Dear all, I would like to ask for some advice regarding a simulation I am planning to compute.
I want to grid/interpolate the depth of a sedimentary layer. I have two sets of information: 1. drillings and 2. seismics, the seismic data give 3-dimensional lines. The drilling information is supposed to be exact; I have two different sets of seismic data: a) with an associated error of approx. +/- 10 m and b) with an associated error of +/- 3 m. Although the seismic data are weak concerning the exact depth of the layer, they give good and dense information about the spatial relationship (nice semi-variogram). In conclusion I want to calculate a simulation (with gslib) based on the seismic variogram and the drillings as hard data, the seismics should be included as upper/lower bounds for the simulated surface. Which geostatistical method suits best for this purpose: Sequential Gaussian Simulation or Sequential Indicator Simulation, or something else? Are there papers available dealing with a similar problem. Of course I have books dealing with this topic (e.g. Goovaerts, GSLIB), however I am not a geostatistican and wanted to ask before doing something foolish ;-) I favor a simulation because a simple conditional SGS I have computed reproduces in a good manner the surface roughness which is visible within the seismics. I would also appreciate additional, general suggestions regarding this purpose. Many thanks in advance, regards Wolfram -- Wolfram Ruehaak, [EMAIL PROTECTED] Phone/Fax: +49 +511 643 -3490/-3665 Section S5 - geo information systems and databases Leibniz Institute for Applied Geosciences (GGA) Stilleweg 2, D-30655 Hanover + + To post a message to the list, send it to [email protected] + To unsubscribe, send email to majordomo@ jrc.it with no subject and "unsubscribe ai-geostats" in the message body. DO NOT SEND Subscribe/Unsubscribe requests to the list + As a general service to list users, please remember to post a summary of any useful responses to your questions. + Support to the forum can be found at http://www.ai-geostats.org/
