Phase predictions using geochemical data

    公开(公告)号:US10416349B2

    公开(公告)日:2019-09-17

    申请号:US15263501

    申请日:2016-09-13

    Abstract: Methods for developing equation-of-states (EOS) composition models for predicting petroleum reservoir fluid behavior and understanding fluid heterogeneity in unconventional shale plays are described. In particular, limited geochemical data from samples taken from the reservoir of interested are utilized to build and tune the EOS model and improve predictions. Real-time applications are also described.

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