
Calculating T2 cutoff value using a fitting method of Gaussian function and reservoir classification
Wen JI, ZhiDi LIU, Wei XIANG, ZeXu LIU, DanNi WEI, Ping ZHOU, Duo WANG, Long CHEN
Prog Geophy ›› 2025, Vol. 40 ›› Issue (2) : 681-690.
Calculating T2 cutoff value using a fitting method of Gaussian function and reservoir classification
The accuracy of T2 cutoff directly affects the accuracy of nuclear magnetic resonance calculation of bound fluid saturation, movable fluid porosity, and permeability. The pore structure of deep dense sandstone reservoirs is complex, characterized by low porosity, low permeability, and strong heterogeneity. The applicability of fixed T2 cutoff values is poor. To improve the calculation accuracy of T2 cutoff value in deep tight sandstone reservoirs, this study relied on nuclear magnetic resonance experimental measurements of deep tight sandstone samples and constructed a T2 cutoff value calculation model that integrates Gaussian function and reservoir classification multi parameter fitting method. Program this model to achieve point by point calculation of T2 cutoff values for deep tight sandstone reservoirs in offshore X zone. The research results indicate that when the bound water saturation is less than 41%, the Gaussian function method has higher accuracy in calculating the T2 cutoff value, but when the bound water saturation is greater than 41%, the Gaussian function method is no longer applicable; For class Ⅱ and Ⅲ reservoirs (with bound water saturation greater than 41%), the T2 cut-off value multi parameter fitting calculation model constructed using optimized sensitivity parameters has high accuracy; The T2 cutoff values calculated by the fusion of Gaussian function and reservoir classification multi parameter fitting method are highly consistent with those determined by rock sample experiments, fully meeting the needs of nuclear magnetic resonance logging to evaluate pore structure in deep tight sandstone reservoirs.
NMR logging / T2 cut-off value / High bound water saturation / Gaussian function / Multi parameter fitting
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