2015
DOI: 10.1190/geo2014-0237.1
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Efficient 2.5D electromagnetic modeling using boundary integral equations

Abstract: Fast and accurate simulation of responses of logging-while-drilling (LWD) electromagnetic (EM) tools in complex 2D and 3D formations is very important for reconstruction of the resistivity distribution in proactive geosteering. Currently, real-time interpretation is based on the 1D parametric inversion. Advances in fast simulation beyond the 1D model would open a way for real-time 2D inversion. We developed, implemented numerically, and tested an efficient method for simulation of LWD EM tools in complex 2D fo… Show more

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Cited by 19 publications
(6 citation statements)
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“…Note that the 2.5D finite difference scheme and matrix assembly process are similar to the 3D method except that ∇ = ( x, y, z) should be replaced by ∇ = x, ik y , z . Finally, the field counterparts in spatial domain can be obtained by applying the IFT to the solved EM fields in spectral domain (Dyatlov et al 2015):…”
Section: 5d Modeling Of Electric Loggingmentioning
confidence: 99%
See 1 more Smart Citation
“…Note that the 2.5D finite difference scheme and matrix assembly process are similar to the 3D method except that ∇ = ( x, y, z) should be replaced by ∇ = x, ik y , z . Finally, the field counterparts in spatial domain can be obtained by applying the IFT to the solved EM fields in spectral domain (Dyatlov et al 2015):…”
Section: 5d Modeling Of Electric Loggingmentioning
confidence: 99%
“…For some geological structures, the rock properties are continuous in strike but discontinuous in lateral direction within the well logging scope. Therefore, the structures like folds and faults can normally be simplified to 2D models in LWD modeling and simulated effectively and efficiently by the 2.5D algorithm (Dyatlov et al 2015;Rodríguez-Rozas et al 2018;Thiel et al 2018). The basic principle of the 2.5D algorithm is to apply the Fourier transform to convert a 3D problem in spatial domain into a series of 2D problems in spectral domain, solve the fields in spectral domain and convert it back to the spatial domain through the inverse Fourier transform (Xu and Li 2018;Liu et al 2012;Wu et al 2019).…”
Section: Introductionmentioning
confidence: 99%
“…We start by splitting the electrostatic potential u into a sum of a primary field u p and a secondary field u s . The primary field is a known potential satisfying (5), and the secondary field is an unknown potential satisfying the homogeneous equation:…”
Section: Decomposition Into a Primary And A Secondary Fieldmentioning
confidence: 99%
“…In this section, we compare computational times for the classical semi-analytical method (CSAM) vs. those obtained with the proposed EIHTM. For the CSAM, we select a computational time of a single evaluation equal to 0.001 s, which is 10 times smaller than the computational time referenced for the AC case in [5] and (in average) 4.8 times smaller than the time required by using the integral function of Matlab, which we know is suboptimal.…”
Section: Cost Comparisonmentioning
confidence: 99%
“…More recently, Ijasan et al (2014) introduced a layer-based inversion workflow to estimate layer-by-layer petrophysical properties. Dyatlov et al (2015) developed a method for simulation of LWD measurements in 2D formations based on the boundary integral equations and the Fourier transform, which reduces the problem to a series of 1D integral equations. He et al (2015) presented a new analytic method to compute the response of tri-axial tools in layered formations.…”
Section: Introductionmentioning
confidence: 99%