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The AAPG/Datapages Combined Publications Database
Showing 624 Results. Searched 200,693 documents.
Deep compressed learning for 3D seismic inversion
Maayan Gelboim, Amir Adler, Yen Sun, Mauricio Araya-Polo
International Meeting for Applied Geoscience and Energy (IMAGE)
... (sorted seismic records) to a 3D velocity model, implemented using a deep convolutional neural network (DCNN). The proposed method provides a solution...
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
Effectiveness of dip-in DAS observations for low-frequency strain and microseismic analysis: The CanDiD experiment
David W. Eaton, Yuanyuan Ma, Chaoyi Wang, Kelly MacDougall
International Meeting for Applied Geoscience and Energy (IMAGE)
...Effectiveness of dip-in DAS observations for low-frequency strain and microseismic analysis: The CanDiD experiment David W. Eaton, Yuanyuan Ma...
2022
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
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
AVO and Inversion Contribute to Makassar Exploration Efforts
William L. Soroka, Herry Andiarbowo, Anung Widodo
Indonesian Petroleum Association
... representation of true amplitude normal incidence P-wave reflectivity. From the convolutional model, it is understood that the seismic wavelet convolved...
1995
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
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
Assessing and processing three-dimensional photogrammetry, sedimentology, and geophysical data to build high-fidelity reservoir models based on carbonate outcrop analogues
Ahmad Ramdani, Pankaj Khanna, Gaurav Siddharth Gairola, Sherif Hanafy, and Volker Vahrenkamp
AAPG Bulletin
... tomogram inverted from the synthetic ray path in (C). (F) The 2-D zero-offset convolutional reflection model calculated using a 120-Hz Ricker wavelet...
2022
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
Application of Machine Learning Methods to Assess Progressive Cavity Pumps (PCPs) Performance in Coal Seam Gas (CSG) Wells
Fahd Saghir, M. E. Gonzalez Perdomo, Peter Behrenbruch
Australian Petroleum Production & Exploration Association (APPEA) Journal
... of Convolutional Auto Encoders (CAE) and Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN) methodologies to characterise...
2020
Operator chains and seismic data decomposition
Sergey Fomel
International Meeting for Applied Geoscience and Energy (IMAGE)
... at Austin SUMMARY nating between the space domain and the frequency domain. Chains of elementary operators can be used to approximate more complex...
2022
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
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
Noise suppression and compressive sensing recovery with seismic-adapted DnCNN within RED
Nasser Kazemi
International Meeting for Applied Geoscience and Energy (IMAGE)
..., i.e., seismic domain. In this paper, we explore the transferability of feedforward denoising convolutional neural networks (DnCNN) learned operator...
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
Time-Lapse Petro-Elastic and Seismic Modeling to Evaluate Fracturing Efficiency in Low-Permeability Reservoirs
Masoud Alfi, Zhi Chai, Anshuman Pradhan, Travis Ramsay, Maria Barrufet, John Killough
Unconventional Resources Technology Conference (URTEC)
... inputs, normal incidence seismic traces are forward-modeled through the convolutional model shown in Eq. 10. A zero-phase Ricker wavelet with a central...
2018
Recursive DIP for seismic random noise attenuation
Yun Zhang, Benfeng Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
..., filtering-based methods and time-frequency transform/sparse transformbased methods. These conventional denoising methods have achieved good results...
2022
Analysis of the Elastic Impedance Inversion and Lamda Mu Rho to Identify the Distribution of Sandstone Reservoirs and Hydrocarbon Fluids in the Jogging Field, Northwest Java Basin
Akbar Dwi Wahyono, Mualimin, Sudarmaji
Indonesian Petroleum Association
...(t) in terms of expansion : k K r t xt k ø k t k 1 where x(t) is the segment of the input trace that follows the convolutional model...
2015
Explainable machine learning for hydrocarbon prospect risking
Ahmad Mustafa, Ghassan AlRegib
International Meeting for Applied Geoscience and Energy (IMAGE)
... limited thus far owing to a lack of transparency in the way complicated, black box models generate decisions. We demonstrate how LIME—a model-agnostic...
2022
Abstract: Recognizing facies in the Red River Formation of North Dakota using a Convolutional Neural Network; #90301 (2017)
Stephan H. Nordeng, Ian E. Nordeng, Jeremiah Neubert, Emily G. Sundell
Search and Discovery.com
...Abstract: Recognizing facies in the Red River Formation of North Dakota using a Convolutional Neural Network; #90301 (2017) Stephan H. Nordeng, Ian E...
2017
Abstract: Object Detection in SEM Images Using Convolutional Neural Networks: Application on Pyrite Framboid Size-Distribution in Fine-Grained Sediments;
Artur Davletshin, Lucy Tingwei Ko, Kitty Milliken, Priyanka Periwal, Wen Song
Search and Discovery.com
...Abstract: Object Detection in SEM Images Using Convolutional Neural Networks: Application on Pyrite Framboid Size-Distribution in Fine-Grained...
Unknown
Artificial Intelligence Integration for Optimal Reservoir Data Analysis and Pattern Recognition
Dr. Leon Hamilton, Dr. Marianne Rauch
Unconventional Resources Technology Conference (URTEC)
.... E., & Shi, Y. (2023). Time-domain elastic full waveform inversion with frequency normalization. IEEE Transactions on Geoscience and Remote Sensing, 61...
2024
Transfer Learning with Multiple Aggregated Source Models in Unconventional Reservoirs
J. Cornelio, S. Mohd Razak, Y. Cho, H-H. Liu, R. Vaidya, B. Jafarpour
Unconventional Resources Technology Conference (URTEC)
... Oilfield in the Middle East. Society of Petroleum Engineers. Mohd Razak S, Jafarpour B. (2020a) Convolutional neural networks (CNN) for feature-based model...
2022