Hello,

I have seen that minimum curvature gridding of .gdb is more suited when you have random distribution of data while Bi-directional gridding (BIGRID) is more convenient when the flight lines are in a parallel direction.

However, I was told that for the gamma-ray spectrometry data (described below) I should use minimum curvature because of the time sampling and BIGRID for the magnetic data. It is said that minimum curvature is more common for gamma-ray .gdb gridding.

I would like to know which type of these two interpolation techniques I should use (for both gamma-ray and magnetic data).

My grids in Oasis Montaj did not show a significant difference when I interpolated the data using both methods. Nevertheless, I wish I knew the answer for this issue.

I would appreciate if you could suggest me any articles that discuss this topic.

The specifications of the airborne survey are:

Spacing between flight lines: 500 m

Flight height: 100 m

Direction of flight lines: N-S

Time sampling: 0,1 s magnetometer

Time sampling: 1,0 s spectrometer

Direction of control lines: E-W

Spacing between control lines: 10 km

Note: The interpolation is for flight lines only (I am not using tie lines).

Best regards,

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