2020 Vol. 29, No. 4
Article Contents

YAN Guan-shan, LIU Zong-bin, SONG Hong-liang, HAN Xue-fang, WANG Xin-ran. EFFECT OF VERTICAL SUBDIVISION OF COMPUTING UNITS ON RESERVE PARAMETERS AND RESULTS OF MULTILAYER STRUCTURAL RESERVOIR[J]. Geology and Resources, 2020, 29(4): 342-350. doi: 10.13686/j.cnki.dzyzy.2020.04.006
Citation: YAN Guan-shan, LIU Zong-bin, SONG Hong-liang, HAN Xue-fang, WANG Xin-ran. EFFECT OF VERTICAL SUBDIVISION OF COMPUTING UNITS ON RESERVE PARAMETERS AND RESULTS OF MULTILAYER STRUCTURAL RESERVOIR[J]. Geology and Resources, 2020, 29(4): 342-350. doi: 10.13686/j.cnki.dzyzy.2020.04.006

EFFECT OF VERTICAL SUBDIVISION OF COMPUTING UNITS ON RESERVE PARAMETERS AND RESULTS OF MULTILAYER STRUCTURAL RESERVOIR

  • For precise exploitation of oilfield in the middle-late stage and further adjustment and potential tapping, it is urgent to carry out more detailed study on reserves, among which the most important is vertical subdivision of computing units. For multilayer structural reservoir, the vertical subdivision is based on the distribution characteristics of interlayers and physical properties of single layer within the oil formation, taking single layers or layer combination with similar distribution characteristics or physical properties and continuously distributed vertically as computing units. According to the theoretical deduction of reserve optional parameters before and after the vertical subdivision of computing units, combined with the sedimentary distribution characteristics of reservoir, it is considered that when there is no reservoir pinch-out within the oil-bearing area, only the average effective thickness of reservoirs with large difference in the plane reservoir thickness are reduced. In the case that the reservoir is pinching out, the reservoir parameters of normal delta sedimentary reservoirs generally decrease; while the average effective thickness of braided river delta sedimentary reservoir decreases, and the average effective porosity and average oil saturation increases. The conclusions can effectively guide the vertical subdivision of computing units in reserves evaluation and provide technical support for the study of precise reserves in similar oilfields.

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  • [1] 赵文智, 高瑞祺, 胡素云, 等.对我国油气储量规范修订工作的思考[J].新疆石油地质, 2005, 26(2):221-225.

    Google Scholar

    [2] 朱筱敏, 董艳蕾, 杨俊生, 等.辽东湾地区古近系层序地层格架与沉积体系分布[J].中国科学(D辑:地球科学), 2008(S1):1-10.

    Google Scholar

    [3] 樊太亮.层序地层体制中的陆相储层发育规律[J].地学前缘, 2000, 7(4):315-321.

    Google Scholar

    [4] 邓宏文, 王洪亮, 翟爱军, 等.中国陆源碎屑盆地层序地层与储层展布[J].石油与天然气地质, 1999, 20(2):108-114.

    Google Scholar

    [5] 刘忠保, 吕奇奇, 罗顺社, 等.进、退积型辫状河三角洲沉积模拟实验研究[C]//第十三届全国古地理学及沉积学学术会议.北京: 中国矿物岩石地球化学学会岩相古地理专业委员会, 2014.

    Google Scholar

    [6] 符勇, 黄礼, 白玉彬, 等.靖边油田L区块长6油层组沉积特征[J].地质与资源, 2019, 28(1):49-56.

    Google Scholar

    [7] 薛艳霞, 廖新武, 霍春亮, 等.海上河流相储层应用地质模型计算储量的不确定性分析[J].油气藏评价与开发, 2018, 8(4):1-5, 10.

    Google Scholar

    [8] 刘吉余, 隋新光, 于润涛, 等.地质储量精细计算方法研究[J].海洋地质动态, 2003, 19(9):31-34.

    Google Scholar

    [9] 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.

    Google Scholar

    [10] 张玲, 魏萍, 肖席珍. SEC储量评估特点及影响因素[J].石油与天然气地质, 2011, 32(2):293-301.

    Google Scholar

    [11] 李定军.概率统计法在储量估算中的应用[J].断块油气田, 2014, 21(5):615-618.

    Google Scholar

    [12] 张雪峰, 罗安湘, 惠潇, 等.基于层区带刻度区地质特点的资源评价方法适用性分析[J].地质科技情报, 2016, 35(4):59-65.

    Google Scholar

    [13] 李伟, 鲁雪松, 柳少波, 等.随机模拟在油气资源评价中的应用[J].断块油气田, 2013, 20(4):443-446.

    Google Scholar

    [14] 中华人民共和国国土资源部. DZ/T 0217-2005石油天然气储量计算规范[S].北京: 中国标准出版社, 2005.

    Google Scholar

    [15] 中华人民共和国国家质量监督检验检疫总局, 中国国家标准化管理委员会. GB/T 19492-2004石油天然气资源/储量分类[S].北京: 中国标准出版社, 2004.

    Google Scholar

    [16] 赵文智, 毕海滨.论储量评估中的单元划分[J].石油与天然气地质, 2007, 28(3):309-314.

    Google Scholar

    [17] 金之钧, 张金川.油气资源评价方法的基本原则[J].石油学报, 2002, 23(1):19-23.

    Google Scholar

    [18] 毕海滨, 查全衡, 王永卓.提高储量评估水平的三大地质要素[J].石油学报, 2004, 25(1):25-29.

    Google Scholar

    [19] 周永炳, 刘国志, 俞静.大庆低渗透油藏探明储量面积圈定的几点认识[J].岩性油气藏, 2007, 19(4):111-115.

    Google Scholar

    [20] 杨通佑, 范尚炯, 陈元千, 等.石油及天然气储量计算方法[M].北京:石油工业出版社, 1990.

    Google Scholar

    [21] 黄文华, 郭瑞, 周伯玉, 等.准噶尔盆地风城地区油砂矿勘探评价[J].新疆石油地质, 2017, 38(2):144-148.

    Google Scholar

    [22] 中国石油天然气总公司. SY/T 5782-1993砂岩透镜体岩性油藏储量计算细则[S].北京: 石油工业出版社, 1994.

    Google Scholar

    [23] 欧阳健, 王贵文, 吴继余, 等.测井地质分析与油气层定量评价[M].北京:石油工业出版社, 1999.

    Google Scholar

    [24] 欧阳健.油藏中饱和度-电阻率分布规律研究——深入分析低电阻油层基本成因[J].石油勘探与开发, 2002, 29(3):44-47.

    Google Scholar

    [25] 陈清华, 杨超, 王秀玲, 等.基于储层构成单元的油气储量计算方法[J].西安石油大学学报(自然科学版), 2008, 23(2):32-34.

    Google Scholar

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