摘要
针对江苏油田注水开发现状,查明了不同类型油藏产液量变化规律,提出了不同类型注水开发油田提高产液量的方法;此外,考虑到注水开发期采液量是注水参数和地层参数等的连续函数,提出了应用人工神经网络预测产液量的思路和方法,并应用油田的实际生产数据对人工神经网络方法进行验证。
In consideration of the situations of production by water injection in Jiangsu Oilfield, the liquid producing rules are found out for different types of reservoirs. Methods are proposed for improving liquid producing capacities for different water injected production oilfields. In addition, in consideration of the liquid producing capacities at water injected production period being continuous functions of water injection parameters and formation parameters, thus concept and methods using neural networks to predict liquid producing capacities are proposed and actual production data are used to demonstrate the neural networks.
出处
《石油天然气学报》
CAS
CSCD
北大核心
2003年第z2期82-83,共2页
Journal of Oil and Gas Technology
关键词
油藏类型
注水
采液量
趋势分析
江苏油田
reservoir type
water injection
producing capacity
trend prediction
Jiangsu Oilfield