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Sequential indicator simulation can better predict complex geological phenomena.
In this study, we use sequential indicator simulation to establish the reservoir architecture model.
Unconditional sequential indicator simulation (SIS) is employed to implement the spatial bootstrap and quantify the prior proportion uncertainty.
Geophysical and lithologic logs are used to identify hydrogeologic categories and to condition stochastic simulations using Sequential Indicator Simulation (SIS).
Thus, sequential indicator simulation is combined with artificial interaction to modify the architecture model of the reservoir.
With the rock types of each well known, a 3D rock-type model will be established through sequential indicator simulation.
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Sequential indicators will be calculated where changes in prescribing behaviours are measured only for patients not meeting guideline-driven indicators in the preceding 6-12-month period (e.g. proportion of CHF patients using an ACE inhibitor or angiotensin II-receptor antagonist at 6 months, out of those not receiving this treatment at baseline).
In case of no accurate damper position indicator, sequential damper adjustment according to airflow measurements is also proposed.
If multi-node processing is available, the execution is enhanced using MPI messages between the compute nodes.Four case studies are presented: experimental variogram calculation, kriging estimation, sequential gaussian and indicator simulation.
Recently, a new damage indicator-based sequential law has been proposed to capture the load sequence effect more precisely.
The indicator categories are sequential, starting with governance architecture and ending with human well-being as the ultimate objective.
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