油田单井可采储量定量预测模型
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邴绍献,男,高级工程师,在读博士研究生,从事油藏工程及油田开发战略研究。联系电话:(0546)8715379,E-mail:bingshaoxian.slyt@ sinopec.com。

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国家科技重大专项“胜利油田特高含水期提高采收率技术”(2011ZX05011)。


Quantitative forecasting model for recoverable reserves of single well
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    摘要:

    利用水驱特征曲线法和递减法等动态方法测算可采储量时,存在时间滞后性,难以及时反映调整井所增加的可采储量。过利用油井单井生产动态指标,应用油藏工程和数理统计等方法,从理论和矿场2方面对单井可采储 量进行研究。结果表明:初始产油量和递减率是影响单井可采储量的主要因素,并根据影响程度确定递减率的主 控因素为油藏类型、单井控制储量、初始含水率、单井产液量以及产液量随含水率变化的程度等,构建主控因素与递减率的相互关系,从而建立了19种单井可采储量预测模型。这些模型涵盖了水驱、稠油热采等开发方式,中高渗透、低渗透等油藏类型,直井和水平井2种井型。应用实例表明,根据新钻井的初始产油量等生产动态指标,能快速、简便地预测单井增加可采储量。

    Abstract:

    Water drive curve and decline curve method for reserves estimation have the problems of time-lagging and hard to reflect the additional reserves increased by adjustment well. By analyzing oil well performance index and applying reservoir engineering and statistics method, it can be found either from theory or field test that the initial rate and decline rate are two main influencing factors for oil well EUR, and the controlling factor for decline rate are reservoir type, single well controlled reserves, initial water content, liquid production and its fluctuation with watercut level. we have correlated decline rate with its’controlling factor and established 19 calculating models for single well EUR which cover reservoir types as water drive, heavy oil, high and low permeability and different well types including straight and horizontal well. An example shows that, using these forecasting models can predict the EUR of new wells promptly and simply with dynamic data such as initial rate.

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邴绍献.油田单井可采储量定量预测模型[J].油气地质与采收率,2013,20(1):85~88

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  • 在线发布日期: 2015-09-21
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