一种基于目标的非贯穿型河道建模方法
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摘要
基于目标的随机建模方法能够较好地刻画地质体展布规模和几何形态,在河流相储层建模中得到了广泛应用。在商业化建模软件中,基于目标的河流相建模方法默认是贯穿整个研究区的。在N气田存在某一物源方向的河道在研究区内部终止的情况,此前为了对此类河道建模,常采用一些约束方法,但经过多种尝试,效果并不理想。因此,提出了一种基于目标的河道在研究区内终止的建模方法。具体的做法是:根据地质认识确定的河道分布范围,对于非贯穿型河道在研究区内设置相应的终止边界;对河流相储层建模方法 Fluvsim进行改写,令河道延伸到边界时终止,并且厚度逐渐减薄;对于贯穿型河道,则不做改变。实例研究表明,该方法较好解决了同时存在贯穿型和非贯穿型河道的建模问题。
The object-based stochastic modeling method has been widely used in fluvial reservoir modeling as it can describe the scale of distribution of geological bodies and anisotropy clearly.In the commercial modeling software,like Petrel software that the default method of object-based modeling is for channels across through the whole research area.But under some specific situation that channels run end inside the research area and there is no effective method to achieve the correct channel modeling currently.To solve the problem,this paper proposed a new method.Firstly,the corresponding termination boundary should be set inside the research area according to the channel scale which being confirmed by the geological analysis.Secondly,the improvement should be made on the original Fluvial reservoir modeling algorithm Fluvsim to show the channel which ends at the termination boundary and also the thickness of channel goes less gradually.Thirdly,no change is made for the channel which has no boundary internally.Example research shows that the mentioned method solved the modeling problem under the condition that there are two different kinds of channels and one ends inside and the other goes through the interesting area.
The object-based stochastic modeling method has been widely used in fluvial reservoir modeling as it can describe the scale of distribution of geological bodies and anisotropy clearly.In the commercial modeling software,like Petrel software that the default method of object-based modeling is for channels across through the whole research area.But under some specific situation that channels run end inside the research area and there is no effective method to achieve the correct channel modeling currently.To solve the problem,this paper proposed a new method.Firstly,the corresponding termination boundary should be set inside the research area according to the channel scale which being confirmed by the geological analysis.Secondly,the improvement should be made on the original Fluvial reservoir modeling algorithm Fluvsim to show the channel which ends at the termination boundary and also the thickness of channel goes less gradually.Thirdly,no change is made for the channel which has no boundary internally.Example research shows that the mentioned method solved the modeling problem under the condition that there are two different kinds of channels and one ends inside and the other goes through the interesting area.
引文
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[13]Li Qiang.Quantitative Evaluation of the Factors Controlling the Sand Body Connected Volumes[D].Jingzhou:Yangtze U-niversity,2012.李强.影响砂体连通体积因素的定量评价[D].荆州:长江大学,2012.
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[2]Qiao Yupeng,Qiu Longwei,Shao Xianjie,et al.Research progress in the characterization of braided river reservoirs[J].Petroleum Geology and Recovery Efficiency,2017,24(6):34-42.乔雨朋,邱隆伟,邵先杰,等.辫状河储层构型表征研究进展[J].油气地质与采收率,2017,24(6):34-42.
[3]Wei Xuerui.Study on Reservoir Facies Controlled Geological Modeling[D].Beijing:China University of Geosciences,2010.韦学锐.河流储层相控地质建模研究[D].北京:中国地质大学,2010.
[4]Lin Chengyan,Chen Shizhen,Zhang Xianguo,et al.The probabilistic constraint method of multi-trend fusion and its application in reservoir modeling[J].Acta Petrolei Sinica,2015,36(6):730-739.林承焰,陈仕臻,张宪国,等.多趋势融合的概率体约束方法及其在储层建模中的应用[J].石油学报,2015,36(6):730-739.
[5]Yu Siyu,Li Shaohua,He Youbin,et al.A multi-point geological statistical modeling algorithm based on style reduction and clustering[J].Acta Petrolei Sinica,2016,37(11):1403-1409.喻思羽,李少华,何幼斌,等.基于样式降维聚类的多点地质统计建模算法[J].石油学报,2016,37(11):1403-1409.
[6]Arpat G B.Sequential Simulation with Patterns[D].Los Angeles:Stanford University,2005.
[7]Deutsch C V,Journel A G.GSLIB:Geostatistical Software Library and User's Duide[M].New York:Oxford University Press,1996.
[8]Zhang T F.Filter-based Training Pattern Classification For Spatial Pattern Simulation[D].Los Angeles:Stanford University,2006.
[9]Deutsch C V,Tran T T.Fluvsim:A program for object-based stochastic modeling of fluvial depositional systems[J].Computers and Geosciences,2002,28(4):525-535.
[10]Yin Yanshu,Wu Shenghe,Zhang Changmin,et al.Multipoint geostatistical method based on reservoir skeleton[J].Science in China:Series D,2008,38(supplement 2):157-164.尹艳树,吴胜和,张昌民,等.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(增刊2):157-164.
[11]Yin Yanshu,Zhang Changmin,Li Shaohua,et al.A new method for modeling the cross-boundary layer of meandering river[J].Acta Petrolei Sinica,2011,32(2):315-319.尹艳树,张昌民,李少华,等.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.
[12]Lu Zhiyi,Yue Dali,Chen Na.The application of stochastic simulation method based on target in reservoir configuration modeling of estuarine dam[C]//National Conference on Sedimentation of 2015Abstracts of Unconventional Resourcesand Sedimentology,2015:2.陆智祎,岳大力,陈娜.基于目标的随机模拟方法在河口坝型储层构型建模中的应用[C]//2015年全国沉积学大会沉积学与非常规资源论文摘要集,2015:2.
[13]Li Qiang.Quantitative Evaluation of the Factors Controlling the Sand Body Connected Volumes[D].Jingzhou:Yangtze U-niversity,2012.李强.影响砂体连通体积因素的定量评价[D].荆州:长江大学,2012.
[14]Dong Chunmei,Zhao Zhongxiang,Zhang Xianguo,et al.Analysis of provenance and sedimentary facies of Huagang formation in the north central of Xihu Sag[J].Journal of Northeast Petroleum University,2018,42(5):25-34.董春梅,赵仲祥,张宪国,等.西湖凹陷中北部花港组物源及沉积相分析[J].东北石油大学学报,2018,42(5):25-34.
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