Electromagnetic Logging Response in Multilayered Formation With Arbitrary Uniaxially Electrical Anisotropy

Hu, Xufei; Fan, Yiren; Deng, Shaogui; Yuan, Xingqiu; Li, Haitao

doi:10.1109/tgrs.2019.2952952

Cited by 11 publications

(3 citation statements)

References 12 publications

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“…Introducing the magnetic Hertz potential (Moran and Gianzero, 1979;Bai et al, 2020;Li H. et al, 2020;Li K. et al, 2020;Hu et al, 2020), the VMD can be expressed as M ẑM z δ( r − r t ), the Hertz potential has only a z-component π ẑπ z , and the Hertz potential in the spectral domain of layered media can be expressed as follows:…”

Section: Numerical Simulation Methodsmentioning

confidence: 99%

Boundary detection capability and influencing factors of electromagnetic resistivity while using drilling tools in a horizontal well

et al. 2023

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With the increase in the scale of mining in horizontal and highly deviated wells, electromagnetic boundary detection while drilling plays an important role in boundary detection. This paper examines three types of antenna structures commonly used in electromagnetic boundary detection and measurement methods and also performs a numerical simulation of the edge detection capability of the three structures in horizontal wells. The simulation experiment analyzes the influence of formation resistivity contrast, frequency, spacing, and other factors on the capability of edge detection and provides data that supports the design of instrument antenna parameters. The numerical simulation shows that the tilted and orthogonal receiving antennas demonstrate improved performance both in detecting the interface when approaching from high-resistance layers and low-resistance layers. In addition, the capability of boundary detection can be improved by decreasing the frequency and increasing the spacing between the transmitter and receiver.

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Section: Numerical Simulation Methodsmentioning

confidence: 99%

Boundary detection capability and influencing factors of electromagnetic resistivity while using drilling tools in a horizontal well

et al. 2023

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“…Currently, there are mainly three well logging approaches: acoustic logging [6,7], nuclear logging [8,9] and electrical logging [10,11]. Acoustic logging makes use of the characteristics of acoustic wave propagation in different formations to obtain the geological characteristics such as subsurface holes, cracks, collapses and debris [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

A Universal Multi-Frequency Micro-Resistivity Array Imaging Method for Subsurface Sensing

Yang

Liu

et al. 2022

Remote Sensing

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In this paper, a universal multi–frequency micro-resistivity array imaging (UMMAI) system for subsurface sensing is developed and verified. Different from conventional micro-resistivity imaging equipments, UMMAI is capable to provide high-resolution fullbore formation images in multiple logging environments including an oil-based mud scene, water-based mud scene and water-oil mixed mud scene, owning to the large dynamic range and good linearity of transceivers. With the advantage of diversity in excitation signal frequency, UMMAI presents abundant amplitude–frequency characteristics response images and phase–frequency characteristics response images of subsurface formations at the same time, which is beneficial to multi–frequency image fusion in the future. The fullbore imaging ability of UMMAI is evaluated in three different field tests, and the results show that UMMAI can give satisfactory credible formation images with high resolution, which is suitable for subsurface formation discrimination and useful for reservoir identification.

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“…This requires interpretation of borehole induction measurements via an inversion method. One-point-five-dimensional (1.5D) inversion has been widely implemented for well geosteering (see, e.g., [4], [5]) because of its low computational cost. However, it may cause critical misinterpretations in certain geological structures: for example, when the well trajectory crosses a geological fault.…”

Section: Introductionmentioning

confidence: 99%

2.5-D Deep Learning Inversion of LWD and Deep-Sensing EM Measurements Across Formations With Dipping Faults

Noh

Pardo

Torres‐Verdín

2022

IEEE Geosci. Remote Sensing Lett.

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Electromagnetic Logging Response in Multilayered Formation With Arbitrary Uniaxially Electrical Anisotropy

Cited by 11 publications

References 12 publications

Boundary detection capability and influencing factors of electromagnetic resistivity while using drilling tools in a horizontal well

Boundary detection capability and influencing factors of electromagnetic resistivity while using drilling tools in a horizontal well

A Universal Multi-Frequency Micro-Resistivity Array Imaging Method for Subsurface Sensing

2.5-D Deep Learning Inversion of LWD and Deep-Sensing EM Measurements Across Formations With Dipping Faults

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