Seismic image-guided 3D inversion of marine controlled-source electromagnetic and magnetotelluric data

被引:17
|
作者
Mackie, Randall L. [1 ]
Meju, Max A. [2 ]
Miorelli, Federico [1 ]
Miller, Roger, V [2 ]
Scholl, Carsten [1 ]
Saleh, Ahmad Shahir [2 ]
机构
[1] CGG Multi Phys Imaging, I-20133 Milan, Italy
[2] Ctr Adv Imaging, Petronas Twin Towers, Petronas Upstream, Kuala Lumpur 50088, Malaysia
关键词
DC RESISTIVITY; CSEM DATA; EXPLORATION; ANISOTROPY; RISK;
D O I
10.1190/INT-2019-0266.1
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Geologic interpretation of resistivity models from marine controlled-source electromapetic (CSEM) and magnetotelluric (MT) data for hydrocarbon exploration and reservoir monitoring can be problematic due to structural complexity and low-resistivity contrasts in sedimentary units typically found in new frontier areas. It is desirable to reconstruct 3D resistivity structures that are consistent with seismic images and geologic expectations of the subsurface to reduce uncertainty in the evaluation of petroleum ventures. Structural similarity is achieved by promoting a cross-gradient constraint between external seismically derived gradient fields and the inversion resistivity model. The gradient fields come from coherency weighted structure tensors computed directly from the seismic volume. Consequently, structural similarity is obtained without the requirement for any horizon interpretation or picking, thus significantly reducing the complexity and effort. We have determined the effectiveness of this approach using CSEM, MT, and seismic data from a structurally complex fold-thrust belt in offshore northwest Borneo.
引用
收藏
页码:SS1 / SS13
页数:13
相关论文
共 50 条
  • [21] 3D multinary inversion of controlled-source electromagnetic data based on the finite-element method with unstructured mesh
    Cai, Hongzhu
    Long, Zhidan
    Lin, Wei
    Li, Jianhui
    Lin, Pinrong
    Hu, Xiangyun
    GEOPHYSICS, 2021, 86 (01) : E77 - E92
  • [22] Inversion of controlled-source tensor magnetotelluric data for a layered earth with azimuthal anisotropy
    Li, XB
    Oskooi, B
    Pedersen, LB
    GEOPHYSICS, 2000, 65 (02) : 452 - 464
  • [23] 3D Marine Controlled-Source Electromagnetic Numerical Simulation Considering Terrain and Static Effect
    Gu, Chunying
    Li, Suyi
    Zhang, Wanyue
    Peng, Silun
    APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY JOURNAL, 2024, 39 (06):
  • [24] Inversion of controlled-source tensor magnetotelluric data for a layered earth with azimuthal anisotropy
    Li, Xiaobo
    Oskooi, Behrooz
    Pedersen, Laust B.
    2000, Society of Exploration Geophysicists (65)
  • [25] 3-D Structurally Constrained Inversion of the Controlled-Source Electromagnetic Data Using Octree Meshes
    Liu, Jiren
    Xiao, Xiao
    Tang, Jingtian
    Zhou, Cong
    Li, Yinhang
    Zhou, Feihu
    Pang, Cheng
    Zhou, Shuguang
    Wang, Hong
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 62
  • [26] An Efficient Algorithm of Explicit Sensitivity Matrix in 3D Marine Controlled-source Electromagnetic Imaging
    Chen, Bo
    Wang, Hongnian
    Yang, Shouwen
    2019 PHOTONICS & ELECTROMAGNETICS RESEARCH SYMPOSIUM - FALL (PIERS - FALL), 2019, : 889 - 896
  • [27] Simulated annealing for controlled-source audio-frequency magnetotelluric data inversion
    Wang, Ruo
    Yin, Changchun
    Wang, Miaoyue
    Wang, Guangjie
    GEOPHYSICS, 2012, 77 (02) : E127 - E133
  • [28] Joint focusing inversion of marine controlled-source electromagnetic and full tensor gravity gradiometry data
    Tu, Xiaolei
    Zhdanov, Michael S.
    GEOPHYSICS, 2022, 87 (05) : K35 - K47
  • [29] Robust and accelerated Bayesian inversion of marine controlled-source electromagnetic data using parallel tempering
    Ray, Anandaroop
    Alumbaugh, David L.
    Hoversten, Michael
    Key, Kerry
    GEOPHYSICS, 2013, 78 (06) : E271 - E280
  • [30] Use of structure-guided 3D controlled-source electromagnetic inversion to map karst features in carbonates in offshore northwest Borneo
    Karpiah, Arvin B.
    Meju, Maxwell A.
    Saleh, Ahmad S.
    Heng, Pua Ming
    Das, Prabal S.
    Omar, Nurfaraheeda
    GEOPHYSICS, 2022, 87 (05) : E279 - E290