The petroleum industry in Nigeria contributes a huge percentage to the national revenue of the country, to the extent that budgets are being passed based on the oil price dynamics. With the importance the petroleum sector has attained in Nigeria, it is expected that the country's pedagogy will reflect the value it contributes to the national table. However, reviews, surveys, and works of literature have shown otherwise. As a result, this study emphasizes the importance of petroleum engineering pedagogy in-country as an oil-producing country, the university curriculum of petroleum engineering in Nigeria was also examined (with a particular focus on the impact of poor curriculum on national development), and the dynamics between the university, industry and government were critically discussed and recommended practices for improving petroleum engineering pedagogy were made. This study targets national development and control over its own resources through a knowledge economy and seamless dynamics of information within the oil and gas industry. The Nigerian government, through the Federal Ministry of Education, is further expected to capitalize on the outcomes of this research for curriculum review of petroleum engineering and related courses offered in-country to foster sustainability in a competing global society.

The oil and gas industry is governed by policies with the aim of smoothening the business relationship between the Government, the International Oil Companies (IOC’s) and the Host communities. Different oil producing countries have their own laws governing petroleum activities and these laws vary from country to country based on the B-PEST factors which are Biological, Political, Environmental, Social and Technology. However, reserve size and oil type can also influence petroleum laws. Countries like Nigeria relies strongly on petroleum bills such as the PIB in which this research will be analyzing the Production Sharing Contract (PSC) which is a significant subset of the PIB. Comparison between the existing PSC of Malaysia and that of Nigeria was captured in this research and the analysis of the PSC was done based on the Government Take, National Oil Company (NOC) and the Contractor’s benefits. 26.67% and 56.58% recovery cost, 28.67% and 26.28% Government revenue, 23.14% and 7.64% NOC share, 21.52% and 9.50% Contractor share of revenue per barrel was arrived at for Malaysia and Nigeria respectively, showing that the Malaysian PSC model yields more income to the country when compared to that of Nigeria without necessarily short-changing the contractors or the IOCs. Finally, the reasons behind these deficits were highlighted and recommendations made to improve the PSC and benefits for all parties to the contractual agreements.

Control and management of corrosion have always been the concern of oil and gas asset management teams due to the challenging outcomes of failed facilities in service due to corrosion. Corrosion has an impact on human safety, environmental safety, and productivity; thus, it is important to know how corrosive an environment is in order to make the best investment decisions for facilities that are prone to corrosion. There are various ways of identifying environmental corrosivity, but there is no distinct map or relation with combined soil pH and resistivity impact unique to an environment that suggests the corrosion severity of such an environment, which could be due to the complexities of variables involved in defining the extent of corrosivity. This research aims to create a corrosion map using the MATLAB computing environment for Rivers State, a mega oil-producing state in the Niger Delta, based on soil resistivity and pH across different parts of the state with ongoing oil and gas activities for the purpose of a quick look decision-making guide. To determine corrosivity, such a map should only need to identify the soil resistivity and pH of a certain site. The pilot test conducted using 40-point soil pH and resistivity data suggested that it is feasible to develop a unique corrosivity map for a region since the result showed an R-square value of 70.03%. However, possible constraints of the mapping process were discussed, as well as suggestions for a wider survey and improvement.