The use of microseismic technology to optimize fracture connectivity in unconventional reservoirs
- king fahd university for petroleum and mineral, College of petroleum engineering and geosciences, Saudi Arabia (g202002400@kfupm.edu.sa)
The use of microseismic technology to optimize fracture connectivity in unconventional reservoirs
Mahmoud Mowafi, Ibrahim Alhilali, Ali AlEid, Mohammed Hamza, Sherif Allam and SanLinn Kaka
College of Petroleum Engineering and Geosciences
King Fahd University of Petroleum and Minerals
Dhahran 31261, Saudi Arabia
Unconventional reservoirs represent a challenging scenario to optimize the subsurface connectivity and production efficiencies. Heterogeneity is one of the main factors impacting well capability. Furthermore, the size and quality of the interconnected fracture network consequently enhance reservoir stimulation and permeability. We undertake this study to review the impact and efficiency of microseismic monitoring technology in 1) determining the growth of hydraulic fracture, 2) enhancing the understanding of fracture networks, 3) evaluating risks, and 4) estimating the production values of unconventional resources. We subsequently develop a workflow to predict the possible range of stimulated reservoir volume using available data compiled from various literature. Our data were mainly from North American and China. The data were processed and analyzed considering the variations in rock properties and the hydraulic fracturing designs. Fracture heights and growth geometry were identified. No significant variations within the fracture heights were noticed among different plays. The workflow developed in this study enables us to predict stimulated reservoir volume in order to optimize the fracturing design which plays an important role in improving the recovery ratio of unconventional reservoirs.
How to cite: Gomaa, M., Alhilali, I., AlEid, A., Hamza, M., Allam, S., and Kaka, S.: The use of microseismic technology to optimize fracture connectivity in unconventional reservoirs, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-977, https://doi.org/10.5194/egusphere-egu22-977, 2022.