Extracting mud invasion information using borehole radar — A numerical study

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ID Serval
serval:BIB_6291E6BCC327
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Extracting mud invasion information using borehole radar — A numerical study
Périodique
GEOPHYSICS
Auteur⸱e⸱s
Zhou Feng, Giannakis Iraklis, Giannopoulos Antonios, Holliger Klaus, Slob Evert
ISSN
0016-8033
1942-2156
Statut éditorial
Publié
Date de publication
01/03/2023
Volume
88
Numéro
2
Pages
D69-D83
Langue
anglais
Résumé
In hydrocarbon drilling, mud filtrate penetrates permeable formations and alters the pore fluid characteristics in the immediate vicinity of the borehole. Typically, the prevailing in situ pore fluids are displaced by the invading mud filtrate, which leads to gradually changing distributions of the fluid and electrical properties. Understanding this invasion process is crucial for the interpretation of logging data and associated reservoir evaluations. Conventional logging methods tend to be inadequate for this purpose as their resolution is too low. We find that invasion depth can be determined from borehole radar data using an optimized antenna configuration and time-lapse measurements. A series of parametric sensitivity analyses provide information about the effects of variations of the rock and fluid properties on the identification and extraction of borehole radar signals reflected from the invasion front. Our results suggest that by embedding the radar antennas in cavities filled with an absorbing dielectric material, it is possible to minimize the interference arising from the metal components of the logging tool. In the simulated reservoir scenario, a time-lapse measurement mode with a time interval of at least 6 h can reliably extract the radar signals reflected from the invasion front, and the proposed borehole radar has a lateral detection range from 0.15 to 1 m. A comprehensive range of parametric sensitivity analyses indicates that the signals reflected from the invasion front are principally influenced by oil viscosity, porosity, and mud and formation water salinity, as well as by molecular diffusion coefficient and cementation exponent. These properties and parameters should be carefully explored and assessed when applying borehole radar to evaluate mud invasion information in a reservoir environment.
Mots-clé
Geochemistry and Petrology, Geophysics
Web of science
Création de la notice
01/09/2023 11:26
Dernière modification de la notice
29/03/2024 9:43
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