乌干达K油田扇三角洲沉积正演模拟与应用

徐伟; 房磊; 张新叶; 王鹏飞; 刘钧; 杨希濮

doi:10.3799/dqkx.2018.556

Volume 44 Issue 2

Feb. 2019

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Xu Wei, Fang Lei, Zhang Xinye, Wang Pengfei, Liu Jun, Yang Xipu, 2019. Sedimentary Forward Simulation and Application of Fan Delta in K Oil Field in Uganda. Earth Science, 44(2): 513-523. doi: 10.3799/dqkx.2018.556

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Xu Wei, Fang Lei, Zhang Xinye, Wang Pengfei, Liu Jun, Yang Xipu, 2019. Sedimentary Forward Simulation and Application of Fan Delta in K Oil Field in Uganda. Earth Science, 44(2): 513-523. doi: 10.3799/dqkx.2018.556

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Sedimentary Forward Simulation and Application of Fan Delta in K Oil Field in Uganda

doi: 10.3799/dqkx.2018.556

1.
CNOOC Research Institute, Beijing 100028, China
2.
Tianjin Branch of CNOOC Ltd., Tianjin 300452, China

Received Date: 2018-12-10
Publish Date: 2019-02-15

Abstract

Abstract

Due to the poor quality of seismic data and few wells, it is full of challenge to predict reservoir distribution in K oil field which is located at the south of Albert basin in Uganda. According to the comprehensive analyses of core, well logging, paleontology, heavy minerals and grain size, K oil field in Uganda is a shallow lake environment and developed near the source fan delta controlled by bounding fault. The direction of the sediment source located at southeast of this field and it was supplied by predominant distributary channel traction current in low energy and long term. On the basis of quantitative analysis of sedimentary impact factors, the quantified accommodation space variation, sedimentation supply and sediment transportation were put into sedimentary forward simulation under the control of chronostratigraphic framework to reconstruct stratigraphic evolution progress in geological history. Thus a three-dimension reservoir sand proportion distribution model was constructed to facilitate further understanding the spatial distribution characteristic of the sand in each zone. After transforming the results of sedimentary forward simulation into quantitative constraints for 3D geological modeling to control the facies model, a more accurate geological model which is consistent with the high accuracy of the sedimentary concept is established to predict and characterize the fan delta reservoir sand quantitatively.
- fan delta,
- reservoir distribution,
- sedimentary forward simulation,
- 3D geological model,
- oil field

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References(52)

References

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Sedimentary Forward Simulation and Application of Fan Delta in K Oil Field in Uganda

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