[1] 吴晓智,柳庄小雪,王建,等. 我国油气资源潜力、分布及重点勘探领域[J]. 地学前缘,2022,29(6):146-155.

Wu Xiaozhi, Xiaoxue Liuzhuang, Wang Jian, et al. Petroleum resource potential, distribution and key exploration fields in China[J]. Earth Science Frontiers, 2022, 29(6): 146-155.
[2] Dai J X, Ni Y Y, Wu X Q. Tight gas in China and its significance in exploration and exploitation[J]. Petroleum Exploration and Development, 2012, 39(3): 277-284.
[3] Rezaee R, Saeedi A, Clennell B. Tight gas sands permeability estimation from mercury injection capillary pressure and nuclear magnetic resonance data[J]. Journal of Petroleum Science and Engineering, 2012, 88-89: 92-99.
[4] Yan W C, Sun J M, Dong H M, et al. Investigating NMR-based absolute and relative permeability models of sandstone using digital rock techniques[J]. Journal of Petroleum Science and Engineering, 2021, 207: 109105.
[5] Wang F Y, Wang L. Pore structure analysis and permeability prediction of shale oil reservoirs with HPMI and NMR: A case study of the Permian Lucaogou Formation in the Jimsar Sag, Junggar Basin, NW China[J]. Journal of Petroleum Science and Engineering, 2022, 214: 110503.
[6] Yin X D, Jiang S, Chen S Jet al. Impact of rock type on the pore structures and physical properties within a tight sandstone reservoir in the Ordos Basin, NW China [J]. Petroleum Science, 2020, 17(4): 896-911.
[7] Timur A. An investigation of permeability, porosity, & residual water saturation relationships for sandstone reservoirs[J]. The Log Analyst, 1968, 9(4): 8.
[8] Hassall J K, Ferraris P, Al-Raisi M, et al. Comparison of permeability predictors from NMR, formation image and other logs in a carbonate reservoir[C]//Proceedings of the Abu Dhabi international conference and exhibition. Abu Dhabi: SPE, 2004: 1-13.
[9] Peng L, Zhang C, Ma H L, et al. Estimating irreducible water saturation and permeability of sandstones from nuclear magnetic resonance measurements by fractal analysis[J]. Marine and Petroleum Geology, 2019, 110: 565-574.
[10] Purcell W R. Capillary pressures - their measurement using mercury and the calculation of permeability therefrom[J]. Journal of Petroleum Technology, 1949, 1(2): 39-48.
[11] Kolodzie S. Analysis of pore throat size and use of the Waxman-Smits equation to determine ooip in spindle field, Colorado[C]//Proceedings of the SPE annual technical conference and exhibition. Dallas: SPE, 1980: 21-24.
[12] Pittman E D. Relationship of porosity and permeability to various parameters derived from mercury injection-capillary pressure curves for sandstone[J]. AAPG Bulletin, 1992, 76(2): 191-198.
[13] Rezaee M R, Jafari A, Kazemzadeh E. Relationships between permeability, porosity and pore throat size in carbonate rocks using regression analysis and neural networks[J]. Journal of Geophysics and Engineering, 2006, 3(4): 370-376.
[14] Swanson B F. A simple correlation between permeabilities and mercury capillary pressures[J]. Journal of Petroleum Technology, 1981, 33(12): 2498-2504.
[15] Coates G R, Marschall D, Mardon D, et al. A new characterization of bulk-volume irreducible using magnetic resonance[J]. The Log Analyst, 1997, 39(1): 51-63.
[16] Kenyon W E, Day P I, Straley C, et al. A three-part study of NMR longitudinal relaxation properties of water-saturated sandstones[J]. SPE Formation Evaluation, 1988, 3(3): 622-636.
[17] Chang D H, Vinegar H J, Morriss C, et al. Effective porosity, producible fluid, and permeability in carbonates from NMR logging[J]. The Log Analyst, 1997, 38(2): 60-72.
[18] Wu F, Li Y, Burnham B, et al. Fractal-based NMR permeability estimation in tight sandstone: A case study of the Jurassic rocks in the Sichuan Basin, China[J]. Journal of Petroleum Science and Engineering, 2022, 218: 110940.
[19] Song Z Z, Zhao J Y, Zhang Y Y, et al. Bi-fractal characterization of the pore network of tight sandstone[J]. Frontiers in Earth Science, 2021, 9: 751944.
[20] Mandelbrot B B. The fractal geometry of nature[M]. New York: Freeman, 1982: 1-532.
[21] Song Z Z, Liu G D, Yang W W, et al. Multi-fractal distribution analysis for pore structure characterization of tight sandstone: A case study of the Upper Paleozoic tight formations in the Longdong district, Ordos Basin[J]. Marine and Petroleum Geology, 2018, 92: 842-854.
[22] Pape H, Clauser C, Iffland J. Permeability prediction based on fractal pore-space geometry[J]. Geophysics, 1999, 64(5): 1447-1460.
[23] 曾联波,刘国平,朱如凯,等. 库车前陆盆地深层致密砂岩储层构造成岩强度的定量评价方法[J]. 石油学报,2020,41(12):1601-1609.

Zeng Lianbo, Liu Guoping, Zhu Rukai, et al. A quantitative evaluation method of structural diagenetic strength of deep tight sandstone reservoirs in Kuqa Foreland Basin[J]. Acta Petrolei Sinica, 2020, 41(12): 1601-1609.
[24] Su M M, Han D L, Zhang R H, et al. Tectonic factors restricting differences among layers in microstructure of ultradeep clastic rock reservoir: A case study on Cretaceous Bashijiqike Formation in Kuqa Depression[J]. Lithosphere, 2023, 2023(Suppl.13): 7638953.
[25] Zhang S C, Zhang B, Zhu G Y, et al. Geochemical evidence for coal-derived hydrocarbons and their charge history in the Dabei gas field, Kuqa thrust belt, Tarim Basin, NW China[J]. Marine and Petroleum Geology, 2011, 28(7): 1364-1375.
[26] 徐珂,张辉,鞠玮,等. 库车坳陷博孜X区块超深储层有效裂缝分布规律及对天然气产能的影响[J]. 地球科学, 2023,48(7): 2489-2505.

Xu Ke, Zhang Hui, Ju Wei, et al. Effective fracture distribution and its influence on natural gas productivity of ultra-deep reservoir in Bozi-X block of Kuqa Depression[J]. Earth Science, 2023,48(7): 2489-2505.
[27] Lai J, Wang G W, Cao J T, et al. Investigation of pore structure and petrophysical property in tight sandstones[J]. Marine and Petroleum Geology, 2018, 91: 179-189.
[28] Shen Y Q, Lü X X, Guo S, et al. Effective evaluation of gas migration in deep and ultra-deep tight sandstone reservoirs of Keshen structural belt, Kuqa Depression[J]. Journal of Natural Gas Science and Engineering, 2017, 46: 119-131.
[29] Coates G R, Xiao L Z, Prammer M G. NMR logging: Principles and applications[M]. Houston: Haliburton Energy Services Publication, 1999: 1-234.
[30] Hou X W, Zhu Y M, Chen S B, et al. Investigation on pore structure and multifractal of tight sandstone reservoirs in coal bearing strata using LF-NMR measurements[J]. Journal of Petroleum Science and Engineering, 2020, 187: 106757.
[31] Lai J, Wang G W. Fractal analysis of tight gas sandstones using high-pressure mercury intrusion techniques[J]. Journal of Natural Gas Science and Engineering, 2015, 24: 185-196.
[32] Li C Z, Liu X B, You F L, et al. Pore size distribution characterization by joint interpretation of MICP and NMR: A case study of Chang 7 tight sandstone in the Ordos Basin[J]. Processes, 2022, 10(10): 1941.
[33] Zhang K X, Lai J, Bai G P, et al. Comparison of fractal models using NMR and CT analysis in low permeability sandstones[J]. Marine and Petroleum Geology, 2020, 112: 104069.
[34] Zhang J J, Hu Y B. Comparative evaluation of pore structure heterogeneity in low-permeability tight sandstones using different fractal models based on NMR technology: A case study of Benxi Formation in the central Ordos Basin[J]. Energy & Fuels, 2020, 34(11): 13924-13942.
[35] Zhou T Q, Wu C D, Shi Z K, et al. Multi-scale quantitative characterization of pore distribution networks in tight sandstone by integrating FE-SEM, HPMI, and NMR with the constrained least squares algorithm[J]. Energies, 2019, 12(18): 3514.
[36] Zang Q B, Liu C L, Awan R S, et al. Occurrence characteristics of the movable fluid in heterogeneous sandstone reservoir based on fractal analysis of NMR data: A case study of the Chang 7 member of Ansai block, Ordos Basin, China[J]. Journal of Petroleum Science and Engineering, 2022, 214: 110499.