Sutthaporn Tripoppoom, Wei Yu, Kamy Sepehrnoori, Jijun Miao

Assisted History Matching for Unconventional Reservoirs (eBook, ePUB)

• Format: ePub

Produktbeschreibung

As unconventional reservoir activity grows in demand, reservoir engineers relying on history matching are challenged with this time-consuming task in order to characterize hydraulic fracture and reservoir properties, which are expensive and difficult to obtain. Assisted History Matching for Unconventional Reservoirs delivers a critical tool for today's engineers proposing an Assisted History Matching (AHM) workflow. The AHM workflow has benefits of quantifying uncertainty without bias or being trapped in any local minima and this reference helps the engineer integrate an efficient and non-intrusive model for fractures that work with any commercial simulator. Additional benefits include various applications of field case studies such as the Marcellus shale play and visuals on the advantages and disadvantages of alternative models. Rounding out with additional references for deeper learning, Assisted History Matching for Unconventional Reservoirs gives reservoir engineers a holistic view on how to model today's fractures and unconventional reservoirs.

• Provides understanding on simulations for hydraulic fractures, natural fractures, and shale reservoirs using embedded discrete fracture model (EDFM)
• Reviews automatic and assisted history matching algorithms including visuals on advantages and limitations of each model
• Captures data on uncertainties of fractures and reservoir properties for better probabilistic production forecasting and well placement

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 288
• Erscheinungstermin: 5. August 2021
• Englisch
• ISBN-13: 9780128222430
• Artikelnr.: 62396924

Autorenporträt

Mr. Sutthaporn Tripoppoom received his MS degree in the Hildebrand Department of Petroleum and Geosystems Engineering at The University of Texas at Austin in 2019. Currently, he is reservoir engineer at the Thai national oil and gas company, PTT Exploration and Production Plc. His research interests include development of Assisted History Matching (AHM) for naturally fractured reservoirs, hydraulically fractured reservoirs, and unconventional resources. He was the developer of an AHM workflow for unconventional reservoirs and he also won the first place in SPE Regional Paper Contest (2019). He holds a BS degree in Petroleum Engineering from Chulalongkorn University in Thailand with First Class Honors and the outstanding student certificate. He is a member of SPE.

Inhaltsangabe

1. Introduction
2. Assisted History Matching Workflow
3. Shale Gas Well in Longmaxi with Bi-wing Hydraulic Fractures
4. Shale Gas Well in Marcellus with Bi-wing Hydraulic Fractures
5. Proxy Comparison between Neural Network and K-nearest Neighbors
6. Shale Gas Well with and without Enhanced Permeability Area (EPA)
7. Shale Gas Well with and without Natural Fractures
8. Shale Oil Well with and without Natural Fractures
9. Multi Shale Gas Wells with and without Natural Fractures
10. Shale Oil Well with Slanted Hydraulic Fractures
11. Shale Oil and Shale Gas with Varying Fractures Intensity around Wellbore