Electromagnetically driven heavy oil recovery is considered as an alternative or as a complementary technique to steam injection methods. Inductive electromagnetic heating (IH) of heavy oil reservoir represents a complicated multi-physics process affected by operating conditions, reservoir and fluid properties. The IH takes place at frequencies of 10-3 - 1 MHz and the principle is based on the eddy currents generation in the mineralized connate water and its Joule heating.
This work presents a numerical simulation study of IH assisted heavy oil recovery. Previously developed coupled electromagnetic and reservoir simulation workflow is applied for this analysis. The workflow incorporates coupling between ANSYS Emag and CMG STARS. The study is focused on the recovery drive mechanism and influence of the reservoir and operating parameters on the production.
The IH is realized via closed inductor loop through which alternating current is passed. In our current study we consider two-dimensional pay zone completely surrounded by impermeable barriers and two horizontal "SAGD – like" well pairs, a pair of producer (lower well) and inductor (upper one). Different well constraint cases and the sensitivity to fluid and reservoir properties (pay zone thickness, depth of a reservoir, distance between wells and electrical conductivity contrast between pay zone and under-, overburden) are evaluated.
Operating pressure plays a significant role for the production. It defines the water boiling temperature and controls underground steam generation and consequently the drive mechanism. The sensitivity to fluid and reservoir properties is estimated in terms of production efficiency and recovery factor.
Previous works on this topic did not consider particularly IH in much detail. The results obtained in this work provide a comprehensive understanding on IH assisted heavy oil or bitumen production process, drive mechanism behind it and the ways of improvement of this technology.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.