Application of a new hydrocarbon detection technique with phase decomposition in carbonate reservoir of the Pre-Caspian Basin
Due to the low porosity and thin thickness of the Carboniferous carbonate reservoir in the Pre-Caspian Basin, the impedance difference between the reservoir and the surrounding rock is not obvious, and the seismic response characteristics are weak. It is ambiguous to detect oil and gas based on the...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-07-01
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| Series: | Frontiers in Earth Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2023.1136423/full |
| _version_ | 1797785560275746816 |
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| author | Zhen Wang Yiqiong Zhang Zhifeng Ji Shutang Jin Ren Jiang Xueke Wang Yankun Wang Shanbo Sheng Yaping Lin |
| author_facet | Zhen Wang Yiqiong Zhang Zhifeng Ji Shutang Jin Ren Jiang Xueke Wang Yankun Wang Shanbo Sheng Yaping Lin |
| author_sort | Zhen Wang |
| collection | DOAJ |
| description | Due to the low porosity and thin thickness of the Carboniferous carbonate reservoir in the Pre-Caspian Basin, the impedance difference between the reservoir and the surrounding rock is not obvious, and the seismic response characteristics are weak. It is ambiguous to detect oil and gas based on the convention attribute amplitude and frequency information. According to the geological characteristics of the Carboniferous Reservoir in the Pre-Caspian Basin, we proposed a new hydrocarbon detection method from the phase decomposition of sensitive frequency in post-stack seismic data, which improves the accuracy of hydrocarbon detection. The forward model that is a method of numerical analysis is utilized to testify the feasibility of hydrocarbon detection with phase decomposition, which showed that the amplitude of oil and gas layers in −90° phase components is stronger than that of water layer. The special frequency band seismic data sensitive to oil and gas is decomposed into 10 Hz, 20 Hz, 30 Hz, 40 Hz, 50 Hz, and 60 Hz single frequency energy body, and then hydrocarbon is detected according to the amplitude anomaly in specific frequency energy body. The application of forward model and filed example demonstrates that the fluid type in the reservoir can be directly identified by the phase decomposition technique, which has higher accuracy than the conventional hydrocarbon detection technology with post-stack data. After the application of this technology, the coincidence between hydrocarbon results and oil test results in the block was increased from 60% to 80%, and the coincidence rate is much higher than the detection results using conventional attributes, more than 90%. All the two exploration wells deployed according to the detection results have obtained higher oil production, new discovered oil geologic reserves have been increased to 5.54 million tons. |
| first_indexed | 2024-03-13T00:55:47Z |
| format | Article |
| id | doaj.art-112e74ef85234d1ba5b5ccae6cd79fa5 |
| institution | Directory Open Access Journal |
| issn | 2296-6463 |
| language | English |
| last_indexed | 2024-03-13T00:55:47Z |
| publishDate | 2023-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Earth Science |
| spelling | doaj.art-112e74ef85234d1ba5b5ccae6cd79fa52023-07-06T20:09:10ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632023-07-011110.3389/feart.2023.11364231136423Application of a new hydrocarbon detection technique with phase decomposition in carbonate reservoir of the Pre-Caspian BasinZhen Wang0Yiqiong Zhang1Zhifeng Ji2Shutang Jin3Ren Jiang4Xueke Wang5Yankun Wang6Shanbo Sheng7Yaping Lin8Research Institute of Petroleum Exploration and Development, China National Petroleum Corporation (CNPC), Beijing, ChinaResearch Institute of Petroleum Exploration and Development, China National Petroleum Corporation (CNPC), Beijing, ChinaResearch Institute of Petroleum Exploration and Development, China National Petroleum Corporation (CNPC), Beijing, ChinaChina National Oil and Gas Exploration and Development Co., Ltd. (CNODC), Nursultan, KazakhstanResearch Institute of Petroleum Exploration and Development, China National Petroleum Corporation (CNPC), Beijing, ChinaResearch Institute of Petroleum Exploration and Development, China National Petroleum Corporation (CNPC), Beijing, ChinaResearch Institute of Petroleum Exploration and Development, China National Petroleum Corporation (CNPC), Beijing, ChinaChina National Oil and Gas Exploration and Development Co., Ltd. (CNODC), Nursultan, KazakhstanResearch Institute of Petroleum Exploration and Development, China National Petroleum Corporation (CNPC), Beijing, ChinaDue to the low porosity and thin thickness of the Carboniferous carbonate reservoir in the Pre-Caspian Basin, the impedance difference between the reservoir and the surrounding rock is not obvious, and the seismic response characteristics are weak. It is ambiguous to detect oil and gas based on the convention attribute amplitude and frequency information. According to the geological characteristics of the Carboniferous Reservoir in the Pre-Caspian Basin, we proposed a new hydrocarbon detection method from the phase decomposition of sensitive frequency in post-stack seismic data, which improves the accuracy of hydrocarbon detection. The forward model that is a method of numerical analysis is utilized to testify the feasibility of hydrocarbon detection with phase decomposition, which showed that the amplitude of oil and gas layers in −90° phase components is stronger than that of water layer. The special frequency band seismic data sensitive to oil and gas is decomposed into 10 Hz, 20 Hz, 30 Hz, 40 Hz, 50 Hz, and 60 Hz single frequency energy body, and then hydrocarbon is detected according to the amplitude anomaly in specific frequency energy body. The application of forward model and filed example demonstrates that the fluid type in the reservoir can be directly identified by the phase decomposition technique, which has higher accuracy than the conventional hydrocarbon detection technology with post-stack data. After the application of this technology, the coincidence between hydrocarbon results and oil test results in the block was increased from 60% to 80%, and the coincidence rate is much higher than the detection results using conventional attributes, more than 90%. All the two exploration wells deployed according to the detection results have obtained higher oil production, new discovered oil geologic reserves have been increased to 5.54 million tons.https://www.frontiersin.org/articles/10.3389/feart.2023.1136423/fullPre-Caspian Basinphase decompositionhydrocarbon seismic direct detectionfrequencyseismic signals analysisfluids detection |
| spellingShingle | Zhen Wang Yiqiong Zhang Zhifeng Ji Shutang Jin Ren Jiang Xueke Wang Yankun Wang Shanbo Sheng Yaping Lin Application of a new hydrocarbon detection technique with phase decomposition in carbonate reservoir of the Pre-Caspian Basin Frontiers in Earth Science Pre-Caspian Basin phase decomposition hydrocarbon seismic direct detection frequency seismic signals analysis fluids detection |
| title | Application of a new hydrocarbon detection technique with phase decomposition in carbonate reservoir of the Pre-Caspian Basin |
| title_full | Application of a new hydrocarbon detection technique with phase decomposition in carbonate reservoir of the Pre-Caspian Basin |
| title_fullStr | Application of a new hydrocarbon detection technique with phase decomposition in carbonate reservoir of the Pre-Caspian Basin |
| title_full_unstemmed | Application of a new hydrocarbon detection technique with phase decomposition in carbonate reservoir of the Pre-Caspian Basin |
| title_short | Application of a new hydrocarbon detection technique with phase decomposition in carbonate reservoir of the Pre-Caspian Basin |
| title_sort | application of a new hydrocarbon detection technique with phase decomposition in carbonate reservoir of the pre caspian basin |
| topic | Pre-Caspian Basin phase decomposition hydrocarbon seismic direct detection frequency seismic signals analysis fluids detection |
| url | https://www.frontiersin.org/articles/10.3389/feart.2023.1136423/full |
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