1887

Abstract

Summary

The Logging While Drilling (LWD) resistivity imaging tool can be used in situations where the formation is very complex, such as carbonate and volcanic formation with fractures and caves. The geologic structure can be easily identified from the borehole resistivity images. However, few studies about the imaging resolution of LWD resistivity imaging tool have been reported to date, which hinders our understanding when we use the images data. In this study, we use the FEM theory and COMSOL Multiphysics software to investigate the effect of borehole environment on imaging resolution. In order to compare the imaging results, a small button electrode and a big button electrode are chosen during the simulation. The relationships between the imaging resolution and the mud resistivity, borehole diameter, and distance from the button to well wall are investigated. It is shown that the all the above mentioned factors control the imaging resolution, and the distance from the button to the borehole wall and borehole diameter are the main factors that determines the images results of the tool.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201901118
2019-06-03
2020-06-07
Loading full text...

Full text loading...

References

  1. PammerM G, MorysM, KnizhnikS, et al.
    [2009]. A high-resolution LWD resistivity imaging tool–field testing in vertical and highly deviated boreholes. Petrophysics, 50(01).
    [Google Scholar]
  2. LuthiS.
    [2001]. Geological Well Logs: Their Use in Reservoir Modeling. Springer.
    [Google Scholar]
  3. OrtenziL, DubourgI, Van OsR, et al.
    [2011]. New azimuthal resistivity and high-resolution imager facilitates formation evaluation and well placement of horizontal slim boreholes[C]//SPWLA 52nd Annual Logging Symposium. Society of Petrophysicists and Well-Log Analysts.
    [Google Scholar]
  4. ChenJ F
    . [2015]. An efficient discontinuous Galerkin finite element method with nested domain decomposition for simulations of microresistivity imaging. Journal of Applied Geophysics, 114: 116–122.
    [Google Scholar]
  5. . [2017]. An efficient layered finite element method with domain decomposition for simulations of resistivity well logging. Journal of Petroleum Science and Engineering, 150: 217–223.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201901118
Loading
/content/papers/10.3997/2214-4609.201901118
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error