A Review of Prediction Methods for Permeability in Clastic Reservoirs

Authors

  • Yu Fu
  • Mingzhou Zhang

DOI:

https://doi.org/10.54097/ajst.v6i2.9705

Keywords:

Clastic reservoirs, Permeability, Numerical simulation, Experimental testing, Analytical method.

Abstract

Accurate prediction of permeability in clastic reservoirs is of great significance for oil and gas exploration and development. This paper provides a comprehensive review of prediction methods for permeability in clastic reservoirs, including analytical methods, experimental testing, and numerical simulation. By comparing the three methods, it is found that the analytical method has the advantage of a theoretical basis and fast calculation speed, but the simplifying assumptions regarding reservoir structure may lead to inaccurate results. The experimental testing method directly measures the flow performance of rocks, but it is constrained by sample acquisition and experimental conditions. The numerical simulation method considers various influencing factors and simulates real reservoir conditions but requires extensive calculations and accurate parameter inputs. Future research can further develop the analytical method and numerical simulation method to improve prediction accuracy by incorporating actual data from experimental testing, leading to a more comprehensive and accurate prediction of permeability in clastic reservoirs.

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References

Cao Haitao Research on the Morphological Characteristics and Seepage Characteristics of Fractal Surface Based on Fractal Theory [D] Chengdu University of Technology, 2016.

Jiaohongyan Research and Application of a Model for Predicting the Attenuation of Long Crack Conductivity [D] China University of Petroleum (East China), 2017.

Dou Xiangji, Liao Xinwei, Zhao Xiaoliang, et al A new method for determining the dynamic conductivity of fracturing wells in Tight gas reservoirs [J] Block oil and gas field, 2015, 22 (05): 647-650.

Yang Yingtao, Wen Qingzhi, Duan Xiaofei, et al Numerical simulation study on fracture conductivity of channel fracturing [J] Petroleum Drilling Technology, 2016, 44 (06): 104-110.

Su Yubin, Lin Guanyu, Han Yue Hydraulic sand support fracture conductivity of tight sandstone reservoirs [J] Daqing Petroleum Geology and Development, 2017, 36 (06): 140-145.

Kou Shuangfeng, Chen Shaoning, He Le, et al Adaptability of quartz sand in fracturing of tight sandstone gas reservoirs in Sulige [J]. Reservoir Evaluation and Development, 2019, 9 (02): 65-70.

Zhu Haiyan, Shen Jiadong, Zhou Hanguo Numerical simulation of supporting crack conductivity [J] Journal of Petroleum, 2018, 39 (12): 1410-1420.

Lacy, L. L, Rickards, A.R., Syed, A.A., 1997 Embedment and frame conductivity in soft formation associated with HEC, borate and water based frame designs In: Paper Present at the SPE Annual Technical Conference and Exhibition, San Antonio, Texas, 5-8 October SPE-38590-MS

Lacy, L.L., Rickards, A.R., Bilden, D.M., 1998 Frame width and embedment testing in soft reserve sandstone SPE Drill Complete 13 (1), 25-29 SPE-36421-PA

Lu Cong, Guo Jianchun, Wang Wenyao, et al Experimental Study on Proppant Insertion and Damage to Fracture Conductivity [J] Natural Gas Industry, 2008 (02): 99-101, 172.

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Published

29-06-2023

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Section

Articles

How to Cite

A Review of Prediction Methods for Permeability in Clastic Reservoirs. (2023). Academic Journal of Science and Technology, 6(2), 104-107. https://doi.org/10.54097/ajst.v6i2.9705

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