具有组分梯度的挥发性油藏组分分布规律

新疆石油地质 ›› 2010, Vol. 31 ›› Issue (1): 81-84.

具有组分梯度的挥发性油藏组分分布规律

李菊花^1a,1b, 李相方², 刘滨³

1.长江大学 a.油气资源与勘探技术教育部重点实验室;b.石油工程学院,湖北荆州 434023;
2.中国石油大学石油与天然气工程学院,北京 102249;
3.中国石油吐哈油田分公司勘探开发研究院,新疆哈密 839009

收稿日期:2009-07-15 修回日期:2009-09-03 发布日期:2020-07-27
作者简介:李菊花(1975-),女,重庆人,副教授,博士,油气田开发,(Tel)15927702956(E-mail)lucyli7509@163.com.
基金资助:
湖北省教育厅优秀中青年人才基金项目(Q20081211)

Compositional Distribution in Volatile Oil Reservoir with Compositional Gradient

LI Ju-hua^1a,1b, LI Xiang-fang², LIU Bin³

1. Yangtze University, a. MOE Key Laboratory of Oil-Gas Resources and Exploration Technologies, b. Institute of Petroleum Engineering, Jingzhou, Hubei 434023, China;
2. Institute of Oil and Gas Engineering, China University of Petroleum, Beijing 102249, China;
3. Research Institute of Exploration and Development, Tuha Oilfield Company, PetroChina, Hami, Xinjiang 839009, China

Received:2009-07-15 Revised:2009-09-03 Published:2020-07-27

摘要/Abstract

摘要： 根据国内外文献报道统计了组分随深度变化的21组流体组成数据,建立了不同类型油藏流体组分梯度分布图版,初步确定挥发油系统中C₇⁺组分梯度的变化范围为0.01~0.05mol%/m;运用等温组分梯度模型预测挥发性油藏油气界面,轻质、重质摩尔组成,原油的物性参数,展示了流体组分和性质随深度的分布特征和变化规律,显示出组分最大变化率发生在油气界面附近;采用等组分和等温梯度模型预测PVT属性建立实例油藏原油体积系数、溶解气油比与油藏埋深的关系图版估计地质储量范围值。对PB油藏典型流体样品采用考虑组分梯度模拟方法重新估算的地质储量较原计算值高5.38%,溶解气原始地质储量较原计算值高3.9％。

关键词: 组分梯度, 挥发性油藏, 地质储量, 状态方程

Abstract: This paper presents the charts of compositional gradient distribution of different types of reservoir fluids based on the data from 21 groups of fluid compositions that change with depth reported in literatures at home and abroad. It is preliminarily identified that the compositional gradient of C₇⁺ in the volatile oil system varies in range of 0.01~0.05 mol%/m. Using the isothermal model of compositional gradient to predict the oil-gas contact, the light and heavy components and the physical parameters of crude oil in volatile oil reservoir, it is shown that the maximum rate of change occurs right near the oil-gas contact, displaying the distribution and variation of the fluid component and property with depth. Using the iso-compositional and isothermal gradient model to predict the PVT attribute, the relation chart of the crude oil volume coefficient and the solution gas-oil ratio with depth of reservoir is established for estimation of the range of geological reserves. For PB reservoir as a case, by using this simulation method, it shows that the re-estimated OOIP and OGIP are 5.38% and 3.9% higher than the original estimation values, respectively.

Key words: compositional gradient, volatile reservoir, geologic reserve, OOIP, OGIP, state equation

中图分类号:

TE124.1

李菊花, 李相方, 刘滨. 具有组分梯度的挥发性油藏组分分布规律[J]. 新疆石油地质, 2010, 31(1): 81-84.

LI Ju-hua, LI Xiang-fang, LIU Bin. Compositional Distribution in Volatile Oil Reservoir with Compositional Gradient[J]. Xinjiang Petroleum Geology, 2010, 31(1): 81-84.

参考文献

[1] Sage B H,Lacey W N.Gravitational concentration gradients in static columns of hydrocarbon Fluids, Trans[J]. AIME,1938,132:120-131.
[2] Ali Danesh.油藏流体的PVT 与相态[M]. 沈平平, 韩冬,译. 北京:石油工业出版社,1991:80-92;98-118;191-203.
[3] Khaled Othman Al -Subai. Compositional gradient calculations for a Saudi Arabian gas condensate reservoir[C]. King Fahd University in Dhahran Saudi, 2001.
[4] Jaramillo J M, Barrufet M A.Effects in the determination of oil reserves due to gravitational compositional gradients in near-critical reservoirs[A]. SPE 71726,2001.
[5] Lars Hoier, Whitson C A. compositional grading-theory and practice[A]. SPE 63085,2000.
[6] Shanqiang Luo, Maria A.Composotional gradient: its role in near-critical reservoir development[J]. Journal of Petroleum Science and Engineering,2004,45:193-201.
[7] 金静芷,唐养吾. 挥发油油田开发译文集[C]. 北京:中国石油天然气总公司开发生产部,1990:11-16.
[8] Clark, Robert A Jr. Voidage replacement ratio calculations in retrograde condensate to volatile oil reservoirs undergoing EOR processes[A]. SPE 84359, 2003.
[9] Smith R W, Bard W A.Equation of state of a complex fluid column and prediction of contacts in orocual field, venezuela[A]. SPE 88869,2004.
[10] Hanafy H H, Mahgoub I S.Methodology of investigating thecompositional gradient within the hydrocarbon column[A].SPE 95760,2005.
[11] Whitson C H,Belery P.Compositional gradients in petroleum reservoirs[A]. SPE 28000,1994.
[12] Guerra A.Analysis of the dynamics of pressure and saturation profiles as a tool to optimize liquid production in gas condensate reservoirs[D]. Texas A&M University, CollegeStation, May 2001.
[13] Bulent I.Performance analysis of compositional and modifiedblack-oil models for rich gas-condensate reservoirs withvertical and horizontal wells[D]. Texas A&M University,College Station, December 2003.
[14] Lars Hoier, Whitson C H.Miscibility variation in compositionally grading reservoirs[A]. SPE 49269, 1998.

[1]	周立明, 韩征, 张道勇, 任继红, 冯志刚, 张晨朔. 中国新增石油和天然气探明地质储量特征[J]. 新疆石油地质, 2022, 43(1): 115-121.
[2]	漆立新, 云露, 曹自成, 李海英, 黄诚. 顺北油气田地质储量评估与油气勘探方向[J]. 新疆石油地质, 2021, 42(2): 127-135.
[3]	鹿克峰, 蔡华, 丁芳, 苏畅, 石美雪, 李宁, 马恋. 挥发性油藏PVT数据矫正新方法对动态预测的影响[J]. 新疆石油地质, 2020, 41(3): 295-301.
[4]	梁宝兴1，周伟1，刘勇1，张自新1，张可2，刘伟洲1. 四棵树凹陷高探1井流体特征及油藏类型分析[J]. , 2019, 40(2): 1-1.
[5]	何斌，宁正福，杨峰，孔德涛，彭攀. 状态方程对页岩吸附甲烷等温线的影响[J]. , 2014, 35(4): 1-1.
[6]	吕渐江, 唐海, 李春芹, 海涛, 杜春晖, 吕栋梁. 考虑相态变化的CO₂气藏物质平衡方程[J]. 新疆石油地质, 2010, 31(6): 617-620.
[7]	张宏友, 王月杰, 雷源, 马奎前, 柴世超. 组分模型在高挥发性油藏中的应用——以渤海 S油田为例[J]. 新疆石油地质, 2010, 31(4): 420-422.
[8]	刘世常, 李闽, 巫扬, 赵娟, 薛国庆. 计算水驱气藏地质储量和水侵量的简便方法[J]. 新疆石油地质, 2008, 29(1): 88-90.
[9]	文玉莲, 杜志敏. 注气对挥发性原油饱和压力的影响[J]. 新疆石油地质, 2004, 25(5): 520-522.
[10]	陈元千, 闫为格. 压降曲线在定容气藏上的应用[J]. 新疆石油地质, 2003, 24(6): 555-558.
[11]	关文龙, 李相方, 李敬松. 凝析气井防治水合物的系统管理方法[J]. 新疆石油地质, 2003, 24(4): 319-321.
[12]	陈元千. 确定异常高压气藏地质储量和可采储量的新方法[J]. 新疆石油地质, 2002, 23(6): 516-519.
[13]	张茂林, 梅海燕, 孙良田, 李士伦, 吴清松. 挥发性油气体系相平衡中的毛细管压力作用[J]. 新疆石油地质, 2002, 23(4): 326-328.
[14]	. 克拉玛依油区勘探仍具潜力[J]. 新疆石油地质, 2000, 21(2): 100-100.
[15]	. 1999年新疆油气勘探开发十大成果[J]. 新疆石油地质, 2000, 21(1): 17-17.