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Guillaume Moog, Ph.D. Email & Phone Number

Subsurface and Data Science Advisor at AI Quantitative
Location: Norman, Oklahoma, United States 14 work roles 3 schools
2 work emails found @aeraenergy.com 3 phones found area 925 and 415 LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 2 work emails · 3 phones

Work email g****@aeraenergy.com
Direct phone (925) ***-****
LinkedIn Profile matched
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Current company
AI Quantitative
Role
Subsurface and Data Science Advisor
Location
Norman, Oklahoma, United States

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.

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Email format at AI Quantitative

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*@aeraenergy.com
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Profile bio

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.

Current workplace

Guillaume Moog, Ph.D.'s current company

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AI Quantitative
Ai Quantitative
Subsurface and Data Science Advisor
Norman, OK, US
14 roles

Guillaume Moog, Ph.D. work experience

A career timeline built from the work history available for this profile.

Subsurface And Data Science Advisor

Ai Quantitative

Norman, Ok, Us

Subsurface & Data Science Advisor

Current
Ai Quantitative

Providing 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.

Aug 2023 - Present

Reservoir Modeling Lead - Carbon Storage / Ccs

Bakersfield, Ca, Us

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✔ Developed a Python, automated “Abandoned wells” liabilities score system and associated insightful Tableau analytics capable of identifying problematic wells in minutes instead of months.

Apr 2022 - Jul 2023

Principal Product Manager

Englewood, Colorado, Us

. 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 programs' solution deliveries.Key Accomplishments:✔ Successfully directed and delivered 20+ cross-functional innovative digital products through a mix of on-premise/cloud Agile development efforts and BI over the past 3 years✔ Spearheaded the development of a Python / SEEQ/SQL business-critical, near real-time, time-series outlier detection pipeline deployed for > $150MM/year revenue surveillance✔ Authored company's SQL pipeline and Python / Spotfire cross-functional data integration data science reserves product responsible for >$30MM annual CAPEX program decision✔ Led the conceptualization and development of SPR's Azure ML/Spotfire 'DiatOM' model for thermal diatomite cyclic well prediction with $131 MM @ $100 oil impact in its first 12 months.

Mar 2019 - Apr 2022

Senior Reservoir Engineer

Englewood, Colorado, Us

. 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 helping reduce intervention time on plugged flowlines by more than 14x

Dec 2018 - Mar 2019

Data Science & Subsurface Innovation Product Manager

Bakersfield, Ca, Us

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 reporting.✔ Developed novel quantitative approach and mentored less experienced teammates in use of statistics and 3d modeling using Python and Petrel leading to $7MM drilling costs reduction on 1 project✔ Reduced steam waste and steam measurement costs by 40% using data-mining and statistical analysis in Tableau

Oct 2017 - Nov 2018

Reservoir Engineer

Bakersfield, Ca, Us

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, and other engineers as key liaison and integrate all their insights for senior leadership.Assist other teams with projects that involve conducting complex reservoir calculations such as rate transient analysis, decline analysis, reservoir volumetrics, and reserves estimates. Key accomplishments:✔ Authored simulation data processing pipeline and product from uncertainty quantification leading to 28x increase in processing capacity and $25MM project NPV gain✔ Selected to be internal Reservoir Simulation technical peer reviewer on 4 including business-critical projects✔ Initiated Python data wrangling and processing of a failed sensor's SCADA time-series data leading to a breakthrough Rate Transient Analysis on lead exploration asset resulting in 1 strategic partnership

Aug 2014 - Oct 2017

Production Engineer

Bakersfield, Ca, Us

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 artificial lifts through applying domain knowledge in combination with a multivariate regression product leading to 9% production gain instead of the 4% expected decline ✔ Led a data acquisition pipeline upgrade, SQL database cleanup towards a company-wide failure analysis product development in Tableau resulting in up to a 2x factor unknown-difference between assets with a $7MM/year saving impact

Sep 2013 - Jul 2014

Reservoir Technology And Geosciences Development Project Lead

Stanford University Petroleum Research Institute

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✔ Created new industry-leading engineering C++ products for fracture modeling (DFN) and challenging geology, significantly enhancing flow modeling on 100s of worldwide complex fields (like Kashagan or Tengiz)✔ Developed an integrated and innovative modeling pipeline for complex geological environments using unstructured grids and advanced numerical methods (MPFA) in Matlab, Python and C++ delivering 2 software products with 2 novel parallel discretization algorithms

Sep 2007 - Jun 2013

Simulation Engineer

San Ramon, Ca, Us

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 capacity increase✔ Generated exclusive and non-intuitive insights reviewing field development alternatives and quantify uncertainties under 3 months ✔ Communicated novel operation and development best practice delivering a significantly more robust risk mitigation plan✔ Delivered findings to the business team for international publication (media)

Jun 2010 - Aug 2010

Software Engineer (Reservoir Simulation Modeling Domain)

San Ramon, Ca, Us

✔ 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

Jun 2009 - Aug 2009

Software Engineer (Geosciences Modeling Domain)

Houston, Texas, Us

✔ 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%

Jul 2008 - Sep 2008

Software Engineer (Geosciences Modeling Domain) - Sequence Stratigraphy Team

San Ramon, Ca, Us

✔ 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 while cutting 90% of licenses usage

May 2006 - Aug 2007

Construction Site Foreman Intern

Nanterre, Île-De-France, Fr

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 business.

Jul 2005 - Aug 2005
3 education records

Guillaume Moog, Ph.D. education

Doctor Of Philosophy (Phd), Petroleum Engineering

Stanford University

Master Of Science, Geological And Earth Sciences/Geosciences

Institut National Polytechnique De Lorraine

Geological Engineer, Geology - Computer Sciences

Ecole Nationale Superieure De Geologie De Nancy (Gocad School)
FAQ

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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