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Assessment of Delaware and Groningen effects on dual-laterolog measurements with a self-adaptive hp finite-element method

Authors: Carlos Torres-Verdín; Myung Jin Nam; David Pardo;

Assessment of Delaware and Groningen effects on dual-laterolog measurements with a self-adaptive hp finite-element method

Abstract

We describe numerical simulations of anomalous dual-laterolog (DLL) borehole measurements, including Delaware and Groningen effects. Both effects give rise to abnormally high readings of DLL measurements under extreme logging conditions. Specifically, a low resistive bed below a highly resistive layer causes electrical currents to concentrate within the borehole, which generates a negative potential at the reference electrode and, consequently, an abnormally high reading in DLL measurements. These effects are exacerbated by the presence of casing and/or at nonzero frequencies. Simulations are performed with a 2D goal-oriented, high-order, self-adaptive [Formula: see text] finite-element method together with an embedded postprocessing method. Results indicate that the presence of electrodes [Formula: see text] and [Formula: see text] is critical for proper simulation of Delaware effects on DLL measurements. Delaware effects on DLL logs decrease as the current return electrode is moved farther away from either the logging point or the borehole. The frequency of operation also affects deep laterolog measurements, generating the so-called Groningen effect.

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    15
    popularity
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    Top 10%
    influence
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    Top 10%
    impulse
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    Average
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Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Top 10%
Average
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