Modeling Gravity Data: Understanding Non-Uniqueness and Depth Rules, Slides of Geology

The challenges of modeling gravity data, including non-uniqueness of results and the importance of local geology. It also introduces depth rules to help with inverse modeling and calculating total excess mass. Useful for geophysics students and professionals.

Typology: Slides

2012/2013

Uploaded on 07/19/2013

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Modeling Gravity Data
Gravity data suffers from the same caveats as most geophysical
techniques
Modeling data is an inverse problem, so results are non-unique
You can calculate the predicted anomaly
from a known body exactly
You cannot calculate the exact body
from the anomaly
Data quality is limiting (noise, correction errors)
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Modeling Gravity Data

  • Gravity data suffers from the same caveats as most geophysical

techniques

  • Modeling data is an inverse problem, so results are non-unique
    • You can calculate the predicted anomaly from a known body exactly
    • You cannot calculate the exact body from the anomaly
  • Data quality is limiting (noise, correction errors)

Modeling Gravity Data

  • Recall that only the density contrast matters
    • So a half slab = 3.0 g/cm^3 embedded in a rock of 2.9 g/cm^3
    • Produces same anomaly as
    • Half slab = 2.7 g/cm^3 embedded in a rock of 2.6 g/cm^3
  • Also, a mass excess can produce the same anomaly as a mass

deficiency

  • To resolve the likely scenario, know the local geology!

While modeling gravity data suffers from non-uniqueness…

  • Total excess mass can be uniquely calculated
    • Must be very careful with calculating the tails
      • Tails are low in magnitude, but can extend very far
    • To calculate the mass of the body…

Total Excess Mass

excess Vanomaly G

M

body surrounding rock

body Mbody Mexcess

distance (m)

0 100 200 300 400 500

anomaly (mGals)

0

Useful if you want to know the total mass of an ore body