ON SOME WAYS TO INCREASE THE EFFICIENCY OF WELL DRILLING (ON THE EXAMPLE OF OIL FIELDS OF THE REPUBLIC OF BELARUS)

The authors present digital model for assessing the efficiency of well construction, based on the auto-mated determination of operations during drilling, aggregation and processing on a specialized digital platform. A functional diagram of the implementation of an automated monitoring system for the efficiency of well construction in the Republican Unitary Enterprise “Production Association “Belorusneft” is presented, including the calculation of key performance indicators and hidden non-productive time, the determination of which allows you to establish additional time resources to reduce the duration of the well construction cycle. By analyzing statistical data, a methodology has been developed for selecting optimal drilling parameters at which the highest values of mechanical speeds are achieved for these geological conditions without overloading and increased wear of drilling equipment, as well as determining optimized time standards for performing various technological operations in the process of well drilling. An example of complications forecast using machine learning and artificial intelligence is shown.

Authors

Publication Details

Journal
Bulletin Sukhoi State Technical University of Gomel
Published
2024-12-01
DOI
https://doi.org/10.62595/1819-5245-2024-4-105-118
Citations
1
Primary Topic
Drilling and Well Engineering
Type
article
Field-Weighted Citation Impact
0.34
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article

ON SOME WAYS TO INCREASE THE EFFICIENCY OF WELL DRILLING (ON THE EXAMPLE OF OIL FIELDS OF THE REPUBLIC OF BELARUS)

Вадим Ткачев, Anton Valerjevich Serebrennikov, Nikita V. BOCHAROV
1 citations
Bulletin Sukhoi State Technical University of Gomel
Drilling and Well Engineering
0.34
article

ON SOME WAYS TO INCREASE THE EFFICIENCY OF WELL DRILLING (ON THE EXAMPLE OF OIL FIELDS OF THE REPUBLIC OF BELARUS)

Вадим Ткачев, Anton Valerjevich Serebrennikov, Nikita V. BOCHAROV
article en
1 citations

Abstract

The authors present digital model for assessing the efficiency of well construction, based on the auto-mated determination of operations during drilling, aggregation and processing on a specialized digital platform. A functional diagram of the implementation of an automated monitoring system for the efficiency of well construction in the Republican Unitary Enterprise “Production Association “Belorusneft” is presented, including the calculation of key performance indicators and hidden non-productive time, the determination of which allows you to establish additional time resources to reduce the duration of the well construction cycle. By analyzing statistical data, a methodology has been developed for selecting optimal drilling parameters at which the highest values of mechanical speeds are achieved for these geological conditions without overloading and increased wear of drilling equipment, as well as determining optimized time standards for performing various technological operations in the process of well drilling. An example of complications forecast using machine learning and artificial intelligence is shown.

Bulletin Sukhoi State Technical University of Gomel
Openalex Percentile: Top 36%
Drilling and Well Engineering
0.34
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