Machine learning for drilling applications: A review

R Zhong, C Salehi, R Johnson Jr - Journal of Natural Gas Science and …, 2022 - Elsevier
In the past several decades, machine learning has gained increasing interest in the oil and
gas industry. This paper presents a comprehensive review of machine learning studies for …

Kick detection and remedial action in managed pressure drilling: a review

MM Huque, S Imtiaz, A Rahman, M Hossain - SN Applied Sciences, 2020 - Springer
Increasing the global demand for natural resources directs the oil industries to explore in
geologically challenging structures and offshore reserves. Oil industries are always …

A new methodology for kick detection during petroleum drilling using long short-term memory recurrent neural network

A Osarogiagbon, S Muojeke, R Venkatesan… - Process Safety and …, 2020 - Elsevier
Kick is a downhole phenomenon which can lead to blowout, and so early detection is
important. In addition to early detection, the need to prevent false alarm is also useful in …

Digital twins for real-time scenario analysis during well construction operations

GS Saini, AH Fallah, P Ashok, E van Oort - Energies, 2022 - mdpi.com
Well construction is a complex multi-step process that requires decision-making at every
step. These decisions, currently made by humans, are inadvertently influenced by past …

Holistic autonomous model for early detection of downhole drilling problems in real-time

A Elmgerbi, G Thonhauser - Process Safety and Environmental Protection, 2022 - Elsevier
Due to the recent increase in drilling operations complexity, the frequency of undesirable
downhole events occurring while drilling a well is in ascend trend leading to substantial …

Field monitoring and identification method for overflow of fractured-vuggy carbonate reservoir

Q Zhang, Z Yan, X Fan, Z Li, P Zhao, J Shuai, L Jia… - Energies, 2023 - mdpi.com
Since carbonate reservoirs develop pores and fractures and have a complex formation
pressure system, overflow and even blowout seriously threaten the exploration and …

Intelligent kick detection using a parameter adaptive neural network

D Zhang, W Sun, Y Dai, S Bu, J Feng… - Geoenergy Science and …, 2024 - Elsevier
In order to detect kick events accurately, multiple drilling parameters including both
dominant and auxiliary ones are often employed in existing kick detection models. In …

Reducing human error through automatic kick detection, space out and dynamic well monitoring

F Curina, E Abdo, H Mustapha - SPE/IADC Drilling Conference and …, 2022 - onepetro.org
Influx detection and well control are critical situations where the traditional human reaction
has been the accepted standard for years. This paper discusses the results of the driller …

Advanced Realtime Early Kick and Loss Detection (EKLD) Through a Hybrid Data-Driven and Physics-Constrained Approach

S Zhang, R Samuel - SPE Western Regional Meeting, 2024 - onepetro.org
In real-world drilling operations, rapid and precise detection of early signs of kicks and
losses is crucial for safe and cost-effective procedures. Failure to promptly monitor and …

[图书][B] Digital twinning of well construction operations for improved decision-making

GS Saini - 2020 - search.proquest.com
Well construction is a highly technical, inherently unpredictable, and non-holonomic multi-
step process with vast state and action spaces, that requires complex decision-making and …