Combined interpolation method for single-well monitoring data

Abstract

Obtain accurate, reliable and complete single-well monitoring data is important task of oilfield dynamic monitoring. At present, oilfield dynamic monitoring technology has become more and more mature, but it is impossible to cover every single-wells or every horizons. Thus, the single-well monitoring data is not continuous, and the missing phenomenon is widespread. To solve this problem, this paper proposes a new combined interpolation algorithm based on SPSS which presents five missing data processing methods and cubic spline interpolation, and applied to a single-well monitored missing data processed. The numerical experiment shows that the new algorithm has the highest precision, and it as an effective approach for interpolating the missing data of single-well monitoring.