Exact Three-Dimensional Electromagnetic Model: MWD/LWD Anisotropic Prediction for R<sub>h</sub> and R<sub>v</sub>

Chin, Wilson C.

doi:10.7569/jsee.2015.629504

Cited by 1 publication

(1 citation statement)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(Brown et al 2012;Cuevas 2019;He et al 2019;Constable et al 2019;Li et al 2019). For several decades, studies have been carried out on electrical anisotropy as part of induction logging in efforts to better quantify hydrocarbon reservoir potential (Moran and Gianzero 1979;Anderson et al 1998;Wilson 2015). In reservoir evaluation, electrical anisotropy measurements may improve the estimate of hydrocarbons in place.…”

Section: Introductionmentioning

confidence: 99%

EMT simulation and effect of TTI anisotropic media in EMT signal

Fayemi

Zhen

et al. 2021

Pet. Sci.

View full text Add to dashboard Cite

An axisymmetric finite difference method is employed for the simulations of electromagnetic telemetry in the homogeneous and layered underground formation. In this method, we defined the anisotropy property using extensive 2D conductivity tensor and solved it in the transverse magnetic mode. Significant simplification arises in the decoupling of the anisotropic parameter. The developed method is cost-efficient, more straightforward in modeling anisotropic media, and easy to be implemented. In addition, we solved the integral operation in the estimation of measured surface voltage using Gaussian quadrature technique. We performed a series of numerical modeling of EM telemetry signals in both isotropic and anisotropic models. Experiment with 2D tilt transverse isotropic media characterized by the tilt axis and anisotropy parameters shows an increase in the EMT signal with an increase in the angle of tilt of the principal axis for a moderate coefficient of anisotropy. We show that the effect of the tilt of the subsurface medium can be observed with sufficient accuracy and that it is an order of magnitude of 5 over the tilt of 90 degrees. Lastly, consistent results with existing field data were obtained by employing the Gaussian quadrature rule for the computation of surface measured signal.

show abstract