Abstract: A method of geophysical exploration is provided whereby satellite derived and surface acquired gravity data sets can be employed to produce a merged gravity data set. In particular, surface acquired gravity data can be filtered so as to have a frequency content matching the satellite acquired gravity data. Employing mistie analysis, both gravity data sets can be combined to produce a merged gravity data set. The resulting merged gravity data set provides means for referencing both non-overlapping surface acquired gravity data sets and satellite derived gravity data sets to a common or reference datum such that they can be compared directly.

Abstract: Data from multiple surveys of an area of the earth are integrated for use in oil and gas exploration and production. The data of each survey is first gridded and grid node values determined. A map index is assigned to each grid node and grid node values are associated with each map index to form a grid node suite. The set of grid node suites is processed to identify and determine covariant clusters of variables in multivariate space which includes various survey variables but which does not include location as a variable. Then, after determining to which of the clusters each grid node most probably contributes, a cluster identifier is associated with a respective grid node index for each grid node. Then a covariant cluster map of cluster identifiers as a function of grid node indexes is generated. Cluster locations on the map are correlated with other information about the area to assign earth features to the covariant cluster map.