logo
Product categories

EbookNice.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link.  https://ebooknice.com/page/post?id=faq


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookNice Team

(Ebook) Inverse Theory for Petroleum Reservoir Characterization and History Matching by Dean S. Oliver, Albert C. Reynolds, Ning Liu ISBN 9780511535642, 9780521881517, 0511535643, 052188151X

  • SKU: EBN-1401706
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

4.7

5 reviews
Instant download (eBook) Inverse Theory for Petroleum Reservoir Characterization and History Matching after payment.
Authors:Dean S. Oliver, Albert C. Reynolds, Ning Liu
Pages:394 pages.
Year:2008
Editon:1
Publisher:Cambridge University Press
Language:english
File Size:6.97 MB
Format:pdf
ISBNS:9780511535642, 9780521881517, 0511535643, 052188151X
Categories: Ebooks

Product desciption

(Ebook) Inverse Theory for Petroleum Reservoir Characterization and History Matching by Dean S. Oliver, Albert C. Reynolds, Ning Liu ISBN 9780511535642, 9780521881517, 0511535643, 052188151X

This book is a guide to the use of inverse theory for estimation and conditional simulation of flow and transport parameters in porous media. It describes the theory and practice of estimating properties of underground petroleum reservoirs from measurements of flow in wells, and it explains how to characterize the uncertainty in such estimates. Early chapters present the reader with the necessary background in inverse theory, probability and spatial statistics. The book demonstrates how to calculate sensitivity coefficients and the linearized relationship between models and production data. It also shows how to develop iterative methods for generating estimates and conditional realizations. The text is written for researchers and graduates in petroleum engineering and groundwater hydrology and can be used as a textbook for advanced courses on inverse theory in petroleum engineering. It includes many worked examples to demonstrate the methodologies and a selection of exercises.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products