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    1. NExT
    2. Petrotechnical
    3. Applied Geostatistics

    Applied Geostatistics

    • Skill
    • 5 Days
    • classroom1Classroom
      • Average client rating (based on 194 attendee reviews)

    Business context: An appreciation of what geostatistics can achieve is now essential in nearly all important aspects of exploration and production: gridding and contouring for making maps, upscaling for reservoir simulation and basin modelling, as well as the analysis of spatially referenced data of all kinds. Without needing to know the details of the algorithms and the mathematics behind them, being able to choose the most appropriate techniques and apply them correctly is fundamental to best practice throughout E&P. Who should attend: Petroleum geologists and other geoscientists preparing data for use in reservoir simulators; engineers involved with exploration and development of oil and gas reservoirs; anyone wishing to gain the best insight into and obtain the most value from their geo-spatial data.

    The course aims to provide knowledge of how to apply the various tools known as geostatistics, using both readily available software and more specialist packages. Learning, methods and tools. The emphasis is on practical application and understanding of context over a consideration of the mathematics. The course includes using software for worked exercises, which give a practical introduction to what is available as well as providing useful tools to take back to the workplace.

    Geoscientists and Engineers

    What is geostatistics and how does it change our appreciation of familiar tasks and tools?

    How geostatistics aids in understanding trends in spatial data-sets:

    o Classical multivariate statistics

    o Conditional distributions

    o Direct simulations

    o Variogram analysis

    o Modelling anisotropy

    Understanding the effects of scale:

    o Heterogeneity and discontinuity

    o Data scale versus modelling scale

    o Upscaling for efficient modelling

    Allowing for spatial trends in gridding & contouring:

    o Honouring data or minimising errors

    o Using kriging to make better maps

    Making use of new data:

    o Bayesian and geo- statistics

    o History matching

    Sequential / Indicator simulation

    Quantifying uncertainty:

    o How geostatistics includes methods for uncertainty quantification

    o Using Monte Carlo and other stochastic simulations

     

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