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Abstract

Summary

Potential Field Gradient Tensors are a multichannel dataset combining 5 independent components in a matrix array which can be visualised in many ways. A common problem is that many standard and certainly tensor grid images and combinations are not understood by users. It is important that all images used carry some sort of physical meaning which is understood by the interpreter. 3D forward gravitational responses of a 3D model of a simple two-body basin-basement system with conjugate faulting and a dome-basin shape, is performed to derive potential field transforms and combinations. Depths to the Basin-Basement interface were computed from the model and are presented as grids and contours draped on the gravity gradient imaging products to illustrate their responsiveness to the basement architecture.

Various combinations of traditional gravity and its gradient transforms, as well as tensor invariants and phase products, are assessed against the model. It is shown that certain imaging products show more responsiveness to physical property variations, whilst others are more sensitive to geometry, but combining these in novel ways can approach understanding of subsurface mapping possibly not explored previously using potential fields.

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/content/papers/10.3997/2214-4609.201801458
2018-06-11
2024-03-29
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References

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