Full
WANG Xiangzeng,born in 1968,holds a doctoral degree and the title of professor-level senior engineer,academician of the Chinese Academy of Engineering. He is mainly engaged in research on the exploration and development of low-permeability oil and gas fields. E-mail: sxycpcwxz@126.com.
Outline
The Permian Shanxi Formation in the Yan’an Gas Field of the Ordos Basin contains tight sandstone gas reservoirs within a shallow delta front. However,predicting sandbody distribution is challenging due to strong reservoir heterogeneity,large well spacing,and the signal-attenuating effects of the Quaternary loess plateau. As a result,the distribution patterns of effective gas-bearing reservoirs remain poorly understood. Using the S23 submember of the Shanxi Formation in the Gaojiahe area of the central Yan’an Gas Field as a case study,this research proposes an intelligent sandbody prediction method based on an adaptive weighting strategy. This approach integrates the relationship between amplitude-frequency characteristics and tuned thickness into an attention mechanism,establishing an adaptive weighting framework for multi-band seismic attributes. The weighting strategy prioritizes high-frequency attributes for identifying thin layers and low-frequency attributes for thick layers,effectively addressing sandbody prediction challenges in the presence of low-quality seismic data. Compared with existing methods,the proposed approach yields the most accurate sandbody thickness predictions across various ratios of learning wells to blind wells. For example,in a test involving 45 learning wells and 63 blind wells,the correlation coefficient(R) between predicted and actual sandbody thickness reached 0.85. Prediction results indicate that the S23 submember in the Gaojiahe area develops wide,banded sand bodies deposited in a shallow-water delta-front environment. Thick,coarse-grained sediments in the main distributary channels,along with the main body and inner edge of the mouth bar,are confined within the palaeo-geomorphological low of the main valley. Due to wave scouring,these intervals exhibit high quartz content and represent the principal effective gas reservoirs.
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| 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 |
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