Advanced Reservoir Simulation Techniques Improving Oil Recovery Across Diverse and Complex Reservoir Systems

• Author(s): Lymmy Ogbidi; Benneth Oteh
• Paper ID: 1712854
• Page: 155-177
• Published Date: 31-12-2018
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 2 Issue 6 December-2018

Abstract

Advanced reservoir simulation techniques play a pivotal role in optimizing oil recovery from diverse and complex reservoir systems. These techniques integrate multi-disciplinary data, such as geological, petrophysical, and fluid flow properties, to enhance understanding of reservoir behavior and improve recovery strategies. Traditional reservoir simulation models, though effective, have limitations in handling the complexities of heterogeneous and unconventional reservoirs. To address these challenges, modern simulation methods, including coupled flow and geomechanics, hybrid models, and machine learning algorithms, are being increasingly employed. These advanced techniques allow for more accurate predictions of reservoir performance and enable the design of improved enhanced oil recovery (EOR) processes. One significant advancement in simulation technology is the integration of real-time data through history matching, enabling dynamic reservoir models that adapt to field conditions. The incorporation of geomechanics in the modeling process further enhances the accuracy of subsurface behavior predictions, especially in reservoirs subject to tectonic stresses or fluid-induced fractures. Furthermore, machine learning algorithms are being utilized to optimize model calibration and facilitate predictive analytics, ensuring faster decision-making with higher confidence levels. In challenging environments such as deepwater, shale, and tight gas reservoirs, advanced simulation methods have demonstrated significant improvements in oil recovery efficiency. These techniques also aid in better managing production risks by providing more accurate forecasts of reservoir depletion and optimizing resource allocation. Ultimately, the application of advanced reservoir simulation techniques leads to substantial increases in oil recovery factors, enhanced reservoir management, and more sustainable operations. As reservoir complexity continues to grow, these simulation methods will remain essential tools in the oil and gas industry, driving innovation and operational excellence. Future advancements in computational power and artificial intelligence are expected to further revolutionize reservoir simulation, enabling more precise and scalable solutions for oil recovery across a wide range of geological settings.

Keywords

Reservoir Simulation, Oil Recovery, Geomechanics, Machine Learning, Enhanced Oil Recovery, Heterogeneous Reservoirs, Predictive Analytics, Computational Power, Geological Settings.

Citations

IRE Journals:
Lymmy Ogbidi, Benneth Oteh "Advanced Reservoir Simulation Techniques Improving Oil Recovery Across Diverse and Complex Reservoir Systems" Iconic Research And Engineering Journals Volume 2 Issue 6 2018 Page 155-177

IEEE:
Lymmy Ogbidi, Benneth Oteh "Advanced Reservoir Simulation Techniques Improving Oil Recovery Across Diverse and Complex Reservoir Systems" Iconic Research And Engineering Journals, 2(6)