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Year 2020
 
Vol 61, Issue 1, [02 - 2020]

Inversion of multiple data sets acquired by different array configuration of geoelectrical resistivity method

DOI:10.46326/JMES.2020.61(1).06

  • Affiliations:

    Faculty of Oil and Gas, Hanoi University of Mining and Geology, Vietnam

  • *Corresponding:
    kieuduythong@humg. edu. vn
  • Received: 15th-Dec-2019
  • Revised: 6th-Jan-2020
  • Accepted: 28th-Feb-2020
  • Online: 28th-Feb-2020
Pages: 52 - 60
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Abstract:

The geoelectrical resistivity method is one of the most commonly used geophysical methods. This method uses different electrodes configuration, electrode array, depending on the purpose and conditions of the field, each type of array has its advantages and disadvantages. Due to the development of data acquisition technology, it is common for geoelectrical instruments enable to record data arising from different electrode arrays with negligible real-time construction. However, current software’s only allows to process for each individual electrode array. Inverted models of different electrode array can be integrated to build a common earth model. However, due to the nature of the geophysical inversion is non-unique solutions, it means that there will be an infinite of models that can be suitable for a measurement in a certain noise level. This leads to the same measurement data in an area with different electrode array may produce different geoelectrical models making the dificulty for integration process. To solve this problem, we utilise the simultaneous joint inversion algorithm of data sets arising from multiple electrode arrays. The test results on synthetic data show that this combination is better than the solution of each individual electrode array. The best result is a combination of pole - dipole (PD), dipole - pole (DP) and dipole - dipole (DD).

How to Cite
Kieu, T.Duy 2020. Inversion of multiple data sets acquired by different array configuration of geoelectrical resistivity method (in Vietnamese). Journal of Mining and Earth Sciences. 61, 1 (Feb, 2020), 52-60. DOI:https://doi.org/10.46326/JMES.2020.61(1).06.
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