Full text
| |
| Author(s): |
Juan Francisco Villacreses Morales
Total Authors: 1
|
| Document type: | Master's Dissertation |
| Press: | Campinas, SP. |
| Institution: | Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Mecânica |
| Defense date: | 2021-08-26 |
| Examining board members: |
Alexandre Campane Vidal;
Bruno César Zanardo Honório;
Ulisses Miguel da Costa Correia
|
| Advisor: | Alexandre Campane Vidal |
| Abstract | |
Understanding the tectonic activity that impacts the subsurface is critical for the successful characterization of petroleum reservoirs. Structural elements, such as faults and fractures, may constrain the sediment distribution during deposition into the basin evolution and perform as barriers or conduits for fluid flow, influencing hydrocarbon storage. These structural elements are commonly detected using seismic data are often imaged as discontinuities on the seismic reflectors. In particular, carbonate reservoirs are structurally challenging due to the high heterogeneity, which often presents low spatial continuity and sub-seismic fractures and karst-related features. The main objective of this study is to increase the scientific knowledge of faults and fractures interpretation in the pre-salt reservoirs based on three-dimensional seismic and well data analysis in Santos Basin. This study provides insights into the fault morphology and the interaction among structures. In that sense, the identification of structural elements was carried out using seismic processing techniques and seismic attributes, which improved the interpretive process. A systematic data conditioning workflow removed coherent and random noise from the seismic volume. The characterization of the structural elements based on seismic attributes allowed understanding the structural deformation and the relation with regional structures. The discontinuities orientation was the key to predicting potential fractured regions. Once we selected the seismic attributes, the multi-attribute analysis approach, based on the unsupervised artificial neural network, characterized the areas with a high probability for fracturing. In the validation stage, structural features from the borehole image calibrated the azimuth of the seismic discontinuities and the local tectonic stress field, which confirmed the main structural trends interpreted from the seismic attributes (AU) | |
| FAPESP's process: | 20/02039-5 - Seismic atributes analysis for fault and fracture characterization |
| Grantee: | Juan Francisco Villacreses Morales |
| Support Opportunities: | Scholarships in Brazil - Master |