Accurate Estimation of Petrophysical Indexes by RBF, ANFIS, and MLP Networks

M. BaneshiNational Iranian Oil Company (NIOC), Tehran, Iran;Energy and Environmental Engineering Research Centre (EERC), Shahid Bahonar University of Kerman, Kerman, IranCorrespondence[email protected]

M. SchaffieEnergy and Environmental Engineering Research Centre (EERC), Shahid Bahonar University of Kerman, Kerman, Iran

H. Nezamabadi-pourEnergy and Environmental Engineering Research Centre (EERC), Shahid Bahonar University of Kerman, Kerman, Iran

M. BehzadijoEnergy and Environmental Engineering Research Centre (EERC), Shahid Bahonar University of Kerman, Kerman, Iran

M. RostamiEnergy and Environmental Engineering Research Centre (EERC), Shahid Bahonar University of Kerman, Kerman, Iran

REFERENCES

Asquith, G., and Krygowski, D. 2004. Basic Well Log Analysis. Tulsa, OK: American Association of Petroleum Geologists.
Google Scholar
Baneshi, M. 2014. Determination of lithofacies using an optimized neural network and well log data. Pet. Sci. Technol. 32:897–903.
Web of Science ®Google Scholar
Baneshi, M., Schaffie, M., Nezamabadi-pour, H., and Behzadijo, M. 2010. Reservoir petrophysical index prediction using neural network with selection suitable feature. National Conference of Energy and Environment, Kerman, Iran, October 10–13.
Google Scholar
Baneshi, M., Schaffie, M., Nezamabadi-pour, H., and Behzadijo, M. 2013. Predicting log data by using artificial neural networks to approximate petrophysical parameters of formation. LPET-2010-0580.R4. Pet. Sci. Technol. 31:1238–1248.
Google Scholar
McCulloch, W., and Pitts, W. 1943. A logical calculus of the ideas immanent in nervous activity. Bulletin of Mathematical Biophysics 5:115–133.
Google Scholar
Shahin, M. A., Maier, H. R., and Jaksa, M. B. 2002. Predicting settlement of shallow foundations using neural networks. J. Geotech. Geoenviron. Eng. 128:785–793.
Web of Science ®Google Scholar

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Accurate Estimation of Petrophysical Indexes by RBF, ANFIS, and MLP Networks

REFERENCES

Information for

Open access

Opportunities

Help and information

Your download is now in progress and you may close this window

Login or register to access this feature

Accurate Estimation of Petrophysical Indexes by RBF, ANFIS, and MLP Networks

REFERENCES

Reprints and Corporate Permissions

Academic Permissions

Related research

To cite this article:

Download citation

Information for

Open access

Opportunities

Help and information

Keep up to date