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随机游走过程的河流相三维建模 被引量:2

Fluvial facies 3D modeling based on random walk
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摘要 在介绍改进的二维随机游走过程基础上,结合已有的Fluvsim算法中的河道剖面形态假设,提出了适用于河流相的随机游走过程三维建模算法。通过用GoogleEarth对现代沉积卫星图片相关参数的测量,结合相关的河道深度的经验参数建立了储层沉积模式数据库,得到了随机游走过程的三维模拟结果,并与实际的构型进行了对比分析,最后对此进行了相关讨论。 On the basis of introducing the modified random walk technology, combined with the superiority river profile shape assumption of Fluvisim algorithm, a 3D modeling based on random walk was proposed to apply to fluvial facies. Through measuring relevant parameters of modern sedimentary satellite pictures by the software GoogleEarth , combining with experience parameters of relevant channel depth, the reservoir sedimentary pattern database was built to obtain simulated results of 3D moldeling based on random walk. In contrast with actual construction, some further disc, ussions are made.
出处 《复杂油气藏》 2011年第3期38-41,共4页 Complex Hydrocarbon Reservoirs
关键词 随机游走过程 储层建模 河流相三维建模 训练图像 random walk reservoir modeling fluvial facies 3 D modeling training image
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  • 1Clayton V, Deutsch, Wang Libing. Hierarchical object - based sto-chastic modeling of fluvial reservoirs [ J ]. Mathematical Geology, 1996,28(7) : 857-880.
  • 2Zhang,T F, Bombarde, S. , Strebclle. S. and Oatncy, E. 3 D porosity modeling of a carbonate reserwfir using continuous multple - point statistics simulation [ J ]. SPE Journal ,2006, SPE 96308:75 - 380.
  • 3Zhang,T F. , McCormick D, Hurley N. & C. Signer. Applying mul- tiple - point genstatistics to reservnir modeling--A practical per- spective [ C ]. Petroleum Genstatistics Cascais, Portugal,2007.
  • 4Zhang T F, Switzer P,Journel A G. Filter- based elassifieation of training image patterns for spatial simulation [ J ]. Mathematical Ge- ology,2006,38 ( 1 ) : 63 - 80.
  • 5Zhang T F. Filter - based training Pattern classification for spatial Pattern simulation [ D]. USA: Stanford University,2006.
  • 6雷钰丽,李阳,王崇骏,刘红星,谢俊元.基于权重的马尔可夫随机游走相似度度量的实体识别方法[J].河北师范大学学报(自然科学版),2010,34(1):26-30. 被引量:7
  • 7王家华 张团峰.油气储层随机建模[M].北京:石油工业出版社,1996.68-74.
  • 8Wang Jiahua, Wang Xiangbo, Ren Changlin. 2D conditional simu- lation of channels on wells using a random walk approach [ J ]. Computers & Geoseiences ,2009,35 ( 3 ) : 429 - 437.
  • 9岳大力,吴胜和,刘建民.曲流河点坝地下储层构型精细解剖方法[J].石油学报,2007,28(4):99-103. 被引量:248
  • 10尹艳树,张昌民,李少华,王军,王延忠,龚蔚青.一种新的曲流河点坝侧积层建模方法[J].石油学报,2011,32(2):315-319. 被引量:36

二级参考文献49

共引文献287

同被引文献36

  • 1尹艳树,吴胜和,张昌民,李少华,尹太举.基于储层骨架的多点地质统计学方法[J].中国科学(D辑),2008,38(S2):157-164. 被引量:33
  • 2尹艳树,吴胜和.储层随机建模研究进展[J].天然气地球科学,2006,17(2):210-216. 被引量:57
  • 3姜香云,王志章,吴胜和.储层三维建模及在油藏描述中的应用研究[J].地球物理学进展,2006,21(3):902-908. 被引量:45
  • 4吴胜和,李宇鹏.储层地质建模的现状与展望[J].海相油气地质,2007,12(3):53-60. 被引量:133
  • 5Haldorsen H H, Lake L W. A new approach to shale management in field-scale models[J]. SPE Journal, 1984, 24(4): 447-457.
  • 6Strebelle S B, Journel A G. Reservoir modeling using multiple-point statistics[C]. SPE Annual Technical Conference and Exhibition, 30 September-3 October 2001, New Orleans, LA, US, 2001: 1-11.
  • 7Hajizadeh A, Safekordi A, Farhadpour F A. A multiple-point statistics algorithm for 3D pore space reconstruction from 2D images[J]. Advances in Water Resources, 2011, 34(10): 1256-1267.
  • 8Yin Y, Zhang C, Yin T, et al. A skeleton-based multiple pointgeostatistics for reservoir stochastic modeling[C]//12th Conference of International Association for Mathematical Geology, Beijing, China, 27 August, 2007: 587-590.
  • 9Liu Y H, Safian A. A study of static modeling factors that are critical to flow simulation[C]. International Petroleum Technology Conference, 3-5 December 2008, Kuala Lumpur, Malaysia, 2008.
  • 10Okabe H, Blunt M J. Pore space reconstruction of vuggy carbonates using microtomography and multiple-point statistics[J]. Water ResourceResearch, 2007, 43: W12S02, doi: 10.1029/2006WR005680.

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