文昌油田调整井防砂优化设计

Journal of Oil and Gas Technology(2012)

Cited 23|Views26
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Abstract
文昌油田投产后部分油井出砂,严重影响油井正常生产及设备维护,新钻调整井防砂难度大。分析了油井防砂失效原因;运用人工神经网络技术预测调整井储层粒度及黏土矿物组分分布规律;以理论设计与出砂模拟试验相结合,对文昌油田调整井防砂方式及防砂参数进行了优化。结果表明:筛管网孔变形导致防砂参数变大、砾石充填尺寸设计不合理以及充填不完整是该区块油井防砂失效的主要原因;通过出砂模拟试验研究,推荐文昌油田新钻调整井使用金属棉优质筛管防砂完井,筛管防砂参数为90~120μm,该防砂方案对文昌油田现场防砂方案的制定具有较大的指导意义。
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Key words
sand control parameter,sand control design,neural network,sand control simulation,sand control failure,adjustment well
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