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The AAPG/Datapages Combined Publications Database
Showing 624 Results. Searched 200,685 documents.
Diagenesis and pore pressure induced dim spots Advances on AVO analysis of high-impedance reservoirs
Antonio Pessoa, Mark Chapman, Giorgos Papageorgiou
International Meeting for Applied Geoscience and Energy (IMAGE)
... stress scenario. Pressure-dependent AVO Analysis Seismic and Well Data Interpretation To conduct this AVO analysis, we assume a convolutional model...
2024
Estimating CO2 saturation and porosity using the double difference approach based invertible neural network
Arnab Dhara, Mrinal K. Sen, Sohini Dasgupta
International Meeting for Applied Geoscience and Energy (IMAGE)
... posterior pdfs of model parameters to those obtained using Markov Chain Monte Carlo methods at significantly less computational time. We use two...
2023
A Physics-Guided Deep Learning Predictive Model for Robust Production Forecasting and Diagnostics in Unconventional Wells
Syamil Mohd Razak, Jodel Cornelio, Young Cho, Hui-Hai Liu, Ravimadhav Vaidya, Behnam Jafarpour
Unconventional Resources Technology Conference (URTEC)
... data set and do not offer the opportunity to incorporate domain constraints. In data-driven modeling, a trained model extracts salient features from...
2021
How Machine Learning is Helping Seismic Structural Interpreters in The Age of Big Data
Çağil Karakaş, James Kiely
GEO ExPro Magazine
... is a very time-consuming task, often leading to a simplified fault model, a geology-driven, machine-learning workflow can significantly improve...
2021
An approach for three-dimensional quantitative carbonate reservoir characterization in the Pampo field, Campos Basin, offshore Brazil
Danilo Jotta Ariza Ferreira, and Wagner Moreira Lupinacci
AAPG Bulletin
... can use the convolutional model of the seismic trace-in-time domain,where s(t), r(t), ω(t), and n(t) represent, respectively, the seismic trace...
2018
Application of Deep Learning for Methane Emissions Quantification and Uncertainty Reduction from Spectrometer Images
Ismot Jahan, Mohamed Mehana, Hari Viswanathan
Unconventional Resources Technology Conference (URTEC)
... oil and gas fields in the fields of Texas, California and New Mexico. Methods: We trained a convolutional neural network (CNN) using Large Eddy...
2024
A case study of generating synthetic seismic from simulation to validate reservoir models
Dhananjay Kumar, Jing Zhang, Robert Chrisman, Nayyer Islam, Matt Le Good
International Meeting for Applied Geoscience and Energy (IMAGE)
... a velocity model. Once the elastic model is in the time domain, we used the convolutional method to simulate synthetic seismic. The seismic response (EEI10...
2022
Abstract: Correlation of P-P and P-S Data in Yinggehai Basin, South China Sea; #90171 (2013)
Jinfeng Ma, Le Gao, and Igor Morozov
Search and Discovery.com
... for making P-S offset synthetic seismograms using convolutional model was proposed by Stewart (1991). In the weak contrast of the boundary, P-S wave...
2013
Application of Artificial Intelligence Tools for Fault Imaging in an Unconventional Reservoir: A Case Study from the Permian Basin
H. Garcia, L. Plant
Unconventional Resources Technology Conference (URTEC)
... and applied several of the more established techniques: data conditioning and frequency decomposition to push the resolution of the seismic data. Noise...
2021
Application of Artificial Intelligence for Depositional Facies Recognition - Permian Basin
Randall Miller, Skip Rhodes, Deepak Khosla, Fernando Nino
Unconventional Resources Technology Conference (URTEC)
... in the Permian Basin. Training sets of core facies were selected by a sedimentologist. A model was built using a convolutional neural network...
2019
Accelerate Well Correlation with Deep Learning; #42429 (2019)
Bo Zhang, Yuming Liu, Xinmao Zhou, Zhaohui Xu
Search and Discovery.com
... patterns (such as upward fining and coarsening) in neighboring wells and links them using a conscious or subconscious stratigraphic sequence model...
2019
Interactive 3D fault prediction using a weighted 2D-CNN and multidirectional 3D-CNN
Jesse Lomask, Samuel Chambers
International Meeting for Applied Geoscience and Energy (IMAGE)
... using a weighted 2D-CNN and multi-directional 3D-CNN Jesse Lomask* and Samuel Chambers, S&P Global Summary We present an interactive 2D Convolutional...
2022
Abstract: Predicting the Distribution of Subsurface Sedimentary Facies Using Deep Convolutional Progressive Generative Adversarial Network (Progressive GAN);
Suihong Song, Tapan Mukerji, Jiagen Hou
Search and Discovery.com
...Abstract: Predicting the Distribution of Subsurface Sedimentary Facies Using Deep Convolutional Progressive Generative Adversarial Network...
Unknown
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
Deep learning-based joint inversion of time-lapse surface gravity and seismic data for monitoring of 3D CO2 plumes
Adrian Celaya, Mauricio Araya-Polo
International Meeting for Applied Geoscience and Energy (IMAGE)
... that measures the difference between the forward response of a given subsurface model and the observed data when the subsurface is directly stimulated...
2024
Deep learning-based 3D microseismic event direct location using simultaneous surface and borehole data: An application to the Utah FORGE site
Yuanyuan Yang, Omar M. Saad, Tariq Alkhalifah
International Meeting for Applied Geoscience and Energy (IMAGE)
... Hydraulic Fracturing Technology Conference and Exhibition, OnePetro. Mesimeri, M., K. L. Pankow, and J. Rutledge, 2021, A frequency domain based...
2024
An Introduction to Deep Learning: Part II
Lasse Amundsen, Hongbo Zhou, Martin Landrø
GEO ExPro Magazine
... often the model fails to predict the correct answer in their top five guesses (the top-5 error rate), in descending order of confidence. ILSVRC 2012...
2017
Abstracts: The Reflectivity Response of Multiple Fractures and its Implications for Azimuthal AVO Inversion; #90173 (2015)
Olivia Collet, Benjamin Roure, Jon Downton
Search and Discovery.com
... studying various rock physics models in order to model the impact of multiple fractures on the elastic parameters of an isotropic medium. Then, we...
2015
Joint Identification of Lithology and Lithofacies in Core Images Based on Deep Learning
Han Wang, Feifei Gou, Hanqing Wang, Shengjuan Cai
Unconventional Resources Technology Conference (URTEC)
... the lithology identification model. Two lithofacies recognition models are trained for different lithology types. For a core image, the lithology is first...
2025
Boulder prediction for offshore windfarm site evaluation using an interactive 2D CNN and a unique weighting scheme on unmigrated seismic
Samuel Chambers, Jesse Lomask
International Meeting for Applied Geoscience and Energy (IMAGE)
.... This gives the model a basic understanding of what to look for, and how to create the segmented output. The basic convolutional synthetic data was created...
2023
Machine learning applications to seismic structural interpretation: Philosophy, progress, pitfalls, and potential
Kellen L. Gunderson, Zhao Zhang, Barton Payne, Shuxing Cheng, Ziyu Jiang, and Atlas Wang
AAPG Bulletin
... geometric invariance-enforced deep learning based on the Mask region-based convolutional neural network (R-CNN) model. Mask R-CNN is a deep learning model...
2022
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
Fracture Diagnostics in Naturally Fractured Formations: An Efficient Geomechanical Microseismic Inversion Model
Meng Cao, Mukul M. Sharma
Unconventional Resources Technology Conference (URTEC)
...Fracture Diagnostics in Naturally Fractured Formations: An Efficient Geomechanical Microseismic Inversion Model Meng Cao, Mukul M. Sharma URTeC...
2022
Deep learning-based raster digitization engine
Atul Laxman Katole, Purnaprajna Mangsuli, Omkar Gune, Mohd Saood Shakeel, Abhiman Neelakanteswara, Aria Abubakar
International Meeting for Applied Geoscience and Energy (IMAGE)
... model encountered by the scanned raster images during the digitization process. A semantic segmentation model based on cGAN (Isola et al., 2017...
2022
Supervised vs unsupervised deep learning for time-lapse seismic repeatability enforcement
Son Phan, Wenyi Hu, Aria Abubakar
International Meeting for Applied Geoscience and Energy (IMAGE)
.... Unfortunately, due to the non-stationarity of seismic data, the high-frequency content is filtered out during wave propagation through absorptive...
2024