概率统计法在页岩气储量静态评估中的应用

张玲; 李军; 卢泉杰; 邱韵; 庄丽; 陈萍

doi:10.11781/sysydz201601141

概率统计法在页岩气储量静态评估中的应用

doi: 10.11781/sysydz201601141

中国石化石油勘探开发研究院, 北京 100083

基金项目: 国家重大专项"大型油气田及煤层气开发"(2016ZX05060)和中国石化科技部项目"页岩气储量计算与评价方法研究"(P15110)资助。

详细信息

作者简介:
张玲(1962-),女,教授级高级工程师,研究方向为储量计算评价与管理。E-mail:zhangling.syky@sinopec.com。

中图分类号: TE155
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出版历程
- 收稿日期: 2015-01-14
- 修回日期: 2015-12-11
- 刊出日期: 2016-01-28

Probabilistic method applied to the static evaluation of shale gas reserves

SINOPEC Petroleum Exploration & Production Research Institute, Beijing 100083, China

摘要

摘要: 页岩气赋存于大面积连续分布、低孔超低渗、富含有机质的页岩中,采用大段水平井压裂改造方可获得商业开发,因此地质认识难度大、储量参数和储量计算结果不确定程度大。采用概率统计法,通过储量静态评估模型构建、储量期望曲线分析,对页岩气储量参数、储量的不确定程度提出定量评估方法,较好地解决页岩气储量参数难以确定问题。客观地描述储量及储量分布,为页岩气储量评估、勘探开发规划和部署提供可借鉴方法。
- 静态评估 /
- 概率统计法 /
- 储量 /
- 页岩气
Abstract: Shale gas is abundant in widespread continuous organic shale with low porosity and ultra-low permeability.Commercial production is possible after horizontal well fracturing. The above characteristics limit geological understanding, and result in a high uncertainty for reservoir parameters and reserve calculations.We propose a quantitative evaluation method to resolve the uncertainties through a static evaluation model and expectation curve analysis by using a probabilistic method. It offers a better solution for reserve parameters and reserve calculations, and provides a reference method for reserve evaluation, exploration planning and development, and shale gas production.
- static evaluation /
- probabilistic method /
- reserves /
- shale gas

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参考文献(23)

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