Guillaume Moog, Ph.D. Email & Phone Number
@aeraenergy.com
3 phones found area 925 and 415
LinkedIn matched
Who is Guillaume Moog, Ph.D.? Overview
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Guillaume Moog, Ph.D. is listed as Subsurface and Data Science Advisor at AI Quantitative, based in Norman, Oklahoma, United States. AeroLeads shows a work email signal at aeraenergy.com, phone signal with area code 925, 415, and a matched LinkedIn profile for Guillaume Moog, Ph.D..
Guillaume Moog, Ph.D. previously worked as Subsurface & Data Science Advisor at Ai Quantitative and Reservoir Modeling Lead - Carbon Storage / CCS at Aera Energy Llc. Guillaume Moog, Ph.D. holds Doctor Of Philosophy (Phd), Petroleum Engineering from Stanford University.
Email format at AI Quantitative
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AeroLeads found 2 current-domain work email signals for Guillaume Moog, Ph.D.. Compare company email patterns before reaching out.
About Guillaume Moog, Ph.D.
. Almost 20 years of raising standards in organizations' complex subsurface and data science projects.. Delivering high value results and new processes leveraging geological and reservoir domain expertise, carbon storage advanced physics, and decision-making techniques under uncertainties.. Diplomatic listener, passionate about learning new domains and skills, teaching to peers and comfortable dealing with the unknown in ever-evolving fields.Specialties: Carbon Storage, Project Management, Reservoir Engineering, Production Engineering, Reservoir Simulation, Geostatistics, Geology, Data Science.
Listed skills include Reservoir Simulation, Reservoir Engineering, Reservoir Management, Geology, and 29 others.
Guillaume Moog, Ph.D.'s current company
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Guillaume Moog, Ph.D. work experience
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Subsurface & Data Science Advisor
CurrentProviding reservoir/subsurface services for Oil & Gas, Carbon and Geothermal energy using domain expertise, data science and AI/ML.I contribute to multi-disciplinary teams with ease and help you achieve your objectives.
Reservoir Modeling Lead - Carbon Storage / Ccs
Leading reservoir engineering aspects for carbon storage project developments, studies, decisionsand permitting.. Providing subsurface support for Class VI, CARB, EIR processes and land positions✔ Successfully supervised AoR modeling resources to delivery class VI permit submission under 8 months✔ Contributor to design of long-term monitoring program✔.
Principal Product Manager
. Develop and maintain corporate's oilfield and subsurface analytics, AI and data science strategy.. Managing a portfolio of 7 cross-functional digital innovation programs encompassing ~60 projects, >50 contributors leveraging Azure/Databricks/Spark/Asana/Azure Devops. Lead and mentor SPR's analytics and data science competence development to support.
Senior Reservoir Engineer
. Midway Sunset - Reservoir Engineer in charge of surveillance, development, reserves and regulatory compliance.Key Accomplishments:✔ Developed unconventional diatomite thermal cyclic reservoir most comprehensive analytics product leveraging Python automation, SQL and Spotfire under 4 months supporting > $150MM revenue✔ Delivered daily Python report.
Data Science & Subsurface Innovation Product Manager
Key accomplishments: ✔ Developed 8 of top 10 company's crowdsourced innovation project ideas leading to appointment as innovation program manager to oversee their implementation✔ Led and advised on the world's largest steam-flood under machine learning project with >15,000 BOPD under management leveraging Asana, Python, A/B testing & Tableau for.
Reservoir Engineer
Spearhead field development planning, risk assessments, and economic evaluations for subsurface acquisitions and reservoir extractions for the company’s largest growth opportunities. Create production forecasts by designing models that assess force, risks, and uncertainties. Collaborate in a cross-functional environment with petrophysicists, geologists.
Production Engineer
Oversaw an oil reservoir that produced 3,000 barrels of oil per day. Managed artificial lift optimizations for 1,000+ wells simultaneously. Designed and implemented well works (infill, redrill, stimulation, perforations, well testing, wellbore maintenance) in a multi-disciplinary environment. Key accomplishments: ✔ Optimized field performance and.
Reservoir Technology And Geosciences Development Project Lead
Led grant-funded project on complex environments (stratigraphy, fault or fracture) reservoir modeling and advanced discretization (MPFA) in collaboration between Stanford, various industry stakeholders and Chevron.Key accomplishments:✔ Served as industry’s advisor on mesh issues leading to ‘next generation’ grid design in collaboration with 4 partners✔.
Simulation Engineer
Studied the 5 Tcf large, naturally fractured, Chuandongbei gas reservoir in China combining Discrete Fracture Network (DFN) modeling approach with an innovative modeling workflow and Design of Experiments.Key accomplishments:✔ Self-directed a C++ / Matlab / Fracman probabilistic-model, pipeline design and implementation resulting in 200X model evaluation.
Software Engineer (Reservoir Simulation Modeling Domain)
✔ Developed a best-in-class, numerical analysis C++ product for unstructured grids modeling within the industry-leading Gocad software implementing 5 distinct parallel algorithms (2 novels)✔ Designed and implemented a discrete fracture network model (DFN) product utilized in the commercial optimization of Chevron’s top-tier assets
Software Engineer (Geosciences Modeling Domain)
✔ Developed Command-line interface C++ product for a multi-points statistics algorithm under 3 months✔ Delivered a VBA / Excel-based, user-friendly, reservoir modeling screening product reducing model evaluation time by 90%
Software Engineer (Geosciences Modeling Domain) - Sequence Stratigraphy Team
✔ Re-designed and improved structural restoration algorithms and work pipeline resulting in 80% reduction in product crashes✔ Over-delivered a parallel, commercial-grade C++ product for geological uncertainties quantification under 6 months beating SME's expectations✔ Automated probabilistic reservoir analysis C++ product. Accelerated deliverability 10X.
Construction Site Foreman Intern
Building site project’s management. It included tools and staff management, technical quality controls, outside communication, taking care of the relationship with the customer, accounting of work in progress and expenses tracking. ✔ Deadlines were respected, excellent client satisfaction and increased profitability despite obstacles inherent to the.
Guillaume Moog, Ph.D. education
Doctor Of Philosophy (Phd), Petroleum Engineering
Master Of Science, Geological And Earth Sciences/Geosciences
Geological Engineer, Geology - Computer Sciences
Frequently asked questions about Guillaume Moog, Ph.D.
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What company does Guillaume Moog, Ph.D. work for?
Guillaume Moog, Ph.D. works for AI Quantitative.
What is Guillaume Moog, Ph.D.'s role at AI Quantitative?
Guillaume Moog, Ph.D. is listed as Subsurface and Data Science Advisor at AI Quantitative.
What is Guillaume Moog, Ph.D.'s email address?
AeroLeads has found 2 work email signals at @aeraenergy.com for Guillaume Moog, Ph.D. at AI Quantitative.
What is Guillaume Moog, Ph.D.'s phone number?
AeroLeads has found 3 phone signal(s) with area code 925, 415 for Guillaume Moog, Ph.D. at AI Quantitative.
Where is Guillaume Moog, Ph.D. based?
Guillaume Moog, Ph.D. is based in Norman, Oklahoma, United States while working with AI Quantitative.
What companies has Guillaume Moog, Ph.D. worked for?
Guillaume Moog, Ph.D. has worked for Ai Quantitative, Aera Energy Llc, Sentinel Peak Resources, Stanford University Petroleum Research Institute, and Chevron.
How can I contact Guillaume Moog, Ph.D.?
You can use AeroLeads to view verified contact signals for Guillaume Moog, Ph.D. at AI Quantitative, including work email, phone, and LinkedIn data when available.
What schools did Guillaume Moog, Ph.D. attend?
Guillaume Moog, Ph.D. holds Doctor Of Philosophy (Phd), Petroleum Engineering from Stanford University.
What skills is Guillaume Moog, Ph.D. known for?
Guillaume Moog, Ph.D. is listed with skills including Reservoir Simulation, Reservoir Engineering, Reservoir Management, Geology, Geostatistics, Petroleum Engineering, Characterization, and Modeling.
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