Multi-realization seismic data processing with deep variational preconditioners

Matteo Ravasi

International Meeting for Applied Geoscience and Energy (IMAGE)

... of neural networks using large learning rates: arXiv preprint, doi: https://doi .org/10.48550/arXiv.1708.07120. van der Neut, J., and F. J. Herrmann...

Pressure prediction using converted shear waves from OBN data: A rock physics approach

Prajnajyoti Mazumdar, Kevin Searles, Bjorn Olofsson, James Gaiser, Terence Krishnasami

International Meeting for Applied Geoscience and Energy (IMAGE)

.../10.1190/image2022-3750679.1. Downton, J. E., and D. P. Hampson, 2018, Deep neural networks to predict reservoir properties from seismic: Presented...

Estimating subsurface geostatistical parameters from surface-based GPR reflection data using a deep-learning approach

Yu Liu, James Irving, Klaus Holliger

International Meeting for Applied Geoscience and Energy (IMAGE)

... deep learning, where convolutional neural networks (CNN) have proven to be particularly effective (e.g., LeCun et al., 2015). While deep-learning...

Enhancing seismic delineation of obscured geologic architectural elements in a deepwater channel complex through multi-attribute analysis: A study from the Taranaki Basin

April Moreno-Ward, Heather Bedle, Alexandro Vera-Arroyo

International Meeting for Applied Geoscience and Energy (IMAGE)

..., A., and E. Oja, 2000, Independent component analysis: Algorithms and applications: Neural Networks, 13, 411–430, doi: https://doi.org/ 10.1016/S0893-6080...

Research on first break picking based on deep learning for DAS-VSP data

Naijian Wang, Yinpo Xu, Yuxin Hou, Yingjie Pan, Mingxing Wang, Chun Zhang, Tianfu Yang

International Meeting for Applied Geoscience and Energy (IMAGE)

...rst break picking and meet later processing requirements, this study uses convolutional neural networks (CNN) to identify the initial picking resu...

Application of Data Analytics for Production Optimization in Unconventional Reservoirs: A Critical Review

Srikanta Mishra, Luan Lin

Unconventional Resources Technology Conference (URTEC)

... or linear classification-style approach can be used to model them [8]  Artificial Neural Networks (ANN) - Computing system made up of simple, highly...

Complex structure pattern and its control on reservoir distribution in the Apsheron ridge of South Caspian Basin, insights from integrated study of OBN seismic

Xiao Dengyi, Li Jianlin, Song Jiawen, Zhao Min, Li Xiaoliang, Chen Xin, Qi Qunli, Chen Shuangting, Li Qiang, Wang Bo, An Fuli, Wang Li, Liu Qiang, Cui Jinglin

International Meeting for Applied Geoscience and Energy (IMAGE)

..., D., L. Li, R. Guo, C. Tao, and S. Zhan, 2022, 3D fault detection: Using human reasoning to improve performance of convolutional neural networks...

Machine-Learning Augmentation for 3D Seismic Fault Interpretation to Resolve Complex Strike-Slip Indenter Tectonics Structural Style: Impact to Field Development and Exploration in Banggai-Sula Basin

Krishna Pratama Laya, Fakhriar Naufaldi, Atha Khawarizmy, Wahyudin Suwarlan, Iswani Waryono

Indonesian Petroleum Association

...)  Step 1: apply 3D Continuous Neural Network (CNN) technology capable of conducting Deep Learning (DL) Fault Detection applications in the 3D merged...

Abstract: A Framework of Sparse Kernel Principal Component Analysis and Its Applications; #90187 (2014)

X. Sun, S. Z. Sun, X. Zhou, J. Tian , J. Han, H. Yang, and C. Sun

Search and Discovery.com

... of thin shaly-sand reservoirs: SEG Expanded Abstracts. Kwok, J., I. Tsang, 2004, the Pre-image problem in kernel method: IEEE Transactions On Neural...

Efficient subsurface carbon storage modeling with Fourier neural operator

Suraj Pawar, Pandu Devarakota, Faruk O. Alpak, Jeroen Snippe, Detlef Hohl

International Meeting for Applied Geoscience and Energy (IMAGE)

...Efficient subsurface carbon storage modeling with Fourier neural operator Suraj Pawar, Pandu Devarakota, Faruk O. Alpak, Jeroen Snippe, Detlef Hohl...

ABSTRACT: Comparative Study of Multinomial Logistic Regression (MLR) and Deep Fully Connected Neural Network (DNN) Techniques in Predicting the Coal Structure Based on Geophysical Logging Data

Zihao Wang, Yidong Cai, Dameng Liu, Feng Qiu, Fengrui Sun, Yingfang Zhou

The Society for Organic Petrology (TSOP)

...ABSTRACT: Comparative Study of Multinomial Logistic Regression (MLR) and Deep Fully Connected Neural Network (DNN) Techniques in Predicting the Coal...

Abstract: The Application of Multi-Seismic Attribute Classification to Find Hydrocarbons and Estimate Potential Reserves in the Onshore Gulf Coast Basin

Deborah K. Sacrey

Houston Geological Society Bulletin

... interpretive work along the onshore Gulf Coast Basin and the results of the neural analysis of multiple seismic attributes to help find hydrocarbons...

Abstract: Using Integrated Gas Chimney Processing, Frequency Attenuation Attributes, and Seismic Facies Classification to Delineate Oil Filled Reservoirs: Case Studies from the Oriente Basin, Ecuador, by David L. Connolly, Carlos Selva, and Fred Aminzadeh; #90078 (2008)

Search and Discovery.com

Abstract: Using Seismic Facies to Constrain Electrofacies Distribution as an Approach to Reduce Spatial Uncertainties and Improve Reservoir Volume Estimation, by Bruno de Ribet, Pedro Goncalves, Luis H. Zapparolli, and Cesar A. Ushirobira; #90124 (2011)

Search and Discovery.com

Abstract: Geologic Characterization for the U.S. SECARB Anthropogenic Test; Combining Modern and Vintage Well Data to Predict Reservoir Properties, by Cyphers, Shawna R.; Koperna, George J.; #90163 (2013)

Search and Discovery.com

Enhancing Seismic Data Resolution With Multi-Attribute Analysis Using Both Well Log Data and Seismic Data – A Case Study

Search and Discovery.com

A NN Supported Seismic Workflow to Create New Exploration Concepts Offshore Bahrain

Search and Discovery.com

Aplicación de la Metodología de Fluid Zone IndicatorŽ (FZI) y Redes Neuronales para Predecir la Permeabilidad en los Campos Puerto Colón, Loro y Hormiga … Cuenca del Putumayo (Colombia) [PAPER IN SPANISH] Implementation of the Methodology "Fluid Zone In

J.O. Castañeda, A.M. Forero

Asociación Colombiana de Geólogos y Geofisicos del Petróleo (ACGGP)

... Analyst. Coats G.R. and Dumanoir J.L. 1974. 17-31. Petroleum Reservoir Characterization with the Aid of Artificial Neural Networks”. J. Pet. Sci. & Eng...

Interpreting 3-D Seismic Data

Bruce S. Hart

Special Publications of SEPM

... ethods are being utilized or developed, including ultiple regression, geostatistics and neural networks, first to derive the relationships...

A Sequential Machine Learning Framework for Individual Well Forecasting in the Bakken

Ahmed G. Almetwally, Alisha Meether, Christian Gronister, Taylor Goy, Amir Kianinejad, Sebastien Matringe

Unconventional Resources Technology Conference (URTEC)

..., 2012), (LaFollette et al., 2012), (Gao and Gao, 2013), and (Griffin et al., 2013)— demonstrated the potential of neural networks, boosted regression...

Sparse time-frequency representation based on Unet with domain adaptation

Yuxin Zhang, Naihao Liu, Yang Yang, Zhiguo Wang, Jinghuai Gao, Xiudi Jiang

International Meeting for Applied Geoscience and Energy (IMAGE)

... waveform classification and first-break picking using convolution neural networks: IEEE Geoscience and Remote Sensing Letters, 15, 272–276, doi: https...

Chapter 7: Advanced Reservoir Characterization Using 3D Seismic Data in Badger Basin, Bighorn Basin, Wyoming

John E. Buggenhagen

Montana Geological Society

... in the field are located in areas where extensive, highly connected, open fracture networks have enhanced permeability. A 1993 core study...

Machine Learning Based Stereoscopic Triple Sweet Spot Evaluation Method for Shale Reservoirs

Yuxuan Deng, Wendong Wang, Xianfei Du, Yuliang Su, Shibo Sun, Yan Zhang

Unconventional Resources Technology Conference (URTEC)

... al., 2018) used Artificial Neural Networks to predict continuous geochemical logs in wells with limited or no data to identify potential geochemical...

Augmenting cased hole logging and pressure testing: improving subsurface well barrier risk assessment through machine learning

Tim Thomas, Andrew Thompson

Australian Energy Producers Journal

... by augmenting the current system, especially in risk assessment and well selections of interventions. Keywords: artificial neural networks, barrier assurance...

Formalizing Geological Knowledge--With an Example of Modeling Stratigraphy Using Fuzzy Logic

Ulf Nordlund

Journal of Sedimentary Research (SEPM)

... in open-pit mine exploitation: Mathematical Geology, v. 21, p. 309-318. KOSKO, B., 1992, Neural Networks and Fuzzy Systems: Englewood Cliffs, New...