The algorithm of forecasting of the oil well intervention effect

International Conference on Information Technologies in Business and Industry 2016

计算机科学;经济学;工业技术

Silich, V.A.^1 ; Silich, M.P.^2 ; Savelev, A.O.^1 ; Isaev, A.N.^1 ; Goncharov, A.S.^1

Tomsk Polytechnic University, 30 Lenina Ave., Tomsk

634050, Russia^1

Tomsk State University of Control Systems and Radioelectronics, 40 Lenina Ave., Tomsk

634050, Russia^2

关键词: Central tendencies;    Estimation errors;    Regression algorithms;    Regression equation;    Well intervention;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/803/1/012149/pdf
DOI  :  10.1088/1742-6596/803/1/012149

来源: IOP

【 摘 要 】

The paper reviews stages of oil well intervention effect forecasting. The proposed algorithm based on regression equation solution automates the process of oil well intervention effect forecasting. An assessment of the hydraulic fracturing effect was provided as a validation of the algorithm. According to assessments results, the suggested regression algorithm allows a 1.87-time decrease of an estimation error according to the error of central tendency.