1887

Abstract

Summary

In this paper, a neural network called the radial basis function (RBF) method is applied to obtain the MICP curve using NMR T2 distribution. And the MICP curves of 19 tight sandstone core samples are predicted using this method. The results prove it to be a robust method. The advantages of this method include: No explicit model between the input and output is needed, and every input/output data is taken into consideration, which makes the result more accurate; and since the multi-dimension input/output is allowed in this method, the time consumption of calculation is low. In area where there are some core samples, we can use the NMR logging data to predict the MICP curve continuously with depth of well logging through this method.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201900986
2019-06-03
2024-03-29
Loading full text...

Full text loading...

References

  1. Gao, B., WuJ. H., ChenS. H., et al.
    , New method for predicting capillary pressure curves from NMR data in carbonate rocks. In: SPWLA 52nd Annual Logging Symposium, Colorado, USA, 2011.
    [Google Scholar]
  2. FreedmanR.
    , New approach for solving inverse problems encountered in well-logging and geophysical applications. Petrophysics, 2006, 47: 93–111.
    [Google Scholar]
  3. Liu, M., XieR. H., XuH. J., et al.
    , A new method for predicting capillary pressure curves based on NMR logging in tight sandstone reservoirs. Applied Magnetic Resonance, 2018, 49: 1043–1058.
    [Google Scholar]
  4. Trevizan, W., Netto, P., Coutinho, B., et al.
    , Method for predicting permeability of complex carbonate reservoirs using NMR logging measurements. Society of Petrophysicists and Well-Log Analysts, SPWLA-2014-v55n3a4, 2014.
    [Google Scholar]
  5. Vivek, A., FreedmanR.
    , New methods for predicting properties of live oils from NMR. In: SPWLA 50th Annual Logging Symposium, Texas, USA, 2009.
    [Google Scholar]
  6. Volokitin, Y., LooyestijnW. J., SlijkermanW. F. J., et al.
    A practical approach to obtain primary drainage capillary pressure curves from NMR core and log data. Petrophysics, SPWLA-2001-v42n4a3, 2001.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201900986
Loading
/content/papers/10.3997/2214-4609.201900986
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