Reservoir model estimation by simultaneous optimization of multiple objective functions

M. Emami Niri, David Lumley

    Research output: Chapter in Book/Conference paperConference paper

    Abstract

    We present a new approach for estimating reservoir models consistent with multiple data types and constraints, by combining geostatistical simulation with a multi-objective stochastic optimization method. Our approach starts by generating an ensemble of initial reservoir models using geostatistical simulation techniques. We then compute the corresponding model responses (seismic etc.) using the appropriate forward modeling operators, compare the simulated responses with the real data, and iterate to obtain the best match. Since each geological and geophysical data set has its own strengths and weaknesses, realistic models are best obtained by simultaneously matching all of the multiple data constraints. The main advantage of our approach is that we can define multiple objective functions for a variety of data types and constraints, and simultaneously minimize the mismatches. Using our approach, the resulting models converge to a Pareto front, which represents the set of best compromise model solutions for the defined objectives. We test our new approach on a 3D object-oriented reservoir model, where variogram-based simulation techniques typically fail to reproduce realistic models. Our results indicate that improved reservoir property models and flow-unit connectivity can be obtained with this new multi-objective optimization approach.
    Original languageEnglish
    Title of host publication76th European Association of Geoscientists and Engineers Conference and Exhibition 2014: Experience the Energy
    Place of PublicationAmsterdam, Netherlands
    PublisherEuropean Association of Geoscientists and Engineers
    Pages817-821
    Volume1 of 6
    ISBN (Print)9781632666949
    Publication statusPublished - 2014
    Event76th European Association of Geoscientists and Engineers Conference and Exhibition - Amsterdam, Netherlands
    Duration: 16 Jun 201419 Jun 2014

    Conference

    Conference76th European Association of Geoscientists and Engineers Conference and Exhibition
    CountryNetherlands
    CityAmsterdam
    Period16/06/1419/06/14

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    Cite this

    Emami Niri, M., & Lumley, D. (2014). Reservoir model estimation by simultaneous optimization of multiple objective functions. In 76th European Association of Geoscientists and Engineers Conference and Exhibition 2014: Experience the Energy (Vol. 1 of 6, pp. 817-821). Amsterdam, Netherlands: European Association of Geoscientists and Engineers.