Xinjiang Petroleum Geology ›› 2021, Vol. 42 ›› Issue (5): 579-583.doi: 10.7657/XJPG20210510

• RESERVOIR ENGINEERING • Previous Articles     Next Articles

Natural Energy Partition in Offshore Thin Heavy Oil Reservoirs With Edge Water

XIE Mingying1, YAN Zhenghe1, WEI Xihui1, WU Liulei1, ZHANG Yu2   

  1. 1. Shenzhen Branch, CNOOC (China) Co., Ltd., Shenzhen, Guangdong 518000, China
    2. Production Optimization Division, China Oilfield Services Ltd., CNOOC, Tianjin 300459, China
  • Received:2021-02-04 Revised:2021-03-30 Online:2021-10-01 Published:2021-09-28

Abstract:

The E heavy oil reservoir with edge water in eastern South China Sea has thin pay zones, gentle structures and a large oil-bearing area. The regional energy is insufficient and the production capacity can’t support oilfield development at a high rate, so it is urgent to update the development model. Numerical simulation was carried out on the influence of controlling factors on oil well performance and reservoir pressure, and the extreme distance from an oil well to the edge water was estimated when natural energy supply is sufficient, then the zones with sufficient energy and insufficient energy were determined, and finally natural energy partition charts for different water multiples were established after analyzing the controlling factors and grey correlation. The research results indicate that: (1) The higher the reservoir permeability, the higher the oil mobility, the thicker the pay zone, the greater the water multiples and the lower the fluid recovery rate, and the larger the sufficient energy zone range; (2) The natural energy boundary in the E reservoir, namely the extreme distance between an oil well and the edge water, is 922 m, which is consistent with the regional production performance. The findings above have proved that the charts are reliable and can be a reference to developing similar oil reservoirs.

Key words: edge-water oil reservoir, thin pay zone, extreme edge water distance, natural energy, partition boundary, numerical simulation

CLC Number: