河道砂油藏产能预测系统研究

Productivity prediction is a serious factor to oil reservoir management and working out economic plans so that it is paid great attention to all the time. Gudao Oil Field, which has been yielding more than 100 million tons of crude oil accumulatively since it was put into developing in 1970's as a complete set of oil field, now entering double extra high water-bearing period after productivity construction, stable production and depletion stage. It's main layer series of development is thought to be type of channel sand reservoir in east China. Form channel sand reservoir in upper Guantao Group of Shengli Oil Field, there are several large oil fields such as Gudao, Gudong and Chengdao etc. with almost one-third reserves of whole Shengli Oil Field. It is considered the common characteristics in this area would be that the layer is less developed, the sand distribution is sporadic, the connectivity is weak, the heterogeneity is strong in plane, the oil layer is unconsolidated with big porosity, high permeability and serious sanding, and the oil is heavy. Because of the restricted factors to productivity of this kind of reservoir, it is very significant to study the productivity prediction this kind of reservoir. By selecting the upstream fluvial reservoir in Guantao Group of Neogene system as researching object, the author studied the forecasting technology with heterogeneous reservoir. Firstly, the author constructed the 3D subtle geological model quantificationally through researching exploitation geology in the way of combination of dynamic and static methods. Secondly, by the aid of dynamic material obtained while producing, the author analyzed the oil distribution law and influencing factors, then finished dynamic oil reservoir description on the basis of static oil reservoir description. Thirdly, via comparing and analyzing all the forecasting methods of productivity existed, the author developed a set of method to forecast productivity of single well and oil field which fit to channel sand reservoir. At last, under the support of ORACLE database, with the advanced computer technology, the author programmed the software called 'Channel Sand Reservoir Prediction System'. Up to now, this system has been putting into use in Gudao Oil Field and very successful.