Improved recognition of rock formation on the basis of well logging and laboratory experiments results using factor analysis

Author:

Puskarczyk EdytaORCID,Jarzyna Jadwiga A.,Wawrzyniak-Guz Kamila,Krakowska Paulina I.,Zych Marcin

Publisher

Springer Science and Business Media LLC

Subject

Geophysics

Reference14 articles.

1. Asfahani J, Aissa M, Al-Hent R (2005) Statistical factor analysis of aerial spectrometric data, Al-Awabed area, Syria: a useful guide for phosphate and uranium exploration. Appl Radiat Isotopes 62:649–661. https://doi.org/10.1016/j.apradiso.2004.08.050

2. Bała M, Cichy A (2007) Comparison of P- and S-waves velocities estimated from Biot Gassmann and Kuster-Toksöz models with results obtained from acoustic wavetrains interpretation. Acta Geophys 55(2):222–230. https://doi.org/10.2478/s11600-007-0006-6

3. Costello AB, Osborne J (2005) Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis. Practical Assessment Research & Evaluation, 10 (7). Available online: http://pareonline.net/getvn.asp?v=10&n=7 , pp 9

4. Hair JF Jr, Black WC, Babin BJ, Anderson RE, Tatham RL (2006) Multivariate data analysis. Pearson Prentice Hall, New Jersey

5. Jarzyna J, Wawrzyniak-Guz K (eds) (2017) Adaptation to the Polish conditions of the methodologies of the sweet spots determination on the basis of correlation of well logging with drilled core samples: methodology to determine sweet spots based on geochemical, petrophysical and geomechanical properties in connection with correlation of laboratory test with well logs and generation model 3D. Monography, 500 pp., GOLDRUK Wojciech Golachowski Printing House (in Polish)

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