This course discusses the topic of reservoir surveillance and management of mature floods using streamlines and streamline-derived metrics. Streamlines define dynamic well patterns, which represent a step-change compared to the static, nearest neighbour patterns of the past. The course will show how to estimate well-allocation factors and derive injector-producer pair efficiencies, which in turn allow for re-alignment of a flood. Material balance on dynamic well-pair volumes permits to estimate the Remaining Oil In Place (ROIP) for infill decisions. This course is about a data-driven, quantitative approach to reservoir management using streamlines.
Course Level: Skill / Advanced Instructor: Marco Thiele
Designed for you, if you are...
A reservoir engineer in charge of managing large mature water, chemical, and/or miscible floods
You should have a basic background in numerical methods and reservoir flow modelling.
How we build your confidence
Hands-on computer exercises with real field data
Review basic streamline flow modelling technology
Provide a clear and unambiguous quantification of patterns and pattern efficiencies
Use pattern metrics to improve field performance by computing 'next month target rates'
Clear explanation and demonstration of how to promote efficient use of injected fluids and reduce fluid cycling
The benefits from attending
By the end of the course you will feel confident in your understanding of:
What constitutes a pattern in a mature flood
How to quantify pattern metrics and how to use them for improving flood performance
Streamline-based flow modelling
Calculating 'next month target rates'
Traditional fixed pattern analysis
Streamline and flow modelling
Estimating pattern efficiencies
Improving flood performance by changing injection and production rates
How to build a streamline surveillance model
Estimating Remaining Oil In Place using material balance on dynamic patterns