Loading...
| Friend's email | |
| Your name | |
| Your email | |
| enter code | |
This page was sent successfuly
- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 58024 (06)
- University: Sharif University of Technology
- Department: Chemical and Petroleum Engineering
- Advisor(s): Bazargan, Mohammad
- Abstract:
- Subtle faults refer to geological faults that are not easily identifiable using conventional seismic interpretation techniques. Identifying faults and fractures is of great importance in petroleum engineering, playing a vital role in reservoir management and the optimization of hydrocarbon extraction. Faults and fractures can act as fluid conduits, creating heterogeneity in fluid flow. Blocking faults or fractures can act as flow barriers and even lead to reservoir compartmentalization. Accurate fault identification aids in optimizing extraction methods, maximizing hydrocarbon recovery, and preventing issues such as induced seismicity caused by the reactivation of faults. For reservoir modeling and simulation, precise information about faults and fractures is essential, helping to better understand the distribution, heterogeneity, and production potential of reservoirs. These models also facilitate better decision-making for reservoir development and management. Subtle faults typically exhibit small displacements and are difficult to detect due to their weak seismic signal generation. It is generally accepted that most solid materials emit low-level seismic signals when subjected to stress or deformation. These waves scatter upon encountering faults, and by analyzing these waves at the surface or at subsurface depths, the structure of geological layers and small-scale faults can be inferred. In this research, different methods for identifying and localizing subtle faults are examined using acoustic emissions from subsurface layers. Subsequently, an optimized method is developed for the localization and identification of subtle faults. By minimizing angular and temporal errors, an effective approach is determined. After establishing an optimized method, a software application is developed using the Rust programming language to ensure security, speed, and concurrency for broader application. This software has been validated using data and maps obtained from an oil field
- Keywords:
- Seismology ; Acoustic Emission ; Microseismic Monitoring ; Micro-Earthquake ; Fault Localization Software ; Automatic Event Localization ; Automatic Waves Detection ; Subtle-Faults
Digital Object List
-
محتواي کتاب
- view
Bookmark