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Integrated modeling of reservoir fluid properties and multiphase flow in offshore production systems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Integrated modeling of reservoir fluid properties and multiphase flow in offshore production systemsby Tobias R. Gessner, Jader R. Barbosa Jr.
作者:	Gessner, Tobias R.
其他作者:	Barbosa, Jader R.
出版者:	Cham :Springer International Publishing :2023.
面頁冊數:	xvii, 284 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Petroleum in submerged lands.
電子資源:	https://doi.org/10.1007/978-3-031-39850-6
ISBN:	9783031398506$q(electronic bk.)

Integrated modeling of reservoir fluid properties and multiphase flow in offshore production systems
Gessner, Tobias R.

Integrated modeling of reservoir fluid properties and multiphase flow in offshore production systems[electronic resource] /by Tobias R. Gessner, Jader R. Barbosa Jr. - Cham :Springer International Publishing :2023. - xvii, 284 p. :ill. (some col.), digital ;24 cm. - Petroleum engineering,2366-2654. - Petroleum engineering..

Chapter 1. Introduction -- Chapter 2. Thermodynamics of petroleum mixtures -- Chapter 3. Developing a fluid model -- Chapter 4. Fluid flow in oil production systems -- Chapter 5. Simulation of offshore production systems -- Chapter 6. Improving the fluid flow model -- Chapter 7. Concluding remarks -- Appendix.

The book is intended for practicing engineers in the oil industry, researchers, and graduate students interested in designing and simulating offshore hydrocarbon production systems. It approaches offshore oil production systems from an integrated perspective that combines the modeling of thermophysical properties of reservoir fluids and their flow as a multiphase mixture in wellbores, flow lines, and risers. The first part of the book presents an internally consistent method to compute the critical parameters and acentric factor of Single Carbon Number (SCN) fractions of petroleum mixtures using state-of-the-art multivariate fitting techniques. The procedure is illustrated and validated using flash and differential liberation data from actual field samples. In the second part of the book, mechanistic multiphase flow models are discussed in light of their ability to predict the pressure, temperature, and phase holdup of production fluids in wellbores, flow lines, and risers. Multivariate fitting procedures are again applied to evaluate the sensitivity of the results with respect to closure relationship parameters, such as slug body gas holdup, wall shear stress, and wall roughness in pipelines and production tubing. Finally, the modeling framework is validated using actual field data from offshore production wells.

ISBN: 9783031398506$q(electronic bk.)

Standard No.: 10.1007/978-3-031-39850-6doiSubjects--Topical Terms:

723222
Petroleum in submerged lands.

LC Class. No.: TN871.3

Dewey Class. No.: 622.33827

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505 0 $a Chapter 1. Introduction -- Chapter 2. Thermodynamics of petroleum mixtures -- Chapter 3. Developing a fluid model -- Chapter 4. Fluid flow in oil production systems -- Chapter 5. Simulation of offshore production systems -- Chapter 6. Improving the fluid flow model -- Chapter 7. Concluding remarks -- Appendix.
520 $a The book is intended for practicing engineers in the oil industry, researchers, and graduate students interested in designing and simulating offshore hydrocarbon production systems. It approaches offshore oil production systems from an integrated perspective that combines the modeling of thermophysical properties of reservoir fluids and their flow as a multiphase mixture in wellbores, flow lines, and risers. The first part of the book presents an internally consistent method to compute the critical parameters and acentric factor of Single Carbon Number (SCN) fractions of petroleum mixtures using state-of-the-art multivariate fitting techniques. The procedure is illustrated and validated using flash and differential liberation data from actual field samples. In the second part of the book, mechanistic multiphase flow models are discussed in light of their ability to predict the pressure, temperature, and phase holdup of production fluids in wellbores, flow lines, and risers. Multivariate fitting procedures are again applied to evaluate the sensitivity of the results with respect to closure relationship parameters, such as slug body gas holdup, wall shear stress, and wall roughness in pipelines and production tubing. Finally, the modeling framework is validated using actual field data from offshore production wells.
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