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Subsurface mapping, deterministics and volumes

Deterministical interpolation methods are still dominant mathematical algorithms for mapping (comparing with stochastic, probablisitc, Monte Carlo estimation or hand-made mapping). The main advantage of such approach is one solution accepted as true representation of volume or plane. The most applied in the group of easy and fast interpolations are Inverse Distance Weighting and Moving Average. The most applied for mostly the best linear estimation in mapping is Kriging. For small datasets and irregular distributed hard data hand-made maps still could be the best approach, especially if are interpolated by experienced expert.

Subsurface mapping; deterministics; volumes

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