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Seismic Reservoir Modeling: Theory, Examples, and Algorithms

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Seismic Reservoir Modeling: Theory, Examples, and Algorithms

by James R. White

5 out of 5

Language	:	English
File size	:	58121 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Print length	:	272 pages
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Seismic reservoir modeling is a powerful tool for understanding the subsurface and predicting reservoir performance. This book provides a comprehensive guide to seismic reservoir modeling, covering theory, examples, and algorithms.

Seismic Wave Propagation
Seismic Reservoir Characterization
Seismic Reservoir Modeling
Case Studies

Seismic reservoir modeling is a process of creating a computer model of a reservoir using seismic data. Seismic data is a record of the sound waves that are reflected off of the subsurface. These sound waves can be used to create an image of the subsurface, which can then be used to identify and characterize reservoirs.

Seismic reservoir modeling is a complex and challenging process, but it is essential for understanding the subsurface and predicting reservoir performance. This book provides a comprehensive guide to seismic reservoir modeling, covering theory, examples, and algorithms.

Seismic Wave Propagation

Seismic waves are sound waves that travel through the earth. They are generated by earthquakes, explosions, and other sources of energy. Seismic waves propagate through the earth at different speeds, depending on the density and composition of the rock through which they are traveling.

The speed of seismic waves can be used to determine the depth and thickness of different layers of rock. This information can be used to create a geologic model of the subsurface.

Seismic Reservoir Characterization

Seismic reservoir characterization is the process of identifying and characterizing reservoirs using seismic data. Seismic reservoir characterization is typically done using a combination of seismic attributes and geologic data.

Seismic attributes are measurements that are made on seismic data. These measurements can be used to identify different types of rock, such as sandstone, limestone, and shale. Seismic attributes can also be used to identify features such as faults, fractures, and channels.

Geologic data is information about the subsurface that is collected from wells, outcrops, and other sources. Geologic data can be used to calibrate seismic data and to help identify and characterize reservoirs.

Seismic Reservoir Modeling

Seismic reservoir modeling is the process of creating a computer model of a reservoir using seismic data. Seismic reservoir models are typically used to predict reservoir performance and to make decisions about reservoir development.

There are a variety of different seismic reservoir modeling techniques. The most common technique is deterministic modeling, which involves creating a single model of the reservoir. Stochastic modeling, which involves creating multiple models of the reservoir, is also becoming increasingly popular.

Seismic reservoir modeling is a complex and challenging process, but it is essential for understanding the subsurface and predicting reservoir performance.