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<p class="MsoNormal"><span style="font-size:13.5pt;font-family:"Arial",sans-serif;color:black"><img width="599" height="171" style="width:6.2395in;height:1.7812in" id="Picture_x0020_2" src="cid:image001.png@01DBB05D.BDF10CE0" alt="Dissertation Defense Announcement at the Cullen College of Engineering"></span><span style="font-size:13.5pt;font-family:"Arial",sans-serif;color:black;mso-ligatures:none"><o:p></o:p></span></p>
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<b><span style="font-size:18.0pt;font-family:"Times New Roman",serif;color:#C8102E;mso-ligatures:none">Development of New Techniques for De-Risking the CO<sub>2</sub> EOR and Sequestration<o:p></o:p></span></b></p>
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<b><span style="font-size:13.5pt;font-family:"Times New Roman",serif;color:black;mso-ligatures:none">Abdulrahman Abdulwarith</span></b><span style="font-size:13.5pt;font-family:"Times New Roman",serif;mso-ligatures:none"><o:p></o:p></span></p>
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<span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black;mso-ligatures:none">April 28, 2025, 10 a.m. to 1 p.m. (CST)<br>
Location: Petroleum Eng. Bldg. (ERP 9) Room 124,or </span><span style="font-size:11.0pt;color:black;mso-ligatures:none"><a href="https://urldefense.com/v3/__https://teams.microsoft.com/l/meetup-join/19*3ameeting_NmRkYTQ4YzUtNzdhYS00NTFmLWE5OGMtNWVhYTYxYmM0ZGUz*40thread.v2/0?context=*7b*22Tid*22*3a*22170bbabd-a2f0-4c90-ad4b-0e8f0f0c4259*22*2c*22Oid*22*3a*22143c812b-0f77-4252-b039-9788badceee8*22*7d__;JSUlJSUlJSUlJSUlJSUl!!LkSTlj0I!Fo8Cc1Ivc55C7WffgbI-K7Nqlpt3nyz8-l4y-7WVQ8wgGCQsqF2SIIPYITVZoolsxFAgqLApH0BKmP2Fw7Ix-rGUWRE$"><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:#0563C1">Virtual
Microsoft Teams Link</span></a></span><span style="font-size:10.5pt;font-family:"Arial",sans-serif;mso-ligatures:none"><o:p></o:p></span></p>
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<b><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black;mso-ligatures:none">Committee Chair:</span></b><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black;mso-ligatures:none"><br>
Birol Dindoruk, Ph.D.</span><span style="font-size:10.5pt;font-family:"Arial",sans-serif;mso-ligatures:none"><o:p></o:p></span></p>
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<b><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black;mso-ligatures:none">Committee Members:</span></b><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black;mso-ligatures:none"><br>
Mohamed Y. Soliman, Ph.D. | Guan Qin, Ph.D. | Kyung Jae Lee, Ph.D. | Dengen Zhou, Ph.D.</span><span style="font-size:10.5pt;font-family:"Arial",sans-serif;mso-ligatures:none"><o:p></o:p></span></p>
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<b><span style="font-family:"Arial",sans-serif;color:#C8102E;mso-ligatures:none">Abstract</span></b><span style="font-family:"Arial",sans-serif;color:#C8102E;mso-ligatures:none"><o:p></o:p></span></p>
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<span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black;mso-ligatures:none">This dissertation explores strategies to reduce greenhouse gas emissions in the oil and gas industry by producing low-carbon oil through CO</span><span style="font-size:10.5pt;font-family:"Cambria Math",serif;color:black;mso-ligatures:none">©ü</span><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black;mso-ligatures:none">
Enhanced Oil Recovery (EOR) integrated with Carbon Capture, Utilization, and Storage (CCUS). As global efforts to mitigate climate change intensify, industry must adopt technologies that lower emissions while sustaining energy output. CO<sub>2</sub>-EOR, which
involves injecting CO<sub>2 </sub>into mature oil fields to enhance oil recovery and store CO<sub>2</sub>, offers a promising approach. However, CO<sub>2</sub>-EOR faces technical, economic, and operational uncertainties that need to be resolved to ensure
its success.<o:p></o:p></span></p>
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<span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black;mso-ligatures:none">This research develops methodologies to de-risk CO</span><span style="font-size:10.5pt;font-family:"Cambria Math",serif;color:black;mso-ligatures:none">©ü</span><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black;mso-ligatures:none">-EOR
operations by optimizing both oil recovery and CO</span><span style="font-size:10.5pt;font-family:"Cambria Math",serif;color:black;mso-ligatures:none">©ü</span><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black;mso-ligatures:none"> storage.
It addresses key challenges such as accurately screening potential reservoirs, optimizing injection strategies, and managing interconnectivity between injection and production wells to minimize CO<sub>2</sub> leakage. Advanced screening methods, proxy predictive
models and fast reservoir simulation approach are introduced for rapid assessment of CO<sub>2</sub>-EOR potential, leveraging data from mature waterflooded reservoirs to identify suitable CO<sub>2
</sub>sequestration sites.<o:p></o:p></span></p>
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<span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black;mso-ligatures:none">To enhance simulation efficiency, this study integrates physics-based models with machine learning, enabling faster and more cost-effective evaluations of complex geological
and operational conditions compared to traditional approaches. This research also explores CO<sub>2</sub>-EOR in different reservoirs, such as Residual Oil Zones (ROZs) and shale formations, optimizing design parameters to maximize oil recovery and CO2 storage.
By incorporating dynamic CO</span><span style="font-size:10.5pt;font-family:"Cambria Math",serif;color:black;mso-ligatures:none">©ü</span><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black;mso-ligatures:none"> PVT behavior into traditional
simulations, this work offers an efficient alternative to full compositional models, supporting long-term planning and risk management.<o:p></o:p></span></p>
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<span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black;mso-ligatures:none">These findings support CO</span><span style="font-size:10.5pt;font-family:"Cambria Math",serif;color:black;mso-ligatures:none">©ü</span><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black;mso-ligatures:none">
sequestration efforts by providing a framework to evaluate CO</span><span style="font-size:10.5pt;font-family:"Cambria Math",serif;color:black;mso-ligatures:none">©ü</span><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black;mso-ligatures:none">-EOR
feasibility, enhance injection performance predictions, and accelerate simulations. These advancements enable the oil and gas industry to implement low-carbon technologies effectively, supporting global climate objectives while maximizing resource recovery.
The proposed approaches can also be implemented in mature and/or marginal reservoirs, and even in transition zones, expanding their practical applicability. Overall, the findings lay a foundation for future research and practical applications in optimizing
CO</span><span style="font-size:10.5pt;font-family:"Cambria Math",serif;color:black;mso-ligatures:none">©ü</span><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:black;mso-ligatures:none">-EOR and CCUS projects, advancing both the engineering
field and the energy transition process.</span><span style="font-size:10.5pt;font-family:"Arial",sans-serif;mso-ligatures:none"><o:p></o:p></span></p>
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