ABSTRACT

Zhang, M.; Li, Z.; Liu, Q.; Zhao, Z., and Liu, S., 2020. Forward modeling of fine seismic wave velocity model in coastal oilfields. In: Malvárez, G. and Navas, F. (eds.), Global Coastal Issues of 2020. Journal of Coastal Research, Special Issue No. 95, pp. 320-324. Coconut Creek (Florida), ISSN 0749-0208.

In order to accurately calculate the fine seismic wave velocity of the coastal oil field, the forward characteristic evolution model of the fine seismic wave velocity model can be effectively evaluated. Because the structure of coastal oil field is complex and the environment is bad, it is very important to study the parameters of fine seismic wave velocity, but there is no effective and reasonable method. A forward modeling method for fine seismic wave velocity model of coastal oil field based on equivalent seepage resistance method is proposed. The fine seismic wave velocity of coastal oil field and the fine seismic wave velocity of oil field regional evolution time are derived by using non-piston water flooding. By using the method of equivalent seepage resistance and taking non-piston water flooding as the research carrier, the seepage zone in the distribution area of fine seismic wave in coastal oil field is divided into three seismic wave impact evolution zones. The forward velocity formula and the inversion formula of fine seismic wave velocity are deduced reasonably. In the simulation experiment, the five-point area pattern of multi-branch horizontal wells is simulated and analyzed from two aspects: the penetration of seismic waves and the number of branches. The simulation results show that the penetration and branch number of seismic waves are linearly correlated, and the number of branches increases with the increase of the penetration of seismic waves. The numerical simulation results show a good low error performance. The forward modeling of seismic wave can improve the calculation precision of fine seismic wave velocity in production well pattern. It has great practical significance to improve the accuracy of reservoir and oil production engineering.

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