Short Course Catalogue - Engineering
Instructor: Dr Ali Shafiei (Nazarbayev University)
In this course, an overview of heavy oil, extra heavy oil, and bitumen resource development including its genesis, physical and chemical properties, resources, reserves, geographical distribution, production, transport, upgrading, refining, future technology developments, carbon footprint, and environmental impacts is provided.
Instructor: Mr Saad Ibrahim (Petro Management Group Ltd.)
This course is designed to provide non-engineering petroleum industry staff with a thorough overview of most key aspects of petroleum engineering/technology and its applications. The main objective of the course to enhance the awareness of the support and non-technical staff of the tasks performed by the Petroleum Engineers to improve team efforts which will reflect of the bottom line results. The course addresses engineering issues ranging from initial involvement with exploration, reserves evaluation, field development, production optimization, all the aspects of well drilling, and well/field decommissioning. The sessions will focus on relevant and practical issues; including, real case studies.
Instructor: Victor Alexei Huerta Quiñones (Universidad Nacional de Ingeniería, Peru)
This course allows an in-depth look at the framework, classifications, categorization and applications of SPE’s Petroleum Resources Management System (PRMS). Participants will gain a solid understanding of this valuable resources management tool, including insight into the latest updated version (PRMS 2018), as well as, the use of some indicators to reserves management.
In addition, this course will provide training in production forecasting and reserves estimation for conventional and unconventional reservoirs, by diverse methods such as field and reservoir analogy, volumetric estimations, material balance equation and rapidly applied decline models favored by the industry for routine forecasting. Recommended methodology will be based on the resolution of some case studies with different modeling techniques, under a deterministic and probabilistic approach. At the end, the course will review some insights of how to evaluate Oil & Gas assets with some recommendations for a better decision-making.
Instructor: Prof.Yucel Akkutlu (Texas A&M University)
This course introduces the unconventional oil and gas resources to the geoscientists and reservoir engineers. The emphasis is on the organic-rich source rocks, in particular resource shale. Discussions include hydrocarbon fluids storage, phase-change, and transport for reservoir evaluation. Hydrocarbon in-place calculations are modified and a new method is introduced to assess the liquid production potential. Laboratory-techniques are discussed for the characterization of unconventional formations. Transient flow regimes associated with horizontal wells are introduced, and wells production data analyzed using various analytical and simulation methods. Case studies are introduced to discuss the field development including economic and environmental considerations.
Instructor: Prof. Peter King (Imperial College London)
The course will give an introduction into many of the concepts behind uncertainty in reservoir modelling. It will start with a description of the origins of uncertainty with a mixture of heuristic treatments and more formal mathematical approaches. It will then develop the appropriate mathematical ideas and tools for estimating uncertainty in practical reservoir modelling.
Instructor: Prof. Jo Eidsvik (Norwegian University of Science and Technology)
We constantly use information to make decisions about utilizing and managing natural resources. How can we quantitatively analyze and evaluate different information sources in the Earth sciences? What is the value of data and how much data is enough?
The course covers multidisciplinary concepts required for conducting value of information analysis in the Earth sciences.
Participants will gain an understanding for the integration of spatial statistical modeling, geomodeling and decision analysis for evaluating information gathering schemes. The value of information is computed before purchasing data. It is used to check if data is worth its price, and for comparing various experiments.