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Reconstruction of Missing Well-Logs Using Facies-Informed Discrete Wavelet Transform and Time Series Regression

Overview of attention for article published in SPE Journal, July 2023
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1 X user

Citations

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Title
Reconstruction of Missing Well-Logs Using Facies-Informed Discrete Wavelet Transform and Time Series Regression
Published in
SPE Journal, July 2023
DOI 10.2118/217425-pa
Authors

Quan Ren, Hongbing Zhang, Leonardo Azevedo, Xiang Yu, Dailu Zhang, Xiang Zhao, Xinyi Zhu, Xun Hu

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 100%
Student > Bachelor 1 100%
Readers by discipline Count As %
Unspecified 1 100%
Engineering 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 August 2023.
All research outputs
#20,930,935
of 25,707,225 outputs
Outputs from SPE Journal
#360
of 372 outputs
Outputs of similar age
#263,728
of 362,613 outputs
Outputs of similar age from SPE Journal
#2
of 2 outputs
Altmetric has tracked 25,707,225 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 372 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 2nd percentile – i.e., 2% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 362,613 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.