Dingding Chen Email & Phone Number
@halliburton.com
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Who is Dingding Chen? Overview
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Dingding Chen is listed as Chief Scientific Advisor at PipeSense at PipeSense, a company with 10 employees, based in Greater Houston, United States, United States. AeroLeads shows a work email signal at halliburton.com and a matched LinkedIn profile for Dingding Chen.
Dingding Chen previously worked as Chief Scientific Advisor at Pipesense and Chief Scientific Advisor at Proflex Technologies Inc. Dingding Chen holds Doctor Of Philosophy - Phd, Electrical And Computer Engineering from Oklahoma State University.
Email format at PipeSense
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AeroLeads found 1 current-domain work email signal for Dingding Chen. Compare company email patterns before reaching out.
About Dingding Chen
Very strong educational and professional background in electrical and computer engineering, mechanical engineering and petroleum engineering with recognized R & D expertise on AI/ML/CNN, modeling/simulation, signal processing, and statistic analytics. Worked on diverse projects in pipeline leak detection, synthetic well log generation, drilling parameter optimization, mud pulse recognition, pressure sampling and testing, downhole fluid typing, optical sensor adaptive calibration, hydraulic fracturing modeling, and completion tool design optimization during 20+ years career in oil and gas industry. Proficient at multiple programing languages (MATLAB, Python & R, SQL, C & C#, SAS). Awarded more than 60 US patents and the authors of more than 30 publications. Member of SPE since 2000 and member of SPWLA since 2005. Past (2008) Dallas Chapter Chair of the IEEE Computational Intelligence Society.
Listed skills include Engineering, Data Mining, Modeling, Optimization, and 6 others.
Dingding Chen's current company
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Dingding Chen work experience
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Chief Scientific Advisor
CurrentChief Scientific Advisor
Advanced signal processing and pipeline leak detection algorithms development
Senior Data Scientist
Synthetic well log generation and software development
Scientific Advisor
Developed and commercialized the methods and procedures for robust downhole fluid analysis using Concatenated Optical Computing Networks (COCN) that combine optical sensor data transformation networks and fluid characterization networks. The new COCN developments enable two-directional forward and reverse progressive modeling to improve the calibration of.
Technical Advisor-Consulting
Developed pressure pulse testing optimization method which can be applied to very low permeability reservoir testing with wireline formation tester for quick stabilization in determining multiple reservoir parameters. The integrated workflow includes pre-design optimization, test execution and automation, calibration transfer and inverse.
Technical Advisor
Developed an integrated solution method in determining minerals of complex shale reservoirs from geochemical inputs. Compared with using conventional normative analysis alone, the new method using multi-disciplinary model fusion (intelligent linear programming, feed-forward neural network and normative analysis) reduces mineral prediction error up to 30.
Principal Scientist-Research
Played a vital role in development of Halliburton CHI Modeling System for predicting open-hole triple-combo data (porosity, density and resistivity) using cased-hole pulsed neutron inputs with neural networks. Invented and commercialized a variety of multi-objective genetic algorithms (MOGA) in selecting member neural networks to construct surrogate model.
Senior Scientist
Completed feasibility and permanent magnet life studies for development of Halliburton DepthStar magnetic actuator for the use of subsurface safety valves. The product received 2004 Woelfel Best Mechanical Engineering Achievements, OTC Spotlight on New Technology, and Energy Institute Technology Awards.Developed a dynamic calibration method for quartz.
Research Assistant
Developed a number of novel neural network training algorithms using the second derivative information of validation data, validation-set-based Bayesian regularization, and re-trained early stopping. Completed a solution book for neural network class which was published with revised text book.Conducted joint research with Cummins Engine on soft sensor.
Dingding Chen education
Doctor Of Philosophy - Phd, Electrical And Computer Engineering
Master Of Science - Ms, Electrical And Computer Engineering
Master Of Science - Ms, Agricultural Engineering
Bachelor Of Science - Bs, Mechanical Engineering
Frequently asked questions about Dingding Chen
Quick answers generated from the profile data available on this page.
What company does Dingding Chen work for?
Dingding Chen works for PipeSense.
What is Dingding Chen's role at PipeSense?
Dingding Chen is listed as Chief Scientific Advisor at PipeSense at PipeSense.
What is Dingding Chen's email address?
AeroLeads has found 1 work email signal at @halliburton.com for Dingding Chen at PipeSense.
Where is Dingding Chen based?
Dingding Chen is based in Greater Houston, United States, United States while working with PipeSense.
What companies has Dingding Chen worked for?
Dingding Chen has worked for Pipesense, Proflex Technologies Inc, Quantico Energy Solutions, Halliburton Energy Services, and Halliburton.
How can I contact Dingding Chen?
You can use AeroLeads to view verified contact signals for Dingding Chen at PipeSense, including work email, phone, and LinkedIn data when available.
What schools did Dingding Chen attend?
Dingding Chen holds Doctor Of Philosophy - Phd, Electrical And Computer Engineering from Oklahoma State University.
What skills is Dingding Chen known for?
Dingding Chen is listed with skills including Engineering, Data Mining, Modeling, Optimization, Simulations, Machine Learning, Petroleum Engineering, and Software Development.
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