previous architectures such as long-shortterm-memory (LSTM) (Hochreiter et al., 1997) and convolutional neural network (CNN) (Krizhevsky et al...
2022