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单井累产油主控因素探究及剩余油分布预测

Analysis on main controlling factors of single-well cumulative oil production and prediction of remaining oil distribution

  • 摘要: 单井累产油及剩余油分布预测是油田开发及调整挖潜的核心指标,当前数值模拟法、递减法、类比法等预测方法存在资源消耗大、应用限制多、不确定性强等问题。该文旨在明确单井累产油主控因素,建立简便可靠的累产及剩余油预测方法,为油田生产指导提供支撑。通过建立地质与开发因素对单井累产油的影响机理模型,设计正交试验分析各因素影响,明确主控因素后,提出不同井型有效井控半径计算方法,构建累产及剩余油预测模型。研究结果表明,有效井控半径是单井累产油主控因素,模型应用于陆丰X油田时,预测误差约5%,成功预测2处剩余油富集区,指导部署的调整井初产达190~223 m3/d。矿场结果验证了该方法简便可靠,可有效指导油田剩余油挖潜。

     

    Abstract: The prediction of single-well cumulative oil production and remaining oil distribution is a core index for oilfield development and potential tapping and development adjustment. At present, existing prediction methods such as numerical simulation method, decline method and analogy method have problems such as high resource consumption, many application restrictions and high uncertainty. This paper aims to identify the main controlling factors of single-well cumulative oil production, establish a simple and reliable method for predicting cumulative oil production and remaining oil, and provide support for oilfield production guidance. By establishing a mechanism model of the influence of geological and development factors on single-well cumulative oil production, designing orthogonal experiments to analyze the influence of each factor, and identifying the main controlling factors, calculation methods for effective well control radius of different well types are proposed, and a prediction model for cumulative oil production and remaining oil is constructed. The research results show that the effective well control radius is the main controlling factor of single-well cumulative oil production. When the model is applied to Lufeng X Oilfield, the prediction error is about 5%, which successfully predicts 2 remaining oil enrichment areas, and the initial production of adjustment wells guided by the model reaches 190~223 m3/d. Field application results verify that the method is simple and reliable, and can effectively guide the tapping of remaining oil in oilfields.

     

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