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Characteristics of the interface acoustoelectric conversion waveform in fluid-filled boreholes

  • Published:2021-12 Issue: Volume:207 Page:109174
  • ISSN:0920-4105
  • Container-title:Journal of Petroleum Science and Engineering
  • language:en
  • Short-container-title:Journal of Petroleum Science and Engineering

Author:

Zhang Guocan,Che Xiaohua,Qiao Wenxiao,Ju Xiaodong,Lu Junqiang,Men Baiyong

Funder

National Major Science and Technology Projects of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference32 articles.

1. Neuro-fuzzy system to predict permeability and porosity from well log data: a case study of Hassi R׳Mel gas field, Algeria;Aïfa;J. Petrol. Sci. Eng.,2014

2. Acoustic impedance inversion by feedback artificial neural network;Baddari;J. Petrol. Sci. Eng.,2009

3. Seismoelectric wave propagation modeling in a borehole in water-saturated porous medium having an electrochemical interface;Ding;Chin. Phys. B,2017

4. Tomographic velocity images by radial basis function artificial neural network;Djarfour,2011

5. Field test of acoustoelectric logging signals and preliminary analysis;Duan;Pet. Sci. Bull.,2017

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