Oil and gas prediction basing on seismic inversion of elastic properties in Chaoshan depression, south China sea
The marine Mesozoic is widely distributed in the northeastern waters of the South China Sea and is an important field for oil-gas exploration in the South China Sea. The Chaoshan Depression is the largest residual depression in this sea. At a previous well, LF35-1-1, no oil and gas have been discove...
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Frontiers Media S.A.
2023-05-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2023.1194663/full |
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author | Zhong Guangjian Zhong Guangjian Zhong Guangjian Zhao Zhongquan Tu Guanghong Zhang Kangshou Zhao Jing Yi Hai Feng Changmao Yu Junhui |
author_facet | Zhong Guangjian Zhong Guangjian Zhong Guangjian Zhao Zhongquan Tu Guanghong Zhang Kangshou Zhao Jing Yi Hai Feng Changmao Yu Junhui |
author_sort | Zhong Guangjian |
collection | DOAJ |
description | The marine Mesozoic is widely distributed in the northeastern waters of the South China Sea and is an important field for oil-gas exploration in the South China Sea. The Chaoshan Depression is the largest residual depression in this sea. At a previous well, LF35-1-1, no oil and gas have been discovered with then pre-drilling prediction techniques. Post-drill analysis shows that the physical properties of the Mesozoic reservoir are not favorable there. So, in accurate prediction of the oil-gas reservoirs is necessary. Since the drilling at the LF35-1-1, extensive surveys and studies have been carried out which shows a number of favorable trapping structures. In the middle low bulge of the Chaoshan Depression, the DS-A structures found with potential reservoirs, complete trap structures, and dual source hydrocarbon supply on both sides, making it the most favorable zone for oil-gas accumulation. We apply the state of art prediction techniques for it using pre-stack seismic raw gather. The sensitivity analysis results of reservoir physical properties indicate that the difference in P- wave velocity between sand and mudstone is 500 m/s, the difference in density is 0.02 g/cm3, and the Poisson’s ratio ranges between 0.11 and 0.33. The Mesozoic sandstone reservoirs in the Chaoshan Depression have characteristics of high velocity and low Poisson’s ratio, and the P-wave velocity, density, and Poisson’s ratio are the main sensitive parameters for predicting reservoir and its oil-gas bearing properties. The density inversion, P-wave impedance inversion, and S-wave impedance inversion jointly characterize the “wedge-shaped” sand body in the DS-A structural area, with a maximum thickness of over 400 m and an area of ∼130 km2. The overlap of the sand body contour map and Poisson’s ratio inversion results indicates that the “wedge-shaped” sand body is an oil-gas bearing sand body. It can be concluded that pre-stack elastic parameter inversion is an effective method for reservoir prediction in deep-sea no-well exploration areas. It has the characteristics of high signal-to-noise ratio, strong stability and reliability, and high accuracy, which is conducive to reduce the non-uniqueness and uncertainty of seismic inversion. The inversion results predict that the DS-A structure is an oil-gas bearing structure. |
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spelling | doaj.art-2cebde601a8c4c8f85e9c360258a572c2023-05-31T14:19:01ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632023-05-011110.3389/feart.2023.11946631194663Oil and gas prediction basing on seismic inversion of elastic properties in Chaoshan depression, south China seaZhong Guangjian0Zhong Guangjian1Zhong Guangjian2Zhao Zhongquan3Tu Guanghong4Zhang Kangshou5Zhao Jing6Yi Hai7Feng Changmao8Yu Junhui9Guangzhou Marine Geological Survey, Guangzhou, ChinaKey Laboratory of Ocean and Marginal Sea Geology, South China Sea Institute of Oceanology, Innovation Academy of South China Sea Ecology and Environmental Engineering, Chinese Academy of Sciences, Guangzhou, ChinaKey Laboratory of Marine Mineral Resources, Ministry of Natural Resources, Guangzhou, ChinaGuangzhou Marine Geological Survey, Guangzhou, ChinaGuangzhou Marine Geological Survey, Guangzhou, ChinaGuangzhou Marine Geological Survey, Guangzhou, ChinaGuangzhou Marine Geological Survey, Guangzhou, ChinaGuangzhou Marine Geological Survey, Guangzhou, ChinaGuangzhou Marine Geological Survey, Guangzhou, ChinaKey Laboratory of Ocean and Marginal Sea Geology, South China Sea Institute of Oceanology, Innovation Academy of South China Sea Ecology and Environmental Engineering, Chinese Academy of Sciences, Guangzhou, ChinaThe marine Mesozoic is widely distributed in the northeastern waters of the South China Sea and is an important field for oil-gas exploration in the South China Sea. The Chaoshan Depression is the largest residual depression in this sea. At a previous well, LF35-1-1, no oil and gas have been discovered with then pre-drilling prediction techniques. Post-drill analysis shows that the physical properties of the Mesozoic reservoir are not favorable there. So, in accurate prediction of the oil-gas reservoirs is necessary. Since the drilling at the LF35-1-1, extensive surveys and studies have been carried out which shows a number of favorable trapping structures. In the middle low bulge of the Chaoshan Depression, the DS-A structures found with potential reservoirs, complete trap structures, and dual source hydrocarbon supply on both sides, making it the most favorable zone for oil-gas accumulation. We apply the state of art prediction techniques for it using pre-stack seismic raw gather. The sensitivity analysis results of reservoir physical properties indicate that the difference in P- wave velocity between sand and mudstone is 500 m/s, the difference in density is 0.02 g/cm3, and the Poisson’s ratio ranges between 0.11 and 0.33. The Mesozoic sandstone reservoirs in the Chaoshan Depression have characteristics of high velocity and low Poisson’s ratio, and the P-wave velocity, density, and Poisson’s ratio are the main sensitive parameters for predicting reservoir and its oil-gas bearing properties. The density inversion, P-wave impedance inversion, and S-wave impedance inversion jointly characterize the “wedge-shaped” sand body in the DS-A structural area, with a maximum thickness of over 400 m and an area of ∼130 km2. The overlap of the sand body contour map and Poisson’s ratio inversion results indicates that the “wedge-shaped” sand body is an oil-gas bearing sand body. It can be concluded that pre-stack elastic parameter inversion is an effective method for reservoir prediction in deep-sea no-well exploration areas. It has the characteristics of high signal-to-noise ratio, strong stability and reliability, and high accuracy, which is conducive to reduce the non-uniqueness and uncertainty of seismic inversion. The inversion results predict that the DS-A structure is an oil-gas bearing structure.https://www.frontiersin.org/articles/10.3389/feart.2023.1194663/fullsouth China seamesozoicseismic inversionelastic propertiesoil-bearing sand prediction |
spellingShingle | Zhong Guangjian Zhong Guangjian Zhong Guangjian Zhao Zhongquan Tu Guanghong Zhang Kangshou Zhao Jing Yi Hai Feng Changmao Yu Junhui Oil and gas prediction basing on seismic inversion of elastic properties in Chaoshan depression, south China sea Frontiers in Earth Science south China sea mesozoic seismic inversion elastic properties oil-bearing sand prediction |
title | Oil and gas prediction basing on seismic inversion of elastic properties in Chaoshan depression, south China sea |
title_full | Oil and gas prediction basing on seismic inversion of elastic properties in Chaoshan depression, south China sea |
title_fullStr | Oil and gas prediction basing on seismic inversion of elastic properties in Chaoshan depression, south China sea |
title_full_unstemmed | Oil and gas prediction basing on seismic inversion of elastic properties in Chaoshan depression, south China sea |
title_short | Oil and gas prediction basing on seismic inversion of elastic properties in Chaoshan depression, south China sea |
title_sort | oil and gas prediction basing on seismic inversion of elastic properties in chaoshan depression south china sea |
topic | south China sea mesozoic seismic inversion elastic properties oil-bearing sand prediction |
url | https://www.frontiersin.org/articles/10.3389/feart.2023.1194663/full |
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