The methodology is straight forward, easy and can be applied in other fields for the assessment of infill opportunity involving infill location, selection, and placement as well its associated risks for optimal return on investment.
This study showed that adequately guided numerical simulation technique is suitable for the evaluation of infill location, selection, and placement where delivery time becomes a constraint on investment decision during reservoir development and management.
Sheen et al. [15] investigated optimal RS placement, path selection, resource allocation, and frequency reuse.
Our modeling approach can be used practically for optimization of proppant placement through selection of fluid properties, proppant properties, and injection schedule.
The effects of grid resolution, boundary conditions, source placement and selection of turbulence model (kappa-epsilon, RNG kappa-epsilon, Reynolds stress, etc).
We present these results as case studies that address ecological impacts of dredge materials placement, site selection and benthic community responses.
However, if we consider every VM placement, VM selection and overload detection techniques, the number of combinations is huge, i.e., 10 VM placement strategies (5 clustered and 5 non-clustered), 3 VM selection strategies and 5 overload detection strategies.
Topics to be discussed include classification, types and properties (e.g., biocompatibility, osseointegration, types of anchorage, screw head, and thread design), clinical applications, site and placement method selection, clinical procedures for implant insertion, and loading and removal processes.
