Oil and gas exploration : methods and application / edited by Said Gaci, Olga Hachay.
Material type:
TextSeries: Special publication (American Geophysical Union) ; 72.Publication details: Hoboken, New Jersey : Washington, D.C. : John Wiley and Sons, Inc. ; American Geophysical Union, [2017]; ©2017Description: 1 online resource (xi, 287 pages)ISBN: 9781119227519; 1119227518; 9781119227496; 1119227496Subject(s): Petroleum -- Prospecting | Natural gas -- Prospecting | TECHNOLOGY & ENGINEERING / Mining | Natural gas -- Prospecting | Petroleum -- ProspectingOnline resources: Wiley Online Library | Item type | Current library | Call number | Status | Date due | Barcode | Item holds |
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e-Books
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Central Library, Sikkim University | Not for loan | E-2878 |
Includes index.
Chapter 1. Experience of Regional Prediction of Hydrocarbon Deposits Prospecting in the Vicinity of Ural Oil and Gas Provinces; 1.1. Introduction; 1.1.1. Some Information About Oil-Gas-Reserves of Ural's Region and Their Geological Environment ; 1.2. Method of Information Analysis for the Regional Prediction; 1.3. Depth Criteria by Estimation of Oil Gas Potential of Geological Medium; 1.4. Discussion of the Results; 1.4.1. Estimation of Oil Gas Prospecting by Profile Works; 1.4.2. Estimation of Oil and Gas Prospecting of Geological Medium of Main Oil and Gas Provinces and Area of the Ural Region on the Basis of Obtained Information and Revealed Depth Criteria; 1.5. Conclusions --
Chapter 2. Wavelet-Based Multifractal Analysis of Landsat 8 Images: Applications to Mineral Deposits and Shale Gas Reservoirs ; 2.1. Introduction; 2.2. 2-D Wavelet Transforms ; 2.2.1. Wavelet Spectra of Self-Similar Processes ; 2.3. Multifractal Formalism; 2.3.1. Multifractal Descriptors; 2.4. Applications to Landsat 8 Images; 2.4.1. Multifractal Analysis for Assessing Mineral Deposits2.4.2. Multifractal Analysis of Landsat 8 Images of a Shale Gas Reservoir in the United States; 2.4.3. Application to the Shale Reservoir of Vaca Muerta, Argentina; 2.5. Conclusions and Further Developments --
Chapter 3. Seismic Signal Denoising Using Empirical Mode Decomposition ; 3.1. Introduction; 3.2. Theory; 3.2.1. EMD Algorithm; 3.2.2. Gaussian Noise Model and EMD Signal Denoising; 3.2.3. Discrete Wavelet Transform; 3.2.4. Wavelet Thresholding; 3.3. Application on Synthetic Data; 3.4. Application on Real Seismic Data3.5. Conclusion --
Chapter 4. A Lithological Segmentation Technique From Well Logs Using the Hilbert-Huang Transform ; 4.1. Introduction; 4.2. Theory; 4.3. Application on Simulated Well Log Data; 4.4. Application on KTB Velocity Logs; 4.5. Conclusion --
Chapter 5. Seismic UNIX and GNU Octave for VSP Data Processing and Interpretation ; 5.1. Introduction; 5.2. Linux: Free and Open Operating System; 5.3. Seismic Unix: Free Software for Seismic Data Processing; 5.4. UNIX Stream Editor (SED) and AWK; 5.5. GNU Octave; 5.6. VSP Data Processing in SU and Octave; 5.7. VSP Data Interpretation; 5.8. Discussion and Conclusion --
Chapter 6. Seismic Spectral Decomposition Applications in Seismic: A Review and Application ; 6.1. Introduction; 6.2. Time-Frequency Analysis in Reflection Seismic ; 6.2.1. Short Time Fourier Transform-Based Analysis; 6.2.2. Wavelet Transform-Based Analysis ; 6.2.3. S-Transform-Based Analysis ; 6.2.4. Matching Pursuit Method; 6.2.5. Wigner-Ville Distribution ; 6.2.6. Empirical Mode Decomposition-Based Analysis; 6.2.7. Synchron-Squeezed Transform (SST)-Based Analysis.
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