Porosity estimation in deep-water slope-channel system using seismic inversion model: A case study from the Nile Delta Basin, Egypt
The area of study is a Pliocene gas field, located in the Eastern portion of the West Nile Delta Deep Marine Concession (WDDM) offshore Egypt. The primary aim of this study is to establish a methodology for direct porosity estimate from 3D post-stack inversion (Zp) and assess its reliability. Porosi...
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| Format: | Article |
| Language: | English |
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Earth Science Institute, Slovak Academy of Sciences, Slovakia
2023-06-01
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| Series: | Contributions to Geophysics and Geodesy |
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| Online Access: | https://journal.geo.sav.sk/cgg/article/view/447 |
| _version_ | 1797785889521270784 |
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| author | Ramy EID Mohamed EL-ANBAAWY Adel EL-TEHIWY |
| author_facet | Ramy EID Mohamed EL-ANBAAWY Adel EL-TEHIWY |
| author_sort | Ramy EID |
| collection | DOAJ |
| description | The area of study is a Pliocene gas field, located in the Eastern portion of the West Nile Delta Deep Marine Concession (WDDM) offshore Egypt. The primary aim of this study is to establish a methodology for direct porosity estimate from 3D post-stack inversion (Zp) and assess its reliability. Porosity estimation from seismic inversion is a commonly used technique in geophysics to predict subsurface porosity from seismic data. Seismic inversion is the process of converting seismic reflection data into a quantitative representation of subsurface properties. Seismic inversion methods aim to relate the seismic response (amplitude, phase, frequency content) to rock properties such as porosity. The inversion process typically involves the following steps: Acoustic impedance inversion from seismic data is a widely utilized technique in reservoir characterization. In cases where well penetrations are limited, the resulting impedance section can be employed to predict reservoir parameters, including porosity. However, the relationship between acoustic impedance (AI) and porosity is influenced by the lithofacies and requires geological interpretation. To construct a porosity map and porosity static model, a comprehensive methodology was developed, capitalizing on the expected porosity volumes. By applying cut-offs to shear and acoustic impedance logs, categorical facies or fluid classes were established. The mean porosity for each lithofacies category is determined from the porosity logs of the wells under study. The inverted porosity model is validated against well log data or other independent measurements like core porosity to assess its accuracy and reliability. If necessary, additional adjustments or calibration may be performed to improve the porosity estimation. Subsequently, a final trend porosity volume was generated to estimate the porosity in areas distant from the study wells by establishing a correlation between average porosity values and acoustic impedance. This process of creating a porosity map will significantly mitigate drilling uncertainties going forward. |
| first_indexed | 2024-03-13T01:01:21Z |
| format | Article |
| id | doaj.art-cb6742fa2d364e6e933fb32483cb638a |
| institution | Directory Open Access Journal |
| issn | 1338-0540 |
| language | English |
| last_indexed | 2024-03-13T01:01:21Z |
| publishDate | 2023-06-01 |
| publisher | Earth Science Institute, Slovak Academy of Sciences, Slovakia |
| record_format | Article |
| series | Contributions to Geophysics and Geodesy |
| spelling | doaj.art-cb6742fa2d364e6e933fb32483cb638a2023-07-06T11:47:16ZengEarth Science Institute, Slovak Academy of Sciences, SlovakiaContributions to Geophysics and Geodesy1338-05402023-06-0153212914910.31577/congeo.2023.53.2.3447Porosity estimation in deep-water slope-channel system using seismic inversion model: A case study from the Nile Delta Basin, EgyptRamy EID0Mohamed EL-ANBAAWY1Adel EL-TEHIWY2Rashid Petroleum Company (Rashpetco), Building 18, New Maadi, 1073, Cairo, EgyptDepartment of Geology, Faculty of Science, Cairo University, Giza, 12613, EgyptDepartment of Geology, Faculty of Science, Cairo University, Giza, 12613, EgyptThe area of study is a Pliocene gas field, located in the Eastern portion of the West Nile Delta Deep Marine Concession (WDDM) offshore Egypt. The primary aim of this study is to establish a methodology for direct porosity estimate from 3D post-stack inversion (Zp) and assess its reliability. Porosity estimation from seismic inversion is a commonly used technique in geophysics to predict subsurface porosity from seismic data. Seismic inversion is the process of converting seismic reflection data into a quantitative representation of subsurface properties. Seismic inversion methods aim to relate the seismic response (amplitude, phase, frequency content) to rock properties such as porosity. The inversion process typically involves the following steps: Acoustic impedance inversion from seismic data is a widely utilized technique in reservoir characterization. In cases where well penetrations are limited, the resulting impedance section can be employed to predict reservoir parameters, including porosity. However, the relationship between acoustic impedance (AI) and porosity is influenced by the lithofacies and requires geological interpretation. To construct a porosity map and porosity static model, a comprehensive methodology was developed, capitalizing on the expected porosity volumes. By applying cut-offs to shear and acoustic impedance logs, categorical facies or fluid classes were established. The mean porosity for each lithofacies category is determined from the porosity logs of the wells under study. The inverted porosity model is validated against well log data or other independent measurements like core porosity to assess its accuracy and reliability. If necessary, additional adjustments or calibration may be performed to improve the porosity estimation. Subsequently, a final trend porosity volume was generated to estimate the porosity in areas distant from the study wells by establishing a correlation between average porosity values and acoustic impedance. This process of creating a porosity map will significantly mitigate drilling uncertainties going forward.https://journal.geo.sav.sk/cgg/article/view/447porosity estimation, deep-water slope-channel system, simian field, nile delta basin, seismic inversion model |
| spellingShingle | Ramy EID Mohamed EL-ANBAAWY Adel EL-TEHIWY Porosity estimation in deep-water slope-channel system using seismic inversion model: A case study from the Nile Delta Basin, Egypt Contributions to Geophysics and Geodesy porosity estimation, deep-water slope-channel system, simian field, nile delta basin, seismic inversion model |
| title | Porosity estimation in deep-water slope-channel system using seismic inversion model: A case study from the Nile Delta Basin, Egypt |
| title_full | Porosity estimation in deep-water slope-channel system using seismic inversion model: A case study from the Nile Delta Basin, Egypt |
| title_fullStr | Porosity estimation in deep-water slope-channel system using seismic inversion model: A case study from the Nile Delta Basin, Egypt |
| title_full_unstemmed | Porosity estimation in deep-water slope-channel system using seismic inversion model: A case study from the Nile Delta Basin, Egypt |
| title_short | Porosity estimation in deep-water slope-channel system using seismic inversion model: A case study from the Nile Delta Basin, Egypt |
| title_sort | porosity estimation in deep water slope channel system using seismic inversion model a case study from the nile delta basin egypt |
| topic | porosity estimation, deep-water slope-channel system, simian field, nile delta basin, seismic inversion model |
| url | https://journal.geo.sav.sk/cgg/article/view/447 |
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