石油学报 ›› 2010, Vol. 31 ›› Issue (5): 787-790.DOI: 10.7623/syxb201005014

• 油田开发 • 上一篇    下一篇

中国东部碎屑岩油藏随机建模研究

张锐锋 1  张舒亭 2  陈永红 3  陈  彬 2  侯玉花 3  黄俊莲 3   

  1. 1中国石油华北油田公司勘探部  河北任丘  062552; 2中国石油华北油田公司第四采油厂  河北廊坊  065000; 3中国石油渤海钻探公司第二录井公司  河北任丘  062552
  • 出版日期:2010-09-25 发布日期:2010-11-30
  • 通讯作者: 张锐锋
  • 作者简介:张锐锋,男,1964年10月生,1986年毕业于江汉石油学院,现为华北油田勘探部副经理,高级工程师,主要从事油田勘探与生产及研究工作。
  • 基金资助:

    国家科技重大专项(2008ZX05009-005-04)资助。

Stochastic simulations of clastic reservoirs in East China

ZHANG Ruifeng 1  ZHANG Shuting 2  CHEN Yonghong 3  CHEN Bin 2  HOU Yuhua 3  HUANG Junlian 3   

  • Online:2010-09-25 Published:2010-11-30

摘要:

在使用地质统计学工具对油藏进行序贯高斯模拟(SGS)时,通过经典的序贯高斯模拟算法所产生的实现中,非确定性因素所占的比例与数据和算法均相关。在油藏模拟过程中,只有对算法与数据均进行细致的分析,才能全面地评价所得到的实现结果,这些实现结果往往具有较大差异,甚至具有相反的趋势。SGS算法具有统计学意义,因此,数据的处理对SGS算法本身就会产生影响,消除或减少这些影响要将算法与数据相结合来分析与处理,从而做到在充分利用硬数据的前提下,完善SGS算法,最终达到优化模拟实现的结果。本文以硬数据的分布为依据,采用有条件地控制随机量所占比例的方式,在油藏模拟过程中,使随机量的比例不超过估计值的量,从而达到硬数据的地质变化趋势不至于被随机量所淹没。同时,适当地控制模拟网格点的模拟次序,让那些能搜索到更多硬数据的点优先被模拟,以达到更充分地利用硬数据减少随机噪声的加入。经改进的SGS算法比经典的SGS算法更能反映硬数据总体所带有的地质规律。

关键词: 随机建模, 地质统计学, 硬数据, 序贯高斯模拟, 碎屑岩油藏, 中国东部

Abstract:

When geostatistical tools were used to simulate reservoirs, the proportion of uncertain factors in the realization resulted from the classical Sequence Gaussian Simulation (SGS) algorithm correlated with both the data and the algorithm used. During reservoir simulations, a complete evaluation of realizations would not be obtained unless the data and the algorithm used are analyzed in details. The results of realizations may vary greatly, sometimes even showing a reverse trend. SGS has statistical significance, thus, the data processing will then exert an influence on the algorithm itself. The analysis and processing combined with algorithm and data may eliminate or reduce this influence and optimize the result through improving the SGS method on condition that hard data are fully used. Based on the distribution of hard data, this paper attempted to make the random quantity be less than the quantity of the estimated value during the course of reservoir simulations by means of conditionally controlling the proportion of the random quantity, consequently, no random quantity would be apt to shield the geological change trend of hard data.At the same time, the grid points that could search more hard data would be simulated first by measurably controlling the simulation sequence during the course of simulation,which could make full use of hard data and reduce the disturbance of random noise.The SGS approach presented in this paper can reflect more geology rules implied by the whole hard data than the classic SGS method previously used in reservoir simulations.

Key words: stochastic simulation, geostatistics, hard data, Sequence Gaussian Simulation (SGS), clastic reservoir, eastern China