基于大数据分析的海上多层油田精细开发实践——以渤海L油田为例

针对常规数据分析方法自动化与智能化程度低,难以满足海上油田开发规律深度挖掘的需求,基于标准化数据平台建设和大数据程序开发,在渤海L油田开展了大规模、多专业和复杂生产规律下的油田开发数据的高效分析和应用。结果表明,通过油井生产数据参数相关性分析和产液规律数据挖掘,可完成油井产液能力影响因素分析;综合储层物性与注采动态等多专业数据,可完成不同井区平面及纵向注水状况分析;结合油藏大数据体构建与机器学习方法,可完成优势产能潜力区域筛选。研究成果直接应用于油田实际措施优选与方案优化后,达到了提高油田精细开发效果的目的。

Fine development practice of offshore multi-layer oilfield based on big data analysis--by taking Bohai L oilfield as an example

The conventional data analysis method has low degree of automation and intelligence,which is difficult to meet the needs of deep mining of offshore oilfield development law.Based on the construction of standardized data platform and the development of big data program,the efficient analysis and application of oilfield development data under large-scale,multi professional and complex production rules were carried out in Bohai L oilfield.The results show that through the correlation analysis of oil well production data parameters and the data mining of liquid production law,the analysis of influencing factors of oil well liquid production capacity can be completed.Through the correlation analysis of oil well production data parameters and data mining of liquid production law,the influencing factors of oil well liquid production capacity can be analyzed.Through the comprehensive analysis of reservoir physical properties and injection production performance data,the plane and vertical water injection situation of different well areas can be analyzed.Combined with reservoir big data volume construction and machine learning method,the region selection of dominant productivity potential can be realized.After the research results are directly applied to the optimization of practical measures and schemes,the purpose of improving the effect of oilfield fine development is achieved.