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Seismic Reservoir Modeling - Theory, Examples, and Algorithms (Hardcover)
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Seismic Reservoir Modeling - Theory, Examples, and Algorithms (Hardcover)
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Seismic reservoir characterization aims to build 3-dimensional
models of rock and fluid properties, including elastic and
petrophysical variables, to describe and monitor the state of the
subsurface for hydrocarbon exploration and production and for CO2
sequestration. Rock physics modeling and seismic wave propagation
theory provide a set of physical equations to predict the seismic
response of subsurface rocks based on their elastic and
petrophysical properties. However, the rock and fluid properties
are generally unknown and surface geophysical measurements are
often the only available data to constrain reservoir models far
away from well control. Therefore, reservoir properties are
generally estimated from geophysical data as a solution of an
inverse problem, by combining rock physics and seismic models with
inverse theory and geostatistical methods, in the context of the
geological modeling of the subsurface. A probabilistic approach to
the inverse problem provides the probability distribution of rock
and fluid properties given the measured geophysical data and allows
quantifying the uncertainty of the predicted results. The reservoir
characterization problem includes both discrete properties, such as
facies or rock types, and continuous properties, such as porosity,
mineral volumes, fluid saturations, seismic velocities and density.
Seismic Reservoir Modeling: Theory, Examples and Algorithms
presents the main concepts and methods of seismic reservoir
characterization. The book presents an overview of rock physics
models that link the petrophysical properties to the elastic
properties in porous rocks and a review of the most common
geostatistical methods to interpolate and simulate multiple
realizations of subsurface properties conditioned on a limited
number of direct and indirect measurements based on spatial
correlation models. The core of the book focuses on Bayesian
inverse methods for the prediction of elastic petrophysical
properties from seismic data using analytical and numerical
statistical methods. The authors present basic and advanced
methodologies of the current state of the art in seismic reservoir
characterization and illustrate them through expository examples as
well as real data applications to hydrocarbon reservoirs and CO2
sequestration studies.
General
Imprint: |
Wiley-Blackwell
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Country of origin: |
United States |
Release date: |
May 2021 |
Authors: |
D Grana
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Dimensions: |
251 x 175 x 18mm (L x W x T) |
Format: |
Hardcover
|
Pages: |
272 |
ISBN-13: |
978-1-119-08618-5 |
Categories: |
Books >
Earth & environment >
Earth sciences >
General
|
LSN: |
1-119-08618-3 |
Barcode: |
9781119086185 |
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