Wavelet-Based Kalman Smoothing Method for Uncertain Parameters Processing: Applications in Oil Well-Testing Data Denoising and Prediction

The low-distortion processing of well-testing geological parameters is a key way to provide decision-making support for oil and gas field development. However, the classical processing methods face many problems, such as the stochastic nature of the data, the randomness of initial parameters, poor d...

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Bibliografiset tiedot
Päätekijät: Xin Feng, Qiang Feng, Shaohui Li, Xingwei Hou, Mengqiu Zhang, Shugui Liu
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: MDPI AG 2020-08-01
Sarja:Sensors
Aiheet:
low-distortion processing
oil well-testing data
wavelet analysis
Kalman prediction
data smoothing
data compression
Linkit:https://www.mdpi.com/1424-8220/20/16/4541
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