| Qingdao Institute of marine geology, China Geological Survey | Host |
| Citation: |
WANG Zheng. CLASSIFICATION OF THE RESERVOIR WITH MEDIUM TO LOW POROSITY AND PERMEABILITY BASED ON FRACTAL CHARACTERISTICS[J]. Marine Geology Frontiers, 2021, 37(11): 78-84. doi: 10.16028/j.1009-2722.2021.151
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CLASSIFICATION OF THE RESERVOIR WITH MEDIUM TO LOW POROSITY AND PERMEABILITY BASED ON FRACTAL CHARACTERISTICS
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Abstract
The pore structure has an important influence on oil and gas seepage and productivity, and is also important for classification of low porosity and permeability reservoirs. In terms of micro scale, thin section observation and laboratory testing are used to describe the reservoir. In terms of macro scale, there is lack of an effective quantitative characterization method. In this paper, fractal theory is introduced into the evaluation of pore structure, and the relationship between porosity, permeability, displacement pressure, median radius of pore throat and fractal dimension is obtained with the established relationship between mercury injection data and fractal model. The results show that fractal dimension has a good correlation with reservoir physical properties and pore structure. It is feasible to use fractal dimension as a macro scale parameter to quantitatively characterize the complexity of pore space. At the same time, it may provide reliable quantitative characterization parameters for the classification of the reservoirs with medium to low porosity and permeability, and make a better decision-making basis for oilfield development and production.
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References
[1] WONG P Z,HOWARD J. Surface roughening and the fractal nature of rocks[J]. Physical Review Letters,1986,57:637-640. doi: 10.1103/PhysRevLett.57.637 [2] 纪法华,张一伟. 分形几何学在储层非均质性描述中的应用[J]. 石油大学学报,1994,18(5):161-168. [3] 贾淑芬,沈平平,李克文. 砂岩孔隙结构的分形特征及应用研究[J]. 断块油气田,1995,2(1):16-21. [4] KROHN C E. Sandstone fractal sandtone pore: automated measurements using scanning electron microscope images[J]. Physical Review Sect, B: 33. [5] MANDELBROT B B. The Fractal Geometry of Nature[M]. San Francisco: Freeman, 1982 [6] KATA A J,THOMPSON A H. Fractal sandstone pore:implications for conductivity and por formation[J]. Physical Review Letters,1985,54(12):1325-1328. doi: 10.1103/PhysRevLett.54.1325 [7] 窦文超,刘洛夫,吴康军等. 基于压汞实验研究低渗储层孔隙结构及其对渗透率的影响:以鄂尔多斯盆地西南部三叠系延长组长7储层为例[J]. 地质论评,2016,62(2):502-511. [8] 杨玉卿,潘福熙,田洪,等. 渤中25-1油田沙河街组低孔低渗储层特征及分类评价[J]. 现代地质,2010,24(4):685-693. doi: 10.3969/j.issn.1000-8527.2010.04.006 [9] 姜艳娇,孙建孟,高建申,等. X区块低孔渗气藏储层特征及分类评价研究[J]. 科学技术与工程,2017,17(10):164-172. doi: 10.3969/j.issn.1671-1815.2017.10.028 [10] 马立民,林承焰,范梦玮. 基于微观孔隙结构分形特征的定量储层分类与评价[J]. 石油天然气学报,2012,34(5):15-19. doi: 10.3969/j.issn.1000-9752.2012.05.003 [11] 徐守余,王淑萍. 砂岩储层微观结构分形特征研究:以胜索油田古近系沙河街组储层为例[J]. 天然气地球科学,2013,10(24):886-893. [12] 腾藤,金江宁,屈元基. 基于孔隙分形特征的神木气田山西组成岩相定量分类[J]. 断块油气田,2018,25(4):431-434. [13] 刘航宇,田中元,徐振永. 基于分形特征的碳酸盐岩储层孔隙结构定量评价[J]. 岩性油气藏,2017,29(5):97-105. doi: 10.3969/j.issn.1673-8926.2017.05.011 [14] 王志伟,卢双舫,王民,等. 湖相、海相泥页岩孔隙分形特征对比[J]. 岩性油气藏,2016,28(1):88-93. doi: 10.3969/j.issn.1673-8926.2016.01.011 [15] 张宪国,张涛,林承焰. 基于孔隙分形特征的低渗透储层孔隙结构评价[J]. 岩性油气藏,2013,25(6):40-45. doi: 10.3969/j.issn.1673-8926.2013.06.008 [16] 赵明,郁伯铭. 数字岩芯孔隙结构的分形表征及渗透率预测[J]. 重庆大学学报,2011,34(4):88-94. doi: 10.11835/j.issn.1000-582X.2011.04.017 [17] 张立强,纪友亮,马文杰,等. 博格达山前带砂岩孔隙结构分 形几何学特征与储层评价[J]. 石油大学学报(自然科学版),1998,22(5):31-33. -
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WANG Zheng. CLASSIFICATION OF THE RESERVOIR WITH MEDIUM TO LOW POROSITY AND PERMEABILITY BASED ON FRACTAL CHARACTERISTICS[J]. Marine Geology Frontiers, 2021, 37(11): 78-84. doi: 10.16028/j.1009-2722.2021.151
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Figure 1.
Determination of box fractal dimension
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Figure 2.
Retreat mercury pressure curve for part of rock sample
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Figure 3.
Microscopic characteristics of a reservoir
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Figure 4.
Relationship between capillary pressure and water saturation
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Figure 5.
Core sample R2010-04754