Machine learning methods applied to drilling rate of penetration prediction and optimization-A review

LFFM Barbosa, A Nascimento, MH Mathias… - Journal of Petroleum …, 2019 - Elsevier
Drilling wells in challenging oil/gas environments implies in large capital expenditure on
wellbore's construction. In order to optimize the drilling related operation, real-time decisions …

Application of hybrid artificial neural networks for predicting rate of penetration (ROP): A case study from Marun oil field

SB Ashrafi, M Anemangely, M Sabah… - Journal of petroleum …, 2019 - Elsevier
Rate of Penetration (ROP) can be considered as a crucial factor in optimization and cost
minimization of drilling operations. In order to predict ROP with satisfactory precision, some …

A machine learning approach to predict drilling rate using petrophysical and mud logging data

M Sabah, M Talebkeikhah, DA Wood… - Earth Science …, 2019 - Springer
Predicting the drilling rate of penetration (ROP) is one approach to optimizing drilling
performance. However, as ROP behavior is unique to specific geological conditions its …

Drilling rate prediction from petrophysical logs and mud logging data using an optimized multilayer perceptron neural network

M Anemangely, A Ramezanzadeh… - … of geophysics and …, 2018 - academic.oup.com
Rate of penetration (ROP) enhancement serves as a key factor in reducing drilling time and
hence drilling costs. ROP enhancement requires identification of the parameters affecting …

[HTML][HTML] Comparison of accuracy and computational performance between the machine learning algorithms for rate of penetration in directional drilling well

O Hazbeh, SK Aghdam, H Ghorbani, N Mohamadian… - Petroleum …, 2021 - Elsevier
Oil and gas reservoirs are of the main assets of countries possessing them. Production from
these reservoirs is one of the main concerns of engineers, which can be achieved by drilling …

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 …

[HTML][HTML] Review of key performance indicators for process monitoring in the mining industry

P Gackowiec, M Podobińska-Staniec, E Brzychczy… - Energies, 2020 - mdpi.com
The sustainable development of an organisation requires a holistic approach to the
evaluation of an enterprise's goals and activities. The essential means enabling an …

Optimization of drilling parameters using combined multi-objective method and presenting a practical factor

MR Delavar, A Ramezanzadeh, R Gholami… - Computers & …, 2023 - Elsevier
Several optimization approaches have been developed to enhance the efficiency of drilling
performance. The characteristics of the problem require a procedure capable of a precise …

A review on half a century of experience in rate of penetration management: Application of analytical, semi-analytical and empirical models

M Najjarpour, H Jalalifar… - Advances in Geo-Energy …, 2021 - sciopen.com
Rate of penetration management is a matter of importance in drilling operations and it has
been used in some research studies. Although conventional approaches for rate of …

Data-driven recurrent neural network model to predict the rate of penetration: Upstream Oil and Gas Technology

HH Alkinani, ATT Al-Hameedi… - Upstream Oil and Gas …, 2021 - Elsevier
Abstract The Rate of Penetration (ROP) is a vital parameter in drilling operations. Due to the
complex relationship between the parameters affecting ROP, accurate prediction of ROP is …