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Logging Data Application in Sanding prediction in Kelamayi Oilfield

机译:测井数据在克拉玛依油田三叠系预测中的应用

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The Logging data of Kelamayi Oilfield are used to calculate the rock mechanical parameters, such as cohesion, angle of internal friction, elastic modulus, Poisson ratio and maximum level principal stress in this paper. Then the methods of sand factor, combination modulus, acoustic time and Schlumberger are applied to forecast sanding and calculate the critical drawdown pressure. Calculation results show that the possibility of Kexia Formation sand production is high. This research results provide quantitative basis for defining sand production in this block and the nearby, and guidance for reasonable formation of oil well work system.
机译:本文利用克拉玛依油田的测井资料计算出岩石力学参数,如内聚力,内摩擦角,弹性模量,泊松比和最大水平主应力。然后将出砂因子,组合模量,声波时间和斯伦贝谢方法应用到预测出砂中并计算出临界压降压力。计算结果表明,克夏组出砂的可能性很高。该研究结果为确定该区块及附近地区的出砂量提供了定量依据,并为合理形成油井作业系统提供了指导。

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