PVT Property Correlations: Selection and Estimation

PVT Property Correlation: Selection and Estimation helps engineers target their correlations based on an expert system. This reference presents several techniques that will allow engineers to select the best PVT correlation, especially when encountering limited reservoir fluid data and conditions. Tested against a large database, these techniques cover different types of fluids, including recent techniques using neural networks. Complimentary software that checks the input reservoir parameters for selecting the most appropriate correlation and a PVT calculator to predict oil properties over a wide range of input data is included.

In reservoir engineering, accurate determination of PVT properties is one of the most critical decisions in reservoir performance and forecasting. However, finding the right correlation is very time consuming and expensive, and today's engineers lack the proper tools for correlation assessment.

This book demonstrates the importance of PVT data and correlations so that today’s reservoir engineers can produce and model stronger and more reliant assets.

Covers the importance of selecting the most appropriate values for PVT data and correlations without PVT experimental resultsProvides a a comprehensive list of all applicable ranges of PVT correlations, including gas condensate and volatile oilTeaches users how to apply practicality with an entire chapter devoted to a variety of reservoir problems and calculation examples

1. Introduction 2. Reservoir-Fluid Classification 3. Dry Gases 4. Wet Gases 5. Gas Condensates 6. Volatile Oil 7. Black Oils 8. Low Gas-Oil Ratio Oils 9. Selection of PVT Correlations 10. Artificial Neural Network Models for PVT Properties

Appendix A: Oil Correlations Formula B: Gas Correlations Formula C: Oil Correlations Range of Applicability D: Gas Correlations Range of Applicability E: Artificial Neural Network (ANN) Models Rnage of Applicability F: Worksheets for Oil PVT Correlations Selection