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公开(公告)号:US20170075028A1
公开(公告)日:2017-03-16
申请号:US15263501
申请日:2016-09-13
Applicant: CONOCOPHILLIPS COMPANY
Inventor: Vishal BANG , Olufemi A. JOKANOLA
CPC classification number: G01V99/00 , G01N33/2823 , G01V9/007
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.
Abstract translation: 描述了用于预测石油储层流体行为和理解非常规页岩作用中的流体异质性的状态方程(EOS)组合模型的方法。 特别地,利用从感兴趣的水库获取的样本的有限地球化学数据来构建和调整EOS模型并改进预测。 还描述了实时应用程序。