Mark Khait Email & Phone Number
@tudelft.nl
2 phones found area 848 and 212
LinkedIn matched
Who is Mark Khait? Overview
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Mark Khait is listed as Computational Scientist at Stone Ridge Technology, a company with 19 employees, based in Pioltello, Lombardy, Italy. AeroLeads shows a work email signal at tudelft.nl, phone signal with area code 848, 212, and a matched LinkedIn profile for Mark Khait.
Mark Khait previously worked as Senior Computational Scientist at Stone Ridge Technology and Postdoctoral Researcher at Technische Universiteit Delft. Mark Khait holds Doctor Of Philosophy - Phd, Petroleum Engineering from Technische Universiteit Delft.
Email format at Stone Ridge Technology
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AeroLeads found 1 current-domain work email signal for Mark Khait. Compare company email patterns before reaching out.
About Mark Khait
Ambitious, goal-oriented, determined professional with deep knowledge of multiphase flow in the subsurface and expertise in high-performance computing and reservoir modeling. Wide practical experience in development of simulation codes in various international environments. Aspired in improvement of complex modelling frameworks using cutting-edge software and hardware solutions.
Listed skills include Reservoir Simulation, High Performance Computing, C++, Gpu Accelerated Simulation, and 5 others.
Mark Khait's current company
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Mark Khait work experience
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Postdoctoral Researcher
2021-2022: Implementation of multiphase compositional thermal flow solver with gravity, capillarity, diffusion, kinetic and equilibrium reactions, precipitation/dissolution (through OBL approach) in GEOSX framework.2019-2021: GPU based compositional simulation using OBL parametrization approach. Study of performance improvement strategies for GPU based.
Doctoral Researcher
After spending 11 years in the oil&gas industry, I moved on back to academia to learn more about reservoir modelling on the non-linear level. Inspired by the parametrization approach to aid flash calculations in compositional space (CSP), together with my supervisor Denis Voskov, we developed a novel linearization approach and found out that it improves.
Computational Scientist Intern
Development and implementation of GPU-based Sequential Gaussian Simulation. The results were presented at the Fourth EAGE Workshop on High Performance Computing for Upstream (2019).
Research & Development Intern
During this internship, I learned the principles of machine learning and convolutional neural networks (CNN) in particular. Working with Geology Technology Team, I development of a deep learning approach towards carbonate thin section classification according to Dunham textures. Using labelled high-resolution thin section images, CNN with Inception-v3.
Senior Researcher
I worked in a small young team of scientific software engineers and mathematicians. We performed a full cycle of development, deployment, and support of a in-house 3-phase black-oil reservoir simulator. I was focused on implementation of parallel versions of the simulator for shared and distributed memory systems, including high-performance implementation.
Visiting Researcher
I took the opportunity to participate in a collaboration project between Rosneft Oil Company and Stanford University. During 6 month visit, I learned the structure of General Purpose Reservoir Simulator (GPRS), developed by SUPRI-B group in Earth Sciences, and introduced OpenMP thread parallelism in its linear solver library.
Research Assistant
I was introduced to the problems posed by the oil&gas industry in reservoir modelling.In the beginning, I worked on the development of graphical applications for pre- andpost-processing of simulation data (Delphi, Object Pascal). Then, I got an assignment related directly to reservoir simulation - I studied and implemented various algorithmic components of.
Colleagues at Stone Ridge Technology
Other employees you can reach at stoneridgetechnology.com. View company contacts for 19 employees →
Jose Pina
Colleague at Stone Ridge TechnologyCalgary, Alberta, Canada, Canada
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MB
Mahmoud Bedewi
Colleague at Stone Ridge TechnologyEMEA, United States
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KW
Klaus Wiegand
Colleague at Stone Ridge TechnologyMissouri City, Texas, United States, United States
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James (Jim) Gilman
Colleague at Stone Ridge TechnologyCorvallis, Montana, United States, United States
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KV
Krissy Vera
Colleague at Stone Ridge TechnologyHouston, Texas, United States, United States
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EF
Emily Fox
Colleague at Stone Ridge TechnologyUnited Arab Emirates, United Arab Emirates
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KM
Karthik Mukundakrishnan
Colleague at Stone Ridge TechnologyHarford County, Maryland, United States, United States
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Mark Khait education
Doctor Of Philosophy - Phd, Petroleum Engineering
M.Sc. In Information Security (Distinction), Computer And Information Systems Security/Information Assurance, 4.98 / 5
Frequently asked questions about Mark Khait
Quick answers generated from the profile data available on this page.
What company does Mark Khait work for?
Mark Khait works for Stone Ridge Technology.
What is Mark Khait's role at Stone Ridge Technology?
Mark Khait is listed as Computational Scientist at Stone Ridge Technology.
What is Mark Khait's email address?
AeroLeads has found 1 work email signal at @tudelft.nl for Mark Khait at Stone Ridge Technology.
What is Mark Khait's phone number?
AeroLeads has found 2 phone signal(s) with area code 848, 212 for Mark Khait at Stone Ridge Technology.
Where is Mark Khait based?
Mark Khait is based in Pioltello, Lombardy, Italy while working with Stone Ridge Technology.
What companies has Mark Khait worked for?
Mark Khait has worked for Stone Ridge Technology, Technische Universiteit Delft, Tu Delft, Aramco Services Company, and Rn-Ufanipineft.
Who are Mark Khait's colleagues at Stone Ridge Technology?
Mark Khait's colleagues at Stone Ridge Technology include Jose Pina, Mahmoud Bedewi, Klaus Wiegand, James (Jim) Gilman, and Krissy Vera.
How can I contact Mark Khait?
You can use AeroLeads to view verified contact signals for Mark Khait at Stone Ridge Technology, including work email, phone, and LinkedIn data when available.
What schools did Mark Khait attend?
Mark Khait holds Doctor Of Philosophy - Phd, Petroleum Engineering from Technische Universiteit Delft.
What skills is Mark Khait known for?
Mark Khait is listed with skills including Reservoir Simulation, High Performance Computing, C++, Gpu Accelerated Simulation, Machine Learning, Convolutional Neural Networks, Cuda, and Python.
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