scholarly journals Impact of Data Quality on Real-Time Locational Marginal Price

2014 ◽  
Vol 29 (2) ◽  
pp. 627-636 ◽  
Author(s):  
Liyan Jia ◽  
Jinsub Kim ◽  
Robert J. Thomas ◽  
Lang Tong
Keyword(s):  
Data Quality ◽  
Real Time ◽  
Locational Marginal Price ◽  
Marginal Price

Improving Real-Time Image-Data Quality With A Telemetry Model

2012 ◽  
Vol 27 (03) ◽  
pp. 383-392 ◽  
Author(s):  
Andreas Hartmann ◽  
Oleg Akimov ◽  
Stephen Morris ◽  
Christian Fulda
Keyword(s):  
Data Quality ◽  
Real Time ◽  
Image Data ◽  
Real Time Image ◽  
Time Image

Application of Machine Learning for Lithology-on-Bit Prediction using Drilling Data in Real-Time

2021 ◽  
Author(s):  
Temirlan Zhekenov ◽  
Artem Nechaev ◽  
Kamilla Chettykbayeva ◽  
Alexey Zinovyev ◽  
German Sardarov ◽  
...  
Keyword(s):  
Machine Learning ◽  
Data Quality ◽  
Real Time ◽  
Hybrid Modeling ◽  
Data Set ◽  
Drilling Parameters ◽  
Drilling Data ◽  
Stable Solutions ◽  
Mud Logging

SUMMARY Researchers base their analysis on basic drilling parameters obtained during mud logging and demonstrate impressive results. However, due to limitations imposed by data quality often present during drilling, those solutions often tend to lose their stability and high levels of predictivity. In this work, the concept of hybrid modeling was introduced which allows to integrate the analytical correlations with algorithms of machine learning for obtaining stable solutions consistent from one data set to another.

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