Assessment of Conflict Management in Niger Delta and Implications for Sustainable Development of Oil and Gas in Nigeria

2021 ◽  
Author(s):  
Humphrey Otombosoba Oruwari

Abstract Nigerian oil and gas industry have over the years witnessed incessant conflicts between the stakeholders, particularly the host communities in Niger Delta region and the oil and gas companies in partnership with the Federal Government. Conflict which is here defined as manifestation of disagreement between individual and groups arising from differing and mutually incompatible interests has both positive and negative effects depending on how it was managed. Managing conflicts is all about limiting the negative aspects. The study examined conflicts management in Nigeria oil and gas industry and how best the positive elements of conflicts can be maximally exploited for the mutual benefit of both oil and gas company and the host communities in Niger Delta. The study adopted the multidisciplinary approach, literature review, case study and relied on secondary sources using analytical method of data analysis. The study findings revealed that the major factors that precipitate conflicts between the oil and gas industry and host communities in Niger Delta include economic, social, political, and ecological factors. There are available strategies that can be used in conflict management. These include avoiding, accommodating, or smoothing, competing, or forcing, compromising, and collaborating. Any of these strategies can be used to manage conflict depending on the situation, the environment factor, and the nature of the conflict. The problem is that the oil and gas companies in partnership with the Nigerian government often adopted the wrong approach in dealing with the conflict with host communities, using avoiding or forcing strategies. The study recommends collaboration strategy which ensues long term-term solution to mutual benefits.

2021 ◽  
Vol 20 (4) ◽  
pp. 718-752
Author(s):  
Oleg V. SHIMKO

Subject. The article addresses the EV/EBITDA and EV/DACF ratios of the twenty five largest public oil and gas corporations from 2008 to 2018. Objectives. The purpose is to identify key trends in the value of EV/EBITDA and EV/DACF ratios of biggest public oil and gas corporations, determine factors resulted in the changes over the studied period, and establish the applicability of these multipliers for assessing the business value within the industry. Methods. I apply methods of comparative and financial-economic analysis, and generalization of consolidated financial statements data. Results. The study revealed that EV/EBITDA and EV/DACF multiples are acceptable for valuing oil and gas companies. The EV level depends on profitability, proved reserves, and a country factor. It is required to adjust EBITDA for information on impairment, revaluation and write-off for assets that are reported separately from depreciation, depletion and amortization costs, as well as for income or expenses arising after the sale of fixed assets and as a result of effective court decisions or settlement agreements. It is advisable to adjust DACF for income, expenses and changes in assets and liabilities, which are caused by events that are unusual for oil and gas companies. Conclusions. The application of EV/EBITDA and EV/DACF multiples requires a detailed analysis and, if necessary, adjustments of their constituent components. However, they are quite relevant in the context of declining profitability and growing debt burden in the stock exchange sector of the global oil and gas industry.


2021 ◽  
Author(s):  
Afungchwi Ronald Ngwashi ◽  
David O. Ogbe ◽  
Dickson O. Udebhulu

Abstract Data analytics has only recently picked the interest of the oil and gas industry as it has made data visualization much simpler, faster, and cost-effective. This is driven by the promising innovative techniques in developing artificial intelligence and machine-learning tools to provide sustainable solutions to ever-increasing problems of the petroleum industry activities. Sand production is one of these real issues faced by the oil and gas industry. Understanding whether a well will produce sand or not is the foundation of every completion job in sandstone formations. The Niger Delta Province is a region characterized by friable and unconsolidated sandstones, therefore it's more prone to sanding. It is economically unattractive in this region to design sand equipment for a well that will not produce sand. This paper is aimed at developing a fast and more accurate machine-learning algorithm to predict sanding in sandstone formations. A two-layered Artificial Neural Network (ANN) with back-propagation algorithm was developed using PYTHON programming language. The algorithm uses 11 geological and reservoir parameters that are associated with the onset of sanding. These parameters include depth, overburden, pore pressure, maximum and minimum horizontal stresses, well azimuth, well inclination, Poisson's ratio, Young's Modulus, friction angle, and shale content. Data typical of the Niger Delta were collected to validate the algorithm. The data was further split into a training set (70%) and a test set (30%). Statistical analyses of the data yielded correlations between the parameters and were plotted for better visualization. The accuracy of the ANN algorithm is found to depend on the number of parameters, number of epochs, and the size of the data set. For a completion engineer, the answer to the question of whether or not a well will require sand production control is binary-either a well will produce sand or it does not. Support vector machines (SVM) are known to be better suited as the machine-learning tools for binary identification. This study also presents a comparative analysis between ANN and SVM models as tools for predicting sand production. Analysis of the Niger Delta data set indicated that SVM outperformed ANN model even when the training data set is sparse. Using the 30% test set, ANN gives an accuracy, precision, recall, and F1 - Score of about 80% while the SVM performance was 100% for the four metrics. It is then concluded that machine learning tools such as ANN with back-propagation and SVM are simple, accurate, and easy-to-use tools for effectively predicting sand production.


2021 ◽  
Vol 27 (1) ◽  
pp. 129-167
Author(s):  
Oleg V. SHIMKO

Subject. This article explores the ratios of the company's market capitalization and value to the balance sheet value of assets and equity of the twenty five leading public oil and gas companies between 2008 and 2018. Objectives. The article aims to identify key trends in the changes in market capitalization and value ratios of the company to the balance sheet value of assets and equity of the largest public oil and gas companies, identify the factors that have caused these changes, and establish the applicability of these multipliers to estimate the value of the business within the oil and gas industry. Methods. For the study, I used comparative, and financial and economic analyses, and generalization of materials of the companies' consolidated financial statements. Results. The article establishes that the multipliers studied are acceptable for assessing the value of oil and gas companies, but it is preferable to use asset-based ratios. Conclusions and Relevance. The overall decline in profitability and the increase in debt load in the stock exchange sector of the global oil and gas industry should be taken into account when using multipliers based on assets and shareholder capital in the assessment of the value of oil and gas corporations through a comparative approach. The results of the study can be used to assess the possible value of oil and gas assets as part of a comparative approach and develop measures to increase the market capitalization of public oil and gas companies.


2018 ◽  
Vol 2018 (4) ◽  
pp. 79-99
Author(s):  
Elena Fedorova ◽  
Oleg Rogov ◽  
Valery Klyuchnikov

In this study, a relationship between the mood of news and the response of the oil and gas industry index of the Russian Federation was revealed. The empirical base of the study included 8.5 million news from foreign sources. Research methodology: fuzzy sets, naive Bayesian classifier, Pearson correlation coefficient. As a result of the research, it was discovered that: 1) negative news affects the stronger than the positive on the stock index; 2) news on companies affect the value of the index, and news on the industry affect the volume of trading; 3) the sanctions did not significantly affect the coverage of Russian oil and gas companies.


2018 ◽  
Vol 7 (3.11) ◽  
pp. 157
Author(s):  
Amanda Antonio Galis ◽  
Norfashiha Hashim ◽  
Faridah Ismail ◽  
Norazian Mohd Yusuwan

The application of Behaviour-Based Safety (BBS) in the oil and gas industry is facing a severe challenge that safety performance may decline when BBS intervention is removed, due to the dynamic and transitory nature of working area and workforce. This research investigates the factors affecting the implementation of Behaviour-Based Safety (BBS) approach in Oil and Gas Industry. Seven oil and gas companies practicing BBS had been chosen for case study. These companies has been implementing BBS as part of the safety exercise from 2 to 20 years. The findings show that implementation of BBS started by the request from the client. Seven challenges of implementation BBS emerged during the interview that is data management, top management commitment, employee acceptance towards program, organizational safety culture and financial barrier. While, the factor that influences the implementation of BBS is the organization commitment, top management level, training and understanding of workers toward BBS are the factors that affect the implementation of BBS in oil and gas industries.  


2020 ◽  
Vol 28 (6) ◽  
pp. 21-23

Purpose The purpose of this study is to examine how female expatriates mobilize couples’ dual-career coordination strategic choices to achieve their own and their partners’ desired career goals. Design/methodology/approach The researcher initially contacted 45 expatriate women in heterosexual relationships by email. More detailed interviews were done verbally with 20 of the women. The participants were asked to explain what actions they had taken, and also the effectiveness of any employer support, to maintain two successful careers Findings The women working were often angry and disappointed with their organizations’ lack of support for their dual career strategies. They adopted strategies of their own to further mutual careers while keeping relationships on track. One is to work with their organizations to secure favorable employment conditions that minimize periods of separation and, if possible, facilitate suitable employment for their partners. A second strategy is to develop personal tactics of cooperation and coordination Originality/value The results are a demonstration to the oil and gas industry that they need to do more to support dual career couples, or they will lose out on a lot of talent.


2019 ◽  
Vol 59 (2) ◽  
pp. 615 ◽  
Author(s):  
Amber Johnston-Billings ◽  
Louise Pogmore ◽  
Mike Kaiser

International oil and gas companies have poured significant resources into building social licence since the 1990s. Despite this extensive effort at a local community level adjacent to operations, social licence has not been consistently gained and broad-based community trust in the industry is lacking. This paper argues that social licence has not been achieved globally, because oil and gas companies have failed to respond directly and appropriately to the concerns of all stakeholders. We argue that while international oil and gas companies have largely been successful in achieving and communicating the benefits they bring at a local level, in terms of royalties, local community investment, jobs and even in environmental credentials, they have not achieved social licence because it is no longer granted by only local communities. It extends to a potentially more powerful group of largely urban dwelling broader society, enabled by technology, especially social media. A new way of communicating and operating is required if oil and gas companies want to avoid the loss of social licence in future. This article contends three distinct opportunities to strengthen social licence in today’s context: 1. Understand and use social media to proactively address the concerns of all of your stakeholders. This includes responding to societal and global issues, which no longer centre on the ‘jobs, taxes and philanthropy’ dialogue that has been the mainstay of oil and gas industry communications; 2. Stress the role gas has as an enabler of renewable energy development and penetration; and 3. Review your investment strategy in light of the scientific reality of climate change. To gain social licence in future, action will be required to follow the lead of some fossil fuel majors who have already moved to build a new world, decarbonised portfolio of the future.


2018 ◽  
Vol 58 (2) ◽  
pp. 739 ◽  
Author(s):  
Robin Polson

At the APPEA 2017 Conference in Perth, Bernadette Cullinane and Susan Gourvenec drew our attention to the looming challenge for Australia’s oil and gas industry in decommissioning its aging assets (Cullinane and Gourvenec 2017). While Cullinane and Gourvenec’s paper focussed on the experience challenge for the Australian industry, this paper will drill down to explore the funding and financial challenges and opportunities for decommissioning in the decades ahead. In approaching the decommissioning of their assets, oil and gas companies must consider a broad range of stakeholders, beyond their immediate shareholders and board members. As we have seen in the development of new projects, Australian Government, environmental organisations and community groups, all have increasingly significant impact. These stakeholders have been considered and managed with (at best) varying degrees of effectiveness in the recent past. This impact will continue to grow for decommissioning of existing assets. However, right now, with few decommissioning projects in play, the industry has a limited window of opportunity to set the agenda for how, when and under what kind of funding arrangements and financial structures decommissioning can take place. By getting ahead of the game and establishing best practices from the outset, the industry can demonstrate to Australian Government, environmental organisations and community groups a level of commitment and accountability that will allow us to move ahead on decommissioning, with reduced outside interference. The window of opportunity is closing. The time to act is now.


2016 ◽  
Vol 56 (2) ◽  
pp. 585
Author(s):  
Christopher Coldrick ◽  
Rowan Fenn ◽  
David Sahota

Maintenance, repair and operating (MRO) materials typically represent 15–20% of the operating costs for a mature oil and gas asset. Of this, a substantial proportion is comprised of high-value repairable equipment such as motors, compressors and pumps. This equipment is often at bottlenecks in the production process and so the impact of materials cost on profitability is magnified by the production ramifications of an outage. Effective management of this equipment is key to the sustainable, profitable operation of any oil and gas asset, and is key to improving the competitiveness of the Australian industry. Oil and gas companies are adopting a variety of models to handle the repair process, with varying degrees of success. Challenges include: poor materials availability and lack of traceability; complex infield materials management processes resulting in costly wastages; difficulty in managing consistency, suitability and specifications of repairs; high cost for those undertaking the repairs; and, correct allocation of responsibility and risk in the materials management process. Developed in collaboration with Australian oil and gas operators, with input from case studies outside the oil and gas industry, this extended abstract discusses the roles and opportunities for the circular economy in helping companies to meet their sustainability and profitability targets. Using several real-life examples, it makes recommendations for vendors, service providers and operators that can have material impact on the profitability of the industry.


2020 ◽  
Vol 17 (2) ◽  
pp. 893-901
Author(s):  
Naqiyatul Amirah Mohd Said ◽  
Nur Emma Mustaffa ◽  
Hamizah Liyana Tajul Ariffin

Engineering, Procurement, and Construction Contract is a project delivery method in the oil and gas industry. However, the complexity of Engineering, Procurement and Construction projects inevitably leads to issues of project management, risk and technical to occur. Therefore, oil and gas players demand a course of action in minimizing the issues arise in this project. Digitalization in the oil and gas trade indeed offers benefits in the upstream value chain of exploration, development, and production, which Engineering, Procurement and Construction projects take place. Oil and gas companies had been focusing too much on digitizing technical work until the non-technical aspect has been abandoned. Therefore, this study presents and discusses the issues in Engineering, Procurement and Construction contract specifically in the Malaysian oil and gas industry. This is a descriptive study and the methodology used is essentially based on the review of the literature in relation to Engineering, Procurement and Construction contract and the findings of a pilot study in relation to Engineering, Procurement and Construction contract and cloud computing. The analysis revealed that the characteristics of cloud computing in relation to the adoption of Engineering, Procurement and Construction contract helps in empowering collaboration among stakeholders, allow oil and gas companies work highly automated, improve the performance of upstream oil and gas industry, improve speed and minimize financial risks, delayed in schedule as well as improving the quality of the project.


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