Results 151 to 160 of about 24,177,180 (174)
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Improved Data Mining for Production Diagnosis of Gas Wells with Plunger Lift through Dynamic Simulations

SPE Annual Technical Conference and Exhibition, 2019
Abstract Plunger lift has been widely used in unconventional gas wells to remove liquid accumulation from the well.. Production surveillance provides large amount of data of production process and normal and abnormal operations, which can be used in machine learning (ML) and Artificial Intelligence (AI) to develop algorithms for anomaly ...
Jianjun Zhu   +8 more
openaire   +1 more source

Integrated Data Mining and Automation for Gas Lift Design Optimization

Middle East Oil, Gas and Geosciences Show (MEOS GEO)
Abstract This paper presents an innovative approach that integrates data mining and automation to enhance gas lift design across the entire lifespan of a well, leveraging the capabilities of Industrial Revolution (IR) 4.0 technologies.
M. Daanyal   +2 more
openaire   +1 more source

The true lift model

ACM SIGKDD Explorations Newsletter, 2002
In database marketing, data mining has been used extensively to find the optimal customer targets so as to maximize return on investment. In particular, using marketing campaign data, models are typically developed to identify characteristics of customers who are most likely to respond.
openaire   +2 more sources

Using Semantic Lifting for improving Process Mining: a Data Loss Prevention System case study. [PDF]

open access: possible, 2013
Process mining is a process management technique to extract knowledge from the event logs recorded by an information system. We show how applying an appropriate semantic lifting to the eventand workflow log may help to discover the process that is actually being executed.
A. Azzini   +3 more
openaire   +1 more source

Application of Data Mining for Quick Root-Cause Identification and Automated Production Diagnostic of Gas Wells With Plunger Lift

SPE Production & Operations, 2017
Summary The paper presents an application of the classification-and-regression-tree (CART) technique as a root-cause identification and production diagnostic tool, and presents case studies from real field data for gas wells using the plunger-lift system.
openaire   +1 more source

Framework of airfoil max lift-to-drag ratio prediction using hybrid feature mining and Gaussian process regression

Energy Conversion and Management, 2021
Yongsheng Zhao, Dai Zhou, Zhaolong Han
exaly  

Deriving strong association mining rules using a dependency criterion, the lift measure

International Journal of Data Analysis Techniques and Strategies, 2009
Subhash C Bagui, Sikha Bagui
exaly  

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