Research on a drilling rate of penetration prediction model based on the improved chaos whale optimization and back propagation algorithm
Authors:
- Kanhua SuKanhua Su
- Wenhao DaWDWenhao Da
- Meng LiMLMeng Li
- Hao LiHLHao Li
- Jian WeiJWJian Wei
- 12 June 2024
- journal article
- research article
- Published by Elsevier in Geoenergy Science and Engineering
- Vol. 240
Abstract
No abstract availableKeywords
Funding Information
- Fundamental Research Funds for the Key Research Program of Chongqing Science and Technology Commission (cstc2019jcyj-msxmX0199)
- Chongqing Research Program of Basic Research and Frontier Technology
- National Natural Science Foundation of China (51974052)
This publication has 16 references indexed in Scilit:
- Prediction of the rate of penetration in offshore large-scale cluster extended reach wells drilling based on machine learning and big-data techniquesOcean Engineering, 2023
- Application of machine learning to evaluating and remediating models for energy and environmental engineeringApplied Energy, 2022
- Prediction of rock penetration rate using a novel antlion optimized ANN and statistical modellingJournal of African Earth Sciences, 2021
- Prediction of drilling rate of penetration (ROP) using hybrid support vector regression: A case study on the Shennongjia area, Central ChinaJournal of Petroleum Science and Engineering, 2019
- A whale optimization algorithm-trained artificial neural network for smart grid cyber intrusion detectionNeural Computing and Applications, 2019
- Predicting rate of penetration during drilling of deep geothermal well in Korea using artificial neural networks and real-time data collectionJournal of Natural Gas Science and Engineering, 2019
- Rate of penetration (ROP) optimization in drilling with vibration controlJournal of Natural Gas Science and Engineering, 2019
- Computational intelligence based prediction of drilling rate of penetration: A comparative studyJournal of Petroleum Science and Engineering, 2019
- Optimizing connection weights in neural networks using the whale optimization algorithmSoft Computing, 2016
- Drilling rate of penetration prediction and optimization using response surface methodology and bat algorithmJournal of Natural Gas Science and Engineering, 2016