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Dingzhou Cao
Dingzhou Cao
WPX Energy
Verified email at wpxenergy.com - Homepage
Title
Cited by
Cited by
Year
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
682013
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
532005
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
482010
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, 2020
382020
Rapid development of real-time drilling analytics system
D Cao, C Loesel, S Paranji
SPE/IADC Drilling Conference and Exhibition, D021S012R003, 2018
242018
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
232019
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
182020
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
142020
Novel models and algorithms for systems reliability modeling and optimization
D Cao
Wayne State University, 2011
142011
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
132019
Building a General and Sustainable Machine Learning Solution in a Real-Time Drilling System
Y Ben, W Han, C James, D Cao
IADC/SPE International Drilling Conference and Exhibition, 2020
122020
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
112012
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
92013
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
82020
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
82020
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
72019
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
32020
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
32016
Applications of Deep Learning Methodology in Real-Time Completion Event Recognition
Y Shen, D Cao, K Ruddy
Machine Learning and the Physical Sciences Workshop at the 33rd Conference …, 2019
22019
Real-Time Drilling and Completion Analytics: From Cloud Computing to Edge Computing and Their Machine Learning Applications
D Cao, J Xue, Y Sun
Machine Learning Applications in Subsurface Energy Resource Management, 73-90, 2022
2022
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