Fast Modeling and Practical Inversion of Laterolog-Type Downhole Resistivity Measurements

Hu, Li; Wang, Lei

doi:10.1109/tgrs.2018.2852608

Cited by 13 publications

(1 citation statement)

References 19 publications

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“…Currently, the most commonly used tools in China are the HRLA (Schlumberger Company), HDLL array lateral (Atlas Company), and microcolumn focused logging tools [ 1 – 3 ]. Schlumberger’s HRLA instrument has 16 electrodes that can adequately describe the anisotropy of the formation [ 4 ]. The microcolumn focusing logging tool consists of nine electrodes and uses a digitally synthesized focused method to improve the resolution of the formation resistivity.…”

Section: Introductionmentioning

confidence: 99%

A standard calibration method based on a symmetric resistance network matrix for galvanic logging instruments

Ji,

Li,

Xia

et al. 2024

PLoS ONE

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An increasing number of measurement electrodes have been designed to satisfy the demand for high-resolution detection using galvanic logging technology in complex formations. The forward modeling response analysis of logging tools has important guiding significance in the design of galvanic logging tools. Based on a three-dimensional finite element numerical simulation method, we established a forward model of galvanic multi-electrodes in a complex formation. We also designed a symmetrical resistance network model of the formation with equivalent resistance between two electrodes. A symmetrical resistance network was derived using the balanced bridge method. The asymmetrical admittance matrix was extended to a symmetrical extended admittance matrix to realize a convenient calculation of the equivalent symmetrical resistance network in complex formations. Verification of the microcolumn-focused logging tool, with nine electrodes in a simulated standard well, and an evaluation of the degree of invasion in an actual oil well indicate that this calibration method can improve the measurement accuracy of galvanic logging instruments.

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Section: Introductionmentioning

confidence: 99%