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Study of Machine Learning Methods to Predict and Prevent Gas Hydrate Formation

Authors :
Satish Inamdar
Prajwal Pustode
Ritesh Bari
Rahul Wasnik
Abhishek Patil
Shreyash Koyale
Source :
International Journal for Research in Applied Science and Engineering Technology. 11:1630-1634
Publication Year :
2023
Publisher :
International Journal for Research in Applied Science and Engineering Technology (IJRASET), 2023.

Abstract

Formation of gas hydrates are a serious concern in oil and gas production systems. The formation and possible deposition of hydrates usually occur in suitable conditions, specifically as the gas-phases of reservoir fluid interact with water molecules. Hydrate formation represents a significant risk to process safety as it can result in the plugging of both pipes and instruments. Hydrates typically form in process where light hydrocarbons, water vapor and low temperatures or high pressures are present. We have studied the conditions under which hydrates form, how formation may be prevented and what can be done once hydrates have formed.

Subjects

Subjects :
General Medicine

Details

ISSN :
23219653
Volume :
11
Database :
OpenAIRE
Journal :
International Journal for Research in Applied Science and Engineering Technology
Accession number :
edsair.doi...........1a6836ea751fc426d86e15a829e55cd7
Full Text :
https://doi.org/10.22214/ijraset.2023.50028