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<title>Petroleum Engineering</title>
<link href="http://repository.aust.edu.ng/xmlui/handle/123456789/438" rel="alternate"/>
<subtitle>This collection contains master's Theses from 2009 to 2024</subtitle>
<id>http://repository.aust.edu.ng/xmlui/handle/123456789/438</id>
<updated>2026-04-09T16:07:38Z</updated>
<dc:date>2026-04-09T16:07:38Z</dc:date>
<entry>
<title>Optimizing the Nigeria Energy Mix for Cost-Effective and Sustainable Energy Generation</title>
<link href="http://repository.aust.edu.ng/xmlui/handle/123456789/5156" rel="alternate"/>
<author>
<name>Ejeh, Beatrice</name>
</author>
<id>http://repository.aust.edu.ng/xmlui/handle/123456789/5156</id>
<updated>2024-11-28T22:00:58Z</updated>
<published>2024-05-05T00:00:00Z</published>
<summary type="text">Optimizing the Nigeria Energy Mix for Cost-Effective and Sustainable Energy Generation
Ejeh, Beatrice
Nigeria, a nation endowed with diverse energy resources, faces a complex energy landscape characterized by historical reliance on fossil fuels, energy security challenges, and environmental concerns. Diversifying the energy mix is essential to balance the need for cost-effective electricity generation with the imperative of reducing greenhouse gas emissions. This study aims to develop a comprehensive energy mix optimization model for Nigeria. The objectives are twofold: first, to minimize the total cost of electricity generation while maximizing energy security, and second, to reduce greenhouse gas emissions to meet international environmental commitments. &#13;
The research employs a quantitative approach, utilizing mathematical optimization techniques and scenario-based analysis. Decision variables are defined to represent the percentage allocation of gas, hydro, wind, and solar energy sources. The model integrates data on capacity, energy demand, cost per megawatt, and CO2 emissions to assess different energy mix scenarios. Scenario results are visualized using graphs and charts, enabling policymakers and stakeholders to make informed decisions. The study produces a range of optimized energy mix scenarios for Nigeria, considering total energy generation from 25GW to 200GW. These scenarios reflect the trade-offs between cost, renewable energy integration, and carbon emissions reduction. Sensitivity analysis is conducted to assess the robustness of the results. The findings of this study have significant policy implications. They inform decisions related to energy planning, emissions reduction targets, and energy security. The study contributes to Nigeria's commitment to environmental sustainability and aligns with international efforts to combat climate change. Optimizing Nigeria's energy mix is critical for economic stability, energy security, and environmental sustainability. This study provides a structured framework for addressing these challenges, offering practical solutions and policy recommendations that can guide the nation toward a brighter and more sustainable energy future. &#13;
The study's findings aim to strike a balance between economic efficiency and environmental responsibility, reflecting Nigeria's commitment to a sustainable and resilient energy sector.
Main Thesis
</summary>
<dc:date>2024-05-05T00:00:00Z</dc:date>
</entry>
<entry>
<title>Computer Implementation of the Robert's Methods of Waterflood Calculations</title>
<link href="http://repository.aust.edu.ng/xmlui/handle/123456789/5155" rel="alternate"/>
<author>
<name>Uzokwe, Paul Onyebuchi</name>
</author>
<id>http://repository.aust.edu.ng/xmlui/handle/123456789/5155</id>
<updated>2024-11-28T22:01:04Z</updated>
<published>2020-12-15T00:00:00Z</published>
<summary type="text">Computer Implementation of the Robert's Methods of Waterflood Calculations
Uzokwe, Paul Onyebuchi
This study presents a computer implementation of Robert's method for waterflooding, a critical technique in petroleum engineering for optimizing oil recovery. The implementation aims to enhance the accessibility and usability of Robert's method for industry professionals. Utilizing Python and a user-friendly graphical interface, the application allows users to input various parameters and visualize waterflooding scenarios effectively. Through comparative analysis with traditional waterflooding methods, the software provides insights into the performance and efficiency of Robert's approach. Preliminary results demonstrate that the implementation aligns closely with existing simulation tools, showcasing its potential as a practical resource for engineers. This work contributes to the ongoing efforts to refine waterflooding strategies and improve oil recovery outcomes in the field.
Main Thesis
</summary>
<dc:date>2020-12-15T00:00:00Z</dc:date>
</entry>
<entry>
<title>Pore Pressure Prediction in Well Planning and Safe Drilling</title>
<link href="http://repository.aust.edu.ng/xmlui/handle/123456789/5154" rel="alternate"/>
<author>
<name>Igwe, Henry Nnamdi</name>
</author>
<id>http://repository.aust.edu.ng/xmlui/handle/123456789/5154</id>
<updated>2024-11-28T22:01:01Z</updated>
<published>2021-05-02T00:00:00Z</published>
<summary type="text">Pore Pressure Prediction in Well Planning and Safe Drilling
Igwe, Henry Nnamdi
The trend of normal compaction and the pore pressure gradient plays a vital role in oil and natural gas wells designs in well planning and safe drilling. It is imperative to adequately understand the physical principles originating and facilitating these pressures and as well evaluate the models of quantification for a particular geographical area.  This research used Eaton’s depth-dependent normal compaction equations for pore pressure prediction in subsurface formations of geo pressures zones in an onshore well drilled in the Niger Delta region. The research focuses in the normal compaction trends using cores from sonic, density and shale resistivity logs. The method shows a significant magnitude of pore pressure determination with high precision. From those obtainable results, I observed that the accuracy of the prediction depends on the from normal compactions trend.
Main Thesis
</summary>
<dc:date>2021-05-02T00:00:00Z</dc:date>
</entry>
<entry>
<title>Reservoir Simulation Framework to Support Marginal Field Development  Planning</title>
<link href="http://repository.aust.edu.ng/xmlui/handle/123456789/5138" rel="alternate"/>
<author>
<name>Akpobasaha, Oghenerobor</name>
</author>
<id>http://repository.aust.edu.ng/xmlui/handle/123456789/5138</id>
<updated>2024-01-08T22:01:03Z</updated>
<published>2023-05-05T00:00:00Z</published>
<summary type="text">Reservoir Simulation Framework to Support Marginal Field Development  Planning
Akpobasaha, Oghenerobor
Dynamic simulators are practical tools used in the oil and gas industry to help make informed decisions, optimize production, reduce risks, and maximize hydrocarbon recovery. They are fundamental for the success and profitability of oil and gas operations, playing a vital role in reservoir engineering and management practices. The objective of this study is to propose an optimal development framework for a marginal field located offshore in the southeast Niger Delta, where only available data are from neighboring fields. The process involves estimating volumes of hydrocarbon-bearing sands through reservoir characterization and static modeling, developing a simulation model, and using it, along with decline curve analysis, to estimate produced hydrocarbon volumes. Next, production constraints are formulated for infill wells using a well simulator to determine optimal flow rates and tubing sizes. An optimized production strategy is then developed by analyzing the sensitivity of the constraints and parameters to oil recovery. Sensitivity analyses were conducted on Tubing Head Pressure (THP) and injection rates to identify the most effective production strategy throughout &#13;
the 15-year life of field Finally, an economic analysis is performed to assess the project profitability. The study also includes identifying and assessing the environmental, subsurface, and surface risks associated with the field development plan. Based on these findings, it is recommended that the proposed reservoir simulation framework used in the Ratson Sand C project can be applied to similar fields to achieve maximum recovery.
Main Thesis
</summary>
<dc:date>2023-05-05T00:00:00Z</dc:date>
</entry>
</feed>
