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The AAPG/Datapages Combined Publications Database
Showing 622 Results. Searched 200,357 documents.
Lithology and Fluid Seismic Determination for the Acae Area, Puerto Colon Oil Field, Colombia
F. H. Gómez, J. P. Castagna
Asociación Colombiana de Geólogos y Geofisicos del Petróleo (ACGGP)
... of matching model reflectivity from well logs to that contained in the seismic data; * Attribute analysis to predict petrophysical properties from seismic...
2004
Multiscale fault and fracture characterization methods
QiQi Ma, Taizhong Duan
International Meeting for Applied Geoscience and Energy (IMAGE)
...-layer weighted U-net(a) and branching model U-net(b) Figure 7: Comparison of seismic(a) and faults predication methods based on deep learning before (b...
2022
Deep learning seismic full-waveform inversion and transient EM joint inversion for near surface velocity modeling
Daniele Colombo, Ernesto Sandoval-Curiel, Ersan Turkoglu, Weichang Li
International Meeting for Applied Geoscience and Energy (IMAGE)
... of seismic FW and transient EM (TEM) data. Near surface model and data generation A carpet acquisition geometry is used for sources and receivers...
2022
Seismic sparse time-frequency representation via GAN-based unsupervised learning
Youbo Lei, Yang Yang, Naihao Liu, Shengtao Wei, Jinghuai Gao, Xiudi Jiang
International Meeting for Applied Geoscience and Energy (IMAGE)
... the optimization problem. However, STFR is often based on a mathematical model designed with the domain knowledge. Moreover, it suffers from the expensive...
2022
ML-based facies classification on acoustic image logs from Brazilian presalt region
Nan You, Yunyue Elita Li, Arthur Cheng
International Meeting for Applied Geoscience and Energy (IMAGE)
... and then choose the one that provides the lowest validation loss after convergence as the optimal DNN model. RESULTS (2) where yk and pk are the label...
2022
Seismic reflectivity inversion via a regularized deep image prior
Hongling Chen, Mauricio D. Sacchi, Jinghuai Gao
International Meeting for Applied Geoscience and Energy (IMAGE)
... assist in characterizing the subsurface. By adopting the stationary convolution model, seismic reflectivity inversion is posed as a multichannel deblurring...
2022
Noise analysis and ML denoising of DAS VSP data acquired from ESP lifted wells
Ge Zhan, Yao Zhao, Cheng Cheng, Josef Heim, Weihong Fei, Mike Craven, Scott Baker, Gilles Hennenfent
International Meeting for Applied Geoscience and Energy (IMAGE)
... developed a machine learning (ML) workflow that uses a deep convolutional U-Net architecture to model the ESP noise first and then subtract it from...
2022
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)
... using shots with a 15 degree angle mute. The LSRTM result is consistent with the equivalent convolutional model. Our improved LSRTM workflow was also...
2022
Seismic data interpolation via frequency-constrained 3D inception Unet
Yen Sun, Paul Williamson
International Meeting for Applied Geoscience and Energy (IMAGE)
... streamers, in marine acquisitions. We started with a “standard”, 3D convolutional neural network (CNN) architecture: while computationally intense, a 3D...
2022
An immersed absorbing boundary condition for scalar wavefield modeling under topography
KeJi Chen, Hanming Chen, Hui Zhou
International Meeting for Applied Geoscience and Energy (IMAGE)
... of electromagnetic waves. Roden and Gedney (2000) developed a convolutional PML (CPML) that was later introduced to seismic modeling by Komatitsch...
2022
Using deep learning for automatic detection and segmentation of carbonate microtextures
Claire Birnie, Viswasanthi Chandra
International Meeting for Applied Geoscience and Energy (IMAGE)
... on Microsoft’s Common Objects in COntext (COCO) dataset. The resulting model accurately detects and separates a number of crystals observed within...
2022
An integrated workflow of improving the accuracy of first arrivals picking via deep learning
Yitao Pu, Bo Zhang, Chenglin Wei, Yingyu Xu, Hongfei Liu
International Meeting for Applied Geoscience and Energy (IMAGE)
... learning. Firstly, we compute a probability image by applying a model, which is trained using the Historically nested U-Net (HUnet), to the seismic shot...
2022
Synthetic-data-driven deep learning method for elastic parameter inversion
Shuai Sun, Luanxiao Zhao, Huaizhen Chen, Zhiliang He, Jianhua Geng
International Meeting for Applied Geoscience and Energy (IMAGE)
... coefficient sequences; Finally, the Zoeppritz equation and the convolutional model is adopted to synthesize the AVO gather sets. The wavelets used...
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
Joint data and physics model driven full-waveform inversion using CMP gathers and well-logging data
Shuliang Wu, Jianhua Geng
International Meeting for Applied Geoscience and Energy (IMAGE)
..., and J. Ma, 2018, Velociy model building with a modified fully convolutional network: 88th Annual International Meeting, SEG, Expanded Abstracts, 2086...
2023
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
Unsupervised frequency space domain deep learning framework for reconstructing 5D seismic data
Gui Chen, Yang Liu, Haoran Zhang, Mi Zhang, Yuhang Sun
International Meeting for Applied Geoscience and Energy (IMAGE)
... an exponential threshold model for POCS-reconstruction to improve efficiency compared to the linear threshold model (Abma and Kabir, 2006). Gao et al. (2013...
2024
Automatic well-log baseline correction via deep learning for rapid screening of potential CO2 storage sites
Misael M. Morales, Carlos Torres-Verdín, Michael Pyrcz, Murray Christie, Vladimir Rabinovich
International Meeting for Applied Geoscience and Energy (IMAGE)
... convolutional U-Net model to estimate the baselinecorrected SP log from the raw SP log and a set of collocated predictor features based on feature engineering...
2024
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)
... amplitude dynamic range and less signal leakage than convolutional model results (Wang et al. 2019). Figure 2, Transformer model results from Opunake...
2024
Seismic resolution enhancement with self-supervised learning
Shijun Cheng, Tariq Alkhalifah, Haoran Zhang
International Meeting for Applied Geoscience and Energy (IMAGE)
... et al. (2023) incorporated the convolutional model into the loss function in a self-supervised manner to constrain the network’s predicted outcomes...
2024
Supervised vs unsupervised deep learning for time-lapse seismic repeatability enforcement
Son Phan, Wenyi Hu, Aria Abubakar
International Meeting for Applied Geoscience and Energy (IMAGE)
... involving machine learning algorithms for repeatability enforcement. These are based on the convolutional neural network, which have been proven powerful...
2024
Stability criteria for seismic data interpolation artificial neural networks
Yiying Xing, Wenlong Wang, Florian Bossmann, Xuexin An
International Meeting for Applied Geoscience and Energy (IMAGE)
... select three artificial neural networks that have been successfully applied in seismic data interpolation Deep Convolutional Neural Network (DnCNN...
2024
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
A Physics-Guided Deep Learning Predictive Model for Robust Production Forecasting and Diagnostics in Unconventional Wells
Syamil Mohd Razak, Jodel Cornelio, Young Cho, Hui-Hai Liu, Ravimadhav Vaidya, Behnam Jafarpour
Unconventional Resources Technology Conference (URTEC)
... – 211. Mohd Razak S, Jafarpour B. (2020a) Convolutional neural networks (CNN) for feature-based model calibration under uncertain geologic scenarios...
2021
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