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Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-09302024-161936


Tipo di tesi
Tesi di laurea magistrale
Autore
ARRACHE, KHIEREDDINE
Indirizzo email
k.arrache@studenti.unipi.it, arrachek@yahoo.com
URN
etd-09302024-161936
Titolo
Processing of 3D Marine Seismic Data in Deep-Water Exploration: Challenges and Solutions
Dipartimento
SCIENZE DELLA TERRA
Corso di studi
GEOFISICA DI ESPLORAZIONE E APPLICATA
Relatori
relatore Tognarelli, Andrea
correlatore Meffre, Adrien
Parole chiave
  • 3D seismic processing
  • deap water exploration
  • Pre-STM
  • tomographic inversion
Data inizio appello
18/10/2024
Consultabilità
Non consultabile
Data di rilascio
18/10/2094
Riassunto
The definition of reliable processing flow of seismic data is a complex and challenging task in most cases. In this study, additional complexity related to deep-water acquisition environment and the necessity to preserve the recorded amplitudes arises since the Amplitude Variation with Offset (AVO) analysis is key tool for interpreters to identify prospects. Here, an efficient workflow based on a pre-stack time migration (Pre-STM) sequence is presented. After quality control (QC) of the data and the identification of the different noises contaminating the data, a tailored and cascaded pre-processing sequence is defined that effectively attenuated noise, corrected the wavelet and filled the acquisition gaps. Compared to shallow marine environments, the additional complexity is related to water column statics that exhibits an accentuated impact. The migration of the data is done through a PreSTM using a reliable velocity model updated using a fast and effective non linear tomographic approach. The data quality is further ameliorated using migration post-processing sequence. The workflow presented in this study proved its efficiency by rapidly achieving interpretative and high quality seismic volumes.
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