Feed aggregator

SummaryModelling induced polarization (IP) effects in electromagnetic (EM) data is increasingly becoming a standard tool in mineral exploration, but the industry standard is still based on one-dimensional (1D) forward and Jacobian modelling. We have developed a three-dimensional (3D) electromagnetic forward and inversion method within the EEMverter modelling platform, incorporating IP effects. The 3D computations are performed in the frequency domain using the vector finite element method and then transformed into the time domain via Hankel transformation. This approach enables modeling of any IP parameterization, ranging from the simple constant phase angle model to a full Debye decomposition. Furthermore, 3D forward modeling mesh and inversion mesh are built independently: an Octree forward mesh is designed for efficient spatial segmentation for single or multiple soundings, while the inversion parameters are defined on a structured model mesh, which is linked to the forward meshes via interpolation. In conjunction with the development of a full 3D EM-IP inversion, we introduce a novel 3D inversion workflow. This workflow allows for hybrid 1D-3D computations, both sequentially and spatially, enabling 3D modeling exclusively in the most significant and interesting areas of the survey. We tested the hybrid 1D-3D inversion workflow using airborne electromagnetic (AEM) data acquired by Xcalibur with the HeliTEM system in the Staré Ransko area (Czech Republic), known for its gabbro-peridotite rocks hosting nickel-copper±cobalt, platinum group element (Ni-Cu±Co, PGE) mineralization. The results demonstrate that the hybrid inversion effectively addresses the challenges of 3D modeling on large-scale datasets. It enhances interpretation reliability in regions with strong 3D effects and shows a significant spatial correlation between resistivity and chargeability phase anomalies and known mineral deposits. Moreover, both synthetic and field data indicate that the resistivity parameter is more sensitive to 3D effects than the chargeability phase parameter.

Currently, scientists struggle to forecast volcano eruption events, as no universally reliable, real-time eruption forecasting framework is available. Instead, researchers often rely on retrospective analysis to evaluate eruptions. And although much has been learned from doing this, it can sometimes introduce biases, such as data snooping, hindsight reinterpretation, and post-eruption model adjustment.

Publication date: 15 November 2025

Source: Advances in Space Research, Volume 76, Issue 10

Author(s): Praveen Kumar, Pallavi Banerjee Chattopadhyay, Ravi Shankar Dubey, Priyanka Negi

Publication date: 15 November 2025

Source: Advances in Space Research, Volume 76, Issue 10

Author(s): Chaoyang Zhang, João Encarnação, Rosana A. Dias, Tiago Hormigo, Ines S. Garcia, Filipe S. Alves, Byron Tapley

Publication date: 15 November 2025

Source: Advances in Space Research, Volume 76, Issue 10

Author(s): Nicole A. Pallotta, Shane Benziger, Michael C.F. Bazzocchi

Publication date: 15 November 2025

Source: Advances in Space Research, Volume 76, Issue 10

Author(s): P.A. Klimov, V.D. Nikolaeva, K.D. Shchelkanov, A.S. Kirillov, V.A. Sergeev, A.A. Belov

Publication date: 15 November 2025

Source: Advances in Space Research, Volume 76, Issue 10

Author(s): Salah-Eddine Tbahriti, Nabil Boughanmi

Publication date: 15 November 2025

Source: Advances in Space Research, Volume 76, Issue 10

Author(s): A.V. Koustov, H. Fast, J.K. Burchill, L. Lomidze, A. Kouznetsov, M. Ghalamkarian Nejad

Publication date: 15 November 2025

Source: Advances in Space Research, Volume 76, Issue 10

Author(s): Zehong Cao, Ankang He, Kaiping Luo

Publication date: 15 November 2025

Source: Advances in Space Research, Volume 76, Issue 10

Author(s): Ana L. Christovam, Fabricio S. Prol, Marcio T.A.H. Muella, Giorgio A.S. Picanço, Paulo O. Camargo, João Francisco G. Monico

Publication date: 15 November 2025

Source: Advances in Space Research, Volume 76, Issue 10

Author(s): Yongsheng Liu, Dongfang Lin, Sichun Long, Xuan Wang, Kailin Zhu

Publication date: 15 November 2025

Source: Advances in Space Research, Volume 76, Issue 10

Author(s): Shixiang Cai, Xiaoying Gong, Canyang Shi, Zhengli Yang, Heng Lu

Publication date: 15 November 2025

Source: Advances in Space Research, Volume 76, Issue 10

Author(s): Chaman Gul, Shichang Kang, Yuanjian Yang, Xinlei Ge, Dong Guo, Yueyue Yu

Publication date: 15 November 2025

Source: Advances in Space Research, Volume 76, Issue 10

Author(s): Saptarshi Dey, Abishek Murugesan, Rucha Dave, Koushik Saha

Publication date: 15 November 2025

Source: Advances in Space Research, Volume 76, Issue 10

Author(s): Rajarshi Barman, Nirupam Roy

Publication date: 15 November 2025

Source: Advances in Space Research, Volume 76, Issue 10

Author(s): Gaurav Verma, Vaishali, Neha, Shailendra Saini, Rupesh M. Das

Publication date: 15 November 2025

Source: Advances in Space Research, Volume 76, Issue 10

Author(s): Liang Li, Zelin Liu, Liuqi Wang, Hao Xiao, Min Li

Publication date: 15 November 2025

Source: Advances in Space Research, Volume 76, Issue 10

Author(s): Yangmao Wen, Qiuhao Cheng, Kefeng He, Yang Liu, Caijun Xu

Publication date: 15 November 2025

Source: Advances in Space Research, Volume 76, Issue 10

Author(s): Yuxiao Wang, Fan Wen, Qian Yu, Xia Zhao, Zhaobing Wang, Yi Chen, Chuang Song

Publication date: 15 November 2025

Source: Advances in Space Research, Volume 76, Issue 10

Author(s): Afnan Tahir, Falin Wu, Munawar Shah, Punyawi Jamjareegulgarn, Muhammad Ayyaz Ameen