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Mathematical Methods and Modelling in Hydrocarbon Exploration and Production (Mathematics in Industry)
 
 
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Mathematical Methods and Modelling in Hydrocarbon Exploration and Production (Mathematics in Industry) [Hardcover]

Armin Iske (Editor), Trygve Randen (Editor)
4.0 out of 5 stars  See all reviews (1 customer review)

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Book Description

June 8, 2005 3540225366 978-3540225362 1
Hydrocarbon exploration and production incorporate great technology challenges for the oil and gas industry. In order to meet the world's future demand for oil and gas, further technological advance is needed, which in turn requires research across multiple disciplines, including mathematics, geophysics, geology, petroleum engineering, signal processing, and computer science. This book addresses important aspects and fundamental concepts in hydrocarbon exploration and production. Moreover, new developments and recent advances in the relevant research areas are discussed, whereby special emphasis is placed on mathematical methods and modelling. The book reflects the multi-disciplinary character of the hydrocarbon production workflow, ranging from seismic data imaging, seismic analysis and interpretation and geological model building, to numerical reservoir simulation. Various challenges concerning the production workflow are discussed in detail. The thirteen chapters of this joint work, authored by international experts from academic and industrial institutions, include survey papers of expository character as well as original research articles. Large parts of the material presented in this book were developed between November 2000 and April 2004 through the European research and training network NetAGES, "Network for Automated Geometry Extraction from Seismic". The new methods described here are currently being implemented as software tools at Schlumberger Stavanger Research, one of the world's largest service providers to the oil industry.

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Hydrocarbon exploration and production incorporate great technology challenges for the oil and gas industry. In order to meet the world's future demand for oil and gas, further technological advance is needed, which in turn requires research across multiple disciplines, including mathematics, geophysics, geology, petroleum engineering, signal processing, and computer science. This book addresses important aspects and fundamental concepts in hydrocarbon exploration and production. Moreover, new developments and recent advances in the relevant research areas are discussed, whereby special emphasis is placed on mathematical methods and modelling. The book reflects the multi-disciplinary character of the hydrocarbon production workflow, ranging from seismic data imaging, seismic analysis and interpretation and geological model building, to numerical reservoir simulation. Various challenges concerning the production workflow are discussed in detail. The thirteen chapters of this joint work, authored by international experts from academic and industrial institutions, include survey papers of expository character as well as original research articles. Large parts of the material presented in this book were developed between November 2000 and April 2004 through the European research and training network NetAGES, "Network for Automated Geometry Extraction from Seismic". The new methods described here are currently being implemented as software tools at Schlumberger Stavanger Research, one of the world's largest service providers to the oil industry.

Product Details

  • Hardcover: 463 pages
  • Publisher: Springer; 1 edition (June 8, 2005)
  • Language: English
  • ISBN-10: 3540225366
  • ISBN-13: 978-3540225362
  • Product Dimensions: 9.3 x 6.1 x 1.1 inches
  • Shipping Weight: 1.6 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #2,541,052 in Books (See Top 100 in Books)

 

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1 of 1 people found the following review helpful:
4.0 out of 5 stars intensive modelling, October 9, 2006
This review is from: Mathematical Methods and Modelling in Hydrocarbon Exploration and Production (Mathematics in Industry) (Hardcover)
The search for petroleum, and the maximal extraction of it, is crucial to the continued prosperity of the world. Hence this book is of very practical interest. The chapters show a wide range of skills and ideas, drawn from geology, geophysics, mathematics and computing. For the latter, we see interesting ideas and a massive computational modelling of underground deposits.

The signal analysis is very convoluted, when it comes to trying to reconstruct the layout of an oil field. What is also interesting is the modelling of the effects of pumping fluids into such a field. An active method that seeks to squeeze out as much of the oil or gas as possible.

Keep in mind that the latest modelling ideas are probably not described here. But are held as proprietary.
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Inside This Book (learn more)
First Sentence:
Most of the hydrocarbons (gas and oil) occur in sedimentary rocks that were generated in different depositional environments (e.g. river channels, delta systems, submarine fans, carbonate mounds and reefs). Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
extrema classification, seismic textures, image structure tensor, overturned surfaces, stratigraphy indicator, variance cube, seismic cube, gradient structure tensor, reservoir flow simulation, seismic facies, onlap fill, seismic wave form, background slowness, corner point grid, ant tracking, coordinate tubes, unstructured triangulations, voxel model, horizon patches, enhancement attribute, chaotic texture, cell average values, horizon segments, seismic data analysis, attribute cubes
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Monte Carlo, Barents Sea, European Union, Expanded Abstr, Oxford University Press, European Conference, Mathematics of Oil Recovery, Norsk Hydro, Exploration Geophys, North Sea, International Conference, Norway Summary, Academic Press, Petroleum Geoscience, Cambridge University Press, Oilfield Review, American Association of Petroleum Geologists Memoir, Annual Meeting, John Wiley, Kai Hogstad, Numerical Grid Generation, Prentice Hall, San Antonio, Society of Petroleum Engineers Journal
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