UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRCS06035


Registration ID:
211839

Page Number

151-156

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Title

IIOT for Monitoring Oil Well Production and Ensure Reliability

Abstract

Unconventional resources challenge the oil industry. Exploration and development of oil and gas reservoirs require new sensors, analytics, and processes. Systems require better connectivity, monitoring and control, and process automation. Previously deployed technology limits the ability to quickly and reliably integrate and robustly operate field-to-cloud systems, especially across large field installations. The Industrial Internet of Things represents the biggest opportunity in re-cent decades for the advancement of industrial technology. This study presents an application of a multivariate regression model to estimate the future production performance of oil wells based on monthly-production time series data. Several engineering techniques that require expertise and data that are difficult to obtain are used currently to predict well performance. In this report, focus is on how innovative networking standards and protocols are enabling revolutionary system-building approaches that greatly ease field operations, how to predict, forecast the value of oil production over time under different condition.

Key Words

Multivariate regression model, Industrial Internet of Things (IIOT), Prediction, Forecasting

Cite This Article

"IIOT for Monitoring Oil Well Production and Ensure Reliability", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.151-156, May 2019, Available :http://www.jetir.org/papers/JETIRCS06035.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"IIOT for Monitoring Oil Well Production and Ensure Reliability", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp151-156, May 2019, Available at : http://www.jetir.org/papers/JETIRCS06035.pdf

Publication Details

Published Paper ID: JETIRCS06035
Registration ID: 211839
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 151-156
Country: -, --, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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