An evaluation of the effectiveness of implementing technological solutions based on digital technologies to improve well casing quality
https://doi.org/10.31660/0445-0108-2023-3-68-83
Abstract
The article presents the process of forming measures based on digital technologies to improve the quality of well cementing at the fields of Western Siberia. The problem associated with the low quality of input information due to the use of several independent sources was identified and solved. The economic efficiency of the developed methods for reducing the labour costs of data collection for modelling using machine learning algorithms is demonstrated. If the solutions developed are implemented, there is a prospect of reducing the cost of repair and insulation work. Key information is provided about the hypotheses generated and their objectives. The authors of the article describe the method of using various mathematical algorithms to analyze the results of industrial experimental work. The efficiency of the developed solutions is evaluated by comparing the results of cementing experimental wells and wells built using the basic technology. The dynamics of cement quality growth in the fields of Western Siberia are summarised as a general result. As a result of the experience gained, the solutions have been adapted and are in the process of being re-implemented in order to make a final assessment of their effectiveness.
About the Authors
D. V. ShalyapinRussian Federation
Denis V. Shalyapin, Postgraduate;
Researcher in the Work Design Department of the Well Design Department
Tyumen
D. L. Bakirov
Russian Federation
Daniyar L. Bakirov, Candidate of Engineering, Deputy Director General for Well Construction Research
Moscow
V. G. Kuznetsov
Russian Federation
Vladimir G. Kuznetsov, Doctor of Engineering, Professor at the Department of Drilling Oil and Gas Wells
Tyumen
References
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Review
For citations:
Shalyapin D.V., Bakirov D.L., Kuznetsov V.G. An evaluation of the effectiveness of implementing technological solutions based on digital technologies to improve well casing quality. Oil and Gas Studies. 2023;(3):68-83. (In Russ.) https://doi.org/10.31660/0445-0108-2023-3-68-83