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Besides statistical analysis, you can use GridSTAT to do spatial analysis to identify how continuous the data is in various directions. By making analysis in different areas or generating a variogram map, you can identify changes in continuity. There are also many tools in GridSTAT for identifying data problems, removing unwanted data, and transforming data.
A model generated with limited data may not be accurate. You can use GridSTAT to generate many possible models to study the uncertainty: either by turning off one well at a time or using stochastic simulation. If you have a lot of good data and make correct assumptions, the difference between various possible models will be small, indicating a reliable result.
If you need to make geological cross sections, you can use GridSTAT to produce more accurate cross sections in much shorter time. Suppose you have well logs for some wells, the process usually includes checking and correcting the data, picking markers, drawing the lithology or porosity between wells, and produce a printed copy. If this process takes you a few days or longer, you can use GridSTAT to produce a more accurate cross section in a day or less.
GridSTAT has been used to produce cross sections since 1991 and the results have been verified by geologists. GridSTAT honors your data and the geological constraints you put in. The ability of using GridSTAT to include wells off the cross section in the interpolation is another reason why GridSTAT can produce more accurate cross sections.
You can use GridSTAT to produce more accurate map or 3D volume compared to conventional methods. Geostatistical interpolation allows you to honor data to the degree of the data reliability, to guide the interpolation by using directional continuity information based on your data or from direct input, to take into account of the data distribution and trend, and to be able to integrate various data types.
If you have limited number of wells and would like to use the information from seismic data, you can use GridSTAT to put well data and seismic data together and produce more detailed models.
There many ways you can visualize your data in GridSTAT. The pictures can be easily printed or exported to a drawing software e.g. MS PowerPoint or a word processor e.g. MS Word.
If you need geological model to input to your reservoir simulator, you can use GridSTAT to produce more realistic geological models and make your prediction more realistic. You can generate your model on a PC or UNIX workstation, and export the results to Eclipse, Simbest, VIP, BOST, Exodus, etc.
A common problem in reservoir performance modeling is that reservoir heterogeneity is ignored. With GridSTAT, you can generate a realistic permeability grid for flow simulation. If you do not want to use permeability measurements as control data, you can simulate a permeability field by giving an average, a standard deviation, and a correlation model. Now you can study the effect of permeability and heterogeneity.
If you are drilling a new well or need to perforate a well but do not have logs, you can use GridSTAT to produce a predicted well log using well logs from neighboring wells.
If you are looking for infill drilling locations, you can use GridSTAT to produce a 3D model of the reservoir, visualize how the pays are connected, and make a net thickness map or k*H map. You can make more accurate predictions because GridSTAT honors your data and the geological constraints you put in, pull information from more data, and uses state of the art geostatistics to perform the interpolation.
In general, if you are looking for a better way of interpolating your data, GridSTAT can help. If you would like to have a better way of quality control your data and horizon markers, GridSTAT can help. If you know a better way of doing things, we may put it in GridSTAT for you.
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