Efficient exact optimization of multi-objective redundancy allocation problems in series-parallel systems D Cao, A Murat, RB Chinnam Reliability Engineering & System Safety 111, 154-163, 2013 | 71 | 2013 |
Approximation methods for hybrid diffusion systems with state-dependent switching processes: Numerical algorithms and existence and uniqueness of solutions G Yin, X Mao, C Yuan, D Cao SIAM Journal on Mathematical Analysis 41 (6), 2335-2352, 2010 | 53 | 2010 |
Real-time hydraulic fracturing pressure prediction with machine learning Y Ben, M Perrotte, M Ezzatabadipour, I Ali, S Sankaran, C Harlin, D Cao SPE Hydraulic Fracturing Technology Conference and Exhibition, D031S008R003, 2020 | 52 | 2020 |
Forecasting exchange rate using support vector machines DZ Cao, SL Pang, YH Bai 2005 international conference on machine learning and cybernetics 6, 3448-3452, 2005 | 51 | 2005 |
Rapid development of real-time drilling analytics system D Cao, C Loesel, S Paranji SPE/IADC Drilling Conference and Exhibition, D021S012R003, 2018 | 29 | 2018 |
Development and Application of a Real-Time Drilling State Classification Algorithm with Machine Learning Y Ben, C James, D Cao Unconventional Resources Technology Conference, 2019 | 28 | 2019 |
Near real-time hydraulic fracturing event recognition using deep learning methods Y Shen, D Cao, K Ruddy, LF Teixeira de Moraes SPE Drilling & Completion 35 (03), 478-489, 2020 | 23 | 2020 |
The development and application of real-time deep learning models to drive directional drilling efficiency D Cao, D Hender, S Ariabod, C James, Y Ben, M Lee SPE/IADC Drilling Conference and Exhibition, D082S000R003, 2020 | 18 | 2020 |
Building a general and sustainable machine learning solution in a real-time drilling system Y Ben, W Han, C James, D Cao SPE/IADC Drilling Conference and Exhibition, D101S014R002, 2020 | 17 | 2020 |
Developing an Integrated Real-Time Drilling Ecosystem to Provide a One-Stop Solution for Drilling Monitoring and Optimization D Cao, Y Ben, C James, K Ruddy SPE Annual Technical Conference and Exhibition?, D021S019R003, 2019 | 17 | 2019 |
Novel models and algorithms for systems reliability modeling and optimization D Cao Wayne State University, 2011 | 15 | 2011 |
Design of reliable system based on dynamic bayesian networks and genetic algorithm D Cao, S Kan, Y Sun 2012 Proceedings Annual Reliability and Maintainability Symposium, 1-6, 2012 | 11 | 2012 |
Deep learning based hydraulic fracture event recognition enables real-time automated stage-wise analysis Y Shen, D Cao, K Ruddy, LF Teixeira De Moraes SPE Hydraulic Fracturing Technology Conference and Exhibition, D012S012R001, 2020 | 10 | 2020 |
Slide drilling guidance system for directional drilling path optimization C Pehlivantürk, J D'Angelo, D Cao, D Chen, P Ashok, E Van Oort SPE/IADC Drilling Conference and Exhibition, D021S007R002, 2019 | 10 | 2019 |
Optimizing maintenance policies based on discrete event simulation and the OCBA mechanism D Cao, Y Sun, H Guo 2013 Proceedings Annual Reliability and Maintainability Symposium (RAMS), 1-6, 2013 | 9 | 2013 |
Digital transformation strategy enables automated real-time torque-and-drag modeling D Cao, D Hender, S Ariabod, K Ruddy, C James SPE/IADC Drilling Conference and Exhibition, D101S015R002, 2020 | 8 | 2020 |
Rapid Development of Real-Time Drilling Analytics System. IADC/SPE Drilling Conference and Exhibition, 6-8 March, Fort Worth, TX, USA D Cao, C Loesel, S Paranji SPE-189595-MS. https://doi. org/10.2118/189595-MS, 2018 | 5 | 2018 |
A data-driven bit projection system with motor yield prediction and advisory for directional drilling and well trajectory control Y Zhang, D Cao, J Chu, P Ashok, D Chen, E van Oort, B Harclerode, ... Geoenergy Science and Engineering 239, 212987, 2024 | 4 | 2024 |
Development of a ball seat event recognition algorithm with convolutional neural network for the real-time hydraulic fracturing analytics system Y Shen, D Cao SPE Canada Unconventional Resources Conference, D033S004R002, 2020 | 4 | 2020 |
Spare Parts Strategy Based on RAM Analysis to Extend the Life of Drilling Supervisory and Control Systems: A Case Study D Cao, N Moralez SPE/IADC Drilling Conference and Exhibition, D031S024R003, 2016 | 4 | 2016 |