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The AAPG/Datapages Combined Publications Database
Showing 621 Results. Searched 200,293 documents.
A Siamese network-based full-wave inversion: Application on real data
Omar M. Saad, Randy Harsuko, Tariq Alkhalifah
International Meeting for Applied Geoscience and Energy (IMAGE)
... model, seriously extends the inversion time by sixfold, while yielding comparable FWI performance. Field data example We assess the efficacy...
2024
Abstract: Deterministic Marine Deghosting: Tutorial and Recent Advances; #90224 (2015)
Mike J. Perz and Hassan Masoomzadeh
Search and Discovery.com
..., FOCUS - Adapt, Refine, Sustain Calgary, Alberta, Canada, May 12-16, 2014 Figure 1: Synthetic source side ghost at normal incidence. Time domain...
2015
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
Deep nonlinear seismic prior for seismic interpolation
Yuhan Sui, Xiaojing Wang, Jianwei Ma
International Meeting for Applied Geoscience and Energy (IMAGE)
... show their powerful performance on seismic interpolation using a convolutional neural network. Recently, an unsupervised deep seismic prior method...
2023
Application of Both Physics-Based and Data-Driven Techniques for Real-Time Screen-Out Prediction with High Frequency Data
Jianlei John Sun, Arvind Battula, Brandon Hruby, Paymon Hossaini
Unconventional Resources Technology Conference (URTEC)
... (i.e., Inverse Slope Method) to provide advanced warning of screen-outs in real-time. With domain knowledge, 65 screen-out stages in the Niobrara-DJ...
2020
High-Resolution DFN Modeling via Seismic Attribute Integration in the Sichuan Basin for Completion Optimization
Xuefeng Yang, Shengxian Zhao, Dongchen Liu, Deliang Zhang, Lieyan Cao, Joseph Leines Artieda, Chuxi Liu, Wei Yu, Jijun Miao
Unconventional Resources Technology Conference (URTEC)
... The computational time to run the model shows that generating a high-resolution model is possible. When dissecting the total computational time, we observed...
2025
Transfer Learning Applied to Seismic Images Classification; #42285 (2018)
Daniel Chevitarese, Daniela Szwarcman, Reinaldo Mozart D. Silva, Emilio Vital Brazil
Search and Discovery.com
... point to adjust model's parameters. A poor initialization may lead to longer training sessions or to the inability of finding a solution. To address...
2018
Advanced digital tools for passive seismic monitoring of a heavy oil field at Cold Lake, Alberta, Canada
Adarsh Kumar Gupta, Stefano Scaini, Ravi Singh, Simona Costin, Colin Brisco, Raj Janakkumar Bhutwala, Shelly Dutta, Monomita Chattopadhyay, Divyanshu Yadav, Taylor Fink
International Meeting for Applied Geoscience and Energy (IMAGE)
... utilizes features from the time series and the frequency domain. The developed HYE model utilizes the random forest method and hyperparameter tuning...
2024
Bringing ML models into mainstream applications by enabling cloud platform connections
Rafael Pinto, Ilya Agurov, Roman Emreis, Iurii Koniaev-Gurchenko, Dmitrii Zolotukhin, Viktar Huleu, Evgeny Shulikin, Andrey Derevyanka, Pavel Shashkin, Maksim Krug, Ivan Grechikhin, Anton Petrov, Simon Shaw, Brian Macy, Chengbo Li, Chuck Mosher, Anand Malgi
International Meeting for Applied Geoscience and Energy (IMAGE)
...) to calculate the zero-offset reflectivity. Then, we converted the result to the time domain using the P-wave velocity model and applied an antialias...
2022
Integration of deep neural networks into seismic workflows for low-carbon energy
Biondo Biondi, Joseph Jennings, Min Jun Park, Stuart Farris, Bob Clapp
International Meeting for Applied Geoscience and Energy (IMAGE)
... characterization and monitoring. In this presentation we will show examples of convolutional neural networks applied to early waring in CCS projects and cost...
2022
Estimating soil strength using ultra high-resolution seismic and geological unit
Donglin Zhu, Ge Jin, Yi Shen, Xuefeng Shang, Shuang Hu, Jinbo Chen, Vanessa Goh
International Meeting for Applied Geoscience and Energy (IMAGE)
...-to-sequence framework that predicts the corresponding CPT curve using 1D seismic traces. Given that UHRS data is time-domain based and CPT data...
2024
Improved UCR Development Decision Through Probabilistic Modeling with Convolutional Neural Network
Han Young Park, Yunhui Tan, Baosheng Liang, Yuguang Chen
Unconventional Resources Technology Conference (URTEC)
...Improved UCR Development Decision Through Probabilistic Modeling with Convolutional Neural Network Han Young Park, Yunhui Tan, Baosheng Liang...
2022
Anti-aliasing seismic data interpolation by dip-informed self-supervised learning
Shirui Wang, Xuqing Wu, Jiefu Chen
International Meeting for Applied Geoscience and Energy (IMAGE)
... an event of angle α is marked. (b) A traditional (3 × 3) convolutional kernel. (c) A deformed (3 × 3) convolutional kernel offset along the event...
2023
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)
... of the 2D Marmousi model. As shown in Figure 3a, it has 256 traces with 768 time samples and 8-ms time interval per trace. Figure 3b shows...
2022
Fast viscoacoustic forward modeling method based on U-net Fourier neural operator
Wenbin Tian, Yang Liu
International Meeting for Applied Geoscience and Energy (IMAGE)
... variations within the data. On the other hand, the wavenumber-domain CNN operates as a trainable wavenumber filter, enabling nonlocal spatial convolutional...
2023
Self-parametrizing seismic data processing modules: An example on coherent noise suppression
Simone Re, Ran Bachrach, Massimo Clementi, Collin Wilson
International Meeting for Applied Geoscience and Energy (IMAGE)
... in the frequencywavenumber (FK) domain. In the FK spectrum, the useful signal and the noise are grouped in different regions and, subsequently, they can then be partially...
2024
Abstract: Horizontal Stress Prediction Using Seismic Velocities Based on Convolutional Neural Network; #91206 (2023)
Fatemeh Saberi, Esmael Makarian, Ayub Elyasi, Tomomewo Stanley Olusegun
Search and Discovery.com
...Abstract: Horizontal Stress Prediction Using Seismic Velocities Based on Convolutional Neural Network; #91206 (2023) Fatemeh Saberi, Esmael Makarian...
2023
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)
... are at the upper surface. The recording time is 4 s with a 1.0 ms time sampling increment. Dataset 1: Synthetic tests on the Sigsbee elastic model The first...
2024
Abstract: Utilizing Seismic Attributes for Machine Assisted Fault Detection and Extraction; #91204 (2023)
Muhammad Khan, Yasir Bashir, Saleh Dossary, Syed Ali
Search and Discovery.com
... labelled data as transfer learning to update the foundation Convolutional Neural Network (CNN) model that was initially trained on synthetic data...
2023
Innovative Deep Autoencoder and Machine Learning Algorithms Applied in Production Metering for Sucker-Rod Pumping Wells
Peng Yi, Xiong Chunming, Zhang Jianjun, Zhang Yashun, Gan Qinming, Xu Guojian, Zhang Xishun, Zhao Ruidong, Shi Junfeng, Liu Meng, Wang Cai, Chen Guanhong
Unconventional Resources Technology Conference (URTEC)
... dynamometer cards are used as parts of inputs to further real-time production prediction model, which eliminate the disadvantage of conventional hand-crafted...
2019
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
This thin section doesnt exist: On the generation of synthetic petrographic datasets
Ivan Ferreira, Luis Ochoa, Ardiansyah Koeshidayatullah
International Meeting for Applied Geoscience and Energy (IMAGE)
... as a training set for a convolutional neural network in an image classification task. In the future, this approach could be used to mitigate a time-consuming...
2022
APPLICATION OF MACHINE LEARNING IN COORDINATION NUMBER ESTIMATION FOR RESERVOIR ROCK EXTRACTION
Dinanti Syafirani Zahra, Maharani Arisandy, Shafa Maura Fidela, Aldenia Alexandra, and Irwan Ary Dharmawan
Indonesian Petroleum Association
..., relying on experimental data or manual image analysis. This study explores a machine learning approach using a custom- developed Convolutional Neural...
2025
Seismic data interpolation via frequency-constrained 3D inception Unet
Yen Sun, Paul Williamson
International Meeting for Applied Geoscience and Energy (IMAGE)
... time to frequency domain where the second label is added during the supervised learning process. The loss function is the weighted sum of the mean...
2022
Deep learning approach for denoising and resolution enhancement of poststack seismic data
Ruslan Malikov, Tatyana Yusubova, Izat Shahsenov
International Meeting for Applied Geoscience and Energy (IMAGE)
... the potential to significantly improve the precision and reliability of seismic exploration techniques within the geophysical domain. Introduction...
2024