油气储层岩心实验的样本量设计

吕洲; 王玉普; 李莉; 侯秀林; 薛萧敏; 张宝辉

doi:10.11781/sysydz201804589

油气储层岩心实验的样本量设计

doi: 10.11781/sysydz201804589

1. 中国石油勘探开发研究院, 北京 100083;
2. 中国工程院, 北京 100088;
3. 中国石油长庆油田公司, 西安 710018

基金项目:

国家科技重大专项（2017ZX05013-006）、国家重点基础研究发展计划“陆相致密油甜点成因机制及表征”（2015CB250901）和中国石油天然气股份有限公司科学研究与技术开发项目（2016B-1306）资助。

详细信息

作者简介:
吕洲(1990-),男,在读博士生,从事油气田开发地质研究。E-mail:lvzhou827@163.com。

中图分类号: TE122.23
计量
- 文章访问数: 570
- HTML全文浏览量: 26
- PDF下载量: 110
- 被引次数: 0
出版历程
- 收稿日期: 2017-12-14
- 修回日期: 2018-06-01
- 刊出日期: 2018-07-28

Sample size design for oil and gas reservoir core-plug experiments

1. PetroChina Research Institute of Petroleum Exploration & Development, Beijing 100083, China;
2. Chinese Academy of Engineering, Beijing 100088, China;
3. PetroChina Changqing Oilfield Company, Xi'an, Shaanxi 710018, China

摘要

摘要: 油气储层实验数据是油气地质研究、岩石地球物理评价和油气藏工程理论计算的基础。然而，油气储层所用的岩心样品数量有限且实验费用高昂，难以获取大量的实验数据，这就造成了后续储层参数评价的不确定性。该文阐述了油气储层岩心实验数据的样本量设计方法，探讨了随机抽样方法下合理的样本量设计流程；结合实测油气储层实验数据，分析了样本量设计的效果。结果表明：利用相邻井岩心资料和测井信息可以有效地预估岩心实验的样本量，提高实验数据的应用效果。在岩心实验的设计中，应该充分重视实验样本量设计这一基本环节，并采用随机化、重复和区组化的实验设计策略，对于节约实验周期与成本、提升岩心实验数据的可靠性有着重要作用。
- 储层 /
- 岩心 /
- 实验 /
- 样本量
Abstract: Experimental data of oil and gas reservoirs are the basis of oil and gas geology research, rock geophysical evaluation and petroleum engineering calculations. However, the number of core samples is limited and the experiment costs are high, making it difficult to obtain large amounts of data, resulting in the uncertainty of reservoir evaluation. This paper presented a sample size design method for the core data of oil and gas reservoirs, and discussed some reasonable sample size design steps using a random sampling method. The effect of sample size design was analyzed combined with the experimental data. The results showed that using adjacent well data and well logging data can effectively predict sample size, reduce experiment cost and improve the application effect of experimental data. In the design of core experiments, we should pay full attention to sample design, and adopt randomized, repeated and segmented experiment design strategies, which are important for saving experiment cycles and costs and improving the reliability of core experiment data.
- reservoir /
- core /
- experiment /
- sample number

HTML全文

参考文献(15)

[1]	沈平平.油层物理实验技术[M].北京:石油工业出版社,1995. SHEN Pingping.Reservoir physics experiment technology[M].Beijing:Petroleum Industry Press,1995.
[2]	宋子齐,高兴军,谭成仟,等.克拉玛依油田八区克上组砾岩油藏流动单元研究[J].新疆石油地质,2002,23(2):150-153. SONG Ziqi,GAO Xingjun,TAN Chengqian,et al.Study of flow element of conglomerate reservoir in Upper Karamay Formation,District 8 in Karamay Oilfield[J].Xinjiang Petroleum Geology,2002,23(2):150-153.
[3]	MONTGOMERY D C.实验设计与分析[M].6版.傅珏生,张健,王振羽,译.北京:人民邮电出版社,2009:8-14,17-43. MONTGOMERY D C.Design and analysis of experiments[M].6th ed.FU Juesheng,ZHANG Jian,WANG Zhenyu,trans.Beijing:People's Post and Telecommunications Press,2008:8-14,17-43.
[4]	杨小兵,范利群,刘子平.应用阵列声波长源距声波时差求取孔隙度参数[J].测井技术,2009,33(1):57-59. YANG Xiaobing,FAN Liqun,LIU Ziping.Estimation of reservoir porosity parameter using array sonic wave slowness[J].Well Logging Technology,2009,33(1):57-59.
[5]	PURSELL D A,HUNT E R.Fundamentals of log analysis.Part 12:Integrating core data with log analysis results[J].World Oil,1997,218(12):185-188.
[6]	韩玉娇,周灿灿,范宜仁,等.基于孔径组分的核磁共振测井渗透率计算新方法:以中东A油田生物碎屑灰岩储集层为例[J].石油勘探与开发,2018,45(1):170-178. HAN Yujiao,ZHOU Cancan,FAN Yiren,et al.A new permeability calculation method using nuclear magnetic resonance logging based on pore sizes:a case study of bioclastic limestone reservoirs in the A oilfield of the Mid-East[J].Petroleum Exploration and Deve-lopment,2017,45(1):170-178.
[7]	李浩,刘双莲,柴公权,等.基于岩心刻度的测井地质分析方法[J].地球物理学进展,2016,31(1):225-231. LI Hao,LIU Shuanglian,CHAI Gongquan,et al.Logging geologic analysis method based on core calibration[J].Progress in Geophysics,2016,31(1):225-231.
[8]	李淑荣,李爱华,钱勤,等.利用全直径岩心刻度测井孔隙度方法探讨[J].测井技术,2010,34(6):572-575. LI Shurong,LI Aihua,QIAN Qin,et al.An approach to calibrate logging porosity with whole well cores data[J].Well Logging Technology,2010,34(6):572-575.
[9]	王振华,陈刚,李书恒,等.核磁共振岩心实验分析在低孔渗储层评价中的应用[J].石油实验地质,2014,36(6):773-779. WANG Zhenhua,CHEN Gang,LI Shuhen,et al.Application of NMR core experimental analysis in evaluation of low-porosity and low-permeability sandstone reservoirs[J].Petroleum Geo-logy & Experiment,2014,36(6):773-779.
[10]	中华人民共和国国家发展和改革委员会.岩心分析方法:SY/T 5336-2006[S].北京:石油工业出版社,2007. People's Republic of China National Development and Reform Commission.Practices for core analysis:SY/T 5336-2006[S].Beijing:Petroleum Industry Press,2007.
[11]	田华,张水昌,柳少波,等.致密储层孔隙度测定参数优化[J].石油实验地质,2012,34(3):334-339. TIAN Hua,ZHANG Shuichang,LIU Shaobo,et al.Parameter optimization of tight reservoir porosity determination[J].Petroleum Geology & Experiment,2012,34(3):334-339.
[12]	李学斌,余小领.运用EXCEL进行样本容量的估计[J].电脑知识与技术,2008,4(4):987-989. LI Xuebin,YU Xiaoling.Estimating the sample size by EXCEL function[J].Computer Knowledge and Technology,2008,4(4):987-989
[13]	李洪奇,李莉,谢绍龙.基于粒子群算法的声波测井岩心自动归位[J].计算机工程,2009,35(3):217-218. LI Hongqi,LI Li,XIE Shaolong.Sonic logging automatic core location based on PSO[J].Computer Engineering,2009,35(3):217-218.
[14]	HAN Dehua,NUR A,MORGAN D.Effects of porosity and clay content on wave velocities in sandstones[J].Geophysics,1986,51(11):2093-2017.
[15]	AMAEFULE J O,ALTUNBAY M,TIAB D,et al.Enhanced reservoir description:using core and log data to identify hydraulic (flow) units and predict permeability in uncored intervals/wells[C]//SPE Annual Technical Conference and Exhibition.Houston:Society of Petroleum Engineers,1993.