Integration of Geology, Rock-Physics, Logs, and Pre-stack Seismic for Reservoir Porosity Estimation
The main objective of this paper is to obtain reservoir properties, such as porosity, both at the well locations and in the inter-well regions from seismic data and well logs. The seismic and well-log datasets are from an oil field in eastern Saudi Arabia, and the main target is a Jurassic carbonate...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Technical Report |
| Language: | en_US |
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Massachusetts Institute of Technology. Earth Resources Laboratory
2014
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| Online Access: | http://hdl.handle.net/1721.1/90438 |
| _version_ | 1826196260427661312 |
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| author | Al Muhaidib, Abdulaziz Sen, Mrinal K. Toksoz, M. Nafi |
| author2 | Massachusetts Institute of Technology. Earth Resources Laboratory |
| author_facet | Massachusetts Institute of Technology. Earth Resources Laboratory Al Muhaidib, Abdulaziz Sen, Mrinal K. Toksoz, M. Nafi |
| author_sort | Al Muhaidib, Abdulaziz |
| collection | MIT |
| description | The main objective of this paper is to obtain reservoir properties, such as porosity, both at the well locations and in the inter-well regions from seismic data and well logs. The seismic and well-log datasets are from an oil field in eastern Saudi Arabia, and the main target is a Jurassic carbonate reservoir. The geology of carbonate reservoirs in Saudi Arabia is well understood. However, reservoir porosity estimation is essential and needs to be determined for flow simulation and reservoir management. One of the main components of this project is establishing the relation between the Pimpedance and porosity using well log data. An amplitude-versus-angle (AVA) seismic inversion algorithm was employed to invert for the 3-D impedance volumes (i.e., Pimpedance and S-impedance) given partial angle stacks of seismic traces representing reflection amplitude variations with angle of incidence. These impedance volumes were used to estimate porosity between the well locations. The seismic and log data provided a priori information (i.e., the initial starting model and source wavelet estimate) to obtain geologically consistent results. |
| first_indexed | 2024-09-23T10:24:06Z |
| format | Technical Report |
| id | mit-1721.1/90438 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T10:24:06Z |
| publishDate | 2014 |
| publisher | Massachusetts Institute of Technology. Earth Resources Laboratory |
| record_format | dspace |
| spelling | mit-1721.1/904382019-04-11T05:33:05Z Integration of Geology, Rock-Physics, Logs, and Pre-stack Seismic for Reservoir Porosity Estimation Al Muhaidib, Abdulaziz Sen, Mrinal K. Toksoz, M. Nafi Massachusetts Institute of Technology. Earth Resources Laboratory Fluid flow Logging Inversion The main objective of this paper is to obtain reservoir properties, such as porosity, both at the well locations and in the inter-well regions from seismic data and well logs. The seismic and well-log datasets are from an oil field in eastern Saudi Arabia, and the main target is a Jurassic carbonate reservoir. The geology of carbonate reservoirs in Saudi Arabia is well understood. However, reservoir porosity estimation is essential and needs to be determined for flow simulation and reservoir management. One of the main components of this project is establishing the relation between the Pimpedance and porosity using well log data. An amplitude-versus-angle (AVA) seismic inversion algorithm was employed to invert for the 3-D impedance volumes (i.e., Pimpedance and S-impedance) given partial angle stacks of seismic traces representing reflection amplitude variations with angle of incidence. These impedance volumes were used to estimate porosity between the well locations. The seismic and log data provided a priori information (i.e., the initial starting model and source wavelet estimate) to obtain geologically consistent results. 2014-09-29T17:19:28Z 2014-09-29T17:19:28Z 2011 Technical Report http://hdl.handle.net/1721.1/90438 en_US Earth Resources Laboratory Industry Consortia Annual Report;2011-17 application/pdf Massachusetts Institute of Technology. Earth Resources Laboratory |
| spellingShingle | Fluid flow Logging Inversion Al Muhaidib, Abdulaziz Sen, Mrinal K. Toksoz, M. Nafi Integration of Geology, Rock-Physics, Logs, and Pre-stack Seismic for Reservoir Porosity Estimation |
| title | Integration of Geology, Rock-Physics, Logs, and Pre-stack Seismic for Reservoir Porosity Estimation |
| title_full | Integration of Geology, Rock-Physics, Logs, and Pre-stack Seismic for Reservoir Porosity Estimation |
| title_fullStr | Integration of Geology, Rock-Physics, Logs, and Pre-stack Seismic for Reservoir Porosity Estimation |
| title_full_unstemmed | Integration of Geology, Rock-Physics, Logs, and Pre-stack Seismic for Reservoir Porosity Estimation |
| title_short | Integration of Geology, Rock-Physics, Logs, and Pre-stack Seismic for Reservoir Porosity Estimation |
| title_sort | integration of geology rock physics logs and pre stack seismic for reservoir porosity estimation |
| topic | Fluid flow Logging Inversion |
| url | http://hdl.handle.net/1721.1/90438 |
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