Project Abstract

Ensuring efficient and sustainable oil and gas production is a critical challenge facing the energy industry. Accurate reservoir modeling and simulation are essential for optimizing production, maximizing recovery, and minimizing environmental impact. This project aims to develop advanced simulation techniques to enhance the optimization of reservoir production, leading to significant improvements in operational efficiency and economic viability. The primary objective of this project is to investigate the application of state-of-the-art simulation methods to optimize the production of hydrocarbon reservoirs. Conventional reservoir simulation approaches often rely on simplified models and assumptions, which can limit their accuracy and flexibility in capturing the complex physical and geological processes involved in hydrocarbon extraction. This project will explore the use of more advanced simulation techniques, such as multiphase flow modeling, coupled geomechanical analysis, and data-driven methods, to provide a more comprehensive and accurate representation of reservoir behavior. One of the key aspects of this project is the integration of these advanced simulation tools with optimization algorithms. By coupling the simulation models with optimization techniques, the project will seek to identify the optimal operational strategies for reservoir production, including well placement, production rates, and injection schemes. This approach will enable decision-makers to make informed choices that balance the objectives of maximizing production, minimizing operational costs, and reducing environmental risks. The project will commence with a comprehensive review of the current state-of-the-art in reservoir simulation and optimization techniques. This will involve a thorough examination of the academic and industry literature, as well as consultations with subject matter experts. Based on this review, the project team will develop a robust and flexible simulation framework that can incorporate the necessary physical, geological, and operational complexities of the targeted reservoirs. Next, the project will focus on the development and validation of the advanced simulation models. This will involve the integration of multiphase flow modeling, geomechanical analysis, and data-driven approaches to capture the multifaceted nature of reservoir behavior. The simulation models will be calibrated and validated using comprehensive field data, ensuring their accuracy and reliability in representing real-world reservoir conditions. The optimized production strategies will be explored through the coupling of the simulation models with optimization algorithms. These algorithms will seek to identify the optimal combination of operational parameters, such as well placement, production rates, and injection schemes, that maximize the overall production and economic performance of the reservoir, while minimizing environmental impact. The project will culminate in the development of a decision-support tool that integrates the advanced simulation and optimization capabilities. This tool will enable operators and decision-makers to explore various production scenarios, evaluate the trade-offs between competing objectives, and make informed decisions that optimize the overall performance of their hydrocarbon reservoirs. The successful completion of this project will contribute to the advancement of reservoir engineering practices, leading to improved operational efficiency, enhanced recovery, and reduced environmental footprint in the oil and gas industry. The findings and the developed decision-support tool will be disseminated through publications, conferences, and collaborations with industry partners, ensuring the widespread adoption and impact of the project's outcomes.

Project Overview