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: Mr Akhil Datta-Gupta (Texas A&M University)
This course is designed to cover introductory and advanced concepts in streamline simulation and its applications for reservoir characterization, reservoir management and field development strategy. Specific topics covered will be: (i) Streamline Simulation: Background and Fundamentals (ii)Streamline Simulation: State-of-the-art and Applications (iii) Field Case Studies and Experience.
Instructor: Prof. Shiyi Zheng (London South Bank University)
This course on well test analysis will provide attendees basic knowledge on the subject. The course will start with a review of an oil field life from exploration, appraisal, development and abandonment to define the role of well testing. The history and clear definition of the subject will also be given as the summary of this introduction. The course will cover classic, modern and numerical well testing concepts and techniques.
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.
Instructors: Dr Mark Bentley (AGR TRACS International) and Dr Richard Oxlade (AGR TRACS International)
The quantification of risk and uncertainty is often discussed in the context of exploration and appraisal, yet most of the upstream E&P business concerns decision-making in producing assets. This short course will therefore deal specifically with risk and uncertainty-handling in producing fields, the principal differences with E&A being the need to integrate production data in a practical way and the need to address the progressively changing questions that the production environment poses. Strategies for dealing with uncertainty are proposed under the generic headings of People, Tools and Team Approach, as effective uncertainty-handling involves finding practical team-based methodologies in addition to achieving a robust understanding of the underlying statistics and the available modelling tools.
Instructor: Prof. Dr Theo Kortekaas (Shell)
With the currently available computing power it is now possible to model both highly complex geological environments and highly complex hydrocarbon recovery mechanisms. In view of the enormous amount of data in reservoir simulation models there is an increasing tendency to have an unlimited belief in model predictions and omit the necessary quality checks on fundamentals.