Future Directions of Electromagnetic Methods for Hydrocarbon Applications

被引:45
|
作者
Strack, K. M. [1 ]
机构
[1] KMS Technol KJT Enterprises Inc, Houston, TX 77077 USA
关键词
Electromagnetics; Hydrocarbon exploration; Electrical geophysics; MARINE MAGNETOTELLURICS; PETROLEUM-EXPLORATION;
D O I
10.1007/s10712-013-9237-z
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
For hydrocarbon applications, seismic exploration is the workhorse of the industry. Only in the borehole, electromagnetic (EM) methods play a dominant role, as they are mostly used to determine oil reserves and to distinguish water from oil-bearing zones. Throughout the past 60 years, we had several periods with an increased interest in EM. This increased with the success of the marine EM industry and now electromagnetics in general is considered for many new applications. The classic electromagnetic methods are borehole, onshore and offshore, and airborne EM methods. Airborne is covered elsewhere (see Smith, this issue). Marine EM material is readily available from the service company Web sites, and here I will only mention some future technical directions that are visible. The marine EM success is being carried back to the onshore market, fueled by geothermal and unconventional hydrocarbon applications. Oil companies are listening to pro-EM arguments, but still are hesitant to go through the learning exercises as early adopters. In particular, the huge business drivers of shale hydrocarbons and reservoir monitoring will bring markets many times bigger than the entire marine EM market. Additional applications include support for seismic operations, sub-salt, and sub-basalt, all areas where seismic exploration is costly and inefficient. Integration with EM will allow novel seismic methods to be applied. In the borehole, anisotropy measurements, now possible, form the missing link between surface measurements and ground truth. Three-dimensional (3D) induction measurements are readily available from several logging contractors. The trend to logging-while-drilling measurements will continue with many more EM technologies, and the effort of controlling the drill bit while drilling including look-ahead-and-around the drill bit is going on. Overall, the market for electromagnetics is increasing, and a demand for EM capable professionals will continue. The emphasis will be more on application and data integration (bottom-line value increase) and less on EM technology and modeling exercises.
引用
收藏
页码:157 / 177
页数:21
相关论文
共 50 条
  • [21] Survey on Learning-Based Formal Methods: Taxonomy, Applications and Possible Future Directions
    Wang, Fujun
    Cao, Zining
    Tan, Lixing
    Zong, Hui
    IEEE ACCESS, 2020, 8 : 108561 - 108578
  • [22] FUTURE-DIRECTIONS OF ELECTROMAGNETIC NUCLEAR-PHYSICS
    PENNER, S
    BULLETIN OF THE AMERICAN PHYSICAL SOCIETY, 1981, 26 (04): : 574 - 574
  • [23] Electromagnetic Imaging: Methods and Applications
    Pastorino, Matteo
    2015 IEEE 15TH MEDITERRANEAN MICROWAVE SYMPOSIUM (MMS), 2015,
  • [24] Directions, applications and methods in robust control
    Lanzon, Alexander
    OPTIMAL CONTROL APPLICATIONS & METHODS, 2009, 30 (03): : 223 - 224
  • [25] Applications of inexact programming methods to waste management under uncertainty: current status and future directions
    Sun, Wei
    An, Chunjiang
    Li, Gongchen
    Lv, Ying
    Environmental Systems Research, 2014, 3 (01)
  • [26] Advancing cardiac regeneration through 3D bioprinting: methods, applications, and future directions
    Zheng, Zilong
    Tang, Weijie
    Li, Yichen
    Ai, Yinze
    Tu, Zhi
    Yang, Jinfu
    Fan, Chengming
    HEART FAILURE REVIEWS, 2024, 29 (03) : 599 - 613
  • [27] Rational, computer-enabled peptide drug design: principles, methods, applications and future directions
    Diller, David J.
    Swanson, Jon
    Bayden, Alexander S.
    Jarosinski, Mark
    Audie, Joseph
    FUTURE MEDICINAL CHEMISTRY, 2015, 7 (16) : 2173 - 2193
  • [28] Advancing cardiac regeneration through 3D bioprinting: methods, applications, and future directions
    Zilong Zheng
    Weijie Tang
    Yichen Li
    Yinze Ai
    Zhi Tu
    Jinfu Yang
    Chengming Fan
    Heart Failure Reviews, 2024, 29 : 599 - 613
  • [29] Applications of machine learning methods in traffic crash severity modelling: current status and future directions
    Wen, Xiao
    Xie, Yuanchang
    Jiang, Liming
    Pu, Ziyuan
    Ge, Tingjian
    TRANSPORT REVIEWS, 2021, 41 (06) : 855 - 879
  • [30] Systematic review of ecosystem services flow measurement: Main concepts, methods, applications and future directions
    Wang, Lijuan
    Zheng, Hua
    Chen, Yongzhe
    Ouyang, Zhiyun
    Hu, Xiaofei
    ECOSYSTEM SERVICES, 2022, 58