MODELING AND MEASUREMENT OF ATTENUATION IN SYNTHETIC SEISMIC DATASETS
Notice bibliographique
Résumé
Anelasticity and heterogeneity in the Earth decreases the energy and modifies the dominant frequency of seismic wavetrains as they travel through the Earth. These phenomena are known as seismic attenuation. The associated physical processes lead to reduced amplitudes, waveform distortions, and phase delays of seismic wave arrivals. Seismic wave attenuation is often viewed as an important indicator of the presence of fluids, variations of saturation, porosity, and fracturing within the subsurface, as well as of variations of temperature, pressure, and the mineral content of rocks. \nHowever, along with its usefulness for interpreting subtle physical properties of the Earth, seismic wave attenuation is often difficult to measure accurately, and the resulting measures may be difficult to relate to physical properties. In this Thesis, I investigate three types of attenuation-measurement methods in detail, by using three high-quality synthetic datasets. The first dataset simulates a two-dimensional (2-D) reflection seismic profile and is generated by the popular Seismic Un*x software. The second dataset is performed by the classic and accurate one-dimensional (1-D) modeling method called “reflectivity” and simulates the subsurface structure of the Weyburn oil field in southern Saskatchewan. The third synthetic dataset is also 1-D but is unique in modeling a nuclear explosion as the source and covering depths down to about 600 km. These datasets are used to test and compare three methods of attenuation measurement: 1) the well-known spectral ratio (SR) method, 2) the less known instantaneous-frequency matching (IFM) method, and 3) a new method based on time-variant deconvolution (TVD). The TVD method uses the full-waveform modeling for measuring not only the traditional quality factor (usually denoted Q) but also all other effects of attenuation in seismic records, including the effects of reflections, multiples, thin-layer tuning, surface and other types of waves). This method is also the only one allowing measurement of the Q at every point within a seismic section. Due to these properties, the TVD method can be used for advanced interpretation and for compensating the attenuation effects in seismic records. \nWith each of the above methods, detailed Q measurements were performed at variable source-receiver distances for several arrivals within the seismic records and compared to the models. The Q values obtained by the SR, IFM, and TVD methods were found suitable for clear isolated arrivals such as shallow reflections. However, the resulting Q-factors begin deviating from the expected model levels when these arrivals are complicated by interferences with other reflections, multiples, mode conversions, and noise. Because of its spectral averaging properties the SR method is somewhat more stable with respect to such effects. For all three methods, significant variations in performance were found for different source-receiver distances. Overall, the Q-factors measured within the seismic sections are variable and not simply related to the Q of the subsurface. \nA somewhat unexpected yet important result of this study consists in finding that the attenuation modeled by the 2-D Seismic Un*x program is of a very peculiar kind described by the Q-factor proportional to frequency. The above results show that seismic attenuation still requires substantial research in both modeling and measurements, in both exploration-scale and earthquake seismology.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».