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Field-Data-Based Prediction of Well Productivity Decline Due to Sulphate Scaling

机译:基于现场数据的硫酸盐结垢导致油井生产率下降的预测

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The system where sulphate scaling damage occurs is determined by two governing parameters: the kinetics coefficient characterising the velocity of chemical reaction and the formation damage coefficient reflecting permeability decrease due to salt precipitation. We derived an analytical model-based method for determination of kinetics and formation damage coefficients from production well data consisting of barium concentrations in the produced water and of well productivity decline. We analyse production data for five scaled-up producers from giant offshore field A, submitted to seawater flooding (Campos Basin, Brazil) in order to predict productivity index and to plan the well stimulation program. The wells are completed by gravel packs. Complete mixing of sea- and formation waters in production well neighbourhoods in the reservoir under consideration was assumed in previous works. Using this assumption, quasi steady state model for reactive flow around production well is formulated. We obtained values of the two sulphate scaling damage parameters. The two coefficient values were used for prediction of productivity decline for these wells. Both coefficient values as determined for five wells are inside the variation intervals for scale damage coefficients obtained from coreflood data. It allows concluding that the productivity damage in wells under investigation was caused by sulphate scaling and validates the mathematical model. It also permits to perform a reliable prediction of well productivity. The values for kinetics and formation damage coefficients as obtained from well and laboratory data are recommended for use in reservoir modelling of sulphate scaling. Sulphate scaling can have a disastrous impact on oil production in waterflood projects with incompatible injected and formation waters. This is due to precipitation of barium / strontium sulphate from the mixture of both waters and the consequent permeability reduction resulting in loss of well productivity.
机译:发生硫酸盐结垢损害的系统由两个控制参数确定:表征化学反应速度的动力学系数和反映由于盐沉淀引起的渗透率降低的地层损害系数。我们从生产井数据中得出了一种基于动力学模型和动力学的分析模型,用于确定动力学和地层破坏系数,该数据包括采出水中钡浓度和井生产率的下降。我们分析了来自巨型海上油田A的五个规模扩大的生产商的生产数据,这些数据已提交给海水泛滥(巴西卡姆波斯盆地),以预测生产率指标并计划油井增产计划。井由砾石充填完成。在先前的工作中,假设正在考虑将储层中生产井附近的海水和地层水完全混合。使用该假设,为生产井周围的反应流建立了准稳态模型。我们获得了两个硫酸盐结垢损伤参数的值。这两个系数值用于预测这些井的生产率下降。为五个井确定的两个系数值都在从岩心驱替数据获得的水垢破坏系数的变化区间内。它可以得出结论,所研究井的生产率损害是由硫酸盐结垢引起的,并验证了数学模型。它还允许对油井产能进行可靠的预测。从井和实验室数据获得的动力学和地层破坏系数值建议用于硫酸盐结垢的油藏建模。在注入水和地层水不相容的水驱项目中,硫酸盐结垢可能会对石油生产造成灾难性影响。这是由于钡/硫酸锶从两种水的混合物中沉淀出来,从而导致渗透率降低,从而导致油井生产率下降。

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