Experimental Study on Enhance Heavy Oil Recovery and Potential of CO2 Storage Using CO2 Pre-Fracturing Approach
Year: 2025
Type: article
Abstract: To optimize enhanced oil recovery (EOR) techniques for pre-fractured heavy oil reservoirs, this research conducted long-core flooding experiments using three distinct injection media: CO2, water, and CO2/water alternate huff-n-puff. A 35 cm composite core was employed to simulate the reservoir conditions after pre-fracturing. Experimental results indicated that the CO2 huff-n-puff process yielded the highest oil production, enhancing the overall recovery factor by 33.0% compared to depletion production, with a total recovery factor of 43.8% after four optimized cycles. The CO2/water alternate huff-n-puff process increased the recovery factor by 28.3%, achieving a total of 41.9% after four cycles. In contrast, water injection improved the recovery factor by only 15.2%, reaching a total of 26.2% after three cycles. By evaluating both oil recovery efficiency and oil exchange ratio, the optimal cycle numbers were determined as four cycles for CO2 huff-n-puff, four cycles for CO2/water alternate huff-n-puff, and three cycles for water huff-n-puff. Based on these optimized parameters, the CO2/water alternate huff-n-puff process was identified as the most effective EOR method for the target reservoir. Furthermore, this study assessed the potential for CO2 storage in the reservoir post-production. Calculations of CO2 storage ratios during the huff-n-puff process demonstrated the feasibility of integrating enhanced oil recovery with carbon sequestration. The findings provide a practical strategy for improving heavy oil recovery in low-permeability reservoirs while concurrently exploring the benefits of CO2 storage.
Source: Processes
DOI: 10.3390/pr14010001
Authors: Qian Wang, Hong Dong, Yang Wu, Rui Liu, Xinqi Zhang, Haipeng Xu, Longgan Xie, Jianhao Liu, Xiang Zhou
Language: English
Subfield: Ocean Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,896
OpenAlex ID: W4417489310
