大港油田西58-8稀井网区河道砂体预测
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摘要
应用整合地震、各种微相定量参数与地质统计学相结合的三维地质建模方法,对大港油田西58-8稀井网区河道砂体分布进行预测。结果表明:处于同一沉积体系的紧邻的老油田密井网区的沉积微相定量表征参数可以作为稀井网区砂体预测的约束参数;地震资料预测的复合河道级别砂体分布范围可作为单河道砂体预测的最大外边界;在最大外边界及微相定量表征参数的约束下,采取示性点过程算法模拟单砂层级别沉积微相三维分布,以此为基础的"相控"模拟可以提高单河道砂体三维分布预测精度。
Taking west 58-8 borefield in Dagang Oilfield as an example,the channel sandbodies distribution in sparse well network were predicted applying the methods of three-dimensional geological model that is integrated seismic data,microfacies quantitative characterization of parameters with geostatistics.The results show that the parameters of microfacies quantitative characterization towards the dense well pattern area of nearby old oilfield in the same sedimentary system can be used as the boundary parameters of sandbodies prediction in sparse well network.The range of complex channel sandbodies distribution predicted by seismic data can be seen as the maximum outer boundary of single channel sandbodies distribution.Under the constraints of maximum outer boundary and parameters of microfacies quantitative characterization,the three-dimensional distribution of single sand-level microfacies was simulated by means of point process arithmetic.The prediction accuracy of single channel sandbodies in three-dimensional distribution could be improved by facies control simulation.
Taking west 58-8 borefield in Dagang Oilfield as an example,the channel sandbodies distribution in sparse well network were predicted applying the methods of three-dimensional geological model that is integrated seismic data,microfacies quantitative characterization of parameters with geostatistics.The results show that the parameters of microfacies quantitative characterization towards the dense well pattern area of nearby old oilfield in the same sedimentary system can be used as the boundary parameters of sandbodies prediction in sparse well network.The range of complex channel sandbodies distribution predicted by seismic data can be seen as the maximum outer boundary of single channel sandbodies distribution.Under the constraints of maximum outer boundary and parameters of microfacies quantitative characterization,the three-dimensional distribution of single sand-level microfacies was simulated by means of point process arithmetic.The prediction accuracy of single channel sandbodies in three-dimensional distribution could be improved by facies control simulation.
引文
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[2]武军昌,吴胜和,尹伟,等.黄骅坳陷港西开发区新近系明化镇组沉积微相三维建模[J].古地理学报,2002,4(4):39-45.WU Jun-chang,WU Sheng-he,YIN Wei,et al.3Dmodeling of sedimentary microfacies of Minghuazhen for-mation of neogene in Gangxi development area in Huang-hua depression[J].Journal of Palaeogeography,2002,4(4):39-45.
[3]王多云,李凤杰,王峰,等.储层预测和油藏描述中的一些沉积学问题[J].沉积学报,2004,2(2):193-196.WANG Duo-yun,LI Feng-jie,WANG Feng,et al.Somesedimentological problems on reservoir prediction and oil-pool characterisation[J].Sedimentologica Sinica,2004,2(2):193-196.
[4]申本科,胡永乐,田昌炳.油藏描述技术发展与展望[J].石油勘探与开发,2003,30(4):78-81.SHEN Ben-ke,HU Yong-le,TIAN Chang-bing.A per-spective of development in reservoir description[J].Pe-troleum Exploration and Development,2003,30(4):78-81.
[5]任殿星,李凡华,李保柱.多条件约束地质建模技术[J].石油勘探与开发,2008,35(2):205-214.REN Dian-xing,LI Fan-hua,LI Bao-zhu.Geomodelingtechnology under multifactor control[J].Petroleum Explo-ration and Development,2008,35(2):205-214.
[6]王贺军.大庆油田井间砂体预测方法[J].石油地质与工程,2007,21(3):58-60.WANG He-jun.Method of prediction of inter-well reser-voir in Daqing Oilfield[J].Petroleum Geology and Engi-neering,2007,21(3):58-60.
[7]何文祥,贾爱林.露头在密井网区井间砂体预测的应用研究[J].断块油气田,2004,11(5):6-9.HE Wen-xiang,JIA Ai-lin.The application research ofoutcrop to predict inter-well reservoir in dense spacing ar-ea[J].Fault-Block Oil&Gas Field,2004,11(5):6-9.
[8]何碧竹,周杰,汪功怀.利用多元地震属性预测储层信息[J].石油地球物理勘探,2003,38(3):258-262.HE Bi-zhu,ZHOU Jie,WANG Gong-huai.Using multi-variate seismic attributions to predict reservoir information[J].Oil Geophysical Prospecting,2003,38(3):258-262.
[9]沈荣,张宏健,夏连军,等.基于地震属性分析的储层预测方法研究[J].小型油气藏,2008,13(2):22-25.SHEN Rong,ZHANG Hong-jian,XIA Lian-jun,et al.Reservoir forecast method based on seismic attribute ana-lyses[J].Small Hydrocarbon Reservoirs,2008,13(2):22-25.
[10]张建林,吴胜和.东营凹陷北部陡坡带T71块深水浊积扇相控孔隙度建模方法[J].中国石油大学学报:自然科学版,2009,33(5):12-16.ZHANG Jian-lin,WU Sheng-he.Method of porosity-modelling of deep water turbidity-fan based on faciescontrolled in T71 block of northern steep structure belt ofDongying depression[J].Journal of China University ofPetroleum(Edition of Natural Science),2009,33(5):12-16.
[11]唐海发,贾爱林,彭仕宓,等.洪积扇相储层沉积微相-岩石相随机模拟[J].中国石油大学学报:自然科学版,2010,34(3):12-17.TANG Hai-fa,JIA Ai-lin,PENG Shi-mi,et al.Sto-chasticmodeling of sedimentary microfacies-lithofacies inproluvial fan reservoir[J].Journal of China University ofPetroleum(Edition of Natural Science),2010,34(3):12-17.
[12]大港油田石油地质志编辑委员会.中国石油地质志:卷4[M].北京:石油工业出版社,1991.
[13]WEBER K J,van GEUNS L C.Framework for construc-ting clastic reservoir simulation models[R].SPE 19582,1990.
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