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The AAPG/Datapages Combined Publications Database

Showing 624 Results. Searched 200,673 documents.

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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, Whats 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

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