<p>This paper integrates the seismic attribute analysis and waveform indication inversion techniques to systematically unveil the distribution pattern of the sand bodies at the front of the shallow-water delta in the Pu I Oil Layer of the study region. By means of seismic attribute analysis, the root mean square amplitude and maximum absolute amplitude attributes were optimally chosen. Integrating the 50Hz frequency decomposition technique and RGB multi-attribute fusion, the planar distribution features, that is, well-developed sand bodies in the northwest and predominantly mudstone in the southeast, were identified. By optimizing key parameters and relying on the sensitive curves of natural gamma and resistivity, the waveform indication inversion realized high-precision prediction of sand bodies (with a conformity rate of 82%). The results indicate that the PI5 and PI3 sub-layers are the most well-developed sand layers. The research reveals that: Horizontally, the sand bodies are arranged in a banded pattern trending northwest-southeast. The thickness of the sand bodies in the northern provenance area ranges from 3 to 9.4 m, while in the southeast, it is mostly less than 1 meter. Vertically, governed by the lake level cycle, the underwater distributary channel sand bodies (with an average thickness of 3.5 m) thicken through progradation during the regression phase and thin through retrogradation during the transgression phase. The sheet sand bodies (with an average thickness of 1.8 m) gradually thicken as they are modified by lake waves. The research findings offer a reliable geological foundation for predicting shallow-water delta reservoirs.</p>

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Study on the Distribution Patterns of Sand Bodies at the Front of Shallow-Water Deltas

  • Haifeng Chen,
  • Xuntao Yu,
  • Hongqi Yuan,
  • Guangjie Wang

摘要

This paper integrates the seismic attribute analysis and waveform indication inversion techniques to systematically unveil the distribution pattern of the sand bodies at the front of the shallow-water delta in the Pu I Oil Layer of the study region. By means of seismic attribute analysis, the root mean square amplitude and maximum absolute amplitude attributes were optimally chosen. Integrating the 50Hz frequency decomposition technique and RGB multi-attribute fusion, the planar distribution features, that is, well-developed sand bodies in the northwest and predominantly mudstone in the southeast, were identified. By optimizing key parameters and relying on the sensitive curves of natural gamma and resistivity, the waveform indication inversion realized high-precision prediction of sand bodies (with a conformity rate of 82%). The results indicate that the PI5 and PI3 sub-layers are the most well-developed sand layers. The research reveals that: Horizontally, the sand bodies are arranged in a banded pattern trending northwest-southeast. The thickness of the sand bodies in the northern provenance area ranges from 3 to 9.4 m, while in the southeast, it is mostly less than 1 meter. Vertically, governed by the lake level cycle, the underwater distributary channel sand bodies (with an average thickness of 3.5 m) thicken through progradation during the regression phase and thin through retrogradation during the transgression phase. The sheet sand bodies (with an average thickness of 1.8 m) gradually thicken as they are modified by lake waves. The research findings offer a reliable geological foundation for predicting shallow-water delta reservoirs.