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Implementing Unsupervised Machine Learning Algorithms for Image Processing in Post-stack Seismic Data to Delineated Structural Geological Features
Seismic attribute calculations have been traditionally used for measuring specific traits in
seismic data for further interpretation. These calculations tend to have a fixed operator or …
seismic data for further interpretation. These calculations tend to have a fixed operator or …
Sobel based edge detection algorithm with adaptive operator size applied to post-stack seismic data
D Barka - 2015 - uis.brage.unit.no
Exploring the subsurface is today mostly done by researching seismic imaging thoroughly
before attempting to bore exploration wells. By applying seismic attributes (imaging filters) …
before attempting to bore exploration wells. By applying seismic attributes (imaging filters) …
[PDF][PDF] A seismic-inspired denoising method for online recorded music
FB van den Broek - 2017 - repository.tudelft.nl
In this work, a novel subspace-based algorithm is presented for automated random noise
reduction in online recorded music. Musical signal enhancement is a separate issue from …
reduction in online recorded music. Musical signal enhancement is a separate issue from …
[فهرست منابع][C] Using an ML Driven Reservoir Characterization for CCUS Workflows
The need to slow down the effects of climate change calls for the emerging development of
carbon capture use and storage (CCUS) as a necessary technological catalyst for …
carbon capture use and storage (CCUS) as a necessary technological catalyst for …
[فهرست منابع][C] A Data Driven and Unsupervised Learning Approach for Salt Segmentation Automating the Extraction of Salt Structures
Delineation of Salt structures tends to be quite difficult due to the challenges faced during
data acquisition and processing. The noisy nature of the post stack seismic data and the …
data acquisition and processing. The noisy nature of the post stack seismic data and the …