Phase predictions using geochemical data

摘要

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.