Developing Petroleum Engineering Young Technical Professionals in Shell Nigeria - The Well Site Petroleum Engineer Model

2011 ◽  
Author(s):  
Sophia Ebitu
2010 ◽  
Vol 50 (1) ◽  
pp. 309
Author(s):  
Lisa Smith ◽  
Brian Evans

The Department of Petroleum Engineering at Curtin University had its inception in 1998. For the last 10 years, it lectured the Masters in petroleum engineering course to local Australian and international students, graduating more than 200 students. The rapid increase in the price of oil during 2006/7 saw a sudden and substantial growth in industry employment opportunities, which resulted in the department losing over half of its staff to industry. At the same time, the supply of local students reduced to less than 10% of those taking the course. This loss in both student numbers and staff at the same time threatened the department’s future, and resulted in the need for a new focus to return the department to stability. A number of new initiatives were introduced, which included: bringing industry into the decision-making processes; introducing a new two-year Masters program to assist high quality migrant students obtain Australian permanent residency; increasing the advertising of petroleum engineering as a career option to schools and industry; linking with UNSW, UWA and Adelaide universities to establish a joint Masters program; introducing a new Bachelor’s degree in petroleum engineering; changing the block form of teaching to a semester-based form; and having the Commonwealth recognise the new Masters program for Commonwealth funding of Australian students as a priority pathway to a career as a petroleum engineer while the Bachelors program gathered momentum. This paper maps the positive changes made during 2008/9, which led to a 100% increase in student numbers, a 50% increase in staff to stabilise teaching, a 400% increase in active PhD students, and industry projects to deliver an increasing stream of high quality, industry-ready, graduate petroleum engineers over the next 10–20 years into the current ageing population where the average age of a petroleum engineer is 51.


1995 ◽  
Vol 52 (2) ◽  
pp. 211-226
Author(s):  
Pamela Murray

Despite its vital role in Latin America's ongoing struggle for economic development, Latin-American scientific and technical education remains a neglected topic among historians. Authors also tend to view it in simplistic terms. While some have seen scientific and technical institutes as agents of Latin America's “dependency” on the North Atlantic world, others have seen them as vehicles of Progress, or have stressed the way in which graduates (scientists and technical professionals) have acted as “anti-dependency guerillas.” Evidence from Colombia, however, confounds any simple view. The founding of the country's first program for geological and petroleum engineers at the National School of Mines in Medellín reflected nationalistic desires to increase Colombian control over the oil industry and subsoil resources in general. Yet, Colombia's national energy policies have not led to state control of the industry as in the case of other major oil-producing countries, i.e., Mexico. What explains this apparent gap between desires and deeds? The following essay seeks an answer by tracing the origins of the geological and petroleum engineering program as well as the ideas and activities of graduates who have been directly involved in developing their country's oil and other resources. Above all, it highlights Colombians' pragmatic approach to development concerns.


2017 ◽  
Vol 9 (4) ◽  
pp. 62
Author(s):  
Elizabeth Chacon B. ◽  
Jorge A. Briones Carrillo ◽  
Carlos G. Aguilar-Madera ◽  
Nelson E. Barros-Galvis ◽  
Sóstenes Méndez-Delgado

More than ever, it is the time to increase the number of engineering students applying to geosciences in order to satisfy the growing national challenges and administrate our natural resources in a responsible and sustainable manner. This work analyzes the petroleum engineer career at the UANL through an 8-yr experience in order to critically evaluate the current academic profile that Petroleum Engineers need within a global and shared world.  This brief appraisal also presents an updated revision of all certified academic programs offering the Petroleum Engineering career in Mexico. At the same time, this work also proposes a modest but realistic academic modality for this particular career to better fulfill the actual academic and industrial demands on this area. Adjusting the academic geoscience workforce implies a redefinition of curricular programs, values and competences for this career in a synergic action with government policies and public and private employees worldwide. Certainly, the change should be the driving force to design modern up-to-date professional profiles and better oil professionals with a global perspective to take on alternative development. 


Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1055
Author(s):  
Qian Sun ◽  
William Ampomah ◽  
Junyu You ◽  
Martha Cather ◽  
Robert Balch

Machine-learning technologies have exhibited robust competences in solving many petroleum engineering problems. The accurate predictivity and fast computational speed enable a large volume of time-consuming engineering processes such as history-matching and field development optimization. The Southwest Regional Partnership on Carbon Sequestration (SWP) project desires rigorous history-matching and multi-objective optimization processes, which fits the superiorities of the machine-learning approaches. Although the machine-learning proxy models are trained and validated before imposing to solve practical problems, the error margin would essentially introduce uncertainties to the results. In this paper, a hybrid numerical machine-learning workflow solving various optimization problems is presented. By coupling the expert machine-learning proxies with a global optimizer, the workflow successfully solves the history-matching and CO2 water alternative gas (WAG) design problem with low computational overheads. The history-matching work considers the heterogeneities of multiphase relative characteristics, and the CO2-WAG injection design takes multiple techno-economic objective functions into accounts. This work trained an expert response surface, a support vector machine, and a multi-layer neural network as proxy models to effectively learn the high-dimensional nonlinear data structure. The proposed workflow suggests revisiting the high-fidelity numerical simulator for validation purposes. The experience gained from this work would provide valuable guiding insights to similar CO2 enhanced oil recovery (EOR) projects.


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