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Sinopsis
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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Reseña del editor
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.
Reseña del editor
This book is aimed primarily at earth scientists, research workers and engineers who are investigating new techniques and ideas for processing and interpreting large amounts of numerical data. It meets the long felt need for a comprehensive text dealing with various aspects of pattern recognition in a single volume.
The treatment starts with a description of seismic modelling, i.e. the formulation of mathematical models for subsurface geology based on Monte Carlo and Markov chains. It then guides the reader through various steps in pattern recognition, viz. identification and automatic extraction of attributes in the time and frequency domains from the seismic response of models. The use of these attributes in pattern recognition is validated by interpreting seismic reflection data as a practical application area. Appropriate computer programs have also been included in the text. An important aspect of this book is that it links subsurface geology with pattern recognition.
The present work will be of interest to those working in the areas of seismic prospecting, seismic zonation and strong motion modelling as well as to those who deal with data interpretation in other disciplines.
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Seismic Modelling and Pattern Recognition in Oil Exploration
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Seismic Modelling and Pattern Recognition in Oil Exploration (Hardcover)
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Kluwer Academic Publishers, Dordrecht, 1992
ISBN 10: 0792314875
ISBN 13: 9780792314875
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Hardcover. Condición: new. Hardcover. Aimed primarily at earth scientists, research workers and engineers who are investigating new techniques and ideas for processing and interpreting large amounts of numerical data, this work meets the long-felt need for a comprehensive text covering various aspects of pattern recognition in a single volume. The treatment starts with a description of seismic modelling, ie the formulation of mathematical models for subsurface geology based on Monte Carlo and Markov chains. It then guides the reader through various steps in pattern recognition, viz identification and automatic extraction of attributes in the time and frequency domains from the seismic response of models. The use of these attributes in pattern recognition is validated by interpreting seismic reflection data as a practical application area. Appropriate computer programs have also been included in the text. An important aspect of this book is that it links subsurface geology with pattern recognition. This work should be of interest to those working in the areas of seismic prospecting, seismic zonation and strong motion modelling as well as to those who deal with data interpretation in other disciplines. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9780792314875
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Seismic Modelling and Pattern Recognition in Oil Exploration
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Seismic Modelling and Pattern Recognition in Oil Exploration
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Seismic Modelling and Pattern Recognition in Oil Exploration
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Seismic Modelling and Pattern Recognition in Oil Exploration
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Kluwer Academic Publishers, 1992
ISBN 10: 0792314875
ISBN 13: 9780792314875
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Condición: New. Covering various aspects of pattern recognition, this work starts with a description of seismic modelling and then discusses various steps in pattern recognition, viz identification and automatic extraction of attributes in the time and frequency domains from the seismic response of models. Num Pages: 178 pages, biography. BIC Classification: RBC. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 12. Weight in Grams: 449. . 1992. Hardback. . . . . Nº de ref. del artículo: V9780792314875
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Seismic Modelling and Pattern Recognition in Oil Exploration
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Springer Netherlands, Springer Netherlands Apr 1992, 1992
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 190 pp. Englisch. Nº de ref. del artículo: 9780792314875
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Seismic Modelling and Pattern Recognition in Oil Exploration
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Springer Netherlands, Springer Netherlands, 1992
ISBN 10: 0792314875
ISBN 13: 9780792314875
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9780792314875
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Seismic Modelling and Pattern Recognition in Oil Exploration
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Springer Netherlands Apr 1992, 1992
ISBN 10: 0792314875
ISBN 13: 9780792314875
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 190 pp. Englisch. Nº de ref. del artículo: 9780792314875
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