Application of a model-driven simultaneous prestack inversion of rock physical properties in ultra-deep Ordovician carbonate reservoirs in the Shunbei area
Synchronous prestack inversion technology has been widely used to predict the fluid and lithological properties of reservoirs. Its prediction accuracy depends on the seismic data quality. Ultra-deep carbonate reservoirs in the Shunbei area of the Tarim Basin were used as research objects. Based on t...
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Frontiers Media S.A.
2023-01-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2022.1035735/full |
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author | Zhiwei Wang Zhiwei Wang Li-Yun Fu Li-Yun Fu Li-Yun Fu Shikai Jian Wubing Deng Wubing Deng |
author_facet | Zhiwei Wang Zhiwei Wang Li-Yun Fu Li-Yun Fu Li-Yun Fu Shikai Jian Wubing Deng Wubing Deng |
author_sort | Zhiwei Wang |
collection | DOAJ |
description | Synchronous prestack inversion technology has been widely used to predict the fluid and lithological properties of reservoirs. Its prediction accuracy depends on the seismic data quality. Ultra-deep carbonate reservoirs in the Shunbei area of the Tarim Basin were used as research objects. Based on the shear wave (S-wave) prediction method, petrophysical logging analysis was carried out to select the physical property-sensitive elastic parameters. A physical property indicator with porosity as the target curve was constructed to quantitatively characterize the differences in physical properties in this area. The signal-to-noise ratio (SNR) and resolution of the dataset were improved by preprocessing the seismic and logging data. P- and S-wave impedances and densities obtained from prestack synchronous inversion, which integrate the physical property indicator model. Spatial distribution and transverse variation of the physical parameters of the Ordovician carbonate reservoirs are described. The planar distribution of reservoirs can be effectively predicted. |
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language | English |
last_indexed | 2024-04-10T22:31:45Z |
publishDate | 2023-01-01 |
publisher | Frontiers Media S.A. |
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spelling | doaj.art-4b50ff92083d48808f90201ff250e84b2023-01-17T04:33:00ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632023-01-011010.3389/feart.2022.10357351035735Application of a model-driven simultaneous prestack inversion of rock physical properties in ultra-deep Ordovician carbonate reservoirs in the Shunbei areaZhiwei Wang0Zhiwei Wang1Li-Yun Fu2Li-Yun Fu3Li-Yun Fu4Shikai Jian5Wubing Deng6Wubing Deng7Shandong Provincial Key Laboratory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao, ChinaSchool of Geosciences, China University of Petroleum (East China), Qingdao, ChinaShandong Provincial Key Laboratory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao, ChinaSchool of Geosciences, China University of Petroleum (East China), Qingdao, ChinaLaboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao, ChinaPetroleum Exploration and Development Research Institute of Petrochina Tarim Oil Field Company, Korla, ChinaShandong Provincial Key Laboratory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao, ChinaSchool of Geosciences, China University of Petroleum (East China), Qingdao, ChinaSynchronous prestack inversion technology has been widely used to predict the fluid and lithological properties of reservoirs. Its prediction accuracy depends on the seismic data quality. Ultra-deep carbonate reservoirs in the Shunbei area of the Tarim Basin were used as research objects. Based on the shear wave (S-wave) prediction method, petrophysical logging analysis was carried out to select the physical property-sensitive elastic parameters. A physical property indicator with porosity as the target curve was constructed to quantitatively characterize the differences in physical properties in this area. The signal-to-noise ratio (SNR) and resolution of the dataset were improved by preprocessing the seismic and logging data. P- and S-wave impedances and densities obtained from prestack synchronous inversion, which integrate the physical property indicator model. Spatial distribution and transverse variation of the physical parameters of the Ordovician carbonate reservoirs are described. The planar distribution of reservoirs can be effectively predicted.https://www.frontiersin.org/articles/10.3389/feart.2022.1035735/fullshear wave predictionphysical property indicator modelsimultaneous prestack inversionShunbei ultra-deep reservoirsrock physical analysis |
spellingShingle | Zhiwei Wang Zhiwei Wang Li-Yun Fu Li-Yun Fu Li-Yun Fu Shikai Jian Wubing Deng Wubing Deng Application of a model-driven simultaneous prestack inversion of rock physical properties in ultra-deep Ordovician carbonate reservoirs in the Shunbei area Frontiers in Earth Science shear wave prediction physical property indicator model simultaneous prestack inversion Shunbei ultra-deep reservoirs rock physical analysis |
title | Application of a model-driven simultaneous prestack inversion of rock physical properties in ultra-deep Ordovician carbonate reservoirs in the Shunbei area |
title_full | Application of a model-driven simultaneous prestack inversion of rock physical properties in ultra-deep Ordovician carbonate reservoirs in the Shunbei area |
title_fullStr | Application of a model-driven simultaneous prestack inversion of rock physical properties in ultra-deep Ordovician carbonate reservoirs in the Shunbei area |
title_full_unstemmed | Application of a model-driven simultaneous prestack inversion of rock physical properties in ultra-deep Ordovician carbonate reservoirs in the Shunbei area |
title_short | Application of a model-driven simultaneous prestack inversion of rock physical properties in ultra-deep Ordovician carbonate reservoirs in the Shunbei area |
title_sort | application of a model driven simultaneous prestack inversion of rock physical properties in ultra deep ordovician carbonate reservoirs in the shunbei area |
topic | shear wave prediction physical property indicator model simultaneous prestack inversion Shunbei ultra-deep reservoirs rock physical analysis |
url | https://www.frontiersin.org/articles/10.3389/feart.2022.1035735/full |
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