Zhao, F., Giannakis, Iraklis, Giannopoulos, A. and Slob, E. (2020) Estimating reservoir permeability with borehole radar. Geophysics, 85 (4). 1JA-Z18. ISSN 0016-8033

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Abstract

In oil drilling, mud filtrate penetrates into porous formations and alters the compositions and properties of the pore fluids. This disturbs the logging signals and brings errors to reservoir evaluation. Drilling and logging engineers therefore deem mud invasion as undesired and attempt to eliminate its adverse effects. However, the mud-contaminated formation carries valuable information, notably with regard to its hydraulic properties. Typically, the invasion depth critically depends on the formation porosity and permeability. Therefore, if adequately characterized, mud invasion effects could be used for reservoir evaluation. To pursue this objective, we have applied borehole radar to measure mud invasion depth considering its high radial spatial resolution compared with conventional logging tools, which then allows us to estimate the reservoir permeability based on the acquired invasion depth. We investigate the feasibility of this strategy numerically through coupled electromagnetic and fluid modeling in an oil-bearing layer drilled using freshwater-based mud. Time-lapse logging is simulated to extract the signals reflected from the invasion front, and a dual-offset downhole antenna mode enables time-to-depth conversion to determine the invasion depth. Based on drilling, coring, and logging data, a quantitative interpretation chart is established, mapping the porosity, permeability, and initial water saturation into the invasion depth. The estimated permeability is in a good agreement with the actual formation permeability. Our results therefore suggest that borehole radar has significant potential to estimate permeability through mud invasion effects.

Item Type:	Article
Identifier:	10.1190/geo2019-0696.1
Subjects:	Construction and engineering > Civil and environmental engineering
Depositing User:	Marc Forster
Date Deposited:	12 Nov 2024 10:58
Last Modified:	12 Nov 2024 10:58
URI:	https://repository.uwl.ac.uk/id/eprint/12887

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