摘要
随着油田二次开发中压裂措施井数量不断增多,会导致压裂分析难度增大。结合油田压裂措施选井选层业务的实际需求,采用专家推理机制和BP神经网络算法等技术,设计开发了一套油井压裂措施智能分析系统。系统实现了对压裂措施的合理分析和措施选井选层的效果评价,降低了措施井优选的复杂度,提高了压裂措施后增油量预测的准确性,为油田二次开发生产提供辅助决策支持。
With the increment of the number of fracturing measure wells, fracturing analysis becomes more difficulty. This article combines with the actual demand of selecting wells and layer of oilfield fracturing measures, uses the expert reasoning mechanism and BP neural network algorithm, designs and develops an set of oil well fracturing intelligent analysis system. The system accomplishes the rational analysis for fracturing measure and the effect evaluation for selecting the well and layer, reduces the optimized complexity of measure well, and improves the predictive accuracy of the oil increment ＂after fracturing. It provides a significant sup- port for tapping production potential and improving oilfield management level, and provides auxiliary decision support for secondary development for oilfield.
出处
《陕西理工大学学报（自然科学版）》
2017年第3期31-34,共4页
Journal of Shaanxi University of Technology:Natural Science Edition
基金
黑龙江省教育科学规划重点课题(GJB1215013)
黑龙江省高教学会教育科研课题(16G154
16G160)
关键词
压裂措施
选井选层
专家系统
BP神经网络
fracturing measure
oil well and layer selection
expert system
BP neural network
