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The AAPG/Datapages Combined Publications Database
Showing 624 Results. Searched 200,673 documents.
Probabilistic seismic interpolation with the implicit prior of a deep denoiser
Matteo Ravasi
International Meeting for Applied Geoscience and Energy (IMAGE)
... velocity model that mimics the Volve field (see Ravasi et al. (2022) for more details on the data creation process). Second, we consider the Volve field...
2023
Automation of passive seismic processing via machine learning and physics-informed methods
Ivan Lim Chen Ning, Laura Swafford, Mike Craven, Kevin Davies, Evan Earnest, Dean Thornton
International Meeting for Applied Geoscience and Energy (IMAGE)
... reduces the time required to process passive seismic data. INTRODUCTION Seismic event location processing requires the identification of phase arrivals...
2022
Time-Lapse Petro-Elastic and Seismic Modeling to Evaluate Fracturing Efficiency in Low-Permeability Reservoirs
Masoud Alfi, Zhi Chai, Anshuman Pradhan, Travis Ramsay, Maria Barrufet, John Killough
Unconventional Resources Technology Conference (URTEC)
... inputs, normal incidence seismic traces are forward-modeled through the convolutional model shown in Eq. 10. A zero-phase Ricker wavelet with a central...
2018
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
Improving Microseismic Denoising Using 4D (Temporal) Tensors and High-Order Singular Value Decomposition
Keyla Gonzalez, Eduardo Gildin, Richard L. Gibson Jr.
Unconventional Resources Technology Conference (URTEC)
...nd time. The compressed model demonstrated the improvement of big data analysis by cutting down the execution time from months to seconds. In a...
2021
Application of Bayesian Optimized Deep Bi-LSTM Neural Networks for Production Forecasting of Gas Wells in Unconventional Shale Gas Reservoirs
Y. Kocoglu, S. Gorell, P. McElroy
Unconventional Resources Technology Conference (URTEC)
... (Shahkarami & Mohaghegh, 2020). Therefore, a comprehensive model that is less computationally expensive and less time consuming than history matching...
2021
Abstract: Post-stack Inversion of the Hussar Low Frequency Seismic Data; #90187 (2014)
Patricia E. Gavotti, Don C. Lawton, Gary F. Margrave, and J. Helen Isaac
Search and Discovery.com
... on the convolutional model of the seismic trace according to the equation 1: , (1) where S is the seismic trace, W is the wavelet, R is the reflectivity and N...
2014
Abstracts: Application of Neural Network Analysis and Post-Stack Inversion - Case Studies in Alberta; #90173 (2015)
Somanath Misra and Satinder Chopra
Search and Discovery.com
... the P-impedance from the post-stack data by way of model based inversion as well as neural network analysis. We are showing comparisons of the results...
2015
Using Machine Learning for Geosteering During In-Seam Drilling
Ruizhi Zhong, Ray L. Johnson Jr, Zhongwei Chen
Unconventional Resources Technology Conference (URTEC)
... the relationship between the inputs and the output. In this study, the inputs of the machine learning model include common real-time surface...
2021
Convolution neural networks fault interpretation in the Brazilian presalt
Hugo Garcia, Edimar Perico, Ana Moliterno, Alexandre Kolisnyk, Michael Lowsby
International Meeting for Applied Geoscience and Energy (IMAGE)
..., particularly deep learning convolutional neural networks have been used successfully in fault interpretation in seismic data around the world with different...
2024
Simulating seismic data using generative adversarial networks
Bradley C. Wallet, Eyad Aljishi, Hussain Alfayez
International Meeting for Applied Geoscience and Energy (IMAGE)
... International Conference on Machine Learning, 70, 214–223. Chellapilla, K., S. Puri, and P. Simard, 2006, High performance convolutional neural...
2022
Chapter 7: Advanced Reservoir Characterization Using 3D Seismic Data in Badger Basin, Bighorn Basin, Wyoming
John E. Buggenhagen
Montana Geological Society
... occurrence in Badger Basin. The extra time spent testing and optimizing the processing sequence proved vital to refining the final model...
1997
Fluids characterization using cuttings extracts analyzed by gel permeation chromatography
G. Eric Michael, Julian Moore, Lloyd Jones, Alexandra Cely, Gulnar Yerkinkyzy, Tao Yang
International Meeting for Applied Geoscience and Energy (IMAGE)
... polystyrene are applied (Espada et al., 2011, Yarranton et al., 2015, Vargas and Chapman, 2015). For GPC, retention time is commonly referred to as retention...
2024
Improving Resolution and Clarity with Neural Networks; #41911 (2016)
Christopher P. Ross
Search and Discovery.com
... and anisotropic model parameters simultaneously with wave-equation modeling. Well logs may be used as part of the low-frequency initial model building...
2016
Abstract: P-wave AVAz Modeling: A Haynesville Case Study; #90224 (2015)
Jon Downton
Search and Discovery.com
... but for simplicity this paper focuses on convolutional modeling. Typically a 1D layered earth model is assumed for which the interpreter assigns elastic...
2015
The Perfect Frac Stage, Whats the Value?
Craig Cipolla, Ankush Singh, Mark McClure, Michael McKimmy, John Lassek
Unconventional Resources Technology Conference (URTEC)
.... The data requirements for this early model were fracture treatment design and completion parameters. Semi real-time inputs included rate, treating...
2024
Hydraulic Fracture Monitoring Using Distributed Acoustic Sensing: A Case Study Using Dip-in Fiber
Chaoyi Wang, Yuanyuan Ma, David Eaton, Kelly MacDougall, Carolyn Furlong
Unconventional Resources Technology Conference (URTEC)
... optical time-domain reflectometry (Barnoski and Jensen., 1976, Harmer, 1982, Daley et al., 2013, Masoudi et al., 2013, Parker et al., 2014, Dewolf et al...
2022
A data-feature-policy solution for multiscale geological-geophysical intelligent reservoir characterization
Wenhao Zheng, Fei Tian, Qingyun Di, Jiangyun Zhang, Hui Zhou, Wang Zhang, Zhongxing Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
... on Deep Belief Network, the geological prediction model was established. It was optimized by a double-loop filtering mechanism that selected the parameter...
2022
Seismic reservoir characterization of the Strawn Group, northern part of the Eastern Shelf, King County, North-Central Texas: Case study
Osareni C. Ogiesoba
International Meeting for Applied Geoscience and Energy (IMAGE)
... > 15 Hz are filtered out. The inversion process is based on the convolutional model expressed as Using the same procedure, I predicted the Vp/Vs...
2023
Improving Wolfcamp B3 Drilling and Production by Integrating Core, Mud logs, Electrical Logs, Seismic Inversion, Microseismic and Drilling Data
Hongzhuan Ye, Lowell Waite, Robert Meek
Unconventional Resources Technology Conference (URTEC)
... and represents an oil-bearing horizontal target zone. Wolfcamp B time in the Midland Basin was a deep marine environment surrounded to the north, east...
2015
Seismic impedance inversion via neural networks and linear optimization algorithm
Bo Zhang, Yitao Pu, Ruiqi Dai, Danping Cao
International Meeting for Applied Geoscience and Energy (IMAGE)
..., and a low frequency model. The loss function of PINNs is designed to minimize the difference between real seismograms and synthetic seismic...
2024
Geophysics in gold hydrogen exploration
Mengli Zhang, Yaoguo Li
International Meeting for Applied Geoscience and Energy (IMAGE)
... determine the upper limit for H2 generation. In the early stages of hydrogen exploration, either as an emergent industry or on a project time scale...
2024
Reservoir prediction using graph-regularized deep learning
Kaiheng Sang, Nanying Lan, Fanchang Zhang
International Meeting for Applied Geoscience and Energy (IMAGE)
... of these explicit formulas are based on strong approximation to the underground media properties, such as convolution model, Aki-Richard approximate...
2022
Seismic super resolution method for enhancing stratigraphic interpretation
Chengbo Li, Qingrong Zhu, Baishali Roy
International Meeting for Applied Geoscience and Energy (IMAGE)
... 𝒎 and employ the convolutional model to illustrate the method. Assuming the wavelet is stationary within a given interval, the seismic can...
2022
Machine assisted drillhole interpretation of iron ore resource evaluation holes in the Pilbara
Daniel Wedge, Owen Hartley, Andrew McMickan, Eun-Jung Holden, Thomas Green
Petroleum Exploration Society of Australia (PESA)
... application to shale bands in the Pilbara. Silversides et al. (2011) used Gaussian Processes to model and identify gamma signatures, and later used dynamic time...
2019