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Reservoir Surveillance and Management of Mature Floods Using Streamlines (RES46)

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    Description

    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'

    Topics

    • Traditional fixed pattern analysis
    • Streamline and flow modelling
    • Dynamic patterns
    • 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

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    HOT Engineering GmbH   Tel: +43 3842 43 0 53-0   Fax +43 3842 43 0 53-1   hot@hoteng.com