Abstract
Oil reservoir exploration is booming, given the increasing energy demand worldwide. The existence of Impermeable Regions (IR) in the oil reservoir (i.e., underground areas that allow only few hydrocarbons-collecting fluids to pass through) still hinders current production performance to a great extent. Research efforts have been invested into IR detection and mapping. The state of the art solution [1] leverages nanoscale sensor networks to approximately characterize the location of a single IR in the underground oil reservoir. However, the characterization accuracy is rather low. In addition, existing solutions are not applicable to more heterogeneous reservoirs, which reflects, in fact, a more realistic problem scenario. In this paper, we investigate and address the limitations of state of the art solutions in two aspects: 1) we provide a sub-terahertz (THz) communication channel to reflect realism of nanocommunication in the underground; 2) we develop a sensor path (i.e., simulated streamlines along which sensors are assumed to flow) reconstruction workflow to map a more heterogeneous reservoir with more IRs. Through simulations, we show that our proposed solution achieves an improvement of IRs mapping performance, when compared to the state of the art solution.
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