scholarly journals Production of Electricity from Flared Associated Gas as a Strategy for Reduction of Environmental Pollutions in Oil and Gas Sector (A Case Study of Niger Delta)

Author(s):  
Mathew Chidube Udechukwu ◽  
Ubanozie Julian Obibuike ◽  
Anthony Chemazu Igbojionu ◽  
Stanley Toochukwu Ekwueme
2020 ◽  
Author(s):  
Yaghoub rashnavadi ◽  
Sina Behzadifard ◽  
Reza Farzadnia ◽  
sina zamani

<p>Communication has never been more accessible than today. With the help of Instant messengers and Email Services, millions of people can transfer information with ease, and this trend has affected organizations as well. There are billions of organizational emails sent or received daily, and their main goal is to facilitate the daily operation of organizations. Behind this vast corpus of human-generated content, there is much implicit information that can be mined and used to improve or optimize the organizations’ operations. Business processes are one of those implicit knowledge areas that can be discovered from Email logs of an Organization, as most of the communications are followed inside Emails. The purpose of this research is to propose an approach to discover the process models in the Email log. In this approach, we combine two tools, supervised machine learning and process mining. With the help of supervised machine learning, fastText classifier, we classify the body text of emails to the activity-related. Then the generated log will be mined with process mining techniques to find process models. We illustrate the approach with a case study company from the oil and gas sector.</p>


Energy ◽  
2014 ◽  
Vol 64 ◽  
pp. 462-472 ◽  
Author(s):  
Mohammed A. Khatita ◽  
Tamer S. Ahmed ◽  
Fatma. H. Ashour ◽  
Ibrahim M. Ismail

2020 ◽  
Author(s):  
Yaghoub rashnavadi ◽  
Sina Behzadifard ◽  
Reza Farzadnia ◽  
sina zamani

<p>Communication has never been more accessible than today. With the help of Instant messengers and Email Services, millions of people can transfer information with ease, and this trend has affected organizations as well. There are billions of organizational emails sent or received daily, and their main goal is to facilitate the daily operation of organizations. Behind this vast corpus of human-generated content, there is much implicit information that can be mined and used to improve or optimize the organizations’ operations. Business processes are one of those implicit knowledge areas that can be discovered from Email logs of an Organization, as most of the communications are followed inside Emails. The purpose of this research is to propose an approach to discover the process models in the Email log. In this approach, we combine two tools, supervised machine learning and process mining. With the help of supervised machine learning, fastText classifier, we classify the body text of emails to the activity-related. Then the generated log will be mined with process mining techniques to find process models. We illustrate the approach with a case study company from the oil and gas sector.</p>


Author(s):  
S. A. Sabra ◽  
A. M. Aamer

The purpose of this study was to evaluate barriers in understanding different sets of culture, which can arise in an organization. This study was also done to comprehend how resistance can be managed or reduced by discussing the significance of effective communication between management and employees. Trust in management and employee participation during the process of managing changes in National Oil and Gas Company was also identified. We conducted a case study as an investigative tool. In terms of the research site, we focused on one of the national oil and gas companies to highlight some of the issues and outcomes of recent management change. To collect data, questionnaires were distributed within the company. Bivariate correlation analysis and regression analysis were then used to test the proposed hypotheses. The results empirically showed that there are several parameters involving resistance to organizational changes. These parameters can be classified as communication between management and employees, trust in management, and employee participation. These parameters gave a positive impact as employee participation has the highest impact of the three examined factors.


2021 ◽  
Author(s):  
Onyeka Onwuemene

Abstract This paper examines an optimized strategy and approach for executing a marginal field re-entry in the face of harsh global economic realities in the oil and gas sector. With dwindling and depressing oil prices driven by demand & supply volatility with root causes traceable to some factors such as the prevalent health pandemic, clamor for green energy, climate change discussions, geopolitics etc, the operating model for oil companies will need to drastically change to reflect current realities. Due to rapid global urbanization and increasing population amongst other factors, there is a corresponding huge appetite for oil to meet energy demands. This has led to exploration in unconventional terrains, utilization of the full extent of primary and secondary recovery mechanisms to attain high RFs in already producing fields and in some extreme cases, the development of marginal fields. In the Niger Delta area of Nigeria, marginal fields usually given up by Oil majors or abandoned following production exigencies and government laws are acquired and operated by indeginous companies. These indigenous players look for the most cost-effective means to produce these assets as it becomes the only way to make profit. A case study for field re-entry in the Niger Delta, which emphasized relatively/comparatively reduced capital outlay dependent on the technical approach is examined. Lessons learnt are drawn to aid enlightened go-forward actions and that will ensure a go-to template for similar future marginal field re-entry projects.


2021 ◽  
Author(s):  
Majed Alsuwailem

Abstract Gas is envisaged as the fuel of choice in the power sector and is ideal for helping to transition toward clean, sustainable, and affordable energy access. As vital as gas is for electricity generation, the petrochemical industry, the transportation sector, and heating, many oil operators either flare or vent associated gas, a by-product of oil extraction, at the wellhead or gathering stations. Gas flaring releases greenhouse gases (GHGs) into the atmosphere. It occurs for various reasons, including infrastructure and financial constraints to capture the gas, inadequate regulatory frameworks, or binding contractual rights. The World Bank estimated the amount of flared natural gas in the oil and gas industry reached 5.1 trillion cubic feet (tcf) in 2018 (World Bank 2018). The amount of energy lost due to flaring or venting this gas is equivalent to more than 770 billion kilowatt-hours (kWh). It releases more than 310 million tonnes of carbon equivalent. Many countries and oil operators have managed to mitigate gas flaring and venting across their oil and gas value chains due to these troubling statistics. One such example is the Kingdom of Saudi Arabia. Before 1975, the Saudi oil and gas industry flared or vented over 4 billion standard cubic feet (SCF) of associated gas, a by-product of oil extraction. The flaring intensity would have increased had it not been for the construction of Saudi Arabia’s Master Gas System (MGS). The Kingdom’s gas flaring mitigation process is a successful case study of how governments and oil operators can collaborate to eliminate gas flaring by developing a domestic market for gas and enhancing the value of natural gas resources. It also demonstrates the successful transition that the kingdom had in the past five decades to achieve zero flaring through technology deployment and advancing the "reduce" component of the circular carbon economy. This paper discusses Saudi Arabia’s progress in gas flaring, the measures the government has taken thus far, and how operators have adapted to them. It also identifies many lessons learned and technological solutions that could be scaled up on a national or a corporate level to reduce gas flaring towards achieving zero routine flaring targets, especially in cases where the state owns hydrocarbon assets and leases them to private operators.


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