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Seismic Modelling and Pattern Recognition in Oil Exploration (1992)

Seismic Modelling and Pattern Recognition in Oil Exploration

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"Seismic Modelling and Pattern Recognition in Oil Exploration" by A. Sinvhal is a physics book focused on Astronomical Data. Best for students, educators, and scientifically curious readers.

The reasons for writing this book are very simple. We use and teach com puter aided techniques of mathematical simulation and of pattern recogni tion. Life would be much simpler if we had a suitable text book with methods and computer programmes which we could keep referring to. Therefore, we have presented here material that is essential for mathematical modelling of some complex geological situations, with which earth scientists are often confronted. The reader is introduced not only to the essentials of computer modelling, data analysis and pattern recognition, but is also made familiar with the basic understanding with which they can plunge into when solving related and more complex problems. This book first makes a case for seismic stratigraphy and then for pattern recognition. Chapter 1 provides an extensive review of applications of pattern recognition methods in oil exploration. Simulation procedures are presented with examples that are fairly simple to understand and easy to use on the computer. Several geological situations can be formulated and simulated using the Monte Carlo method. The binary lithologic sequences, discussed in Chapter 2, consist of alternating layers of any two of sand, shale and coal.

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Best For: Earth scientists and geophysicists interested in computer-aided seismic analysis
Focus: Mathematical simulation and pattern recognition techniques applied to seismic data
Covers: Methods and computer programs for modelling complex geological situations
Why It Matters: Provides essential tools for understanding and interpreting seismic data in oil exploration

"Seismic Modelling and Pattern Recognition in Oil Exploration" by A. Sinvhal is a physics book focused on Astronomical Data. Best for students, educators, and scientifically curious readers.

Topic: Astronomical Data

Author: A. Sinvhal

Who this is for:

  • Physics students
  • Science-minded readers
  • Readers building technical understanding

Why this book matters: It provides structured coverage of physics concepts in a way that supports deeper understanding and continued study.

The reasons for writing this book are very simple. We use and teach com puter aided techniques of mathematical simulation and of pattern recogni tion. Life would be much simpler if we had a suitable text book with methods and computer programmes which we could keep referring to. Therefore, we have presented here material that is essential for mathematical modelling of some complex geological situations, with which earth scientists are often confronted. The reader is introduced not only to the essentials of computer modelling, data analysis and pattern recognition, but is also made familiar with the basic understanding with which they can plunge into when solving related and more complex problems. This book first makes a case for seismic stratigraphy and then for pattern recognition. Chapter 1 provides an extensive review of applications of pattern recognition methods in oil exploration. Simulation procedures are presented with examples that are fairly simple to understand and easy to use on the computer. Several geological situations can be formulated and simulated using the Monte Carlo method. The binary lithologic sequences, discussed in Chapter 2, consist of alternating layers of any two of sand, shale and coal.

AuthorA. Sinvhal
PublisherSpringer
Published2012-09-21
ISBN-139789401051347
BindingPaperback
Pages178
LanguageEnglish
SubjectsComputers
TopicAstronomical Data

Format: Paperback

Length: 178 pages

Language: English

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