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The AAPG/Datapages Combined Publications Database
Showing 624 Results. Searched 200,673 documents.
Enhancing seismic image resolution using Brownian diffusion bridge model
Bingbing Sun, Abdulmoshen M. Ali, Tariq Alkhalifah
International Meeting for Applied Geoscience and Energy (IMAGE)
...Enhancing seismic image resolution using Brownian diffusion bridge model Bingbing Sun, Abdulmoshen M. Ali, Tariq Alkhalifah Enhancing seismic image...
2024
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)
... (or occurrence frequency) of different facies (ni ) in the new facies distribution: wbalance = i max(n0 , n1 , n2 , n3 , n4 ) , (i = 0, 1, 2, 3, 4...
2022
A hybrid machine learning model for improving regression of mineral composition estimation using well logging data
Xiaojun Liu, Kezhen Hu, Stephen E. Grasby, Benjamin Lee
International Meeting for Applied Geoscience and Energy (IMAGE)
... classification problems. This ConvXGB architecture consists of a network with several stacked convolutional layers and XGBoost as the last layer of the model...
2024
An integrated workflow for deep learning-accelerated seismic modelling of the Groningen gas field, the Netherlands
Haibin Di, Vanessa Simoes, Zhun Li, Cen Li, Anisha Kaul, Aria Abubakar
International Meeting for Applied Geoscience and Energy (IMAGE)
... for their model building. In this paper, we propose accelerating the process of seismic modeling on the Groningen gas field in the Netherlands by integrating...
2022
Abstract: Machine Learning and Deep Learning in Oil and Gas Industry: A Review Ofapplications, Opportunities and Challenges; #91204 (2023)
Tejas Balasaheb Sabale, Syed Aaquib Hussain, Mohd Zuhair, Mohammad Saud Afzal, Arnab Ghosh
Search and Discovery.com
... algorithms to predict the outcome correctly [17]. The model is initialized with control parameters and then the input data is fed into the model...
2023
Interbed Multiple Suppression in Carbonate Sequences
Gabriel Gil
Unconventional Resources Technology Conference (URTEC)
... transform. The presented workflow shows a model-based approach to predict and suppress the presence of interbed multiples from migrated pre-stack data...
2025
Predicting horizons for salt body models using machine learning from neighboring seismic surveys: A case study from the northern Gulf of Mexico
Andrew Reisdorf, Dan Ferdinand Fernandez, Hugo Enrique Munoz Cuenca, Ryan King, David Manzano, Gavin Menzel-Jones
International Meeting for Applied Geoscience and Energy (IMAGE)
... and manual effort are required to provide horizons that are input into the earth model building process. The quality of these horizons determines...
2022
Kutei Basin: Feasibility Study of a Broadband Acquisition
Gilbert Del Molino, Fabri Ikhlas Gumulya, Dedy Sulistiyo Purnomo, Paolo Battini, Bonita Nurdiana Ersan, Francesca Brega, Ferdinando Rizzo, Giorgio Cavanna, Buia Michele
Indonesian Petroleum Association
... conventional and broadband synthetic elastic inversions, the frequency bandwidth of prior model to be included in order to obtain optimal results appeared...
2013
Generative modeling for inverse problems
Rami Nammour
International Meeting for Applied Geoscience and Energy (IMAGE)
... of the model (the domain) of the IP renders global optimization methods feasible, circumventing nonconvexity. The decimation of the data (the range) of the IP...
2022
Machine-learning Facilitates Prediction of Geomechanical Properties Directly From SEM Images in Unconventional Plays
Heehwan Yang, Deepak Devegowda, Mark Curtis, Chandra Rai
Unconventional Resources Technology Conference (URTEC)
... of the multi-mineral domain for mechanical properties. While this has shown promising results in the past, there is a high degree of subjectivity...
2023
Demultiple of High Resolution P-Cable Data in the Norwegian Barents Sea An Iterative Approach
A.J. Hardwick, S. Jansen, B. Kjolhamar
Petroleum Exploration Society of Australia (PESA)
... from the latest The final adapted model is then subtracted in the curvelet n. A data driven, iterative approach is domain. For the first time, through...
2017
Multiscale fault and fracture characterization methods
QiQi Ma, Taizhong Duan
International Meeting for Applied Geoscience and Energy (IMAGE)
... no obvious fault throw, and often shows high frequency, disorderly reflection, and some fractures also show weak seismic reflections. Normally, pre-stack...
2022
Introduction to Special Issue: Geoscience Data Analytics and Machine Learning
Michael J. Pyrcz
AAPG Bulletin
... complicated, multivariate, spatiotemporal subsurface systems, and in predictive mode, to make predictions for cases not used to train the model...
2022
Geophysics and neural networks: learning from computer vision
Mark Grujic, Liam Webb, Tom Carmichael
Petroleum Exploration Society of Australia (PESA)
... the ResNet-50 convolutional neural network to the GGMplus regional gravity model of Australia. This results in the quantitative characterisation of geophysical...
2019
Acoustic and Elastic Modeling of Seismic Time-Lapse Data from the Sleipner CO2 Storage Operation
R. J. Arts, M. Trani, R. A. Chadwick, O. Eiken, S. Dortland, L. G. H. van der Meer
AAPG Special Volumes
... (being essentially one-dimensional), which enables many model scenarios to be investigated. Acoustic seismic modeling of stacked migrated data has...
2009
Abstract: Next-Gen Geological Modeling Driven by Machine Learning; #91213 (2025)
Manish Kumar Singh
Search and Discovery.com
... focuses on seismic interpretation using convolutional neural networks. Manually interpreted seismic lines serve as training data, allowing the model...
2025
Precursory Detection of Casing Deformation and Induced Seismicity in Unconventional Reservoirs, via Real-Time Surface Pressure Data Analytics
Thomas de Boer, Matthew Adams, Andrew McMurray, Giovanni Grasselli
Unconventional Resources Technology Conference (URTEC)
... frequency-domain techniques. This paper introduces a newly developed signal decomposition and machine learning framework capable of transforming raw...
2025
Unlocking hidden potential in shallow water Gulf of Mexico legacy data for carbon capture and storage exploration
Rachel Collings, Igor Marino, Adriana Arroyo Acosta, Jack Kinkead, Hugo Medel, Trong Tang, Gabriela Suarez, Brett Sellers
International Meeting for Applied Geoscience and Energy (IMAGE)
... deployed a comprehensive wavelet processing workflow. To obtain a high-resolution velocity model, a seismic inversion workflow was implemented...
2024
Facies-induced bias in machine learning-enhanced seismic lithology (inversion)
Hongliu Zeng, Bo Zhang, Mariana Olariu
International Meeting for Applied Geoscience and Energy (IMAGE)
... tests on the subject. A geologically realistic model is used to quantitively demonstrate the methods to reduce the bias. A field-data test...
2022
CO2 Plume Imaging with Accelerated Deep Learning-based Data Assimilation Using Distributed Pressure and Temperature Measurements at the Illinois Basin-Decatur Carbon Sequestration Project
Takuto Sakai, Masahiro Nagao, Chin Hsiang Chan, Akhil Datta-Gupta
Carbon Capture, Utilization and Storage (CCUS)
... by proposing an accelerated deep learning-based workflow for model calibration and prediction of CO2 plume evolution in the reservoir. In the proposed...
2024
Abstract: Innovative QCs for More Effective 4D Processing; #90187 (2014)
Cyril Saint Andre, Benoit Blanco, Christian Hubans, and Benoit Paternoster
Search and Discovery.com
... problem in the framework of the 1D convolutional model. This attribute and the following developments were initially detailed by Cantillo (2012) [3...
2014
Intelligent Prediction of Shale Oil Fracturing Curves Based on A Sequence-to-Sequence Model
Leyi Zheng, Tianbo Liang, Yunjin Wang, Fujian Zhou, Junlin Wu, Bin Wang, Jiaming Zhang, Maoqin Yang, Gong Chen, Xingyuan Liang
Unconventional Resources Technology Conference (URTEC)
... of critical events during fracturing. A novel sequence-tosequence prediction model (TCN-LSTM) is proposed that integrates a temporal convolutional...
2025
Rapid Play Evaluation through AI Interpretation
Jacob Smith, Peter Szafian
Australian Petroleum Production & Exploration Association (APPEA) Journal
... identifying faults, we must focus on how to transfer this complexity into a useful interpretation and then into our static model. In these examples we can...
2023
InvMixer An efficient deep neural network for seismic inversion
Tianyi Zhang, Mauricio Araya-Polo, Anshumali Shrivastava
International Meeting for Applied Geoscience and Energy (IMAGE)
... layers in UNet use learnable kernels with of size 3×3 or 5×5 to model the relationships between traces. Since a single convolutional layer has limited...
2023
Uncertainty quantification of single and multi-parameter full-waveform inversion through a variational autoencoder
Abdelrahman Elmeliegy, Mrinal Sen, Jennifer Harding, Hongkyu Yoon
International Meeting for Applied Geoscience and Energy (IMAGE)
.... The input to the network is seismic shot gathers and the output are samples (distribution) of model parameters. We then use these samples to estimate...
2024