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Nonparametric Geostatistical Simulation of Subsurface Facies: Tools for Validating the Reproduction of, and Uncertainty in, Facies Geometry
(Springer New York LLC, 2019)
© 2018, International Association for Mathematical Geosciences.Delineation of facies in the subsurface and quantification of uncertainty in their boundaries are significant steps in mineral resource evaluation and reservoir ...
Method for the Interpretation of RMR Variability Using Gaussian Simulation to Reduce the Uncertainty in Estimations of Geomechanical Models of Underground Mines
(Springer, 2020-01-01)
The application of conventional techniques, such as kriging, to model rock mass is limited because rock mass spatial variability and heterogeneity are not considered in such techniques. In this context, as an alternative ...
Determination of volumetric uncertainty for geological bodies detected by boreholes
(Elsevier B.V., 2015-04-01)
The volume of a mineralized body depends on the information available on borders between mineralization and host rocks. Sometimes, information is limited and a precise determination of the volume of ore body is not possible. ...
USE OF MONTE CARLO SIMULATIONS FOR THE CALCULATION OF THE UNCERTAINTY ESTIMATE IN THE ELECTROCHEMICAL DETECTION OF URIC ACID IN PLASMA SAMPLES
(Tche Quimica Group, 2018-01-01)
This work presents a low cost, simple and adequately reliable electrochemical alternative for the determination of uric acid in human serum in comparison to the enzymatic colorimetric reference method. The quality of the ...
Simulation-Based Optimization for the Scheduling of Elective Surgery Under Uncertainty And Downstream Capacity Constraints
(Universidad Nacional del Sur, 2020-02)
The generation of an optimal schedule of elective surgery cases for a hospital surgery services unit is a well-known problem in the operations research field. The complexity of the problem is greatly compounded when ...
Combining iterative heuristic optimization and uncertainty analysis methods for robust parameter design
(TAYLOR & FRANCIS LTD, 2006)
A number of investigators have pointed out that products and processes lack quality because of performance inconsistency, which is often due to uncontrollable parameters in the manufacturing process or product usage. Robust ...
A new methodology to reduce uncertainties in reservoir simulation models using observed data and sampling techniques
(Elsevier Science BvAmsterdamHolanda, 2010)
Sampling Strategies for Uncertainty Reduction in Categorical Random Fields: Formulation, Mathematical Analysis and Application to Multiple-Point Simulations
(Springer Verlag, 2019)
© 2019, International Association for Mathematical Geosciences.The task of optimal sampling for the statistical simulation of a discrete random field is addressed from the perspective of minimizing the posterior uncertainty ...
Monte carlo simulation to consider uncertainty in the reliability analysis of dynamic positioning systems
(2020-01-01)
Nowadays, Dynamically Positioned (DP) units are responsible for most offshore oil exploitation operations, including drilling and maintenance campaigns. Due to the large congestion of the oil fields, keeping the vessel ...
Power flow for primary distribution networks considering uncertainty in demand and user connection
(Elsevier B.V., 2012-12-01)
This paper presents a method for calculating the power flow in distribution networks considering uncertainties in the distribution system. Active and reactive power are used as uncertain variables and probabilistically ...