王金凤, 郑力会, 韩子轩, 邓金根. 用多元回归法预测水基绒囊钻井液当量静态密度[J]. 石油钻采工艺, 2012, 34(2): 33-36.
引用本文: 王金凤, 郑力会, 韩子轩, 邓金根. 用多元回归法预测水基绒囊钻井液当量静态密度[J]. 石油钻采工艺, 2012, 34(2): 33-36.
WANG Jinfeng, ZHENG Lihui, HAN Zixuan, DENG Jin’gen. Prediction of equivalent static density of water-based fuzzy ball drilling fluids with multiple regression method[J]. Oil Drilling & Production Technology, 2012, 34(2): 33-36.
Citation: WANG Jinfeng, ZHENG Lihui, HAN Zixuan, DENG Jin’gen. Prediction of equivalent static density of water-based fuzzy ball drilling fluids with multiple regression method[J]. Oil Drilling & Production Technology, 2012, 34(2): 33-36.

用多元回归法预测水基绒囊钻井液当量静态密度

Prediction of equivalent static density of water-based fuzzy ball drilling fluids with multiple regression method

  • 摘要: 由于地层温度、压力的影响,预测水基钻井液井下当量静态密度比较困难。水基绒囊钻井液的囊核包裹一定量气体,温度和压力不仅影响基液密度,而且影响囊核体积,使得井下当量静态密度变化规律更加复杂。室内研究首先用PVT实验仪测定密度为0.85 g/cm3的无固相绒囊钻井液在1~20 MPa、30~130 ℃下的密度,然后利用多元回归法处理测定的220个密度数据点,建立绒囊钻井液不同井深时的井下静态密度预测模型。此模型相关系数0.96、相对误差小于5%,可信度高。用该模型计算2 500 m井深时绒囊钻井液密度与磨80-C1试验井实际测量结果比较,相对误差小于4%,表明此模型可预测井下水基绒囊钻井液的当量静态密度。

     

    Abstract: Being affected by formation temperature and fluid column pressure, it is difficult to predict the equivalent static density (ESD) of water-based drilling fluids. It is more difficult to predict the downhole ESD variation law of water-based fuzzy ball drilling fluid due to the ball cores wrapping a certain amount of gas, making the formation temperature and fluid column pressure affect not only the density of based liquid, but also the volume of ball cores. A downhole ESD prediction model for fuzzy ball drilling fluids in different well depths is established by firstly performing a laboratory PVT experiment to test the density of the solid-free fuzzy ball drilling fluid with standerd state density of 0.85 g/cm3, under the pressure range of 1~20 MPa and the temperature range of 30~130 ℃, and then processing the 220 density data points with the multiple regression method. The correlation coefficient is 0.96 and the relative error is below 5%, and the reliability is high. There is a 4% difference between the density calculated by the model at the depth of 2500 m and the actual measurement result in M80-C1 test well, indicating that this model can be used in downhole ESD prediction.

     

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