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    Using crosswell data to enhance history matching

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    Type
    Conference Paper
    Authors
    Ravanelli, Fabio M.
    Hoteit, Ibrahim cc
    KAUST Department
    Earth Fluid Modeling and Prediction Group
    Earth Science and Engineering Program
    Environmental Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2014-04-02
    Online Publication Date
    2014-04-02
    Print Publication Date
    2014
    Permanent link to this record
    http://hdl.handle.net/10754/564863
    
    Metadata
    Show full item record
    Abstract
    One of the most challenging tasks in the oil industry is the production of reliable reservoir forecast models. Due to different sources of uncertainties in the numerical models and inputs, reservoir simulations are often only crude approximations of the reality. This problem is mitigated by conditioning the model with data through data assimilation, a process known in the oil industry as history matching. Several recent advances are being used to improve history matching reliability, notably the use of time-lapse data and advanced data assimilation techniques. One of the most promising data assimilation techniques employed in the industry is the ensemble Kalman filter (EnKF) because of its ability to deal with non-linear models at reasonable computational cost. In this paper we study the use of crosswell seismic data as an alternative to 4D seismic surveys in areas where it is not possible to re-shoot seismic. A synthetic reservoir model is used in a history matching study designed better estimate porosity and permeability distributions and improve the quality of the model to predict future field performance. This study is divided in three parts: First the use of production data only is evaluated (baseline for benchmark). Second the benefits of using production and 4D seismic data are assessed. Finally, a new conceptual idea is proposed to obtain time-lapse information for history matching. The use of crosswell time-lapse seismic tomography to map velocities in the interwell region is demonstrated as a potential tool to ensure survey reproducibility and low acquisition cost when compared with full scale surface surveys. Our numerical simulations show that the proposed method provides promising history matching results leading to similar estimation error reductions when compared with conventional history matched surface seismic data.
    Citation
    Ravanelli, F., & Hoteit, I. (2014). Using Crosswell Data To Enhance History Matching. SPE Bergen One Day Seminar. doi:10.2118/169230-ms
    Publisher
    Society of Petroleum Engineers (SPE)
    Journal
    SPE Bergen One Day Seminar
    Conference/Event name
    SPE Bergen One Day Seminar 2014
    ISBN
    9781632663191
    DOI
    10.2118/169230-MS
    ae974a485f413a2113503eed53cd6c53
    10.2118/169230-MS
    Scopus Count
    Collections
    Conference Papers; Environmental Science and Engineering Program; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program

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