1887

Abstract

Summary

We are developing a general one-dimensional (1D), 1.5D, 2D, 2.5D, and 3D Finite Element (FE) library for the fast simulation of borehole resistivity measurements. The library enables to combine problems with different spatial dimensionality and solve them using a single software. As a first step towards the fast inversion of geophysical data, in this work we focus on the rapid simulations of 2.5D logging-while-drilling (LWD) borehole resistivity measurements. Given a commercial logging instrument configuration, we calibrate the FE method offline with respect to (i) the element sizes via non-uniform tensor product grids; (ii) the arbitrary polynomial order of approximation on each element; and (iii) the interpolation of certain Fourier modes. This leads to the design of proper FE discretizations to simulate measurements acquired in an arbitrary 2D formation.Numerical results show that we accurately simulate on a sequential computer any field component at a rate faster than one second per logging position. In parallel, it is expected that the CPU time can be further reduced to below 0.1 seconds per logging position in a modest 128-core for all components of a tri-axial logging instrument. Derivatives (sensitivity functions) needed by gradient-based inverse methods are easily and rapidly computed using an adjoint-based formulation.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201700501
2017-06-12
2024-04-20
Loading full text...

Full text loading...

References

  1. Bakr, S., Pardo, D. and Torres-Verdín, C
    . [2016] Fast inversion of logging-while-drilling resistivity measurements acquired in multiple wells. Submitted to Geophysics.
    [Google Scholar]
  2. Dupuis, C. and Denichou, J.M.
    [2015] Automatic inversion of deep-directional-resistivity measurements for well placement and reservoir description. The Leading Edge, 34(5), 504–512.
    [Google Scholar]
  3. Pardo, D. and Torres-Verdín, C
    . [2015] Fast 1D inversion of logging-while-drilling resistivity measurements for improved estimation of formation resistivity in high-angle and horizontal wells. Geophysics, 80(2),E111–E124.
    [Google Scholar]
  4. Rodríguez-Rozas, Á. and Pardo, D.
    [2016] A priori Fourier analysis for 2.5D finite elements simulations of logging-while-drilling (LWD) resistivity measurements. Procedia Computer Science, 80, 782–791. International Conference on Computational Science 2016 (ICCS 2016), San Diego, California, USA.
    [Google Scholar]
  5. Rothwell, E.J. and Cloud, M.J.
    [2010] Electromagnetics. Electrical Engineering Textbook Series. Taylor & Francis.
    [Google Scholar]
  6. Shen, J. and Sun, W.
    [2008] 2.5-D modeling of cross-hole electromagnetic measurement by finite element method. Petroleum Science, 5(2), 126–134.
    [Google Scholar]
  7. Zhou, J.
    [2015] Uncertainty in geosteering and interpretation of horizontal wells — The necessity for constraints and geometric models. The Leading Edge, 34(5), 492–499.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201700501
Loading
/content/papers/10.3997/2214-4609.201700501
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error