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Optimized arrays for 2D cross‐borehole electrical tomography surveys
Author(s) -
Loke M.H.,
Wilkinson P.B.,
Chambers J.E.,
Strutt M.
Publication year - 2014
Publication title -
geophysical prospecting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.735
H-Index - 79
eISSN - 1365-2478
pISSN - 0016-8025
DOI - 10.1111/1365-2478.12072
Subject(s) - borehole , geology , resolution (logic) , image resolution , economic geology , regional geology , algorithm , computer science , hydrogeology , optics , physics , telmatology , geotechnical engineering , artificial intelligence
The use of optimized arrays generated using the ‘Compare R’ method for cross‐borehole resistivity measurements is examined in this paper. We compare the performances of two array optimization algorithms, one that maximizes the model resolution and another that minimizes the point spread value. Although both algorithms give similar results, the model resolution maximization algorithm is several times faster. A study of the point spread function plots for a cross‐borehole survey shows that the model resolution within the central zone surrounded by the borehole electrodes is much higher than near the bottom end of the boreholes. Tests with synthetic and experimental data show that the optimized arrays generated by the ‘Compare R’ method have significantly better resolution than a ‘standard’ measurement sequence used in previous surveys. The resolution of the optimized arrays is less if arrays with both current (or both potential) electrodes in the same borehole are excluded. However, they are still better than the ‘standard’ arrays.