斯伦贝谢petrel教程2.ppt

Overview - Chapter 1 PETREL 2003 Functional Interpolation Summary Strengths: May be used to extract a trend from the data Medium fast Weaknesses: May fail if few data points 10 Only recommended if more than 20 datapoints are present as input Sequential Gaussian SimulationOverview Sequential Gaussian Simulation Principles Sequential Gaussian Simulation Principles Sequential Gaussian Simulation Principles Sequential Gaussian Simulation Principles Sequential Gaussian Simulation Influence of Variogram Sequential Gaussian Simulation Influence of distribution Sequential Gaussian Simulation Summary Strengths: Suitable to make a stochastic surface for uncertainty modeling Weaknesses: Produces a ”fuzzy” picture and may need smoothing Not to be used for ordinary input like seismic interpretation e.g. Assign to closest point Overview Artificial AlgorithmsOverview Artificial AlgorithmsPrinciples Artificial AlgorithmsPrinciples Artificial AlgorithmsPrinciples Surface Resampling Overview Make surfacesExercise Build 2D grids and test different algorithms Surface editing and operations Surface editing and operationsLecture and exercise purpose Purpose: To learn methods for adjusting and cleaning a 2D grid; the order of implementation and operations for incorporating stratigraphic relationships. You will learn how to: Perform Pre Processing Perform Post processing Lightly smooth the entire grid Locally smooth parts of a grid Fill holes in a grid Blank portions of a grid Interactively edit a grid Tie a grid to the points it represents Truncate one grid by another Baselap one grid onto another Surface editing and operations Pre Processing Help cleaning up the data before the Make Surface process Refine the polygons If polygons are used as input, they can be populated and smoothed without changing original file. Covert polygons to direction value Use polygon’s X-Y orientation to create grid with values representing that orientation. Trend surface Use a surface