Pvt Property Correlations: Selection And Estimation

Paperback | October 1, 2017

byAhmed Alzahabi, Ahmed El-banbi, Ahmad Al-maraghi

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In reservoir engineering, accurate determination of PVT properties is one of the most critical decisions in reservoir performance and forecasting, and selecting data correlations with lab and field trials has proven to be an effective method for reservoir modelling. However, finding the right correlation is very time consuming and expensive, engineers today lack the proper tools for correlation assessment, and older production fields are much more limited on available data. Selection of PVT Property Correlation for Reservoir Engineers fills the gap to help 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 fluid, including recent techniques using neural networks. Complimentary to the book is additional software to download containing an expert system that checks the input reservoir parameters for selecting the most appropriate correlation and a PVT calculator to predict all the oil properties over a wide range of input data. The PVT calculator and expert system software can be incorporated in reservoir simulators and will be a breakthrough in PVT calculations. Selection of PVT Property Correlation for Reservoir Engineers shows the importance of PVT data and correlations so today's reservoir engineers can produce and model stronger and more reliant assets. Understand the importance of selecting the most appropriate values for PVT data and correlations without PVT experimental results Become equipped with a comprehensive list of all applicable ranges of PVT correlations, including gas condensate and volatile oil Apply practicality with an entire chapter devoted to a variety of reservoir problems and calculation examples

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From the Publisher

In reservoir engineering, accurate determination of PVT properties is one of the most critical decisions in reservoir performance and forecasting, and selecting data correlations with lab and field trials has proven to be an effective method for reservoir modelling. However, finding the right correlation is very time consuming and expe...

Ahmed Alzahabi is currently Professor at Texas Tech University and Research Fellow with the Petroleum Engineering Department. He teaches reservoir engineering, shale reservoirs, multi-stage hydraulic fracturing modeling, and optimum horizontal well placement in unconventional reservoirs. Previously, he has taught multiple short courses...
Format:PaperbackDimensions:265 pages, 8.75 × 6.35 × 0.68 inPublished:October 1, 2017Publisher:Gulf Professional PublishingLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0128125721

ISBN - 13:9780128125724

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Table of Contents

1. Introduction to PVT Correlations and their Applications 2. The PVT Properties review of black-oil, volatile oils, wet gasses, dry gases, gas condensate and formation water correlations 3. PVT Models: black-oil, modified black oil (MBO), and compositional 4. PVT Properties correlations for black oils, volatile oils, gas condensates, wet gases, dry gases, and formation water 5. Neural Network Approaches for deriving PVT Properties 6. Expert System Approaches to derive PVT Properties 7. Applications of the Expert System from Petroleum Engineering Examples and Calculations