Well Integrity Flow Detection Using Novel Acoustic Pattern Recognition Algorithms

2020 ◽  
Author(s):  
Lilia Noble ◽  
Tommy Langnes ◽  
Pradyumna Thiruvenkatanathan ◽  
Curt Jones ◽  
Samantha Fletcher ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Well Integrity ◽  
Recognition Algorithms ◽  
Acoustic Pattern ◽  
Flow Detection

An embedded system for acoustic pattern recognition

2017 ◽  
Author(s):  
Constanze Tschope ◽  
Frank Duckhorn ◽  
Christian Richter ◽  
Peter Bluthgen ◽  
Matthias Wolff
Keyword(s):  
Pattern Recognition ◽  
Embedded System ◽  
Acoustic Pattern

Application of image enhancement and pattern recognition algorithms to seismic reflection data

1983 ◽  
Vol 73 (1) ◽  
pp. 307-314
Author(s):  
George A. McMechan
Keyword(s):  
Pattern Recognition ◽  
Pacific Ocean ◽  
Image Enhancement ◽  
Seismic Reflection ◽  
Gray Scale ◽  
Seismic Reflection Data ◽  
Reflection Data ◽  
Recognition Algorithms ◽  
Gray Scale Image ◽  
Northeastern Pacific

abstract A digital seismic reflection section may be converted to a gray scale image composed of pixels and processed with techniques borrowed from the disciplines of image enhancement and pattern recognition. Types of processing include scaling, thresholding, density equalization, filtering, segmentation, and edge-finding. These are successfully applied to a migrated common mid-point seismic reflection line that traverses the Queen Charlotte fault (located in the northeastern Pacific Ocean). The result is the definition and enhancement of an elongated, near-vertical reflectivity anomaly associated with the Queen Charlotte fault.

Optical pattern recognition algorithms, architecture, and applications: introduction to the feature issue

2003 ◽  
Vol 42 (23) ◽  
pp. 4647 ◽  
Author(s):  
Abdul A. Awwal ◽  
Khan M. Iftekharuddin ◽  
Mohammad A. Karim ◽  
Richard D. Juday
Keyword(s):  
Pattern Recognition ◽  
Optical Pattern Recognition ◽  
Recognition Algorithms ◽  
Optical Pattern

Proposal of real-time Brillouin fiber sensing based on compressing sensing and pattern recognition algorithms

2021 ◽  
Author(s):  
Benzhang Wang ◽  
Yupeng Zhang ◽  
Fan Zhou ◽  
Xianlei Ye ◽  
Dongliang Quan
Keyword(s):  
Pattern Recognition ◽  
Real Time ◽  
Fiber Sensing ◽  
Recognition Algorithms

Successful Price Cycle Forecasts for S&P Futures Using TF3, a Pattern Recognition Algorithms Based on the KNN Method

2006 ◽  
pp. 116-120
Author(s):  
Bill C. Giessen ◽  
Zhaoyang Zhao ◽  
Tao Yu ◽  
Jun Chen ◽  
Jian Yao ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Recognition Algorithms
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