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A New Model for Predicting Rate of Penetration Using an Artificial Neural Network [PDF]

open access: yesSensors, 2020
The drilling rate of penetration (ROP) is defined as the speed of drilling through rock under the bit. ROP is affected by different interconnected factors, which makes it very difficult to infer the mutual effect of each individual parameter.
Salaheldin Elkatatny   +2 more
doaj   +2 more sources

Drilling Efficiency Improvement and Rate of Penetration Optimization by Machine Learning and Data Analytics [PDF]

open access: yesInternational Journal of Mathematical, Engineering and Management Sciences, 2020
Rate of Penetration (ROP) is one of the important factors influencing the drilling efficiency. Since cost recovery is an important bottom line in the drilling industry, optimizing ROP is essential to minimize the drilling operational cost and capital ...
Sridharan Chandrasekaran   +1 more
doaj   +2 more sources

Reference dataset for rate of penetration benchmarking

open access: yesJournal of Petroleum Science and Engineering, 2021
Abstract In recent years, there were multiple papers published related to rate of penetration prediction using machine learning vastly outperforming analytical methods. There are models proposed reportedly achieving R2 values as high as 0.996. Unfortunately, it is most often impossible to independently verify these claims as the input data is rarely ...
Tunkiel, Andrzej Tadeusz   +2 more
openaire   +3 more sources

Drilling Rate of Penetration Prediction Based on CBT-LSTM Neural Network [PDF]

open access: yesSensors
Due to the uncertainty of the subsurface environment and the complexity of parameters, particularly in feature extraction from input data and when seeking to understand bidirectional temporal information, the evaluation and prediction of the rate of ...
Kai Bai   +3 more
doaj   +2 more sources

Application of Artificial Neural Network to Estimate Rate of Penetration for Geothermal Well Drilling in South Sumatera

open access: yesInternational Journal of Emerging Technology and Advanced Engineering, 2023
In order to plan an optimum geothermal well drilling scheme, a proper identification of drilling parameters should be well known. Information of the parameters consists of weight on bit (WOB), true vertical depth (TVD), rate of penetration (ROP), foam ...
M. T. Fathaddin   +6 more
semanticscholar   +1 more source

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

open access: yes, 2021
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 oil and gas reservoirs.
Omid Hazbeh   +5 more
semanticscholar   +1 more source

Faster Drilling A Three-dimensional Horizontal Well By Integrating Well Path And BHA Design

open access: yesJournal of Applied Science and Engineering, 2023
Well path design is an important factor in horizontal drilling. A reasonable well profile scheme can significantly reduce drilling drag and torque, which also can enhance drilling rate.
Yuan Long   +4 more
doaj   +1 more source

A stacked generalization ensemble model for optimization and prediction of the gas well rate of penetration: a case study in Xinjiang

open access: yesJournal of Petroleum Exploration and Production Technology, 2021
In gas drilling operations, the rate of penetration (ROP) parameter has an important influence on drilling costs. Prediction of ROP can optimize the drilling operational parameters and reduce its overall cost.
Naipeng Liu   +4 more
semanticscholar   +1 more source

PREDICTION OF PENETRATION RATE OF DRILLING BY USING THE ROCK ENGINEERING SYSTEM APPROACH, CASE STUDY: A WELL IN THE AZADEGAN OILFIELD

open access: yesRudarsko-geološko-naftni Zbornik, 2021
One of the criteria in the operational efficiency of drilling is the rate of penetration of the drill bit. Numerous factors affect the rate of penetration.
Hamidreza Saeedi   +3 more
doaj   +1 more source

Evaluation of the performance of artificial neural networks integrated with whale optimization and ant colony optimization algorithms in estimating the drilling rate of penetration and compare with simple neural networks and mathematical conventional models [PDF]

open access: yesمجله مدل سازی در مهندسی, 2021
Rate of penetration (ROP) estimation in a drilling process is very important because it leads to the optimal selection of drilling parameters and reduction of the operating costs.
Ehsan Brenjkar
doaj   +1 more source

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