APPLICATION OF MACHINE LEARNING MODELS IN PREDICTING INITIAL GAS PRODUCTION RATE FROM TIGHT GAS RESERVOIRS

APPLICATION OF MACHINE LEARNING MODELS IN PREDICTING INITIAL GAS PRODUCTION RATE FROM TIGHT GAS RESERVOIRS

Driven by advancements in technology, tight-gas field development has become a significant source of hydrocarbon to the energy industry. The amount of data generated in the process is immense as most platforms are now being digitized. Machine learning tools can be used to analyse this data in order to...

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Bibliographic Details
Main Authors: Ugwumba Chrisangelo Amaechi, Princewill Maduabuchi Ikpeka, Ma Xianlin, Johnson Obunwa Ugwu
Format: Article
Language:English
Published: Faculty of Mining, Geology and Petroleum Engineering 2019-01-01
Series:Rudarsko-geološko-naftni Zbornik
Subjects:
predictive analytics
machine learning
artificial neural network
initial gas production rate
look-back analysis
Online Access:https://hrcak.srce.hr/file/324516

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