Enhanced oil recovery field planning and development strategies

Enhanced-Oil Recovery (EOR) evaluations focused on asset acquisition or rejuvenation involve a combination of complex decisions, using different data sources. EOR projects have been traditionally associated with high CAPEX and OPEX, as well as high financial risk, which tend to limit the number of E...

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Bibliographic Details
Main Author: Alvarado, V.
Other Authors: Manrique, E.
Format: eBook
Language: English
Published: Burlington, MA : Gulf Professional Pub./Elsevier, ©2010.
Subjects:
Enhanced oil recovery.
elektronické knihy
electronic books
ISBN: 9781856178563
9781856178556
Physical Description: 1 online zdroj (xv, 192 pages) : illustrations, maps

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020 |a 9781856178563  |q (ebook) 
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100 1 |a Alvarado, V.  |q (Vladimir) 
245 1 0 |a Enhanced oil recovery  |h [elektronický zdroj] :  |b field planning and development strategies /  |c Vladimir Alvarado and Eduardo Manrique. 
260 |a Burlington, MA :  |b Gulf Professional Pub./Elsevier,  |c ©2010. 
300 |a 1 online zdroj (xv, 192 pages) :  |b illustrations, maps 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
520 |a Enhanced-Oil Recovery (EOR) evaluations focused on asset acquisition or rejuvenation involve a combination of complex decisions, using different data sources. EOR projects have been traditionally associated with high CAPEX and OPEX, as well as high financial risk, which tend to limit the number of EOR projects launched. In this book, the authors propose workflows for EOR evaluations that account for different volumes and quality of information. This flexible workflow has been successfully applied to oil property evaluations and EOR feasibility studies in many oil reservoirs. The methodology associated with the workflow relies on traditional (look-up tables, XY correlations, etc.) and more advanced (data mining for analog reservoir search and geology indicators) screening methods, emphasizing identification of analogues to support decision making. The screening phase is combined with analytical or simplified numerical simulations to estimate full-field performance by using reservoir data-driven segmentation procedures. Case Studies form Asia, Canada, Mexico, South America and the United States Assets evaluated include reservoir types ranging from oil sands to condensate reservoirs. Different stages of development and information availability are discussed. 
505 0 |a Introduction -- Part One: Methodology -- Conventional screening, Geological screening, Advanced screening, Evaluation of "soft variables", Performance prediction -- Part Two: Field Cases Type I: Lack of data and time constraints -- Case study A, Case study B, Case study C. -- Part Three: Field Cases II: Not enough time to use sufficient data -- Case study D, Case study E, Case study F. 
504 |a Includes bibliographical references and index. 
590 |a Knovel Library  |b ACADEMIC - Oil & Gas Engineering 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty univerzity 
650 0 |a Enhanced oil recovery. 
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655 9 |a electronic books  |2 eczenas 
700 1 |a Manrique, E.  |q (Eduardo) 
776 0 8 |i Print version:  |a Alvarado, V. (Vladimir).  |t Enhanced oil recovery.  |d Burlington, MA : Gulf Professional Pub./Elsevier, ©2010  |z 9781856178556  |z 1856178552  |w (DLC) 2010012466  |w (OCoLC)430842982 
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