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We then introduce an algorithm for constructing optimal monitoring schedules and prove its correctness.
There is no evidence on the optimal monitoring frequency for estimating fluid deficit.
Spatial simulated annealing (SSA) was used to search for the optimal monitoring design.
These applications exhibit heterogeneous workloads for investigating optimal monitoring interval of SLA parameters.
The optimal monitoring network consists of one measuring station in each of these homogeneous reaches.
The BIPP is demonstrated for selecting optimal monitoring locations in both homogeneous and heterogeneous formations.
The onboard DSP also manages a number of functions that enable users to tailor each speaker to their unique space and placement needs, for optimal monitoring in any environment.
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In this paper we present a technique to generate optimal monitors from EREs.
Our numerical examples demonstrate that a cost-optimal monitoring network may save millions of dollars in total costs, including well construction and leakage costs.
Factors exerting the most impact on the cost-optimal monitoring network design are unit leakage damage costs, pressure threshold for leakage detection, and geological uncertainty.
Specifically, our approach helps a CCS operator to design a cost-optimal monitoring network that covers all potentially leaky locations (in a worst-case-scenario sense) while satisfying a prescribed carbon dioxide (CO2) storage performance criterion and considering geological uncertainty.
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