06 Carbon Capture and Storage

Tuesday, 15 April

1300 - 1500

Area D3

Technical Session

This session will focus on latest methods being implemented to optimize CO2 capture, storage and monitoring. The four presentations will include a strategic assessment for carbon capture options in coal fired power plants, methodologies for predicting CO2 storage performance in subsurface aquifers, and the use machine learning techniques to study greenhouse gas emissions.

Session Chairpersons

Mustafa Al-Alwani - Expand Energy

Mark Van Domelen - Van Domelen International, LLC

1300-1330 224355
Assessment Of CO2 Sequestration In A Stack Storage Complex In The San Juan Basin, NM

V.A. Bodi, W. Ampomah, New Mexico Institute of Mining and Technology; D. Bui, N. Sibaweihi, Petroleum Recovery Research Center
1330-1400 224384
Data-driven Solutions And Artificial Intelligence In The Energy Sector: Leveraging Open GHGRP Data For Emissions Forecasting For U.S. Petroleum And Natural Gas Assets

J. Bairy, O. Shah, Z. Zhang, Enbridge
1400-1430 224354
A Sensitivity-Based Framework Developed for Predicting CO₂ Storage Performance

K. Alokla, G. Moridis, J. Lee, T. Blasingame, Texas A&M University
1430-1500 224335
Opportunities For Carbon Capture And Storage Deployment In Existing Coal-fired Power Plants In Texas

A. Taman, Khalda Petroleum Company; R. Ali, M. Ibrahim Youssif, H. Elnaggar, University of Wyoming; A. Shoukry, Cairo University; A. Shahin, Texas Tech University
Alternate 224379
Design And Application Of A Techno-economic Model For Co₂ Sequestration: A Case Study Of The San Juan Basin

D.O. Koranteng, New Mexico Institute of Mining and Technology; W. Ampomah, New Mexico Inst-Mining & Tech; A. Morgan, A. Ameyaw, New Mexico Institute of Mining and Technology

Technical Program

06 Carbon Capture and Storage