[HTML][HTML] Intelligent drilling and completion: a review

G Li, X Song, S Tian, Z Zhu - Engineering, 2022 - Elsevier
The application of artificial intelligence (AI) has become inevitable in the petroleum industry.
In drilling and completion engineering, AI is regarded as a transformative technology that …

Half a century experience in rate of penetration management: Application of machine learning methods and optimization algorithms-A review

M Najjarpour, H Jalalifar… - Journal of Petroleum …, 2022 - Elsevier
Rate of penetration (ROP) management is a matter of importance in drilling operations and it
has been considered in different studies. Different machine learning methods such as …

Developing a new rigorous drilling rate prediction model using a machine learning technique

M Mehrad, M Bajolvand, A Ramezanzadeh… - Journal of Petroleum …, 2020 - Elsevier
Drilling rate of penetration (ROP) prediction is an enormously important step to optimize
drilling controllable parameters. Therefore, numerous efforts have been done in order to …

A novel dynamic model for the online prediction of rate of penetration and its industrial application to a drilling process

C Gan, WH Cao, KZ Liu, M Wu - Journal of Process Control, 2022 - Elsevier
Accurate prediction of the rate of penetration (ROP) is a difficult issue in the drilling process,
especially under complex formation conditions. Many methods, such as mechanism and …

Modelling rate of penetration in drilling operations using RBF, MLP, LSSVM, and DT models

M Riazi, H Mehrjoo, R Nakhaei, H Jalalifar… - Scientific Reports, 2022 - nature.com
One of the most important problems that the drilling industry faces is drilling cost. Many
factors affect the cost of drilling. Increasing drilling time has a significant role in increasing …

Computational prediction of the drilling rate of penetration (ROP): A comparison of various machine learning approaches and traditional models

E Brenjkar, EB Delijani - Journal of Petroleum Science and Engineering, 2022 - Elsevier
Rate of penetration (ROP) prediction, can assist precise planning of drilling operations and
can reduce drilling costs. However, easy estimation of this key factor by traditional or …

[HTML][HTML] Hybrid data driven drilling and rate of penetration optimization

AM Alali, MF Abughaban, BM Aman… - Journal of Petroleum …, 2021 - Elsevier
Optimizing the drilling process for cost and efficiency requires faster drilling with a higher
rate of penetration (ROP). A high ROP usually indicates fast and cost-efficient drilling …

An event-triggered approach to torsional vibration control of drill-string system using measurement-while-drilling data

C Lu, M Wu, L Chen, W Cao - Control Engineering Practice, 2021 - Elsevier
Suppressing torsional vibration of drill-string has great safety and economic importance to
drilling process. Note that most existing control methods only measure surface information …

A new hybrid bat algorithm and its application to the ROP optimization in drilling processes

C Gan, WH Cao, KZ Liu, M Wu… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Rate of penetration (ROP) optimization is crucial for drilling processes due to its vital role in
increasing efficiency. This article proposes a new hybrid bat algorithm (HBA) to achieve the …

Optimization of controllable drilling parameters using a novel geomechanics-based workflow

M Bajolvand, A Ramezanzadeh, M Mehrad… - Journal of Petroleum …, 2022 - Elsevier
Drilling optimization is one of the most important management and engineering objectives in
the upstream oil and gas industry, which has been the subject of numerous studies during …