Energy Transition for Oil & Gas Professionals
Disciplines: Health, Safety, Environment, and Sustainability
There is growing recognition that a new energy paradigm is needed to curb the buildup of anthropogenic CO2 emissions in the atmosphere and the corresponding global warming related impacts. Many countries and companies are embarking on ambitious programs to reduce their carbon footprint and switch from carbon-intensive fossil fuels to greener energy feedstocks and carriers. This course is designed to help oil and gas professional position themselves for the impending energy transition by gaining an understanding of the relevant concepts/technologies and how they relate to their E&P expertise.
The course includes the following modules:
- New Energy Economy
- Energy usage, CO2 emissions, global warming
- Energy – climate nexus
- Decarbonization pathways
- Carbon Capture and Storage (CCS)
- Rationale and business case for CCS
- Assessment of storage capacity, injectivity and containment
- Risk analysis, economic evaluation and permitting issues
- Current status and future outlook
- Hydrogen Utilization and Hydrogen Underground Storage (HUS)
- Hydrogen as energy feedstock and carrier
- Analogy of HUS with underground gas storage and CCS
- Storage in salt caverns v/s depleted reservoirs v/s aquifers
- Characterization, modeling and operational considerations
- Environmental, Social and Governance (ESG) Criteria
- E - Performance as stewards of nature and environment
- S - Managing relationships with employees, stakeholders and community
- G - Leadership, compensation, audits and controls, and shareholder rights
- Provides a comprehensive overview of energy transition concepts that are relevant to the new energy economy and relatable to oil and gas professionals
- Introduces new technologies pertinent to decarbonization strategies and discusses how E&P expertise can be adapted to these
- Presents a balanced perspective on energy-climate nexus issues
Oil and gas professionals (technical staff, managers, executives) who are interested in obtaining a foundational understanding of energy transition related concepts and technologies, and how to leverage their E&P related expertise for new energy economy opportunities.
0.8 CEUs are awarded for this 1-day course.
All cancellations must be received no later than 14 days prior to the course start date. Cancellations made after the 14-day window will not be refunded. Refunds will not be given due to no show situations.
Training sessions attached to SPE conferences and workshops follow the cancellation policies stated on the event information page. Please check that page for specific cancellation information.
SPE reserves the right to cancel or re-schedule courses at will. Notification of changes will be made as quickly as possible; please keep this in mind when arranging travel, as SPE is not responsible for any fees charged for cancelling or changing travel arrangements.
We reserve the right to substitute course instructors as necessary.
Dr. Srikanta Mishra is the Technical Director for geo-energy modeling and analytics at Battelle Memorial Institute, the world's largest independent contract R&D organization. He also serves as the Technical Lead for US DOE's SMART (Science-Informed Machine Learning for Accelerating Real-Time Decisions for Subsurface Applications) Initiative involving multple national labs, universitities and research organizations. He has taught short courses on statistical modeling and data analytics at various professional conferences and client locations in the US and overseas. He is the auther of " Applied Statistical Modeling and Data Analytics for the Petroleum Geosciences" published by Elsevier, editor of forthcoming book "Machine Learning Applications in Subsurface Energy Resource Management: State of the Art and Future Prognosis" to be published by CRC press and author/co-auther of over 200 technical publications. Dr Mishra is the recipient of the SPE Data Science and Engineering Analytics Award for 2022 and SPE Distinguished Membership award for 2021. He also served as SPE Distinguished Lecturer for 2018-2019 on "Big Data Analytics: what can it do for petroleum engineers and geoscientists" He holds a PhD degree from Stanford University, an MS degree from University of Texas and Btech degree from Indian School of Mines- all in petroleum engineering.