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    Feature-Oriented Joint Time-Lapse Seismic and Electromagnetic History Matching Using Ensemble Methods

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    Type
    Article
    Authors
    Zhang, Yanhui cc
    Hoteit, Ibrahim cc
    KAUST Department
    Earth Fluid Modeling and Prediction Group
    Earth Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2020-10-05
    Online Publication Date
    2020-10-05
    Print Publication Date
    2021-06-16
    Submitted Date
    2020-01-17
    Permanent link to this record
    http://hdl.handle.net/10754/667587
    
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    Abstract
    We propose a feature-oriented ensemble history-matching workflow with a focus on the integration of time-lapse seismic and electromagnetic (EM) data. The developed workflow consists of two main steps. First, the rock cross-properties, such as water saturation and porosity relating to both seismic and EM attributes, are estimated by joint inversion of seismic and EM data using an iterative ensemble smoother (ES). Second, the remaining model parameters of interest, such as permeability, are calibrated using the updated crossproperties. To assimilate the inverted-saturation information efficiently, we take a feature-oriented integration approach in which front positions are identified from the inverted-saturation field. Related model parameters are then conditioned to the interpreted fronts using the iterative ES with a distance parameterization. The novelty of the proposed approach consists of combining the feature-oriented history matching with ensemble-based geophysical inversion to achieve an efficient joint integration of multiple sources of geophysical data. The performance of the proposed history-matching workflow is examined using a 2D channelized reservoir model and a morerealistic 3D reservoir model with a crosswell configuration for seismic and EM surveys. It is demonstrated that the developed workflow provides a novel and effective way to calibrate reservoir models with multiple sources of geophysical data. The experimental results show a positive synergy effect on the characterization of model variables by jointly assimilating seismic and EM data.
    Citation
    Zhang, Y., & Hoteit, I. (2020). Feature-Oriented Joint Time-Lapse Seismic and Electromagnetic History Matching Using Ensemble Methods. SPE Journal. doi:10.2118/203847-pa
    Sponsors
    Support for authors is provided by the research project “Efficient Integration of Electromagnetic Tomography into Reservoir History Matching” which is funded by Saudi Aramco. The authors also thank Femke C. Vossepoel, Wim Mulder, and Marwan Wirianto for providing the multigrid EM forward solver.
    Publisher
    Society of Petroleum Engineers (SPE)
    Journal
    SPE Journal
    DOI
    10.2118/203847-pa
    Additional Links
    https://onepetro.org/SJ/article/doi/10.2118/203847-PA/453852/Feature-Oriented-Joint-Time-Lapse-Seismic-and
    ae974a485f413a2113503eed53cd6c53
    10.2118/203847-pa
    Scopus Count
    Collections
    Articles; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program

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