Variable Dimension Fractal-Based Conversion Method between the Nuclear Magnetic Resonance T2 Spectrum and Capillary Pressure Curve

2020 ◽  
Vol 35 (1) ◽  
pp. 351-357
Author(s):  
Weibiao Xie ◽  
Qiuli Yin ◽  
Guiwen Wang ◽  
Zhiyong Yu
2019 ◽  
Vol 2 (2) ◽  

The quality of a reservoir can be described in details by the application of transverse relaxation time of nuclear magnetic resonance fractal dimension. The objective of this research is to calculate fractal dimension from the relationship among transverse relaxation time of nuclear magnetic resonance, maximum transverse relaxation time of nuclear magnetic resonance and wetting phase saturation and to confirm it by the fractal dimension derived from the relationship among capillary pressure and wetting phase saturation. In this research, porosity was measured on real collected sandstone samples and permeability was calculated theoretically from capillary pressure profile measured by mercury intrusion techniques. Two equations for calculating the fractal dimensions have been employed. The first one describes the functional relationship between wetting phase saturation, transverse relaxation time of nuclear magnetic resonance, maximum transverse relaxation time of nuclear magnetic resonance and fractal dimension. The second equation implies to the wetting phase saturation as a function of capillary pressure and the fractal dimension. Two procedures for obtaining the fractal dimension have been developed. The first procedure was done by plotting the logarithm of the ratio between transverse relaxation time of nuclear magnetic resonance and maximum transverse relaxation time of nuclear magnetic resonance versus logarithm wetting phase saturation. The slope of the first procedure = 3-Df (fractal dimension). The second procedure for obtaining the fractal dimension was completed by plotting logarithm of capillary pressure versus the logarithm of wetting phase saturation. The slope of the second procedure = Df -3. The results show similarities between transverse relaxation time of nuclear magnetic resonance and capillary pressure fractal dimension.


2013 ◽  
Author(s):  
Edmilson Helton Rios ◽  
Paulo Roberto Alves Netto ◽  
Irineu Figueiredo ◽  
Vinicius de França Machado ◽  
Bernardo Coutinho Camilo dos Santos ◽  
...  

1999 ◽  
Vol 39 (1) ◽  
pp. 437
Author(s):  
P.J. Boult ◽  
R. Ramamoortby ◽  
P.N. Theologou ◽  
R.D. East ◽  
A.M. Drake ◽  
...  

The failure of conventional log interpretation of low resistivity gas-bearing reservoirs in the Lower Cretaceous Pretty Hill Sandstone, onshore Otway Basin, has led to the use of the saturation versus height, Leverett J function as a basis for predicting hydrocarbon saturation.The recent application of a new method of proprietary core analysis (corEVAL™*) in the 1998 gas discovery well Redman–1, allowed the derivation of a more realistic Leverett J function to water saturation transform for the Pretty Hill Sandstone. Furthermore, this transform could be applied beyond the cored interval to the remaining reservoir section by calibrating the core with its nuclear magnetic resonance response. An algorithm, which converts Schlumberger's combinable magnetic resonance (CMR*) cumulative T2 distributions into a pseudo- capillary pressure curve, has been derived enabling the calculation of gas saturation directly from this log. The CMR derived permeability log also assisted in facies differentiation of the reservoir section and in the selection of wireline pressure and formation fluid sampling points.The combined application of nuclear magnetic resonance technology and proprietary core analysis, independently validated by formation sample and test data, resulted in a 30% increase over previous methods, in average gas saturation in the reservoir being calculated. This has lead to a predicted increase in estimated gas in place at the Redman Field


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