Analysis of geophysical potential fields : a digital signal processing approach / / Prabhakar S. Naidu and M. P. Mathew

• Record Nr.: UNINA9911006641003321
• Autore: Naidu Prabhakar S
• Pubbl/distr/stampa: New York, : Elsevier, 1998
• ISBN: 1-281-05750-9; 9786611057503; 0-08-052712-4
• Descrizione fisica: 1 online resource (311 p.)
• Collana: Advances in exploration geophysics ; ; v. 5
• Altri autori (Persone): MathewM. P
• Disciplina: 551; 622.15; 622/.15 21
• Soggetti: Prospecting - Geophysical methods - Mathematics; Signal processing - Digital techniques
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Front Cover; Analysis of Geophysical Potential Fields: A Digital Signal Processing Approach; Copyright Page; Contents; Preface; Chapter 1. Geophysical Potential Fields; 1.1. Potential field surveys for mineral and hydrocarbon exploration; 1.2. Role of digital signal processing (dsp); 1.3. A comparison with seismic signal processing; 1.4. Prologue; 1.5. Notation; References; Chapter 2. Potential Field Signals and Models; 2.1. Potential field in source free space; 2.2. Potential field in source filled space; 2.3. 2D source models; 2.4. 3D source models; 2.5. Stochastic models I: random interface2.6. Stochastic model II: random medium; References; Chapter 3. Power Spectrum and its Applications; 3.1. Introduction; 3.2. Spectrum of random fields; 3.3. Discrete potential fields; 3.4. Estimation of power spectrum; 3.5. Depth estimation from radial spectrum; 3.6. Angular spectrum; 3.7. Coherence analysis; References; Chapter 4. Digital Filtering of Maps I; 4.1. Two-dimensional digital filters; 4.2. Implementation of digital filters; 4.3. Filtering for signal enhancement; 4.4. Digital filters for analytical operations; 4.5. Reduction to pole and equator4.6. Reduction to a plane surface; ; 4.7. Removal of the terrain effect; 4.8. Wiener filters; References; Chapter 5. Digital Filtering of Maps II; 5.1. Inverse filtering; 5.2. Least squares inversion (2D distribution); 5.3. Least squares inversion (3D distribution); 5.4. Texture analysis; References; Chapter 6. Parameter Estimation; 6.1. Maximum likelihood (ML) estimation; 6.2. ML estimation source parameters; 6.3. Least squares inverse (non-linear); References; Subject index
• Sommario/riassunto: When some useful information is hidden behind a mass of unwanted information we often resort to information processing used in its broad sense or specifically to signal processing when the useful information is a waveform. In geophysical surveys, in particular in aeromagnetic and gravity surveys, from the measured field it is often difficult to say much about any one specific target unless it is close to the surface and well isolated from the rest. The digital signal processing approach would enable us to bring out the underlying model of the source, that is, the geological structure. Some of