Energy Transition

Energy Transition | Carbon Capture, Storage and Utilisation

Foundational Understanding for Carbon Capture and Storage (CCS)

Course Code: N535
Instructors:  Srikanta Mishra
Course Outline:  Download
Format and Duration
2 days
3 sessions

Summary

Business Impact: This course will equip petroleum engineers, geoscientists, investors and policy makers with a foundational understanding of CCS, and also help them understand how practices and technologies developed in oil and gas exploration and production and natural gas storage can be adapted for CCS applications.

The course provides a practical introduction to Carbon Capture and Sequestration (CCS), considered to be a potentially effective technology for the reduction of CO2 emissions from large stationary sources such as power generation units or chemical processing plants.  The business impact of the course is an understanding of how to evaluate the economics of CCS projects and the future outlook of CCS worldwide. Widespread adoption of carbon capture technology is needed to meet the Paris Agreement’s goal of limiting the rise in the global temperature to well below 2°C.

CCS is the process of: (a) capturing CO2 before it is emitted into the atmosphere, (b) compressing and transporting the CO2 to a geologic storage site, and (c) injecting it into the site for long-term sequestration. The geologic storage site could be a deep saline formation, a depleted oil field, or an active oil field conducting CO2 enhanced oil recovery (EOR). The subsurface operations part of CCS also provides a mechanism for CO2 sources to monetize their emissions through tax credits for long-term geologic storage and/or revenue from incremental oil production due to EOR operations.

Duration and Training Method

This is a classroom or virtual classroom course comprising a mixture of lectures, discussion, and case studies.

Course Overview

Participants will learn to:
  1. Articulate the case for CCS
  2. Understand basic source-sink matching concepts
  3. Perform simple capacity and injectivity estimates
  4. Outline the elements of risk and economic assessment for a CCS project
  5. Analyze CO2-EOR vis-à-vis saline storage opportunities
Topic 1
  • Rationale for CCS
  • Overview of carbon capture technologies
  • Matching stationary sources and geologic sinks

Topic 2

  • Estimation of storage capacity
  • Modeling of reservoir injectivity
  • Monitoring of CO2 plume movement

Topic 3

  • Assessment of wellbore integrity and other risks
  • Combining saline storage with EOR
  • Evaluation of project economics
  • Current status and future outlook for CCS worldwide

This course is designed for petroleum engineers and geoscientists interested in learning about the basics of CCS as an emerging technology for emissions reduction with a significant subsurface operations component.

Srikanta Mishra

Background
 Dr. Srikanta Mishra is Technical Director for Geo-energy Modeling & Analytics at Battelle Memorial Institute, the world’s largest independent contract R&D organization.  He is responsible for leading a technology portfolio related to computational modeling and data analytics for geological carbon storage, improved oil recovery projects, and shale gas/oil development. His recent work has focused on full-physics and reduced-order modeling, and pressure-based monitoring, of CO2 geologic sequestration projects.  He has served as PI or co-PI on a number of CO2 geological storage and EOR projects funded by the US Department of Energy with field demonstration sites in the Appalachian and Michigan Basins.

Dr. Mishra has presented lectures and conducted short courses and workshops on CO2 geologic sequestration in many US universities as well as in academic and research organizations in Switzerland, India, South Africa, UK, Mexico and Indonesia.  He is an editor of the book “CO2 Injection in the Network of Carbonate Fractures” recently published by Springer, and the author of ~200 technical publications.

Dr. Mishra is a member of the Technical Advisory Board of the SMART initiative (Science Informed Machine Learning for Accelerating Real-time Decisions for Subsurface applications) that is organized by the US Department of Energy’s Carbon Storage Program and involves multiple nationals labs and universities.  He was selected as an SPE Distinguished Lecturer for 2018-19 on the topic of Big Data Analytics. He has also served as an Adjunct Professor of Petroleum and Geosystems Engineering at The University of Texas at Austin.  Dr. Mishra holds a PhD degree from Stanford University, an MS degree from University of Texas and a BTech degree from Indian School of Mines – all in Petroleum Engineering.

Affiliations and Accreditation
PhD Stanford University - Petroleum Engineering
MS Stanford University - Petroleum Engineering
BTech  Indian School of Mines - Petroleum Engineering

Courses Taught
N479: Applied Statistical Modeling and Big Data Analytics
N480: Introduction to Statistical Modeling and Big Data Analytics
N535: Carbon Capture Sequestration (CSS)

CEU: 1.6 Continuing Education Units
PDH: 16 Professional Development Hours
Certificate: Certificate Issued Upon Completion
RPS is accredited by the International Association for Continuing Education and Training (IACET) and is authorized to issue the IACET CEU. We comply with the ANSI/IACET Standard, which is recognised internationally as a standard of excellence in instructional practices.
We issue a Certificate of Attendance which verifies the number of training hours attended. Our courses are generally accepted by most professional licensing boards/associations towards continuing education credits. Please check with your licensing board to determine if the courses and certificate of attendance meet their specific criteria.