Principal component analysis-assisted selection of optimal denoising method for oil well transient data
Abstract Oil and gas production wells are often equipped with modern, permanent or temporary in-well monitoring systems, either electronic or fiber-optic, typically for measurement of downhole pressure and temperature. Consequently, novel methods of pressure and temperature transient analysis (PTTA)...
Main Authors: | Bing Zhang, Khafiz Muradov, Akindolu Dada |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2020-10-01
|
Series: | Journal of Petroleum Exploration and Production Technology |
Subjects: | |
Online Access: | https://doi.org/10.1007/s13202-020-01010-3 |
Similar Items
-
Review of Different Methods for Identification of Transients in Pressure Measurements by Permanent Downhole Gauges Installed in Wells
by: Boyu Cui, et al.
Published: (2023-02-01) -
Complex Discrete Wavelet Transform-Based Image Denoising
by: Hadeel N. Abdullah, et al.
Published: (2011-03-01) -
Wavelet and Earth Mover’s Distance Coupling Denoising Techniques
by: Zhihua Zhang, et al.
Published: (2023-08-01) -
Optimal Wavelet Selection for Signal Denoising
by: Gyana Ranjan Sahoo, et al.
Published: (2024-01-01) -
Principal Component Analysis in advanced breeding lines of oat (A. sativa × A. sterilis)
by: Nagesh Bichewar1*, A. K. Mehta1, Kadthala Bhargava2 and S. Ramakrishana1
Published: (2023-06-01)