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尕斯油田岩性建模算法优选
引用本文:李密,李少华,何火华.尕斯油田岩性建模算法优选[J].物探与化探,2012(2):293-297.
作者姓名:李密  李少华  何火华
作者单位:1. 中原油田普光分公司采气厂,四川达州635000
2. 长江大学地球科学学院,湖北荆州434023
基金项目:湖北省自然科学基金项目(2010CDB04302)
摘    要:比较岩性模型建立方法。首先,在高分辨率层序地层学的指导下,最大限度地应用地质、露头、三维地震、测井等静态资料,发挥井点资料垂向分辨率高,地震资料横向信息丰富的优势,在地质规律约束下建立不同时间的高精度等时地层格架模型。然后,在精细格架模型的基础上,以测井解释得到的岩相数据作为条件数据,分别采用指示克里格、截断高斯模拟、Object-modeling算法、贯指示模拟建立砂体展布模型。最后,通过抽稀检验评价不同算法对模拟结果的影响,实现算法及其参数的优选,从而指导整个区块不同开发阶段,不同井网密度时全区三维精细地质模型的建立,也可为具有相似地质环境的油田建立三维地质模型提供参考。通过比较,优选出指示克里格、序贯指示模拟两种算法都能较好表征本研究区地质情况。

关 键 词:密井网  变差函数  储层格架模型  沉积相模型

THE OPTIMIZATION OF ALGORITHMS FOR LITHOLOGIC MODELING IN THE GASI OIL FIELD
LI Mi,LI Shao-hua,HE Huo-hua.THE OPTIMIZATION OF ALGORITHMS FOR LITHOLOGIC MODELING IN THE GASI OIL FIELD[J].Geophysical and Geochemical Exploration,2012(2):293-297.
Authors:LI Mi  LI Shao-hua  HE Huo-hua
Institution:1.The Puguang branch of Zhongyuan Oil Field,Dazhou 635000,China;2.School of Geosciences,Yangtze University,Jingzhou 434023,China)
Abstract:This paper deals with optimizing algorithms of lithologic modeling.Firstly,under the guidance of high resolution sequence stratigraphy,geological,outcrop,seismic,logging and other static data are applied to the fullest possible extent.The logging data advantage of high vertical resolution and the seismic data advantage of rich lateral information are exploited to the full to establish the high accuracy isochronous stratigraphic model under the restraint of geological regularity.Then,taking the petrographic data obtained from well log data as the condition data,and using indicator kriging algorithm,truncated Gaussian simulation,object-based simulation and sequential indicator simulation,we can establish the sand body distribution model.Lastly,algorithms are optimized through sampling inspection so as to establish three-dimensional high-precision geological model under the conditions of different well densities and different development stages.It may contribute to establishing 3D geological model in some oilfields with similar geological backgrounds.A comparison shows that the optimized indicator kriging and sequential indicator simulation can better characterize geological features of the target area.
Keywords:dense drilling  variogram  reservoir frame model  sedimentary facies models
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