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Data Analysis:


Integrated workflow starts with data gathering and QC. The Data Analysis and QC help us to understand the characteristics of data better, the trends and correlations across all data set. This step includes data transformations, depth match, trend investigation, distribution (stationarity) analysis, statistical (univariate and bivariate) data analysis and report generation including various graphical demonstrations.




For further modeling steps, regression curves are generated and utilized together with cumulative distribution functions, data truncations, histogram and variogram to constrain 3D simulation results. All parameters of variogram modeling are thoroughly investigated. Data problems, such as lock of data, outliers, inconsistency are solved by using soft geological information.



Distribution function and histogram of each parameter is analyzed and data characteristics are honored in the model. In stationarity analysis, average values of each parameter is color coded according to value and displayed on areal map or structure.