Determination of relative angles and anisotropic resistivity using multicomponent induction logging data

Zhang, Zhiyi; Yu, Liming; Kriegshäuser, Berthold; Tabarovsky, L.

doi:10.1190/1.1778233

Cited by 23 publications

(14 citation statements)

References 2 publications

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“…The horizontal and vertical resistivities can not be decoupled if only conventional induction logging data are used [2] , which will lead to incorrect evaluation of oil-gas saturation. The multi-component induction logging technology [2∼6] can simultaneously measure formation's horizontal and vertical resistivities, and can realize the decoupling of horizontal resistivity, vertical resistivity and borehole's deviation angles [5] , so the measured information can be much increased and the evaluation with high precision can be accomplished for complex formations, especially for anisotropic formations in deviated or horizontal boreholes.…”

Section: Introductionmentioning

confidence: 99%

Computing the Response of Multi‐Component Induction Logging in Layered Anisotropic Formation by the Recursive Matrix Method with Magnetic‐Current‐Source Dyadic Green's Function

Wei¹,

Wang²,

Wang³

2009

Chinese J of Geophysics

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A recursive matrix method is adopted to compute the magnetic-current-source dyadic Green's function in anisotropic media. The response of multi-component induction logging in layered and deviated anisotropic formation is simulated by using the obtained dyadic Green's function. The influence of coil spacing, bed thickness, deviation angle and shoulder bed on the response is analyzed. The computation result shows that the changing pattern of coplanar apparent conductivity is more complex than coaxial apparent conductivity and can not reflect the formation's real conductivity. The coaxial apparent conductivity decreases with the increasing deviation angle in anisotropic formation, while the coplanar apparent conductivity increases with growing deviation angle. The tool's vertical resolution and the influence of shoulder bed's anisotropy on the tool's response in the target formation bed are determined by coil spacing. The influence of the shoulder bed's anisotropy on the response in high-conductivity target formation is bigger than that in high-resistivity target formation.

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Section: Introductionmentioning

confidence: 99%

Computing the Response of Multi‐Component Induction Logging in Layered Anisotropic Formation by the Recursive Matrix Method with Magnetic‐Current‐Source Dyadic Green's Function

Wei¹,

Wang²,

Wang³

2009

Chinese J of Geophysics

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“…Without specification, the same distance between transmitter and main receiver and bucking coil are the same as in the first example. Then in given by Equation (8). The abnormally large dielectric constant is frequency dependent.…”

Section: Examplementioning

confidence: 99%

“…Some cross components give contributions to detect formation boundary. The inversion approach has been developed to detect dipping angle based on both coplanar and cross components [8][9][10][11]. However, the dielectric effect on coplanar and cross components is still unknown.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Effects of Large Dielectric Constants on Triaxial Induction Logs

Zhang¹

2012

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The dielectric effect is receiving increasing interest in the study of resistivity logging. Several recent findings have proven that the dielectric effect can cause negative imaginary signals on the array induction logging. However, very few researches discuss the dielectric effect on the triaxial induction logging which is a novel technology in solving anisotropy problem. In this paper, we investigate the effect of large dielectric constants on a basic triaxial induction tool in a 1-D homogenous earth formation. The simulation model is derived from Maxwell equation and calculated by wave number integration. Sufficient simulations have been done. We performed an asymptotic analysis of the dielectric effect within the low-freq limit, yielding interesting observations on the dielectric effect with respect to frequency, spacing, and anisotropy. Those findings provide important and useful guidance for researchers to study on the dielectric effect on the triaxial induction logging.

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“…In order to get an acceptable starting point for the Zero-D inversion, we use the analytic expressions to compute the dipping angle α and the rotation angle γ horizontal conductivity σ h and vertical conductivity σ v directly [6,14]:…”

Section: Starting Valuesmentioning

confidence: 99%

“…However, robust layer position must be known as priori information. Later, Zhang et al presented three analytical methods for the determination of the relative dipping angle and azimuthal angle [6]. Wang et al introduced an 1-D inversion algorithm by applying Gauss-Newton to retrieve the transverse isotropic formation parameters [7].…”

Section: Introductionmentioning

confidence: 99%

1-D Inversion of Triaxial Induction Logging in Layered Anisotropic Formation

Zhang¹,

Yuan²,

Liu³

2012

PIER B

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Abstract-In this paper, we present a one-dimensional (1-D) inversion algorithm for triaxial induction logging tools in multi-layered transverse isotropic (TI) formation. A non-linear least-square model based on Gauss-Newton algorithm is used in the inversion. Cholesky factorization is implemented to improve the stability and the reliability of the inversion. Zero-D inversion is conducted at the center of each layer to provide a reasonable initial guess for the best efficiency of the inversion procedure. Cross components are used to provide sufficient information for determining the boundaries in the initial guess. It will be illustrated that using all the nine components of the conductivity/resistivity yield more reliable inversion results and even faster convergence than using only the diagonal components. The resultant algorithm can be used to obtain various geophysical parameters such as layer boundaries, horizontal and vertical resistivity, dipping angle and rotation angle etc. from triaxial logging data automatically without any priori information. Several synthetic examples are presented to demonstrate the capability and reliability of the inversion algorithm.

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Determination of relative angles and anisotropic resistivity using multicomponent induction logging data

Cited by 23 publications

References 2 publications

Computing the Response of Multi‐Component Induction Logging in Layered Anisotropic Formation by the Recursive Matrix Method with Magnetic‐Current‐Source Dyadic Green's Function

Computing the Response of Multi‐Component Induction Logging in Layered Anisotropic Formation by the Recursive Matrix Method with Magnetic‐Current‐Source Dyadic Green's Function

Investigation of Effects of Large Dielectric Constants on Triaxial Induction Logs

1-D Inversion of Triaxial Induction Logging in Layered Anisotropic Formation

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