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The solution is the following: in the Menu, under the "Wells" option there is "Spreadsheet" item. Here you can export all the data you need in text format, what can be converted and displayed in ArcGIS.


Assuming you have an older version of GDAL/OGR, you can use OGR SQL to cast the geom field to a geometry. For example: ogr2ogr -f "ESRI Shapefile" "sample.shp" "geo.csv" -sql "SELECT *, CAST(geom as geometry) FROM geo" This will create a new shapefile using the WKT data as the geometry. You can use the same query with ogrinfo as well: ogrinfo -ro -sql ...


Replace test.csv with the correct filename and paste the following code into the Python console. Note, that in your csv Lat=y comes before Lon=x. # specify your csv-file csvFile = "G:/test.csv" # create an empty memory layer for polylines layer = QgsVectorLayer('LineString?crs=EPSG:4326', 'Connected', 'memory') prov = layer.dataProvider() # add layer to ...


The 3D Analyst Land XML to TIN tool did work when I run the toolbox tool itself rather than a command from the Python window. Must have had the parameters wrong.

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