Concepedia

Chiranth Hegde

CH

15

Publications

997

Citations

14

H-Index

2014

Active since

Affiliations

The University of Texas at Austin(Current)

The University of Texas at San Antonio

National Institute of Technology Karnataka

Hillenbrand (United States)

Chiranth Hegde is an author at The University of Texas at Austin specializing in engineering, drilling, and machine learning.

Top concepts

EngineeringDrillingData ScienceMachine LearningDrilling EngineeringPredictive AnalyticsForecastingCivil EngineeringSystems EngineeringData Mining

Publications per year

2014–2019

15

Publications

15

Analysis of rate of penetration (ROP) prediction in drilling using physics-based and data-driven models

Chiranth Hegde, Hugh Daigle, Harry Millwater et al. · Journal of Petroleum Science and Engineering · 2017 · 193 citations

Drilling Mechanics, Engineering, Data Science +8

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 · 2017 · 157 citations

Data-driven Optimization, Engineering, Machine Learning +10

Evaluation of coupled machine learning models for drilling optimization

Chiranth Hegde, K. E. Gray · Journal of Natural Gas Science and Engineering · 2018 · 113 citations

Model Optimization, Data-driven Optimization, Engineering +3

Using Trees, Bagging, and Random Forests to Predict Rate of Penetration During Drilling

Chiranth Hegde, Scott Wallace, K. E. Gray · 2015 · 104 citations

Engineering, Machine Learning, Machine Learning Tool +26

Performance Comparison of Algorithms for Real-Time Rate-of-Penetration Optimization in Drilling Using Data-Driven Models

Chiranth Hegde, Hugh Daigle, K. E. Gray · SPE Journal · 2018 · 73 citations

Artificial Intelligence, Engineering, Machine Learning +23

Rows per page

1–5 of 15