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The AAPG/Datapages Combined Publications Database
Showing 621 Results. Searched 200,293 documents.
What samples must seismic interpreters label for efficient machine learning?
Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib
International Meeting for Applied Geoscience and Energy (IMAGE)
... resources AlRegib et al. (2018). At the core of successful machine learning algorithms, stands the mathematical model representation of data points...
2023
Predicting Facies, Rock, and Geomechanical Properties Using Convolutional Neural Networks: A Case Study From an Unconventional Shale Reservoir
Ted Holden, Ruth Kurian, Mohammed Ibrahim, Daniel Hampson, Jonathan Downton
Unconventional Resources Technology Conference (URTEC)
...) Synthetic angle gathers are then generated for each pseudo-well using a convolutional model in which the P-wave reflection coefficients calculated using...
2023
Bi-directional LSTM-based non-causal deconvolution
G. Roncoroni, I. Deiana, E. Forte, M. Pipan
International Meeting for Applied Geoscience and Energy (IMAGE)
.... This varying range of frequency in the input dataset gives us the ability to deal with different frequencies. Our training approach utilizes a convolutional...
2024
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)
... high-frequency seismic components become entwined with their low-frequency counterparts, creating artifacts that hinder subsequent processing...
2023
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
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)
... frequency, and the thin thickness and strong heterogeneity of dolomite reservoir, high-resolution imaging and fine prediction of thin reservoir...
2024
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
4D Finite Difference Forward Modeling within a Redefined Closed-Loop Seismic Reservoir Monitoring Workflow, #41922 (2016).
David Hill, Dominic Lowden, Sonika, Chris Koeninger
Search and Discovery.com
...-field coupled dynamic integrated earth model to surface. From which 3D grids of petro-elastic parameters for a range of reservoir simulations...
2016
Implementation of frequency-dependent fault identification by convolutional neural networks with uncertainty analysis
Fan Jiang, Alejandro Jaramillo, Steve Angelovich, Phill Norlund, Julianna Toms
International Meeting for Applied Geoscience and Energy (IMAGE)
...Implementation of frequency-dependent fault identification by convolutional neural networks with uncertainty analysis Fan Jiang, Alejandro Jaramillo...
2022
Seismic Forward Modeling of Semberah Fluvio-Deltaic Reservoir
Adi Widyantoro, Wahyu Dwijo Santoso
Indonesian Petroleum Association
..., or a convolutional process between the seismic waveform and a Gaussian function, has been applied to the rotated seismic lines in order to reduce high-frequency...
2021
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 complex field conditions and economic circumstance, seismic data is usually undersampled in the spatial domain, which needs to be interpolated to meet...
2022
Development and Application of a Real-Time Drilling State Classification Algorithm with Machine Learning
Yuxing Ben, Chris James, Dingzhou Cao
Unconventional Resources Technology Conference (URTEC)
... drilling analytics system is automatic rig state detection. High frequency time series data (typically one data point per second) from multiple sensors...
2019
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
Deterministic and Statistical Wavelet Processing
Lee Lu
Southeast Asia Petroleum Exploration Society (SEAPEX)
... on the convolutional model for a seismic trace: it is assumed that an observed trace, x, is the convolution of an “effective wavelet”, w, with an “effective reflectivity...
1980
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)
... image databases such as ImageNet, there are few geologically diverse, public 3D field seismic databases of similar scale in post-stack domain for model...
2024
Abstract: 3-D Volumetric Interpretation with Computational Stratigraphy Models
Lisa Goggin, Tao Sun, Maisha Amaru, Ashley Harris, Anne Dutranois, Andrew Madof
Houston Geological Society Bulletin
... of a fluvially-dominated delta was created. The depositional model is converted into seismic volumes of various frequencies (1D convolutional approach...
2017
Seismic inversion with implicit neural representations
Juan Romero, Wolfgang Heidrich, Nick Luiken, Matteo Ravasi
International Meeting for Applied Geoscience and Energy (IMAGE)
... be mathematically represented via the socalled convolutional model (Goupillaud, 1961). This entails the convolution of a source function or wavelet w...
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
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., screen-out) using domain expert knowledge and three-segment curve fitting. Modified Inverse Slope Model In order to address the issues mentioned...
2020
Increasing The Resolution of Seismic Imaging With Spectral Blueing, Spectral Decomposition RGB And HSV Blending to Delineate The Fluvial Facies on Fluvio Deltaic Environment
Aji Darma Maulana, Nine Safira, Ongki Ari Prayoga, Egie Wijaksono, Alit Ascaria
Indonesian Petroleum Association
... surveys (Partyka et al., 1999). Spectral decomposition is carried out by converting seismic data into the frequency domain using time-frequency...
2022
Survey merging using CycleGAN and patchy seismic images
Chaoshun Hu, Fan Jiang, Konstantin Osypov, Julianna Toms
International Meeting for Applied Geoscience and Energy (IMAGE)
... frequency and high frequency domains. When there are paired images, CycleGAN will be simplified to be a U-net model where the loss function is using...
2023
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
Realistic synthetic data generation using neural style transfer: Application to automatic fault interpretation
Min Jun Park, Joseph Jennings, Bob Clapp, Biondo Biondi
International Meeting for Applied Geoscience and Energy (IMAGE)
... suitable to be used as training images than the original synthetic images. To verify the effectiveness of our workflow, we train a model on the synthetic...
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
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)
... two identical Convolutional Neural Networks (CNNs) with shared weights to ensure consistent feature extraction from observed and simulated data...
2024