Forward modeling and inversion of LWD induction data

Эпов, М.И.; Глинских, В.Н.; Сухорукова, К. В.; Никитенко, М. Н.; Eremin, V. N.

doi:10.1016/j.rgg.2015.07.009

Cited by 10 publications

(1 citation statement)

References 8 publications

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“…Approximately a year ago, Russian scientists proposed and perfected a new LWD algorithm [21]. The implementation of the new algorithm avoids the manufacture and use of new instruments but just improves the processing methods of obtained signals.…”

Section: Geo-steering Technologymentioning

confidence: 99%

Review for GGD Intelligent Mining Technology

Wu¹,

Zhang²,

Chen³

et al. 2017

dtcse

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Miners' casualties and environmental disruption keep troubling mining industry while the ultimate prospect in mining industry to develop efficient and eco-friendly intelligent mining technology remains. The breakthrough of exploration technology and directional well technology provides new opportunities under the assistance of giant computer technology. This paper elaborates a new workflow of intelligent mining based on GGD (Geology; Geophysics; Drilling) technology. Meanwhile, it points the key technologies for realization procedures including the development of giant drilling and exploitation equipment and backfilling facilities. Most significantly, the application of GGD technology would bring about profound revolution in the design and manufacturing of mining equipment industry.

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Section: Geo-steering Technologymentioning

confidence: 99%

Review for GGD Intelligent Mining Technology

Wu¹,

Zhang²,

Chen³

et al. 2017

dtcse

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High-frequency induction logging in deviated and horizontal wells: Geosteering and inversion

Gorbatenko

Сухорукова

2016

Russian Geology and Geophysics

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The study focuses on processing methods for high-frequency induction data from deviated and horizontal wells. Simulation of electromagnetic fields with analytical algorithms is used to study how the resistivity of rocks above and below the well influences the acquired data. The simulations show that the contribution of under- and overlying layers into the recorded responses is considerable and depends on resistivity contrasts between the layers and on the position of logging arrays relative to the layer boundaries. This fact has to be taken into account when estimating true resistivity of reservoirs and when inverting induction logs from horizontal wells for reservoir characterization. The method is applied to oil- and water-saturated reservoirs in West Siberia, which contain high-resistivity impermeable layers leading to overestimation of apparent resistivity. Due regard for the effect of these layers in inversion of induction logs provides high-quality resistivity estimates.

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The effects of tool eccentricity and formation anisotropy on resistivity logs: forward modeling

Karinskiy

Daev

2016

Russian Geology and Geophysics

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The theory of resistivity logging (RL) originally stems from the Fock–Stefãnescu forward problem solution for the stationary electric field E in a piecewise homogeneous isotropic medium, with a single boundary corresponding to the surface of a cylinder unlimited by height. The cylinder simulates a borehole filled with drilling mud of resistivity ρ = ρb, which penetrates a formation with resistivity of rocks ρ = ρr. The primary field E is produced by the charge of a current electrode A placed on the cylinder axis. In this paper the forward problem for the field E is investigated for the electrode A at an arbitrary point off the axis of a borehole embedded in a transversely isotropic formation, with an anisotropy axis parallel to the borehole axis. The solution of forvard problem is used in algorithms and respective software for processing resistivity logs affected by electrode eccentricity and formation anisotropy. The changes caused to apparent resistivity by the two effects are estimated in percent for axial and lateral electrode dispositions.

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Forward modeling and inversion of LWD induction data

Cited by 10 publications

References 8 publications

Review for GGD Intelligent Mining Technology

Review for GGD Intelligent Mining Technology

High-frequency induction logging in deviated and horizontal wells: Geosteering and inversion

The effects of tool eccentricity and formation anisotropy on resistivity logs: forward modeling

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