Induction Logging through Casing by Detecting Lateral Waves: A Numerical Analysis

Fazhong Shen, Huan Li, Kuiwen Xu, Tianyi Zhou, Nazar Muhammad Idrees, Changzhi Li, Lixin Ran

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Induction logging through casing (ILTC) is of significant importance to the evaluation of residual oils. Traditional induction logging fails to work in cased wells due to the shielding effect of metallic casings. To date, the feasibility of ILTC remains an open question. In this article, we propose an ILTC based on the detection of lateral waves that carry the formation information. Based on the analytical equations derived to describe the hybrid modes of total magnetic fields that can be detected inside cased wells, numerical analyses aiming to describe the behavior of lateral waves were carried out in both frequency and time domains. The obtained results comply with full-wave simulations and existing scaled experiments. Our results indicate that if an ILTC tool can be properly configured to work in a region dominated by lateral waves, and the casing effect and the primary field of the lateral waves can be effectively compensated, it is feasible to implement an ILTC to detect formation conductivities ranging from 0.01 to 5 S/m.

Original languageEnglish
Article number8941020
Pages (from-to)2937-2946
Number of pages10
JournalIEEE Transactions on Geoscience and Remote Sensing
Issue number4
StatePublished - Apr 2020


  • Casing effect
  • formation conductivity
  • induction logging through casing (ILTC)
  • lateral waves


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