2023
DOI: 10.1007/s13369-023-08043-w
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Predicting Rate of Penetration in Ultra-deep Wells Based on Deep Learning Method

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Cited by 9 publications
(1 citation statement)
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“…The main challenges in the field of technical and technological aspects of drilling deep wells are largely related to the use of predictive geological information, but it is necessary to consider the possible presence of uncertainty in this information, which can create difficulties during drilling. Decisions on the choice of technical and technological methods often depend on the presence of zones with abnormally high reservoir (pore) pressures, which increase significantly in the nearest part of the geological section [11]. The application of design solutions when drilling wells using drilling mud, whose density is in the range from 2.35 to 2.4 g/cm³, faces significant difficulties associated with the need to maintain the parameters of the drilling mud within technologically acceptable limits, even when drilling under extreme loads [12].…”
Section: Resultsmentioning
confidence: 99%
“…The main challenges in the field of technical and technological aspects of drilling deep wells are largely related to the use of predictive geological information, but it is necessary to consider the possible presence of uncertainty in this information, which can create difficulties during drilling. Decisions on the choice of technical and technological methods often depend on the presence of zones with abnormally high reservoir (pore) pressures, which increase significantly in the nearest part of the geological section [11]. The application of design solutions when drilling wells using drilling mud, whose density is in the range from 2.35 to 2.4 g/cm³, faces significant difficulties associated with the need to maintain the parameters of the drilling mud within technologically acceptable limits, even when drilling under extreme loads [12].…”
Section: Resultsmentioning
confidence: 99%