000 | 04029cam a2200385Ii 4500 | ||
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020 |
_a9781119227519 _q(electronic bk.) |
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020 |
_a1119227518 _q(electronic bk.) |
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020 |
_a9781119227496 _q(electronic bk.) |
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020 |
_a1119227496 _q(electronic bk.) |
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020 |
_z9781119227427 _q(print) |
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020 | _z1119227429 | ||
040 | _cCUS | ||
072 | 7 |
_aTEC _x026000 _2bisacsh |
|
245 | 0 | 0 |
_aOil and gas exploration : _bmethods and application / _cedited by Said Gaci, Olga Hachay. |
260 | 1 |
_aHoboken, New Jersey : _bJohn Wiley and Sons, Inc. ; _aWashington, D.C. : _bAmerican Geophysical Union, _c[2017] |
|
260 | 4 | _c©2017 | |
300 | _a1 online resource (xi, 287 pages) | ||
490 | 1 |
_aSpecial publications ; _v72 |
|
500 | _aIncludes index. | ||
505 | 0 | _aChapter 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 -- | |
505 | 8 | _aChapter 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 -- | |
505 | 8 | _aChapter 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 -- | |
505 | 8 | _aChapter 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 -- | |
505 | 8 | _aChapter 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 -- | |
505 | 8 | _aChapter 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. | |
650 | 0 |
_aPetroleum _xProspecting. |
|
650 | 0 |
_aNatural gas _xProspecting. |
|
650 | 7 |
_aTECHNOLOGY & ENGINEERING / Mining _2bisacsh |
|
650 | 7 |
_aNatural gas _xProspecting. _2fast _0(OCoLC)fst01034109 |
|
650 | 7 |
_aPetroleum _xProspecting. _2fast _0(OCoLC)fst01059312 |
|
700 | 1 |
_aGaci, Said, _eeditor. |
|
700 | 1 |
_aHachay, Olga, _eeditor. |
|
830 | 0 |
_aSpecial publication (American Geophysical Union) ; _v72. |
|
856 | 4 | 0 |
_uhttps://doi.org/10.1002/9781119227519 _zWiley Online Library |
942 | _cEBK | ||
999 |
_c208802 _d208802 |