石油与天然气地质 ›› 2012, Vol. 33 ›› Issue (6): 944-950.doi: 10.11743/ogg20120617

• 技术方法 • 上一篇    

概率法储量计算在CLFS项目中的应用

李洁梅1, 谭学群1, 许华明1, 张鹏2   

  1. 1. 中国石化 石油勘探开发研究院,北京 100083;
    2. 山东省第五地质矿产勘察院,山东 泰安 271021
  • 收稿日期:2011-10-14 修回日期:2012-09-16 出版日期:2012-12-28 发布日期:2013-01-10
  • 第一作者简介:李洁梅(1982—),女,硕士、工程师,油气田开发地质。
  • 基金项目:

    中国石化国勘横向项目(E60-00552)。

Application of probabilistic method in reserve calculation for the CLFS oilfield project

Li Jiemei1, Tan Xuequn1, Xu Huaming1, Zhang Peng2   

  1. 1. Exploration & Production Research Institute, SINOPEC, Beijing 100083, China;
    2. The Fifth Geological Prospecting Institute, Tai'an, Shangdong 271021, China
  • Received:2011-10-14 Revised:2012-09-16 Online:2012-12-28 Published:2013-01-10

摘要:

采用蒙特卡洛模型进行储量计算,承认储量参数具有不确定性。鉴于各地质参数本身的随机性特点,将其视为以不同概率在实数域上随机取值的随机变量,较好地掌握参数的取值范围。同时,结合CLFS项目储量计算实例,按照SPE标准,详细分析了具有较大不确定性参数的取值方法,包括含油面积、孔隙度、有效厚度、饱和度和原油体积系数等多个储量参数。确定了各个参数的取值范围,求出了各个参数的P10,P50和P90值。最终的储量结果是一个储量范围,涵盖了从保守到乐观的估值范围,从而更准确地把握了油田储量状况,为油田的勘探开发决策提供了更可靠的依据,降低了油气勘探开发过程中决策的风险。

关键词: 概率分布函数, 确定法, 概率法, CLFS项目, 储量计算

Abstract:

The Monte Carlo simulation was applied to reserve calculations to honor the uncertainties of reserve parameters.As geologic parameters themselves are random in nature,they are treated as stochastic variables that randomly choose values in real number domain with different probabilities.Taking reserve calculation of the CLFS project as an example,suitable valuing methods were selected for parameters with uncertainties in accordance with the SPEC standards.These parameters include oil-bearing areas,porosity,effective thickness,saturation and crude volume coefficient.The value ranges of each parameter were determined and their values at P10,P50 and P90 were calculated.The final calculation result is just a range of reserves,covering the full value ranges from conservative to optimistic.By doing so,we could master the overall situation concerning the reserve of the oilfield so as to provide more reliable bases for exploration and development strategies and reduce decision-making risks.

Key words: probability distribution function, deterministic method, probabilistic method, CLFS project, reserve calculation

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