Production performance analysis of shale gas reservoirs
Production performance analysis of shale gas reservoirs
Prediction of production performance in shale gas reservoirs can be achieved through a number of techniques designed to produce information about the estimated ultimate recovery and also about the reservoir parameters such as permeability, skin and fracture properties. These methods sometimes involve obtaining well production data and making future predictions from them. This chapter looks at some of the analytical and semi-analytical models for production performance calculations associated with shale gas reservoirs. The techniques discussed in this chapter include decline curve analysis, pressure transient analysis and rate transient analysis.
61-84
Gholinezhad, Jebraeel
79d96efe-2057-4b95-8be1-4d83162c937a
Fianu, John Senam
18396909-6a3d-4b3c-807d-9388d15bbb54
Hassan, Mohamed Galal
ce323212-f178-4d72-85cf-23cd30605cd8
2018
Gholinezhad, Jebraeel
79d96efe-2057-4b95-8be1-4d83162c937a
Fianu, John Senam
18396909-6a3d-4b3c-807d-9388d15bbb54
Hassan, Mohamed Galal
ce323212-f178-4d72-85cf-23cd30605cd8
Gholinezhad, Jebraeel, Fianu, John Senam and Hassan, Mohamed Galal
(2018)
Production performance analysis of shale gas reservoirs.
In,
Challenges in Modelling and Simulation of Shale Gas Reservoirs.
(SpringerBriefs in Petroleum Geoscience & Engineering)
UK.
Springer, .
(doi:10.1007/978-3-319-70769-3_4).
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Book Section
Abstract
Prediction of production performance in shale gas reservoirs can be achieved through a number of techniques designed to produce information about the estimated ultimate recovery and also about the reservoir parameters such as permeability, skin and fracture properties. These methods sometimes involve obtaining well production data and making future predictions from them. This chapter looks at some of the analytical and semi-analytical models for production performance calculations associated with shale gas reservoirs. The techniques discussed in this chapter include decline curve analysis, pressure transient analysis and rate transient analysis.
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e-pub ahead of print date: 28 December 2017
Published date: 2018
Identifiers
Local EPrints ID: 438255
URI: http://eprints.soton.ac.uk/id/eprint/438255
ISSN: 2509-3126
PURE UUID: f557bafa-7547-45ae-bb0c-cddf885a178a
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Date deposited: 04 Mar 2020 17:32
Last modified: 17 Mar 2024 04:00
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Author:
Jebraeel Gholinezhad
Author:
John Senam Fianu
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