Abstract
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.
Highlights
An effective well operation process requires some measures of different kind: geologycal, technical, technologycal
The paper presents development stages and the algorithm that allows one to automate the stage of oil well intervention effect forecasting
The algorithm of oil well intervention effect forecasting In a process of the well intervention effect, computation can be considered as a forecasting problem
Summary
An effective well operation process requires some measures of different kind: geologycal, technical, technologycal (so, called, well intervention - WI). The choice of the definite well intervention type is not an obvious task – on the one hand, there are several suitable solution variants, on the other hand, any intervention to the well operation process causes definite repercussion. Let us outline main stages of the decission-making process of the well intervention choice: ˗ detection of oil producing well with underused capacity. ˗ prediction of well capacity after providing the technological process optimization and well interventions. The paper presents development stages and the algorithm that allows one to automate the stage of oil well intervention effect forecasting. 2. The algorithm of oil well intervention effect forecasting In a process of the well intervention effect, computation can be considered as a forecasting problem.
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