Modeling of Intelligent Control System for Liquid Level in Multi-Stage Separator Arrangement in Oil and Natural Gas Industry

With the increased focus on greenhouse gas emissions (GHG) and their role in the implementation of policy measures for their mitigation, there continues to be a need for accurate, reliable and transparent characterisation of these emissions. A myriad of mandatory reporting regulations and voluntary initiatives with diverse protocols and methodologies are emerging globally. This poses a particular challenge to multinational companies, such as in the oil and natural gas industry sector, which operate globally and in joint ventures. The American Petroleum Institute (API) and its member companies recognised these challenges over a decade ago and launched a multi-year initiative to map out and provide tools for the quantification of GHG emissions from oil and natural gas industry operations and similar industrial sources. During this time span, the industry developed several key guidance documents to promote the consistent and accurate quantification and reporting of GHG emissions. This paper will focus on two recent publications: the 2009 Edition of API’s Compendium of GHG Emissions Estimation Methodologies for the Oil and Gas Industry (3rd revision); and, a new document addressing technical considerations and statistical calculation methods for assessing the uncertainty of GHG emission estimates. The paper will discuss case studies pertinent to oil and natural gas exploration and production activities and will put these in context with emerging US mandatory GHG emissions reporting. It will also discuss the broad applicability of these estimation methods, and uncertainty considerations, to most industry sectors that rely on fossil fuels for their energy sources.

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Corrosion Sensors for Structural Health Monitoring of Oil and Natural Gas Infrastructure: A Review

Sensors ◽

10.3390/s19183964 ◽

2019 ◽

Vol 19 (18) ◽

pp. 3964 ◽

Cited By ~ 10

Author(s):

Ruishu F. Wright ◽

Ping Lu ◽

Jagannath Devkota ◽

Fei Lu ◽

Margaret Ziomek-Moroz ◽

...

Keyword(s):

Natural Gas ◽

Radio Frequency Identification ◽

Structural Integrity ◽

Electrochemical Sensors ◽

In Situ Monitoring ◽

Gas Industry ◽

Natural Gas Industry ◽

Oil And Natural Gas ◽

Wave Sensors ◽

Corrosive Environments

Corrosion has been a great concern in the oil and natural gas industry costing billions of dollars annually in the U.S. The ability to monitor corrosion online before structural integrity is compromised can have a significant impact on preventing catastrophic events resulting from corrosion. This article critically reviews conventional corrosion sensors and emerging sensor technologies in terms of sensing principles, sensor designs, advantages, and limitations. Conventional corrosion sensors encompass corrosion coupons, electrical resistance probes, electrochemical sensors, ultrasonic testing sensors, magnetic flux leakage sensors, electromagnetic sensors, and in-line inspection tools. Emerging sensor technologies highlight optical fiber sensors (point, quasi-distributed, distributed) and passive wireless sensors such as passive radio-frequency identification sensors and surface acoustic wave sensors. Emerging sensors show great potential in continuous real-time in-situ monitoring of oil and natural gas infrastructure. Distributed chemical sensing is emphasized based on recent studies as a promising method to detect early corrosion onset and monitor corrosive environments for corrosion mitigation management. Additionally, challenges are discussed including durability and stability in extreme and harsh conditions such as high temperature high pressure in subsurface wellbores.

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The Relationship Between Employee Satisfaction and Loyalty: A Cross-Sectional Study in Oil and Natural Gas Industry

Journal of Cognitive Sciences and Human Development ◽

10.33736/jcshd.507.2017 ◽

2017 ◽

Vol 2 (2) ◽

Author(s):

Uthyasuriyan A. Talwar ◽

Oon Y B ◽

Rusli Ahmad

Keyword(s):

Career Development ◽

Natural Gas ◽

Employee Satisfaction ◽

Sampling Technique ◽

Employee Loyalty ◽

Cross Sectional ◽

Gas Industry ◽

Natural Gas Industry ◽

Oil And Natural Gas ◽

The Relationship

The global drop in oil and natural gas industry have had a significant impact on the Malaysian market and have potentially redirected Malaysia under a negative global spotlight. The layoff rate in oil and natural gas organizations have risen dramatically, this situation may affect the satisfaction level among employees and their loyalty in the respective oil and natural gas industry. The present study is aimed to determine the relationship between employee satisfaction and employee loyalty in Oil and Natural Gas Industry. Using simple random sampling technique 100 employees working in Oil and Natural Gas Industry were selected as respondents. Questionnaire was used for data collection. Results obtained showed that there is positive correlation between different components of employee satisfaction and employee loyalty. A notable variable that emerged in the analysis was compensation and benefits, while career development was least important that predisposed loyalty. Keywords: Employee satisfaction; employee loyalty; career development; compensation and benefits; job security COGNITIVE

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