PDF
Full
Outline
The sedimentary types of turbidite in the Binnan-Lijin area are diverse, making it difficult to predict effective reservoirs. Based on the development location, distance from the source and different flow states of turbidite, the types and sedimentary models of turbidite in the study area were summarized, and the favorable development areas of turbidite were predicted by 5D seismic data. The results indicate that there are four different sedimentary models of turbidite in study area: steep slope-near source-structural slope break type, steep slope-far source-turbidity current type, steep slope-far source-debris flow type and gentle slope-far source-turbidity current type, and there are differences in lithology, logging facies, seismic reflection characteristics and development location. Stacking seismic data along source direction can describe the distribution range of turbidite along the long axis, and stacking data vertically can describe the boundaries of turbidite along the short axis. The sum and product attributes of seismic data stacked in different azimuth can reflect the maximum range of turbidit, and the difference attribute can more clearly reflect the turbidite boundary.
PDF
683
313
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
关闭全屏
No. 86 Xueyuan South Road, Haidian District, Beijing
010-62199257
qkjq@cast.org.cn
Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House
