Fast forward modeling and response analysis of extra-deep azimuthal resistivity measurements in complex model
The Extra-Deep Azimuthal Resistivity Measurements (EDARM) tool, as an emerging technology, can effectively identify geological interfaces within a range of several tens of meters around the borehole, providing geological structures for directional drilling, and effectively improving reservoir encoun...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Earth Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2025.1506238/full |
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| author | Pan Zhang Shaogui Deng Xiyong Yuan Fen Liu Weibiao Xie |
| author_facet | Pan Zhang Shaogui Deng Xiyong Yuan Fen Liu Weibiao Xie |
| author_sort | Pan Zhang |
| collection | DOAJ |
| description | The Extra-Deep Azimuthal Resistivity Measurements (EDARM) tool, as an emerging technology, can effectively identify geological interfaces within a range of several tens of meters around the borehole, providing geological structures for directional drilling, and effectively improving reservoir encounter rates and enhancing oil and gas recovery rates. However, the signal is jointly affected by interfaces located both ahead of the drill bit and around the borehole, making it impossible to directly obtain the interface position from the signal. Considering the increased detection range of EDARM and the requirements for computational efficiency, this paper presents a 2.5-dimensional (2.5D) finite element method (FEM). By leveraging the symmetry of simulated signals in the spectral domain, the algorithm reduces computation time by 50%, significantly enhancing computational efficiency while preserving accuracy. During the geosteering process, fault and wedge models were simulated, and various feature parameters were extracted to assess their impact on the simulation outcomes of EDARM. The results show that both Look-around and Look-ahead modes exhibit sensitivity to changes in the angle of the geological interface. Crossplot analysis allows for effective identification of interface inclinations and the distances between the instrument and the geological interface. This recognition method is quick, intuitive, and yields reliable results. |
| format | Article |
| id | doaj-art-1b1440a3d0004d889223fefaa6cbe3df |
| institution | Kabale University |
| issn | 2296-6463 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Earth Science |
| spelling | doaj-art-1b1440a3d0004d889223fefaa6cbe3df2025-01-22T07:11:17ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632025-01-011310.3389/feart.2025.15062381506238Fast forward modeling and response analysis of extra-deep azimuthal resistivity measurements in complex modelPan Zhang0Shaogui Deng1Xiyong Yuan2Fen Liu3Weibiao Xie4Petroleum Institute, China University of Petroleum-Beijing at Karamay, Karamay, ChinaSchool of Geosciences, China University of Petroleum, Qingdao, ChinaSinopec Matrix Corporation, Qingdao, ChinaPetroleum Institute, China University of Petroleum-Beijing at Karamay, Karamay, ChinaPetroleum Institute, China University of Petroleum-Beijing at Karamay, Karamay, ChinaThe Extra-Deep Azimuthal Resistivity Measurements (EDARM) tool, as an emerging technology, can effectively identify geological interfaces within a range of several tens of meters around the borehole, providing geological structures for directional drilling, and effectively improving reservoir encounter rates and enhancing oil and gas recovery rates. However, the signal is jointly affected by interfaces located both ahead of the drill bit and around the borehole, making it impossible to directly obtain the interface position from the signal. Considering the increased detection range of EDARM and the requirements for computational efficiency, this paper presents a 2.5-dimensional (2.5D) finite element method (FEM). By leveraging the symmetry of simulated signals in the spectral domain, the algorithm reduces computation time by 50%, significantly enhancing computational efficiency while preserving accuracy. During the geosteering process, fault and wedge models were simulated, and various feature parameters were extracted to assess their impact on the simulation outcomes of EDARM. The results show that both Look-around and Look-ahead modes exhibit sensitivity to changes in the angle of the geological interface. Crossplot analysis allows for effective identification of interface inclinations and the distances between the instrument and the geological interface. This recognition method is quick, intuitive, and yields reliable results.https://www.frontiersin.org/articles/10.3389/feart.2025.1506238/fullextra-deep azimuthal resistivity measurement2.5D finite element methodlogging while drillingboundary detectioncomplex model |
| spellingShingle | Pan Zhang Shaogui Deng Xiyong Yuan Fen Liu Weibiao Xie Fast forward modeling and response analysis of extra-deep azimuthal resistivity measurements in complex model Frontiers in Earth Science extra-deep azimuthal resistivity measurement 2.5D finite element method logging while drilling boundary detection complex model |
| title | Fast forward modeling and response analysis of extra-deep azimuthal resistivity measurements in complex model |
| title_full | Fast forward modeling and response analysis of extra-deep azimuthal resistivity measurements in complex model |
| title_fullStr | Fast forward modeling and response analysis of extra-deep azimuthal resistivity measurements in complex model |
| title_full_unstemmed | Fast forward modeling and response analysis of extra-deep azimuthal resistivity measurements in complex model |
| title_short | Fast forward modeling and response analysis of extra-deep azimuthal resistivity measurements in complex model |
| title_sort | fast forward modeling and response analysis of extra deep azimuthal resistivity measurements in complex model |
| topic | extra-deep azimuthal resistivity measurement 2.5D finite element method logging while drilling boundary detection complex model |
| url | https://www.frontiersin.org/articles/10.3389/feart.2025.1506238/full |
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