引用次数
引用: 1,101
H-指数: 14
I10-指数 : 17
出版物: 21
Use of Regression and Bootstrapping in Drilling Inference and Prediction
Chiranth M Hegde , Scott P Wallace , K E Gray
SPE Middle East Intelligent Oil and Gas Conference and Exhibition
12
2015
A System for Real-Time Drilling Performance Optimization and Automation Based on Statistical Learning Methods
Scott P. Wallace , Chiranth M. Hegde , K. E. Gray
SPE Middle East Intelligent Oil and Gas Conference and Exhibition
14
2015
Application of statistical learning techniques for rate of penetration (ROP) prediction in drilling
Ch Hegde
The University of Texas at Austin
10
2016
Application of statistical learning models to predict and optimize rate of penetration of drilling
Chiranth Manjunath Hegde
1
2016
End-to-end drilling optimization using machine learning
Chiranth Manjunath Hegde
3
2018
Evaluation of Modelling of Flow in Fractures
Wolfram Rühaak , Ingo Sass , Chiranth Hegde
1
2013
Use of machine learning and data analytics to increase drilling efficiency for nearby wells
Chiranth Hegde , K.E. Gray
Journal of Natural Gas Science and Engineering 40 327 -335
132
2017
Analysis of rate of penetration (ROP) prediction in drilling using physics-based and data-driven models
Chiranth Hegde , Hugh Daigle , Harry Millwater , Ken Gray
Journal of Petroleum Science and Engineering 159 295 -306
148
2017
Classification of drilling stick slip severity using machine learning
Chiranth Hegde , Harry Millwater , Ken Gray
Journal of Petroleum Science and Engineering 179 1023 -1036
28
2019
Prediction of peak particle velocity using multi regression analysis: case studies
K. Ram Chandar , V. R. Sastry , Chiranth Hegde , Srisharan Shreedharan
Geomechanics and Geoengineering 12 ( 3) 207 -214
6
2017
Classification of Stability of Highwall During Highwall Mining: A Statistical Adaptive Learning Approach
K. Ram Chandar , Chiranth Hegde , Mohan Yellishetty , B. Gowtham Kumar
Geotechnical and Geological Engineering 33 ( 3) 511 -521
2
2015
A Critical Comparison of Regression Models and Artificial Neural Networks to Predict Ground Vibrations
K. Ram Chandar , V. R. Sastry , Chiranth Hegde
Geotechnical and Geological Engineering 35 ( 2) 573 -583
14
2017
Application of Real-time Video Streaming and Analytics to Breakdown Rig Connection Process
Chiranth Hegde , Omar Awan , Tim Wiemers
Offshore Technology Conference
1
2018
Acoustic fingerprinting for rock identification during drilling
Srisharan Shreedharan , Chiranth Hegde , Sunil Sharma , Harsha Vardhan
International Journal of Mining and Mineral Engineering 5 ( 2) 89
10
2014
Using Trees, Bagging, and Random Forests to Predict Rate of Penetration During Drilling
Chiranth Hegde , Scott Wallace , Ken Gray
SPE Middle East Intelligent Oil and Gas Conference and Exhibition
38
2015
Real Time Prediction and Classification of Torque and Drag During Drilling Using Statistical Learning Methods
Chiranth Hegde , Scott Wallace , Ken Gray
SPE Eastern Regional Meeting
8
2015
Fully coupled end-to-end drilling optimization model using machine learning
Chiranth Hegde , Michael Pyrcz , Harry Millwater , Hugh Daigle
Journal of Petroleum Science and Engineering 186 106681
28
2020
Evaluation of coupled machine learning models for drilling optimization
Chiranth Hegde , Ken Gray
Journal of Natural Gas Science and Engineering 56 397 -407
32
2018
Rate of penetration (ROP) optimization in drilling with vibration control
Chiranth Hegde , Harry Millwater , Michael Pyrcz , Hugh Daigle
Journal of Natural Gas Science and Engineering 67 71 -81
8
2019
Rate of Penetration (ROP) Modeling Using Hybrid Models: Deterministic and Machine Learning
Chiranth Hegde , Cesar Soares , K. E. Gray
Proceedings of the 6th Unconventional Resources Technology Conference
9
2018