Environmental corrections of a dual-induction logging while drilling tool in vertical wells

Kang, Zhengming; Ke, Shizhen; Jiang, Ming; Yin, Chengfang; Anzong, Li; Li, Junjian

doi:10.1016/j.jappgeo.2018.01.023

Cited by 8 publications

(9 citation statements)

References 10 publications

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“…As is shown in Figure 14, correction coefficient R t /R a is negatively correlated with the thickness of the target formation and positively correlated with R t /R s , which is consistent with the theory of well logging [36,37]. Correction coefficient Rt/Ra is generally used to describe the influence of surrounding rock [36,37]. The closer Rt/Ra is to 1, the smaller the influence of surrounding rock is.…”

Section: Influence Of Surrounding Rock and Vertical Resolutionsupporting

confidence: 77%

“…In the well logging field, detection depth refers to the horizontal range of the detectable formation that affects the measurement results, while invasion radius means the invasion degree of the OBM into the formation while drilling [36,37]. The detection depth of the logging instrument is generally determined by the pseudo geometric factor, i.e.…”

Section: Detection Depth and Invasion Radiusmentioning

confidence: 99%

“…The detection depth of the logging instrument is generally determined by the pseudo geometric factor, i.e. the detection depth equals to the invasion radius where the pseudo geometric factor is 0.5 [36,37]. The pseudo geometric factor G is determined by the following equation:…”

Section: Detection Depth and Invasion Radiusmentioning

confidence: 99%

“…When the invasion radius is large enough, the pseudo geometric factor G is almost unchanged. At G = 0.5, the invasion radius is 0.35 m, so the detection depth of the logging instrument is 0.35 m. equals to the invasion radius where the pseudo geometric factor is 0.5 [36,37]. The pseudo geometric factor G is determined by the following equation:…”

Section: Detection Depth and Invasion Radiusmentioning

confidence: 99%

“…Sensors 2019, 19, x FOR PEER REVIEW 9 of 16 equals to the invasion radius where the pseudo geometric factor is 0.5 [36,37]. The pseudo geometric factor G is determined by the following equation:…”

Section: Influence Of Surrounding Rock and Vertical Resolutionmentioning

confidence: 99%

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A New Logging-While-Drilling Method for Resistivity Measurement in Oil-Based Mud

Zhang

et al. 2020

Sensors

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Resistivity logging is an important technique for identifying and estimating reservoirs. Oil-based mud (OBM) can improve drilling efficiency and decrease operation risks, and has been widely used in the well logging field. However, the non-conductive OBM makes the traditional logging-while-drilling (LWD) method with low frequency ineffective. In this work, a new oil-based LWD method is proposed by combining the capacitively coupled contactless conductivity detection (C4D) technique and the inductive coupling principle. The C4D technique is to overcome the electrical insulation problem of the OBM and construct an effective alternating current (AC) measurement path. Based on the inductive coupling principle, an induced voltage can be formed to be the indirect excitation voltage of the AC measurement path. Based on the proposed method, a corresponding logging instrument is developed. Numerical simulation was carried out and results show that the logging instrument has good measurement accuracy, deep detection depth and high vertical resolution. Practical experiments were also carried out, including the resistance box experiment and the well logging experiment. The results of the resistance box experiment show that the logging instrument has good resistance measurement accuracy. Lastly, the results of the well logging experiment indicate that the logging instrument can accurately reflect the positions of different patterns on the wellbore of the experimental well. Both numerical simulation and practical experiments verify the feasibility and effectiveness of the new method.

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Section: Influence Of Surrounding Rock and Vertical Resolutionsupporting

confidence: 77%

Section: Detection Depth and Invasion Radiusmentioning

confidence: 99%

Section: Detection Depth and Invasion Radiusmentioning

confidence: 99%

Section: Detection Depth and Invasion Radiusmentioning

confidence: 99%

Section: Influence Of Surrounding Rock and Vertical Resolutionmentioning

confidence: 99%

See 3 more Smart Citations

A New Logging-While-Drilling Method for Resistivity Measurement in Oil-Based Mud

Zhang

et al. 2020

Sensors

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3D FEM simulation of responses of LWD multi-mode resistivity imaging sonde

Kang

et al. 2018

Appl. Geophys.

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Numerical simulation and dimension reduction analysis of electromagnetic logging while drilling of horizontal wells in complex structures

Deng

et al. 2020

Pet. Sci.

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Electromagnetic logging while drilling (LWD) is one of the key technologies of the geosteering and formation evaluation for high-angle and horizontal wells. In this paper, we solve the dipole source-generated magnetic/electric fields in 2D formations efficiently by the 2.5D finite difference method. Particularly, by leveraging the field's rapid attenuation in spectral domain, we propose truncated Gauss-Hermite quadrature, which is several tens of times faster than traditional inverse fast Fourier transform. By applying the algorithm to the LWD modeling under complex formations, e.g., folds, fault and sandstone pinch-outs, we analyze the feasibility of the dimension reduction from 2D to 1D. For the formations with smooth lateral changes, like folds, the simplified 1D model's results agree well with the true responses, which indicate that the 1D simplification with sliding window is feasible. However, for the formation structures with drastic rock properties changes and sharp boundaries, for instance, faults and sandstone pinch-outs, the simplified 1D model will lead to large errors and, therefore, 2.5D algorithms should be applied to ensure the accuracy.

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Environmental corrections of a dual-induction logging while drilling tool in vertical wells

Cited by 8 publications

References 10 publications

A New Logging-While-Drilling Method for Resistivity Measurement in Oil-Based Mud

A New Logging-While-Drilling Method for Resistivity Measurement in Oil-Based Mud

3D FEM simulation of responses of LWD multi-mode resistivity imaging sonde

Numerical simulation and dimension reduction analysis of electromagnetic logging while drilling of horizontal wells in complex structures

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