The Study of High Capacity Channels Genesis and Formation Conditions in Block M Liaohe Oilfield

Abstract:

In high water cut stage, reservoir heterogeneity is the main cause leading to uneven use of the reservoir and increasing the development difficulty of remaining oil. High capacity channels is a direct result of development differences. The determination of high capacity channels formation conditions has important guiding significance to determine the distribution rule of high capacity channels and make enhanced oil recovery. In this paper, with the data of different periods coring wells, dynamic and static data of production wells, the causes and conditions for the formation of are analyzed, then it’s concluded that unconsolidated rock, high oil viscosity, long-term high intensity of water is the main reason for the formation of high capacity channels, the key condition for the formation of high capacity channels is reservoir properties and heterogeneities, high capacity channels are More easily formed in reservoirs where permeability is between 100-10000,porosity is between 25-30%, Heterogeneity coefficient is greater than 2 and thickness is greater than 3m.

• Periodical: Applied Mechanics and Materials (Volume 733)
• Pages: 23-26
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.733.23
• Online since: February 2015
• Authors: Heng Yuan Qiu, Ze Yu Li
• Keywords: Heterogeneity Coefficient, High Capacity Channels, Reservoir

References

[1] Wang, Baoe; Xu, Jianjun; Yan, Limei. Brittleness simulation of electric power systems based on chart theory [J]. Energy Education Science and Technology Part A: Energy Science and Research, v 31, n 3, pp.1769-1778, (2013).

[2] Xu, Jianjun; Liu, Shengnan; Xu, Bin; et al. Numerical modeling for chaotic characteristics of oil pipeline pressure time series[J]. International Journal of Applied Mathematics and Statistics, v 47, n 17, pp.131-139, (2013).

[3] Long, Xing; Jian-Jun, Xu; Li-Mei, Yan*. Study on the effect of pickled cabbage using freeze-drying protective agent [J]. Advance Journal of Food Science and Technology, v5, n10, pp.1404-1406, October (2013).

DOI: 10.19026/ajfst.5.3117

[4] Xu Jian-jun, XU Ai-hua, Yan Li-mei, et al. Grids State Estimation of Quadrature Kalman Filter Based on PMU/SCADA[J]. Energy Education Science and Technology Part A: Energy Science and Research, v 32, n 2, p . 1033-1038, (2014).

[5] Nai-bo Zhang, Jian-jun Xu*, Chen-guang Xue. Core-shell structured mesoporous silica nanoparticles equipped with pyrene-based chemosensor: Synthesis, characterization, and sensing activity towards Hg (II)[J]. Journal of Luminescence, 2011, 131 (9): p.2021-(2025).

DOI: 10.1016/j.jlumin.2011.04.035

[6] Xu Jian-jun, Xu Yan-chao, Yan Li-mei*, et al. Research on the method of optimal PMU placement [J]. International Journal of Online Engineering, v 9, S7, pp.24-29, (2013).

[7] Liu Zhengliang, Xu Jianjun*, Li Hongyu. A kind of energy saving controller based on Y/Δ change-over [J]. Sensors and Transducers, v 161, n 12, pp.331-336, (2013).