Predicting Petroleum Reservoir Properties from Downhole
Sensor Data using an Ensemble Model of Neural Networks

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Predicting Petroleum Reservoir Properties from Downhole Sensor Data using an Ensemble Model of Neural Networks

The acquisition of huge sensor data has led to the advent of the smart field phenomenon in the petroleum industry. A lot of data is acquired during drilling and production processes through logging tools equipped with sub-surface/down-hole sensors. Reservoir modeling has advanced from the use of emp...

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Bibliographic Details
Main Authors:	Fatai Adesina, Anifowose, Jane, Labadin, Abdulazeez, Abdulraheem
Format:	Proceeding
Language:	English
Published:	2013
Subjects:	T Technology (General)
Online Access:	http://ir.unimas.my/id/eprint/8468/ http://ir.unimas.my/id/eprint/8468/1/Fatai%20Anifowose.pdf

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