Page 14 - PVT Property Correlations
P. 14

Foreword






             As a practicing petroleum engineer and educator, hardly a day goes by with-
             out my need for hydrocarbon PVT properties. My initial exposure to hydro-
             carbon properties used rigorous approaches described by chemical engineers.
             Subsequently Dr. Marshall Standing, who developed some of the first corre-
             lations available for practical applications, taught me, and my student collea-
             gues at Stanford University, how to use correlations to estimate hydrocarbon
             fluid properties. Before the existence of personal computers, the high-end
             HP handheld calculator provided programs for engineers to use. The correla-
             tions were much more practical to use than the tedious chemical engineering
             calculations.
                By far the best source for hydrocarbon fluid properties is a representative
             fluid sample from the reservoir. However, when assets change hands, such
             data may be difficult to find, especially for fields that have been on produc-
             tion for many years. Often reports and journal publications also provide only
             limited information on hydrocarbon fluid properties. Existing PVT and fluid
             properties correlations provide engineers with a mechanism to estimate quan-
             tities needed for conceptual, screening, and full field simulation models.
                PVT Property Correlations, Selection and Estimation provides a thorough
             collection of existing correlations for hydrocarbon fluid properties and, more
             importantly, underscores the importance of making accurate fluid property
             estimations and how to select the model that best represents fluid from a
             given reservoir. The emphasis on the types of hydrocarbon reservoirs is espe-
             cially useful for petroleum engineering students. By accompanying the book
             with programmed correlations, students can focus on broader and essential
             uses for accurate fluid property data. Further, the scope of the book will
             serve as a handbook for experienced practitioners.


                                                Dr. Christine Ehlig-Economides
                                                              University of Houston










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