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• W2001331302 abstract "Abstract Thinly laminated sand-shale formations represent a difficult challenge for petrophysical evaluation. The conductive shale laminations have a profound effect on the traditional induction log, causing it to read the shale laminations significantly lower than the high-resistivity sand layers. This misreading leads to pessimistic computations of water saturation and estimations of reserve. The newly developed triaxial induction logging tool provides much more information than the conventional induction logging measurement. It is not only sensitive to the effective horizontal resistivity, which is dominated by the conductive shale layers, but it is also sensitive to the effective vertical resistivity, which is determined by the conductive shale and the resistive sand, at any dip angle. A key challenge of developing the triaxial induction array is the large borehole effect on coplanar couplings when the tool is eccentered in the transverse direction in water-base mud boreholes. To reduce the borehole effect to a manageable level, a new design with multiple electrodes has been implemented. Tank experiments and numerical modeling results show the borehole effect is reduced dramatically by using this design. A parametric inversion algorithm to simultaneously determine the horizontal resistivity, vertical resistivity, formation dip, and azimuthal angle and bed boundary position from the triaxial induction logging data will be presented. The inversion problem is solved by employing a weighted, constrained, and regularized Gauss-Newton minimization scheme. To archive the practical application of the inversion algorithm, a fast Jacobian matrix computation is implemented to improve the efficiency. Furthermore, a multiplicative regularization technique is used to automatically determine the regularization coefficient. Synthetic examples will be presented to indicate the robustness of the algorithm. A quantitative interpretation method of water saturation in laminated shale-sand formation will be presented. Shale anisotropy is taken into account for building the interpretation model. Two field examples demonstrate the laminated shale-sand analysis improves the estimate of hydrocarbons in place." @default.
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• W2001331302 date "2006-12-05" @default.
• W2001331302 modified "2023-10-10" @default.
• W2001331302 title "Triaxial Induction Logging: Theory, Modeling, Inversion, and Interpretation" @default.
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• W2001331302 doi "https://doi.org/10.2118/103897-ms" @default.
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