Study on well and layer selection for refracturing in Ansai Oilfield;
安塞油田重复压裂选井选层研究
The correlative research of well and layer selection in refracturing in the past is mostly to establish a model based on BP neural network.
重复压裂选井选层需要综合考虑地质特征、油气藏特性、物性参数、测试和生产数据等多种影响因素,难以用传统的数学方法来描述这些参数间的高度非线性映射关系。
Shallow profile modification technique is used in Gaotaizi reservoirs in western Nan 1 area through detailed well and layer selection and aiming to the water injection wells with large interlayer difference and rapid water cut increase in the oil production wells connected with them.
南一区西部高台子油层应用浅调剖技术,通过精细选井选层,针对层间差异较大,且与之连通采油井含水上升过快的注水井,降低了中、高渗透层的渗透率,提高了低渗透层的吸水能力,改善了水驱效果,达到了稳油控水的目的。
On the basis of the data of fracturing wells in Zhongyuan Oilfield over the years,a set of artificial intelligence system suitable for selection of well and layer for fracturing is developed.
以中原油田历年压裂井资料为基础 ,开发了一套压裂选井选层人工智能系统。