2020
DOI: 10.1016/j.petrol.2019.106593
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NMR derived capillary pressure and relative permeability curves as an aid in rock typing of carbonate reservoirs

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Cited by 28 publications
(10 citation statements)
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“…The gas–water permeability curves in the study area were divided into three categories. The relative permeability curve corresponds to the permeability of the reservoir in an actual reservoir. The tight sandstone reservoirs in the study area have poor seepage capacity, and no reservoirs with slow decay, long stable production periods, and late water breakthroughs in gas wells have been found. It can be seen from the division results of the gas–water phase permeability curves that the distribution of various types of curves is relatively concentrated, indicating that the division results are more reasonable.…”
Section: Experimental Resultsmentioning
confidence: 99%
“…The gas–water permeability curves in the study area were divided into three categories. The relative permeability curve corresponds to the permeability of the reservoir in an actual reservoir. The tight sandstone reservoirs in the study area have poor seepage capacity, and no reservoirs with slow decay, long stable production periods, and late water breakthroughs in gas wells have been found. It can be seen from the division results of the gas–water phase permeability curves that the distribution of various types of curves is relatively concentrated, indicating that the division results are more reasonable.…”
Section: Experimental Resultsmentioning
confidence: 99%
“…Based on the previous methods [13][14][15][16], with the iterative least-square method, the conversion coefficient corresponding to the minimum area difference and the maximum correlation coefficient was iteratively and automatically searched to calculate the pseudo-capillary pressure curve in the study. Based on the absolute error between the pseudo-capillary pressure curve and the core capillary pressure curve, the inversion method of the pseudo-capillary pressure curve was optimized.…”
Section: Introductionmentioning
confidence: 99%
“…26 On the basis of the capillary pressure curves and relative permeability curves converted from the NMR T 2 distribution combined with conventional core analysis data, the reservoir type was determined using the flow zone index method. 27 The paper presents a method for automatic classification of tight sandstone reservoirs based on the NMR T 2 distribution. The NMR T 2 distribution acquired from tight sandstone samples taken from the Shaximiao Formation in the Sichuan Basin is employed in the study.…”
Section: Introductionmentioning
confidence: 99%
“…The criteria were established for classification of tight sandstone reservoirs based on the NMR T 2 distribution . On the basis of the capillary pressure curves and relative permeability curves converted from the NMR T 2 distribution combined with conventional core analysis data, the reservoir type was determined using the flow zone index method …”
Section: Introductionmentioning
confidence: 99%