Risk Modeling for Offshore Energy: Success Path Method
The Risk Modeling for Offshore Energy: Success Path Method micro-credential is jointly developed by Argonne National Laboratory, Tulane University, and the University of Houston (UH). This online credential introduces learners to the principles of process safety and quality management, the Success Path Method (SPM), and risk assessment used to identify hazards, mitigate risks, and improve operational reliability in offshore energy systems. Through a combination of theory, case studies, and practical applications, participants gain insight into how safety frameworks support safe, reliable, and resilient operations. The curriculum covers foundational safety methodologies and real-world applications involving drilling, well intervention operations, and offshore wind turbine systems. By combining academic rigor with national laboratory expertise, the program equips learners with practical skills to assess risk and support safer decision-making across offshore energy and industrial operations.
Overview
Duration
8 Weeks
Format
Online/Asynchronous
Price
Free
Deadline
November 2026
Why this Credential?
Risk management and process safety are essential to maintaining safe, reliable, and resilient energy operations. This micro-credential introduces participants to proven methodologies for identifying hazards, assessing risk, and implementing effective safety management systems (SMS) practices in offshore energy environments. Through a blend of foundational concepts and real-world applications, learners will explore how SMS principles and Success Path Method (SPM) are applied across offshore oil and gas and offshore wind systems. Participants will gain practical knowledge that supports safer decision-making, improved operational reliability, and stronger risk management capabilities.
Who Should Enroll?
This micro-credential is designed for:
- Undergraduate and graduate students interested in energy, engineering, safety, and risk management.
- Early-career professionals seeking foundational knowledge in process safety and risk assessment.
- Engineers and technical professionals working in energy, industrial, manufacturing, infrastructure, or related sectors.
- Safety, operations, and risk management professionals seeking to strengthen their understanding of hazard identification and risk mitigation.
- Individuals interested in offshore energy systems, operational reliability, and safety best practices.
No prior offshore energy experience is required.
This program is designed for both students and professionals looking to build foundational
knowledge in safety management, risk assessment, and operational risk reduction.
Curriculum
The program consists of 8 weeks of online coursework focused on safety management, risk assessment methodologies, and their application to offshore energy systems.
Core Topics Include
- Safety Fundamentals and Risk Assessment
- Risk-Informed Safety Assessments
- Success Path Method (SPM) as a Risk-Informed Safety Assessment and Management Approach
- Advanced SPM Implementation Strategies
- Blowout Preventer (BOP) Systems and Safety Considerations
- SPM Applications in Offshore Oil and Gas
- SPM Applications in Offshore Wind Energy
What You Will Earn
Upon successful completion of the Risk Modeling for Offshore Energy: Success Path Method micro-credential, participants will earn a digital certificate from the University of Houston. This credential recognizes knowledge in safety, risk assessment, and Success Path Method (SPM) for offshore energy applications. The certificate can be added to your LinkedIn profile, résumé, CV, and professional portfolio to showcase your commitment to safety, risk management, and professional development.
Instructors
Ramanan Krishnamoorti
VP for Energy and Innovation, Professor of Petroleum Engineering, Professor of Chemistry,
University of Houston
Dave Grabaskas
Group Manager, Licensing & Risk Assessments, Nuclear Science and Engineering (NSE)
Division, Argonne National Laboratory
Dan Shantz
Associate Dean for Research and PhD Programs, Professor, The Entergy Chair in Clean
Energy Engineering, Tulane University
Principal Energy Systems Engineer, Energy Systems and Infrastructure Assessment (ESIA) Division, Argonne National Laboratory
Sinem Perk
Principal Systems Scientist, Energy Systems and Infrastructure Assessment Division
(ESIA),
Argonne National Laboratory
Erna Grelle
Principal Energy Systems Analyst, Energy Systems and Infrastructure Assessment (ESIA)
Division, Argonne National Laboratory
Risk Analyst, Nuclear Science and Engineering (NSE) Division, Argonne National Laboratory
Yisha Xiang
Associate Professor, Industrial Engineering, University of Houston
Kyriakos D. Papadopoulos
Professor, School of Science & Engineering, Tulane University
Nabin Hitang
Graduate Research Assistant
University of Houston
Parviz Azizoz
Graduate Research Assistant
Tulane University