Application of Damping-Boundary-based PSO to MFL Signal Inversion

2011 ◽  
Author(s):  
Han Wenhua ◽  
Yang Ping ◽  
Ren Haixia
Keyword(s):  
Signal Inversion

Integrating Images From Multiple Depths of Investigation and Quantitative Signal Inversion in Real Time For Accurate Well Placement

2008 ◽  
Author(s):  
Roland E. Chemali ◽  
Michael S. Bittar ◽  
Frode Hveding ◽  
Min Wu ◽  
Michael Raymond Dautel
Keyword(s):  
Real Time ◽  
Well Placement ◽  
Signal Inversion

Stable hydrazone-linked chiral covalent organic frameworks: Synthesis, modification, and chiral signal inversion from monomers

2021 ◽  
Vol 32 (1) ◽  
pp. 107-112
Author(s):  
Yilun Yan ◽  
Xinle Li ◽  
Gui Chen ◽  
Kai Zhang ◽  
Xihao Tang ◽  
...  
Keyword(s):  
Covalent Organic Frameworks ◽  
Signal Inversion

Nonstationary signal inversion based on shaping regularization for random noise attenuation

2020 ◽  
Vol 17 (3) ◽  
pp. 432-442
Author(s):  
Wu-Yang Yang ◽  
Wei Wang ◽  
Guo-Fa Li ◽  
Xin-Jian Wei ◽  
Wan-Li Wang ◽  
...  
Keyword(s):  
Random Noise ◽  
Noise Attenuation ◽  
Nonstationary Signal ◽  
Random Noise Attenuation ◽  
Signal Inversion

Integrating Images From Multiple Depths of Investigation and Quantitative Signal Inversion in Real Time For Accurate Well Placement

2008 ◽  
Author(s):  
Roland Chemali ◽  
Michael Bittar ◽  
Frode Hveding ◽  
Min Wu ◽  
Michael Dautel
Keyword(s):  
Real Time ◽  
Well Placement ◽  
Signal Inversion

scholarly journals A Minimum Variance Method for Lidar Signal Inversion

2014 ◽  
Vol 31 (2) ◽  
pp. 468-473 ◽  
Author(s):  
Andreja Sušnik ◽  
Heidi Holder ◽  
William Eichinger
Keyword(s):  
Boundary Condition ◽  
Extinction Coefficient ◽  
Minimum Variance ◽  
Lidar Data ◽  
Ambient Atmosphere ◽  
Lidar Signal ◽  
Extinction Coefficients ◽  
Minimum Variance Method ◽  
Time Scan ◽  
Signal Inversion

Abstract A method for the inversion of elastic lidar data is proposed that determines the value of the extinction coefficient to be used as a boundary condition, by minimizing the variance of the extinction coefficients in a delimited region. The method works well for single-component atmospheres, where the delimited region contains aerosols from a single distribution of concentrations. For situations where there may be two or more distributions (e.g., a smoke plume in the ambient atmosphere), the spatial regions containing each distribution must be identified and treated separately. Examples of inversions are given, including an example of a range–time scan showing the amount of shot-to-shot consistency that may be obtained from the method.

MFL SIGNAL INVERSION USING THE FINITE ELEMENT NETWORK

2008 ◽  
Author(s):  
Pradeep Ramuhalli ◽  
Donald O. Thompson ◽  
Dale E. Chimenti
Keyword(s):  
Finite Element ◽  
Signal Inversion
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