Short Course Catalogue - Engineering
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. Dr Michael Poppelreiter (University Technology Petronas)
The most universal, comprehensive and concise descriptive documents on oil and gas wells are well logs. They impact the work of almost every oil field group from geologists to roustabouts to bankers. Familiarity with the applications of well logs is therefore essential for people forging their careers in the oil business. The instructor uses a core-based approach to help participants develop a good grounding in understanding and applying well logging techniques. General principles of physics are presented to explain the functioning of modern logging tools. Wherever possible, the physics of logging measurements is related to everyday tools and applications. Cross-plotting and reconnaissance techniques quickly and efficiently discriminate between water, oil and gas. Error minimization techniques, applicable only to computerized log analysis, produce optimal results. Participants benefit from realistic experience by working in teams on a comprehensive log interpretation exercise.
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.
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.