Quantification of CO2 Flow in Organic-Shale Formations Using NMR Saturation Profile Measurements (Uptown)
Downtown Houston
Speaker:
Seminar Date: Dec 17 2025
Registration Opens: Nov 24 2025 - Dec 18 2025
Time: 11:30 AM - 01:00 PM (US CDT)
Admission/Registration Link: None
Donation Link: None
Meeting/Webinar Link: None
Contact: Andrew Hind (VP Downtown, SPWLA Houston Chapter)
Corresponding: vpdowntown@spwla-houston.org
Fees: FREENOTES:
🎓SPWLA Houston Chapter – Uptown Luncheon Seminar
🔬Seminar Title: Quantification of CO2 Flow in Organic-Shale Formations Using NMR Saturation Profile Measurements
🗣️ Speaker: Ali Oshaish
📅 Seminar Date: December 17, 2025
📍 Address: 2200 West Loop South, Lobby Conference Room, Houston, TX 77027
🕦 Time: 11:30 AM - 01:00 PM (US CDT)
🔗 Registration Opens: 11/24/2025 – 12/16/2025
Lunch is free. Please register at lease 1 day before the seminar using the link below.
Contact: Andrew Hind (VP Downtown, SPWLA Houston Chapter) vpdowntown@spwla-houston.org
Parking Fee: $3-$4
NOTES: We are currently searching for a lunch sponsor, please contact Andrew if interested.
ABSTRACT:
Reliable evaluation of CO2 transport in porous rocks is essential for several subsurface applications such as oil recovery and gas storage. Visualizing CO2 front advancement is crucial for oil shales. The goal of this work is to evaluate the front movements during gas Huff-and-Puff (HnP) in shales. A Mancos shale core sample of 3.51% porosity and 112 nD permeability is used. The HnP cycles were performed in a Hassler core holder, with HnP pressure applied only at the sample inlet. Nuclear Magnetic Resonance (NMR) T2 and high-resolution 1D saturation profile measurements were acquired after each cycle to monitor the spatial distribution of kerosene and track the advancement of the CO2 front along the core length. The core is fully saturated with kerosene prior to conducting three CO2 HnP cycles, each performed at an injection pressure of 3,000 psi and varying soaking times of 1 hr, 4.5 hrs, and 12 hrs.
BIOGRAPHY:
Ali Oshaish is a Petroleum Engineer and Graduate Research Assistant at The University of Texas at Austin specializing in petrophysical and fluid-flow characterization of unconventional reservoirs. His work integrates advanced geophysical measurements, such as NMR, dielectric dispersion, and spectral induced polarization, with analytical modeling and AI/ML techniques to quantify petrophysical properties and simulate fluid transport in organic-rich mudrocks. Ali brings over 11 years of oilfield and engineering experience to his research, encompassing wireline formation evaluation and surface production and completion systems with Schlumberger and Cameron. He holds a B.S. and M.S. in Petroleum Engineering from King Fahd University of Petroleum & Minerals and is currently pursuing his Ph.D. at UT Austin. His research focuses on integrating geochemistry, adsorption isotherms, and NMR to enhance reservoir characterization and improve production prediction in unconventional systems.