Journal ArticleDOI
Application of Optimized Least Square Support Vector Machine and Genetic Programming for Accurate Estimation of Drilling Rate of Penetration
Meysam Naderi,Ehsan Khamehchi +1 more
- Vol. 7, Iss: 4, pp 92-108
TLDR
Two novel methods based on least square support vector machine (LSSVM) and genetic programming (GP) are presented and results indicate that LSSVM is superior over GP in terms of average relative error, average absolute relative errors, root mean square error, and the coefficient of determination.Abstract:
This article describes how the accurate estimation of the rate of penetration ROP is essential to minimize drilling costs. There are various factors influencing ROP such as formation rock, drilling...read more
Citations
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Journal ArticleDOI
Accurate artificial intelligence-based methods in predicting bottom-hole pressure in multiphase flow wells, a comparison approach
TL;DR: In this paper, the authors used genetic programming (GP), least square support vector machines (LSSVM), and radial basis function (RBF) neural networks to predict bottom-hole pressure in producing multiphase flow petroleum wells.
Journal ArticleDOI
Marine biological characteristics and environmental legal policy optimization based on heterogeneous computing environment
TL;DR: In this paper, a scheduling algorithm based on priority queue division is proposed to determine the number of priority queues according to number of input nodes of the directed DAG task set of the acyclic graph and divide the task queue into communication overhead and computational overhead.
References
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Journal ArticleDOI
Developing a novel workflow for natural gas lift optimization using advanced support vector machine
Ali Ebrahimi,Ehsan Khamehchi +1 more
TL;DR: In this study, support vector machine (SVM) was used to overcome the problem of time-consuming simulation of an actual reservoir, and the reservoir simulation software was replaced by the trained SVM.
Journal ArticleDOI
Combined Rate of Penetration and Pressure Regulation for Drilling Optimization by Use of High-Speed Telemetry
Journal ArticleDOI
Method of Optimizing Motor and Bit Performance for Maximum ROP
TL;DR: In this paper, the optimal weight-on-bit (WOB) required to derive maximum ROP for a given section of a hole to be drilled is analyzed. And the optimal WOB, maximum average ROP and differential pressure values are the outputs from the analysis.
Journal ArticleDOI
Estimation of dynamic viscosity of natural gas based on genetic programming methodology
Danial Abooali,Ehsan Khamehchi +1 more
TL;DR: In this article, a simple-to-use genetic programming model was used to predict the viscosity of natural gas with high accuracy and confidence using a large dataset including 1938 samples.