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Geological Storage of CO2: Technology Overview and Reservoir Engineering Applications


Disciplines: Reservoir

Course Description

This course will equip petroleum engineers and geoscientists with an overview of various aspects of carbon capture and sequestration (CCS) projects in saline aquifers and depleted oil and gas fields. It will also help them understand how reservoir engineering practices and technologies developed in oil and gas exploration and production and underground natural gas storage can be adapted for CCS applications.


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.
CCS is considered a potentially effective technology for the reduction of CO2 emissions from large stationary sources such as power generation units or chemical processing plants. Widespread adoption of carbon capture and storage technology is needed to meet the Paris Agreement’s goal of limiting the rise in the global temperature to well below 2°C. 

Course Content
Day 1 – Overview of Carbon Capture and Storage

  • Session 1 (830-1000): Climate-energy nexus (45 min); Basics of carbon capture, pipeline transport and geological storage (45 min)
  • Session 2 (1015-1200): Capacity, injectivity and containment concepts (3x30 min each)
  • Session 3 (115-300): CO2 EOR and storage in depleted oil fields (60 min); Assessment of various risk factors (30 min)
  • Session 4 (315-500): Project economics (30 min); Permitting process for CCS (30 min); Current status and future outlook for CCS worldwide (30 min)

 
Day 2 – Reservoir engineering applications

  • Session 1 (830-1000): CO2-brine PVT properties (15 min); Saline aquifer characteristics (15 min); Storage capacity estimation (30 min); Single-phase pressure propagation (30 min)
  • Session 2 (1015-1200): Two-phase immiscible displacement; Relative permeability & capillary pressure (30 min); Pressure and CO2 plume propagation estimation in saline aquifers with simplified models (60 min)
  • Session 3 (115-300): Class exercise – performance assessment for CCS project (90 min)
  • Session 4 (315-500): Discussion of class exercise (30 min); Role of numerical models in CCS projects (45 min); Wrap-up (15 min)

Class Exercise: Participants will use a case study based on an existing US EPA Class VI permit application (for CO2 geologic sequestration wells) to: (1) develop a simplified model of the geologic storage complex, (2) predict the evolution of the CO2 plume and the Area of Review (pressurized region of influence), and (3) compare these against available detailed numerical modeling results.  A modeling template in Excel will be provided.
 

Learning Level

Introductory

Course Length

This is a 2-day classroom course comprising a mixture of lectures, discussion, and class exercise.

Why Attend

Participants will learn to:
1. Articulate the case for CCS
2. Understand basic CO2 capture, transport and geological storage concepts
3. Perform capacity and injectivity estimates for suitable geologic formations
4. Outline monitoring, risk and economic analysis, and permitting needs for CCS
5. Analyze CO2-EOR vis-à-vis saline storage opportunities
6. Participate in a class exercise to assess the performance of a CCS project

Who Attends

This foundation-level 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.  It is also suitable for researchers working in the area of CCS who may not have a reservoir engineering background.

CEUs

1.6 CEUs (Continuing Education Units) are awarded for the 2-day course.

Cancellation Policy

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.

Instructor

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. 

Other courses by this instructor

Applied Statistical Modeling and Data Analytics for Reservoir Performance Analysis
Dr. Srikanta Mishra

There is a growing trend towards the use of statistical modeling and data analytics for analyzing the performance of petroleum reservoirs. The goal is to “mine the data” and develop data-driven insights to understand and optimize reservoir response. The …

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Disciplines: Data Science and Engineering Analytics | Reservoir

Energy Transition for Oil & Gas Professionals
Dr. Srikanta Mishra

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 …

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Disciplines: Health, Safety, Environment, and Sustainability

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