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Reservoir Characterization, Modeling and Quantitative Interpretation, Volume 1 - Recent Workflows to Emerging Technologies
Loot Price: R3,304
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Reservoir Characterization, Modeling and Quantitative Interpretation, Volume 1 - Recent Workflows to Emerging Technologies
Series: Developments in Structural Geology and Tectonics
Expected to ship within 12 - 17 working days
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Reservoir Characterization, Modeling and Quantitative
Interpretation: Recent Workflows to Emerging Technologies offers a
wide spectrum of reservoir characterization techniques and
technologies, focusing on the latest breakthroughs and most
efficient methodologies in hydrocarbon exploration and development.
Topics covered include 4D seismic technologies, AVAz inversion,
fracture characterization, multiscale imaging technologies, static
and dynamic reservoir characterization, among others. The content
is delivered through an inductive approach, which will help readers
gain comprehensive insights on advanced practices and be able to
relate them to other subareas of reservoir characterization,
including CO2 storage and data-driven modeling. This will be
especially useful for field scientists in collecting and analyzing
field data, prospect evaluation, developing reservoir models, and
adopting new technologies to mitigate exploration risk. They will
be able to solve the practical and challenging problems faced in
the field of reservoir characterization, as it will offer
systematic industrial workflows covering every aspect of this
branch of Earth Science, including subsurface geoscientific
perspectives of carbon geosequestration. This resource is a 21st
Century guide for exploration geologists, geoscience students at
postgraduate level and above, and petrophysicists working in the
oil and gas industry.
General
Imprint: |
Elsevier - Health Sciences Division
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Country of origin: |
United States |
Series: |
Developments in Structural Geology and Tectonics |
Release date: |
October 2023 |
First published: |
2024 |
Editors: |
V. P. Dimri
• Shib Sankar Ganguli
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Dimensions: |
229 x 151mm (L x W) |
Pages: |
315 |
ISBN-13: |
978-0-323-99593-1 |
Categories: |
Books
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LSN: |
0-323-99593-4 |
Barcode: |
9780323995931 |
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