Date of Award
January 2025
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Geological Engineering
First Advisor
Dongmei Wang
Abstract
This study investigates the potential to enhance geothermal sweep efficiency in the fractured, low-permeability Deadwood Formation using a cellulose-based biopolymer and gel treatment. A geological model was developed using well log and structural data from four wells in the Williston Basin and subsequently upscaled into a numerical reservoir simulation in CMG/STARS. Laboratory core-flooding experiments on Deadwood samples were used to calibrate gel behavior under high-temperature (160 °C) and high-salinity (17% TDS) reservoir conditions.Simulation results indicate that a short-duration gel treatment—equivalent to 0.03 pore volumes over one year—can significantly reduce channeling through high-conductivity fractures. The reduction in channeling improves thermal conformance and extends the heat retention capacity of the reservoir. Unlike water injection alone, gel-treated scenarios increased heat recovery by approximately 20%, with lower thermal breakthroughs and improved temperature stability, particularly at 2–5 GPM injection rates. Two horizontal well patterns were evaluated, both yielding favorable economics. The best pattern achieved a Net Present Value (NPV) of over $190 million and a Levelized Cost of Electricity (LCOE) below $16/MWh, indicating strong commercial viability. This work presents one of the first demonstrations of conformance control using biopolymer gels in unconventional geothermal systems. The results support targeted gel treatments as an effective strategy for improving sweep efficiency and economic returns in fractured geothermal reservoirs, particularly those transitioning from hydrocarbon production to renewable heat extraction.
Recommended Citation
Mohammed, Ashraf, "Geothermal Sweep Efficiency Enhancement Potential Analysis Using Geological Modeling And Numerical Simulation On Unconventional Deadwood Formation" (2025). Theses and Dissertations. 7139.
https://commons.und.edu/theses/7139