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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 …
wellbore's construction. In order to optimize the drilling related operation, real-time decisions …
[HTML][HTML] Real-time measurement of drilling fluid rheological properties: A review
N Liu, D Zhang, H Gao, Y Hu, L Duan - Sensors, 2021 - mdpi.com
The accurate and frequent measurement of the drilling fluid's rheological properties is
essential for proper hydraulic management. It is also important for intelligent drilling …
essential for proper hydraulic management. It is also important for intelligent drilling …
Real-time predictive capabilities of analytical and machine learning rate of penetration (ROP) models
Real-time drilling optimization consists of selecting operational parameters that maximize a
desirable measure of drilling performance. Drilling optimization efforts often aspire to …
desirable measure of drilling performance. Drilling optimization efforts often aspire to …
Application of hybrid artificial neural networks for predicting rate of penetration (ROP): A case study from Marun oil field
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 …
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
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 …
performance. However, as ROP behavior is unique to specific geological conditions its …
[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 …
these reservoirs is one of the main concerns of engineers, which can be achieved by drilling …
Real-time prediction of rate of penetration by combining attention-based gated recurrent unit network and fully connected neural networks
C Zhang, X Song, Y Su, G Li - Journal of Petroleum Science and …, 2022 - Elsevier
Data-driven models are widely used to predict rate of penetration. However, there are still
challenges on real-time predictions considering influences of formation properties and bit …
challenges on real-time predictions considering influences of formation properties and bit …
Computational intelligence based prediction of drilling rate of penetration: A comparative study
Application of artificial intelligence in the accurate prediction of the rate of penetration (ROP),
an important measure of drilling performance, has lately gained significant interest in oil and …
an important measure of drilling performance, has lately gained significant interest in oil and …
Prediction of drilling rate of penetration (ROP) using hybrid support vector regression: A case study on the Shennongjia area, Central China
Rate of penetration (ROP) prediction is crucial for the optimization and control in drilling
process due to its vital role in maximizing the drilling efficiency. This paper proposes a novel …
process due to its vital role in maximizing the drilling efficiency. This paper proposes a novel …
Develo** a new rigorous drilling rate prediction model using a machine learning technique
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 …
drilling controllable parameters. Therefore, numerous efforts have been done in order to …