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The AAPG/Datapages Combined Publications Database
Showing 624 Results. Searched 200,673 documents.
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
OpenFWI 2.0: Benchmark Datasets for Elastic Full-waveform Inversion
Shihang Feng, Hanchen Wang, Chengyuan Deng, Yinan Feng, Min Zhu, Peng Jin, Yinpeng Chen, Youzuo Lin
International Meeting for Applied Geoscience and Energy (IMAGE)
... into the inversion significantly expands the model space and introduces increased degrees of freedom, resulting in even more pronounced nonlinearity (Operto et...
2023
A denoising diffusion probabilistic modeling (DDPM) approach for predicting CO2 plume evolution from seismic shot gathers
Alexander Y. Sun, Zi Xian Leong, Tieyuan Zhu
International Meeting for Applied Geoscience and Energy (IMAGE)
... variational autoencoder and GAN, DDPM is likelihood based. Thus, a trained DDPM model can be used to sample the marginal distributions of target domain...
2023
Convolutional Neural Networks Forecasting for Unconventional Drilling Units in US Land
Francisco J. Parga Garcia, Jie Fang, Niven Shumaker
Unconventional Resources Technology Conference (URTEC)
...Convolutional Neural Networks Forecasting for Unconventional Drilling Units in US Land Francisco J. Parga Garcia, Jie Fang, Niven Shumaker URTeC...
2024
An Overview of Reservoir Seismic Stratigraphy, Frontmatter
Tom Wittick
North Texas Geological Society
... Acoustic impedance Reflection coefficients Wavelets The convolutional model III. Preparation of seismic data for stratigraphic work Data...
1992
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
Deep learning to maximize the value of fast-track 4D seismic processing
Arnab Dhara, Haron Abdel-Raziq, Denis Kiyashchenko, Asiya Kudarova, Janaki Vamaraju, Albena Mateeva, Pandu Devarakota, Kanglin Wang, Jorge Lopez
International Meeting for Applied Geoscience and Energy (IMAGE)
... signals requires beating the noise, which may increase the timeline further. This paper leverages deep convolutional neural networks (CNN) to reduce...
2022
Volumetric supervised contrastive learning for seismic semantic segmentation
Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib
International Meeting for Applied Geoscience and Energy (IMAGE)
... are based on assumptions from the domain of natural images that do not make use of seismic context. In order to incorporate this context within contrastive...
2022
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
Subsurface hydrogen storage: A feasibility study
Dwaipayan Chakraborty, Subhashis Mallick, Mortezaa Dejam
International Meeting for Applied Geoscience and Energy (IMAGE)
... models. The original model before H2 replacement is in cyan, the model after replacement is in black and the inverted model is in red. (b) observed...
2024
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
A robust approach for shear log predictions using deep learning on big data sets from a carbonate reservoir for integrated reservoir characterization projects
Aun Al Ghaithi
International Meeting for Applied Geoscience and Energy (IMAGE)
... reservoir. The trained model was then used to predict shear logs in wells drilled previously without acquired shear log data. Deep learning provided added...
2022
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
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
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
Backscatter analysis of vehicle-generated noise using symmetric autoencoders
Sanket Bajad, Pawan Bharadwaj
International Meeting for Applied Geoscience and Energy (IMAGE)
... among the CCNs within Xr ? To understand this, we assume a convolutional model with a point noise source. We write each CCN as a discrete convolution...
2024
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
An automatic velocity picking method based on object detection
Ce Bian, Weifeng Geng, Ping Yang, Pengyuan Sun, Guiren Xue, Haikun Lin
International Meeting for Applied Geoscience and Energy (IMAGE)
... an automatic velocity spectrum picking method based on object detection, and applies neural network model named FCOS (Fully Convolutional OneStage Object...
2022