珠江口盆地B油田储量参数概率分布

涂乙; 杨娇; 王秀玲; 万钧

doi:10.11781/sysydz201704573

珠江口盆地B油田储量参数概率分布

doi: 10.11781/sysydz201704573

中海石油(中国)有限公司深圳分公司, 广东深圳 518000

基金项目: 国家科技重大专项“南海东部海域大中型油气田地质特征”（2011ZX05023-006-03）资助。

详细信息

作者简介:
涂乙(1986—),男,硕士,工程师,从事油气开发地质、储量评价及储层建模等研究。E-mail:tuyi200605156@126.com。

中图分类号: TE15
计量
- 文章访问数: 1049
- HTML全文浏览量: 84
- PDF下载量: 379
- 被引次数: 0
出版历程
- 收稿日期: 2017-02-16
- 修回日期: 2017-05-04
- 刊出日期: 2017-07-28

Probability distribution of reservoir parameters in the B oil field, Pearl River Mouth Basin

Shenzhen Branch, CNOOC (China) Ltd., Shenzhen, Guangdong 518000, China

摘要

摘要: 针对珠江口盆地某油田圈闭面积大、构造不规则且井资料少等问题，为了准确获取储量大小、潜力和风险，采用概率法进行储量快速评估是目前最为有效的方法。以B油田Z5油藏为例，考虑到该油藏构造两翼较陡以及中间过渡带较长且井控程度较低，采用面积-厚度-形状因子法构建岩石体积模型，提出根据油藏形状分为N个模块，分模块精细刻画Z5油藏形态，降低构造形态不规则对储量的影响。其中有效厚度、孔隙度采用对数正态分布，含油饱和度采用正态分布，含油面积、体积系数和原油密度均采用单值分布模型，建立各参数概率分布以及储量概率分布模型。结果表明，概算法P_mean储量结果与该油藏确定性方法计算储量规模接近，两者误差不到4%。结合地质参数对储量大小敏感性分析结果，可指导油藏部门进行储量敏感性、经济性、风险和潜力的深入研究，为开发方案与决策的制定提供依据。
- 概率法 /
- 储量参数 /
- 储量计算 /
- 珠江口盆地
Abstract: A block of the Pearl River Mouth Basin has a large trap area, irregular structure and limited well data and thus to get accurate reserve size, potential and risk, the probability method is most effective for rapid reserve assessment. The Z5 reservoir in the B oil field was taken as an example. Considering steep wings, long middle transition zone and the low level of well control, an area/thickness/shape factor method was used to construct a physical model of bulk-volume rock. N modules were divided according to the distribution form of reservoir. The form of Z5 reservoir was precisely described according to each module, which could reduce the influence of irregular structural form on reserve. Logarithmic normal distribution was used to analyze effective thickness and porosity. Normal distribution was chosen for oil saturation. A single value distribution model was adopted to study oil-bearing area, volume coefficient and crude oil density. The probability distribution of various reserve parameters and a reserve probability distribution model were established. The results show that the P_mean reserves of the approximate method were close to those of the deterministic method, and the error between them was less than 4%. Combined with reserve sensitivity analysis results of the geological parameters, the study could guide the studies of reserve sensitivity, economics, risk and potential, and provide a theoretical basis for development plans and decisions.
- probability distribution /
- reserve parameter /
- reserve calculation /
- Pearl River Mouth Basin

HTML全文

参考文献(26)

[1]	陈元千,周翠.中国《页岩气资源/储量计算与评价技术规范》计算方法存在的问题与建议[J].油气地质与采收率,2015,22(1)：1-4. Chen Yuanqian,Zhou Cui.Problems and recommendations for the Regulation of shale gas resources/reserves estimation in China[J].Petroleum Geology and Recovery Efficiency,2015,22(1)：1-4.
[2]	陈元千,周游,李秀峦,等.利用SAGD开采技术预测重质油藏可采储量新方法[J].特种油气藏,2015,22(6):85-89. Chen Yuanqian,Zhou You,Li Xiuluan,et al.A new method of using SAGD exploitation technique to predict the recoverable reserves of heavy oil reservoir[J].Special Oil & Gas Reservoirs,2015,22(6)：85-89.
[3]	杨双,闫相宾,刘志鹏,等.多层圈闭资源量计算方法研究:以两层圈闭为例[J].石油实验地质,2016,38(5):698-702. Yang Shuang,Yan Xiangbin,Liu Zhipeng,et al.Resource calculation methods for multilayer traps:Case study of two-layer traps[J].Petroleum Geology & Experiment,2016,38(5):698-702.
[4]	杜殿发,付金刚,周志海,等.页岩气藏采收率计算方法探讨[J].特种油气藏,2015,22(5):74-77. Du Dianfa,Fu Jingang,Zhou Zhihai,et al.Research on calculation Methodsfor recovery factor of shale gas reservoirs[J]. Special Oil & Gas Reservoirs,2015,22(5)：74-77.
[5]	石创,徐思煌,拜文华,等.湖北及周缘五峰组—龙马溪组页岩气资源潜力[J].特种油气藏,2015,22(6):65-69. Shi Chuang,Xu Sihuang,Bai Wenhua,et al.Shale gas resource potential of Wufeng-Longmaxi Formations in Hubei and its periphery[J]. Special Oil & Gas Reservoirs,2015,22(6)：65-69.
[6]	谢寅符,陈和平,马中振,等.概率法油气储量评估及其与确定法的差异比较[J].石油实验地质,2014,36(1):117-122. Xie Yinfu,Chen Heping,Ma Zhongzhen,et al.Probabilistic estimation of reserves and difference between probabilistic and determine methods[J].Petroleum Geology & Experiment,2014,36(1):117-122.
[7]	Bailey W, Couët B, Lamb F,et al.Taking a calculated risk[J].Oilfield Review,2000(3):20-35.
[8]	Jonkman R M,Bos C F M,Breunese J N,et al.Best practices and methods in hydrocarbon resource estimation,production and emissions forecasting,uncertainty evaluation and decision making[R].SPE 65144,2000.
[9]	贾承造.美国SEC油气储量评估方法[M].北京:石油工业出版社,2004. Jia Chengzao.SEC estimation approach for oil & gas reserves[M].Beijing:Petroleum Industry Press,2004.
[10]	US Securities and Exchange Commission.Compliance and disclosure interpretation:Oil and gas rules[S].Washington,DC:SEC,2013.
[11]	SPE.Canadian oil and gas evaluation handbook,Volume 2[M].Washington,DC:SPE,2005.
[12]	文环明,肖慈珣,李薇,等.蒙特卡洛法在油气储量估算中的应用[J].成都理工学院学报,2002,29(5):487-492. Wen Huanming,Xiao Cixun,Li Wei,et al.Applications of the Monte-Carlo method to the petroleum reserves estimation[J].Journal of Chengdu University of Technology,2002,29(5):487-492.
[13]	黄学斌,李军,闫相宾,等.圈闭资源量参数概率分布及有效性检验[J].石油与天然气地质,2014,35(4):577-584. Huang Xuebin,Li Jun,Yan Xiangbin,et al.Probability distribution of parameters for trap resources assessment and its validation[J].Oil & Gas Geology,2014,35(4):577-584.
[14]	杨振海,程维虎,张军舰.拟合优度检验[M].北京:科学出版社,2011:1-36. Yang Zhenhai,Cheng Weihu,Zhang Junjian.Goodness of fit test[M].Beijing:Science Press,2011:1-36.
[15]	吴义平,田作基,童晓光,等.基于储量增长模型和概率分析的大油气田储量增长评价方法及其在中东地区的应用[J].石油学报,2014,35(3):469-479. Wu Yiping,Tian Zuoji,Tong Xiaoguang,et al.Evaluation method for increase of reserves in large oil-gas fields based on reserves growth model & probability analysis and its application in Middle East[J].Acta Petrolei Sinica,2014,35(3):469-476.
[16]	涂乙,邹海燕,孟海平,等.页岩气评价标准与储层分类[J].石油与天然气地质,2014,35(1):153-158. Tu Yi,Zou Haiyan,Meng Haiping,et al.Evaluation criteria and classification of shale gas reservoirs[J].Oil & Gas Geology,2014,35(1):153-158.
[17]	王代国.致密岩性气藏储量评价和计算方法问题与对策:以鄂尔多斯盆地大牛地气田上古生界气藏为例[J].石油实验地质,2012,34(5):495-498. Wang Daiguo.Problem and countermeasure of reserve estimation and calculation of tight lithologic gas reservoir:A case study in Upper Paleozoic gas reservoir in Daniudi Gas Field of Ordos Basin[J].Petroleum Geology & Experiment,2012,34(5):495-498.
[18]	赵文智,毕海滨.浅析中国与西方在储量计算中确定有效厚度之差异[J].石油勘探与开发,2005,32(3):125-129. Zhao Wenzhi,Bi Haibin.Differences of net pay estimation between China and SEC[J].Petroleum Exploration and Development,2005,32(3):125-129.
[19]	Beha A,Christensen J E,Young R.A general method for the consistent volume assessment of complex hydrocarbon traps[J].Journal of Petroleum Geology,2012,35(1):85-97.
[20]	薛国勤,余强,赵创业,等.SEC准则递减曲线法在储量评估中的应用:以王集油田为例[J].石油实验地质,2012,34(5):531-534. Xue Guoqin,Yu Qiang,Zhao Chuangye,et al.Application of diminishing curve method in SEC standard evaluation of oil and gas reserves:A case study in Wangji Oil Field[J].Petroleum Geology & Experiment,2012,34(5):531-534.
[21]	郑昊,王家华.基于多线程技术的储量分析系统构建[J].西安石油大学学报(自然科学版),2009,24(6):91-94. Zheng Hao,Wang Jiahua.Reserves system building based on the analysis of multi-thread technology[J].Journal of Xi'an Shiyou University (Natural Science Edition),2009,24(6):91-94.
[22]	盛秀杰,金之钧,肖晔,等.圈闭评价中含油气性风险依赖性的概念、方法及应用[J].石油与天然气地质,2015,36(1):154-161. Sheng Xiujie,Jin Zhijun,Xiao Ye,et al.Concept,method and application of geological risk dependency indicating petroleum discovery[J].Oil & Gas Geology,2015,36(1):154-161.
[23]	李洪玺,张培军,代琤,等.美国PRMS与SEC两种油气储量准则差异分析[J].西南石油大学学报(自然科学版),2016,38(5):75-80. Li Hongxi,Zhang Peijun,Dai Cheng,et al.Difference analysis of oil & gas reserve rule between PRMS and SEC in U.S.[J].Journal of Southwest Petroleum University (Science & Techno-logy Edition),2016,38(5):75-80.
[24]	陈元千,郝明强,李飞.油气资源量评估方法的对比与评论[J].断块油气田,2013,20(4):447-453. Chen Yuanqian,Hao Mingqiang,Li Fei.Comparison and review of the estimating methods of oil and gas resources[J].Fault-Block Oil & Gas Field,2013,20(4):447-453.
[25]	景爱霞.准噶尔盆地石油探明储量参数分析[J].石油实验地质,2012,34(5):486-489. Jing Aixia.Analysis of proved reserve parameters of Junggar Basin[J].Petroleum Geology & Experiment,2012,34(5):486-489.
[26]	王静伟,计秉玉,张文彪.基于多因素的油田可采储量不确定性分析[J].中国海上油气,2016,28(4):76-82. Wang Jingwei,Ji Bingyu,Zhang Wenbiao.Uncertainty analysis of oilfield recoverable reserves based on multi-factors[J].China Offshore Oil and Gas,2016,28(4):76-82.