An efficient and accurate pseudo 2‐D inversion scheme for multicomponent induction log data

Kriegshäuser, Berthold; McWilliams, Steve; Fanini, Otto; Yu, Liming

doi:10.1190/1.1816619

Cited by 9 publications

(3 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With the exception of [1], development of inversion algorithms for triaxial induction logging measurements has been focused to predominantly one-or, to a lesser extent, two-dimensional models [3,5,13,15,20,22,[25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Data-Adaptive Resolution Method for the Parametric Three-Dimensional Inversion of Triaxial Borehole Electromagnetic Measurements

Alpak

Torres‐Verdín²

2010

PIER B

View full text Add to dashboard Cite

We develop a new adaptive inversion procedure: Dataadaptive Resolution Inversion (DRI) method, which eliminates the need of selecting a parameterization prior to inversion. Instead, one performs a hierarchical search for the correct parameterization while solving a sequence of inverse problems with an increasing dimension of parameterization. A parsimonious approach to inverse problems usually involves the application of the same refinement consistently over the complete spatial domain. Such an approach may lead to over-parameterization, subsequently, to unrealistic conductivity estimates and excessive computational work. With DRI, the new parameterization at an arbitrary stage of inversion sequence is allocated such that new degrees of freedom are not necessarily introduced all over the spatial domain of the problem. The aim is to allocate new degrees of freedom only where it is warranted by the available data. Inversion results confirm that DRI is robust and efficient for multiparameter inversion of multicomponent borehole electromagnetic measurements.

show abstract

Section: Introductionmentioning

confidence: 99%

Data-Adaptive Resolution Method for the Parametric Three-Dimensional Inversion of Triaxial Borehole Electromagnetic Measurements

Alpak

Torres‐Verdín²

2010

PIER B

View full text Add to dashboard Cite

show abstract

“…There is growing interest in developing advanced techniques for 3D interpretation and imaging of induction well-logging data from a single borehole. It was demonstrated in several publications (Kriegshauser et al, 2001;Zhdanov et al, 2004;Wang et al, 2003;Abubakar et al, 2006 ) that, the tensor induction well-logging (TIWL) instrument can be used both for studying the anisotropy of the formations penetrated by the borehole and for imaging 3D structures in the borehole vicinity. Gribenko and Zhdanov, 2007a, presented a method of 3D nonparametric inversion of the TIWL magnetic field data, based on localized quasi-linear (LQL) approximation (Zhdanov et al 2004) and on rigorous updates of the domain electric field (Cox and Zhdanov, 2008).…”

Section: Introductionmentioning

confidence: 99%

Rigorous 3D inversion of tensor electrical and magnetic induction well logging data in inhomogeneous media

Gribenko

Zhdanov

2009

SEG Technical Program Expanded Abstracts 2009

View full text Add to dashboard Cite

In this paper we develop a method of 3D inversion of tensor electric and magnetic field data in induction well-logging applications. Our method is based on the integral equation EM field formulation. An efficient Fréchet derivative computation is achieved by applying the modified Born approximation. The inversion method is tested on several synthetic models. The results of inversion show that both magnetic and electric tensor components can be used in 3D inversion about a single borehole.

show abstract

“…With the exception of Abubakar et al (2004), development of inversion algorithms for triaxial induction logging measurements has been focused to predominantly one-or, to a lesser extent, to twodimensional models (Cheryauka and Zhdanov, 2001;Kriegshäuser et al, 2001;Lu and Alumbaugh, 2001;Yu et al, 2001;Zhang et al, 2001;Zhang and Mezzatesta, 2001;Anderson et al, 2002;Tompkins and Alumbaugh, 2002;Wang et al, 2003;Zhang et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

A data‐adaptive spatial resolution method for three‐dimensional inversion of triaxial borehole electromagnetic measurements

Alpak

Mallan

Hou

et al. 2005

SEG Technical Program Expanded Abstracts 2005

View full text Add to dashboard Cite

We develop a novel adaptive inversion technique: Data-adaptive Spatial Resolution Inversion (DSRI) method. DSRI eliminates the need to select parameterization prior to inversion. Instead, one performs a hierarchical search for the correct parameterization while solving a sequence of inverse problems with an increasing dimension of parameterization. A parsimonious approach to the inverse problem involves the application of the same refinement applied all over the spatial domain. Such an approach may lead to over-parameterization, subsequently, to unrealistic conductivity estimates and excessive computational work. With DSRI technique, the new parameterization at an arbitrary stage of inversion sequence is allocated such that new degrees of freedom are not necessarily introduced all over the spatial domain of the electromagnetic problem. The aim is to allocate new degrees of freedom only where it is warranted by the data. Inversion results confirm that DSRI constitutes a robust technique for efficient multiparameter inversion of multicomponent electromagnetic measurements.

show abstract

An efficient and accurate pseudo 2‐D inversion scheme for multicomponent induction log data

Cited by 9 publications

References 2 publications

Data-Adaptive Resolution Method for the Parametric Three-Dimensional Inversion of Triaxial Borehole Electromagnetic Measurements

Data-Adaptive Resolution Method for the Parametric Three-Dimensional Inversion of Triaxial Borehole Electromagnetic Measurements

Rigorous 3D inversion of tensor electrical and magnetic induction well logging data in inhomogeneous media

A data‐adaptive spatial resolution method for three‐dimensional inversion of triaxial borehole electromagnetic measurements

Contact Info

Product

Resources

About