Porosity Estimation from High Resolution CT SCAN Images of Rock Samples by Using Housfield Unit
- 1 Analysis Laboratory Center-Vietnam Petroleum Institute, Ho Chi Minh City, Vietnam
- 2 Analysis Laboratory Center-Vietnam Petroleum Institute, Ho Chi Minh City, Vietnam
- 3 Analysis Laboratory Center-Vietnam Petroleum Institute, Ho Chi Minh City, Vietnam
- 4 Analysis Laboratory Center-Vietnam Petroleum Institute, Ho Chi Minh City, Vietnam
- 5 Analysis Laboratory Center-Vietnam Petroleum Institute, Ho Chi Minh City, Vietnam
- 6 Analysis Laboratory Center-Vietnam Petroleum Institute, Ho Chi Minh City, Vietnam
Abstract
Computer Automated Tomography has been shown to be a valuable tool in production research because it provides a non-destructive method to identify and evaluate the internal structural characteristics of reservoir rock. In CT scan, Hounsfield Unit (HU) is proportional to the degree of X-ray attenuation by the tissue. The aim of the present study was to introduce the method to estimate porosity which is one of physical parameters of reservoir rock though HU data. In this study, an Image J software was used to extract Hounsfield Unit data and calibrate by standard material’s density. This method provides the ability of using CT Scanner in advanced reservoir characterization and flow test experiments.
- Nielsen, B.D. (2004) Non-Destructive Soil Testing Using X-Ray Computed Tomography. Thesis of Master in Science in Civil Engineering, Montana State University, Bozeman, MT.
- Gonzalez, R.C. and Woods, R.E. (2007) Digital Image Processing. 3rd Edition, Pearson, London.
- Crane, R. (1997) A Simplified Approach to Image Processing. Prentice-Hall, Inc., Upper Saddle River, NJ.
- Russ, J.C. (1995) The Image Procesing Handbook. CRC Press, Inc., Boca Raton, FL.
- Jain, A.K. (1989) Fundamental of Digital Image Processing. Prentice Hall, Engwood Cliffs.
- Shrivakshan, G.T. and Chandrasekar, C. (2012) A Comparison of Various Edge Detection Techniques Used in Image Processing. Bharathiar University, Coimbatore, India.
- Paker, J.R. (1997) Algorithms for Image Processing and Computer Vision. John Wiley & Sons, Inc., Hoboken, NJ.
- Low, A. (1991) Introductory Computer Vision and Image Processing. McGraw Hill Book Company (UK) Limited, New York, NY.
- Pavlidis, T. (1982) Algorithms for Graphics and Image Processing. Computer Science Press, New York, NY. https://doi.org/10.1007/978-3-642-93208-3
- Rourine Core Analysis Report, VPILabs, 2010-2012.