Application of 3D marine controlled-source electromagnetic finite-element forward modeling to hydrocarbon exploration in the Flemish Pass Basin offshore Newfoundland, Canada

Geophysics ◽  
2018 ◽  
Vol 83 (2) ◽  
pp. WB33-WB49 ◽  
Author(s):  
Michael W. Dunham ◽  
SeyedMasoud Ansari ◽  
Colin G. Farquharson

In recent years, marine controlled-source electromagnetic (CSEM) surveying has become an effective supplemental interpretation tool to the seismic reflection method to help mitigate risk in an offshore exploration setting. Interpretation of marine CSEM data is commonly achieved via finite-difference inversions on rectilinear meshes, which has its merits, but the results are typically of very low resolution. The alternative is forward modeling, which requires a model to be known a priori, but the detail of the model can be created to reflect realistic geologic conditions. What is typically seen in the literature are applications of EM forward modeling codes to synthetic, and sometimes complex synthetic, models. However, what the literature is missing is an application that overcomes the challenges of applying a 3D forward modeling method to real models constructed from real information. We have developed an application of a 3D marine CSEM finite-element forward modeling method to the Bay du Nord prospect in the Flemish Pass Basin offshore Newfoundland. The 3D resistivity model, composed of four topographical layers and the Bay du Nord reservoir body, was built using 2D seismic data, one well log, and a marine CSEM inversion. Although other mesh representations have their merits, we chose to discretize our 3D model into an unstructured tetrahedral mesh because its flexibility enabled the accurate representation of complex structures while minimizing the number of unknowns. The availability of measured marine CSEM data allowed for the resistivities of each layer in the 3D model to be refined, and it also allowed for the simulated data to be assessed in the context of the real noise levels. A subsequent sensitivity analysis of the forward modeling results provided insights regarding the detectability of the Bay du Nord reservoir.

Geophysics ◽  
2007 ◽  
Vol 72 (2) ◽  
pp. WA63-WA71 ◽  
Author(s):  
Yuguo Li ◽  
Steven Constable

Marine controlled-source electromagnetic (CSEM) data are strongly affected by bathymetry because of the conductivity contrast between seawater and the crust below the seafloor. We simulate the marine CSEM response to 2D bathymetry using our new finite element (FE) code, and our numerical modeling shows that all electric and magnetic components are influenced by bathymery, but to different extents. Bathymetry effects depend upon transmission frequency, seabed conductivity, seawater depth, transmitter-receiver geometry, and roughness of the seafloor topography. Bathymetry effects clearly have to be take into account to avoid the misinterpretation of marine CSEM data sets.


2018 ◽  
Vol 15 (3-4) ◽  
pp. 536-544
Author(s):  
Feng Zhou ◽  
Jing-Tian Tang ◽  
Zheng-Yong Ren ◽  
Zhi-Yong Zhang ◽  
Huang Chen ◽  
...  

2017 ◽  
Vol 36 (4) ◽  
pp. 352-355 ◽  
Author(s):  
Dieter Werthmüller

Forward modeling is an important part of understanding controlled-source electromagnetic (CSEM) responses. The diffusive term in the electromagnetic wave equation is dominant over the displacement term at these frequencies. It is the diffusive behavior that makes it difficult to imagine the actual propagation of the signal. An important tool in gaining experience therefore is forward modeling, and lots of it. The advantage of one-dimensional (1D) forward modeling, besides its speed, is to study isolated effects (see for instance Key, 2009): What is the influence of resistivity anisotropy, or of fine-scale resistivity variations? What is the influence of the airwave? With 1D modeling you can quickly study these effects in isolation before you go on to more complex models in higher dimensions. For an introduction to CSEM for hydrocarbon exploration see, for instance, Constable (2010).


2009 ◽  
Author(s):  
Xiao-zhong Tong ◽  
Jian-xin Liu ◽  
Ling-hua Xu ◽  
Ya Sun ◽  
Wen-tai Lei

Geophysics ◽  
2020 ◽  
pp. 1-60
Author(s):  
Hongzhu Cai ◽  
Zhidan Long ◽  
Wei Lin ◽  
Jianhui Li ◽  
Pinrong Lin ◽  
...  

In controlled-source electromagnetic (CSEM) inversion with conventional regularization, the reconstructed conductivity image is usually blurry and only has limited resolution. To effectively obtain more compact conductivity models, we apply the concept of multinary transformation to CSEM inversion based on the finite element (FE) method with unstructured tetrahedral mesh. Within the framework of multinary inversion, the model conductivities are only allowed to be clustered within the designed values which is usually obtained from other a priori information or the conventional inversion. The synthetic studies show that the multinary inversion produces conductivity images with clearer model boundaries comparing to both the maximum smoothness inversion and the focusing inversion for realistic geoelectric models. We further applied the developed method to a land CSEM survey for mineral exploration. The multinary inversion results are closer to the ground truth comparing to the conventional maximum smoothness inversion and the focusing inversion. The developed method and numerical algorithm provide a new approach and workflow for CSEM inversion when the models need to have clear boundaries and clustering model values. Such geoelectric models could be very useful for geological interpretation in oil and mineral exploration when the a priori information (such as the estimated conductivity values) of the exploration targets is known.


2020 ◽  
Author(s):  
Gang Li ◽  
Shuangmin Duan ◽  
Hongzhu Cai ◽  
Bo Han ◽  
Yixin Ye

<p>We present an improved interpolation scheme for 2.5D marine controlled-source electromagnetic (CSEM) forward modeling problem. As the resistivity contrast between the seawater and seafloor sediment layers is significant, it is usually difficult to compute the EM fields accurately at receivers which are usually located at the seafloor. In this study, a new interpolation scheme at receivers is proposed, in which the interpolation of EM fields at the cell nodes for the whole computational domain to arbitrary receiver locations is discussed in detail. Numerical tests indicate that, our improved interpolation is more accurate for simulating the EM responses at receivers located on the seafloor, compared with the linear or rigorous interpolation.</p>


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