致密储层孔隙度测定参数优化

田华; 张水昌; 柳少波; 马行陟; 张洪

doi:10.11781/sysydz201203334

致密储层孔隙度测定参数优化

doi: 10.11781/sysydz201203334

田华^1,2,
张水昌^1,2,
柳少波^1,2,
马行陟^1,2,
张洪^1,2

1.
中国石油勘探开发研究院, 北京100083
2. 提高石油采收率国家重点实验室, 北京100083

基金项目: 国家重大科技专项(2011ZX05007-001);国家重点基础研究发展计划(973计划)项目(2009CB219601);中国石油天然气股份有限公司科技攻关项目(2011A-0203)资助

详细信息

作者简介:
田华(1986- ),男,硕士,从事页岩储层孔隙结构研究。E-mail:drawtianhua@163.com。

中图分类号: TE135
计量
- 文章访问数: 4174
- HTML全文浏览量: 55
- PDF下载量: 1883
- 被引次数: 0
出版历程
- 收稿日期: 2011-10-27
- 修回日期: 2012-03-05
- 刊出日期: 2012-05-28

Parameter optimization of tight reservoir porosity determination

1.
Research Institute of Petroleum Exploration & Development, PetroChina, Beijing 100083, China
2. State Key Laboratory of EOR, Beijing 100083, China

摘要

摘要: 孔隙度是评价储层物性、计算原始油气储量的重要参数,致密储层孔隙度一般小于10%,页岩储层普遍小于5%,常规波义尔定律双室法孔隙度测定仪器很难满足精度要求。为了提高致密储层孔隙度测定精度,建立了孔隙度压力区分度目标函数,区分度越大,测定精度越高。通过数值模拟,对孔隙度测定仪器进行了参数优化,结果表明,欲使得区分度增大,需要满足3个条件:(1)平衡前参考室压力、平衡前样品室压力尽量大;(2)取出的标准块体积、样品体积尽量小;(3)标准块体积尽量与样品体积相等。参数优化后孔隙度为5.0%的标准样品测定值相对误差最大可降低14%,绝对误差最大可降低0.7%,通过参数优化为致密储层孔隙度测定提供了技术支持。
- 孔隙度 /
- 参数优化 /
- 数值模拟 /
- 页岩 /
- 致密砂岩
Abstract: The porosity is an important parameter to evaluate reservoir physical properties and calculate petroleum reserves. The porosity of tight reservoir is less than 10%, and that of gas shale is usually less than 5%, which is a great challenge of porosity determination apparatuses. Currently the Boyle's Law Double-Cell (Matrix Cup) Method is widely used. The porosity determination for gas shale and tight sandstone needs ultra high accuracy, and it is necessary to carry theory analysis and optimize determination parameters. The objective pressure distinction function is established and numerical simulation is carried out. To obtain higher accuracy, it is necessary to set higher reference cell primary pressure, higher sample cell primary pressure, lower standard bulk volume and lower sample bulk volume. The relative error of experimental porosity of the standard sample of 5.0% can decline as much as 14%, and the absolute error can decline by 0.7%. This study developed a theory calculation model, which will be useful for technical support for tight reservoir porosity determination.
- porosity /
- parameter optimization /
- numerical simulation /
- shale /
- tight sandstone

HTML全文

参考文献(20)

[1]	Bustin R M,Bustin A,Ross D,et al.Shale gas opportunities and challenges//AAPG Annual Convention,San Antonio,Texas,2008.
[2]	Curtis M E,Ambrose R J,Energy D,et al.Structural characterization of gas shales on the micro-and nano-scales//Canadian Unconventional Resources and International Petroleum Conference,Calgary,Alberta,Canada,2010.
[3]	Sondergeld C H,Ambrose R J,Rai C S,et al.Micro-structural studies of gas shales//SPE Unconventional Gas Conference, Pittsburgh, Pennsylvania,USA,2010.Pennsylvania:SPE 131771.2010:1-25.
[4]	Bustin R M,Bustin A M M,Cui X,et al.Impact of shale properties on pore structure and storage characteristics//SPE Shale Gas Production Conference, Fort Worth, Texas, USA,2008.Texas:SPE 119892.2008:1-28.
[5]	范昌育,王震亮.页岩气富集与高产的地质因素和过程[J].石油实验地质,2010,32(5):465-469.
[6]	聂海宽,张金川.页岩气储层类型和特征研究:以四川盆地及其周缘下古生界为例[J].石油实验地质,2011,33(3):221-225.
[7]	张忠涛,施和生,秦成岗,等.番禺低隆起—白云凹陷北坡断层封闭性研究[J].断块油气田,2010,17(1):24-27,51.
[8]	王欢,王琪,张功成,等.琼东南盆地梅山组泥岩盖层封闭性综合评价[J].地球科学与环境学报,2011,33(2):152-158.
[9]	温晓红,周拓,胡勇,等.致密岩心中气体渗流特征及影响因素实验研究[J].石油实验地质,2010,32(6):592-595.
[10]	谢润成,周文,晏宁平.致密低渗砂岩储层质量控制因素研究:以靖边气田盒8段为例[J].石油实验地质,2010,32(2):120-128.
[11]	中华人民共和国石油天然气行业标准:SY-T5336-2006岩心分析方法[S].
[12]	罗蛰潭.油层物理[M].北京:地质出版社,1985.
[13]	秦积舜,李爱芬.油层物理学[M].东营:中国石油大学出版社,2006.
[14]	李先鹏.一种改进的岩样有效孔隙度测定方法[J].江汉石油学院院报,1997,19(2):39-41.
[15]	Ross D J K,Bustin M,Marc R.The importance of shale composition and pore structure upon gas storage potential of shale gas reservoirs[J].Marine and Petroleum Geology,2009,26:916-927.
[16]	Chalmers G R L,Bustin R M. The organic matter distribution and methane capacity of the Lower Cretaceous strata of Northeastern British Columbia,Canada[J].International Journal of Coal Geology,2007,70:223-239.
[17]	沈平平.油层物理实验技术[M].北京:石油工业出版社,1995:30-82.
[18]	黄延章.低渗透油层渗流机理[M].北京:石油工业出版社,1998:12.
[19]	杨正明,张英芝,郝明强,等.低渗透油田储层综合评价方法[J].石油学报,2006,27(2):64-67.
[20]	薛定宇,陈阳泉.高等应用数学问题的MATLAB求解[M].第2版.北京:清华大学出版社,2008.