Application of multi-point geostatistics in deep-water turbidity channel simulation: A case study of Plutonio oilfield in Angola

作者：Zhang Wenbiao^*; Duan Taizhong; Liu Zhiqiang; Yuan Shujin; Lin Yu; Xu Huaming

来源：Petroleum Exploration and Development, 2016, 43(3): 443-450.

DOI：10.1016/s1876-3804(16)30051-9

• deep-water sedimentation
• turbidity channel
• multi-point geo-statistics
• shallow-water sedimentation
• three-dimensional training image
• Oligocene
• Lower Congo-Congo Fan Basin

In order to simulate the deep water channel distribution of the Oligocene O73 sand layers in the Plutonio oilfield in Angola of west Africa. Based on the shallow high frequency seismic data, the morphology and quantitative scale of shallow channel were studied. By analogy, this study was used as guidance for the scale statistics of single deep channel sandstone, and a three dimensional quantitative training image was created. On this basis, the deep water channel distribution was simulated using multi-point geo-statistics Snesim algorithm and tested by real drilling. The results show that the width and depth of shallow single channel are in linear correlation, while the tortuosity is negatively correlated with the slope gradient exponentially. The average depth of single channel sandstone was 13 meters and the average width was 162 meters. It is concluded that the deep water channel distribution simulation results consist with well data obtained through high resolution gradient impedance inversion, extraction of shallow channel geologic body as 3-D quantitative training image and simulation using Snesim algorithm. The spatial morphology and size of different channels are constrained by the quantitative characteristics of training image, and can reproduce geometric characteristics and spatial structure of deep water channels and levees.

• 出版日期2016-6
• 单位中国石油化工股份有限公司石油勘探开发研究院