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1.
一种油藏储层三维可视化散乱数据插值方法 总被引:1,自引:0,他引:1
提出一种快捷有效的确定待估点的有效样本点集的辐射吸收插值模型,该模型应用到散乱数据网格化过程中,它不但具有加权平均算法的优点,而且具有插值效率高、局部性好、易于控制、易于对数据增加约束条件等特点.辐射吸收插值模型由辐射过程、吸收过程和合成过程组成.讨论了辐射吸收插值模型的实现原理、设计过程、在油藏储层三维可视化散乱数据插值中的应用和模型特点的分析. 相似文献
2.
形态滤波算法在油井测量数据处理中的应用 总被引:1,自引:0,他引:1
为了提高加速度信号的测量精度 ,在数学形态学的基础上 ,采用形态滤波的组合平均算法对加速度信号进行数字滤波 ,结果表明 ,这种方法既滤除了加速度信号的干扰 ,又保持了加速度信号的原始形状特征 相似文献
3.
封隔器对油管螺旋屈曲的影响分析 总被引:3,自引:0,他引:3
油管的螺旋屈曲对封隔器有严重的影响。本文将管柱分为在封隔器附近的空间梁柱段和与约束管壁连续接触的屈曲构形段,通过、分析求解管柱屈曲后所满足的四阶强非线性常微分方程,考虑管柱的固支端部边界条件和连续条件,得到了屈曲管柱变形的解析解。进而得到了管柱在封隔器附近的内力等。所得解析结果与Sorenson的数值结果一致。 相似文献
4.
油气水三相流动不同流型摩擦阻力的实验研究 总被引:1,自引:1,他引:0
采用双流体模型,将油水混合物作为非牛顿流体,重点进行了间歇流的摩擦阻力计算分析,并在管径45mm、水平放置圆管的实验台架上对不同流型的油气水三相流动的摩擦阻力进行了计算和测量.结果表明,间歇流摩擦阻力计算式与实验测量结果基本一致,进一步改进后可用于工程计算和运行检测;水平管内油气水三相流动摩擦阻力特性受折算气速、折算液速以及含油率等因素的影响较大 相似文献
5.
目的观察手性旋光异构体德氮吡格(TNBG)对6株人体肿瘤细胞增殖的影响,初步探讨其抗肿瘤作用机制。方法运用MTT法检测手性TNBG对6株肿瘤细胞生长抑制情况;油红O染色法观察QGY-7701细胞中脂质聚集情况;流式细胞仪检测手性TNBG对人肝癌细胞株QGY-7701细胞周期分布和凋亡影响。结果手性TNBG能不同程度抑制肿瘤细胞增殖,且呈剂量依赖性;油红O染色提取显示QGY-7701细胞内脂质量与给药剂量呈正相关;流式细胞仪检测到有s期细胞增加,并且手性TNBG还能诱导QGY-7701细胞发生凋亡。结论手性TNBG在体外具有良好的抗肿瘤活性,其抗肿瘤作用机制可能是通过促使肿瘤细胞产生脂质聚集,抑制肿瘤细胞增殖、诱导其凋亡从而达到抗肿瘤效应。总体看(+)TNBG体外抗肿瘤活性比(-)TNBG更强。 相似文献
6.
气顶油藏在开发过程中经常遇到气窜问题,研究气窜对改善油气田开发效果具有重要意义.凝析气顶油藏气窜特征与常规气顶气窜不同,凝析气顶气窜不仅表现为气油比和累产气量升高,其采出油组成和密度等特征都发生了较大变化,因此在气窜量分析和计算时要采用不同的方法.在常规气顶气窜量计算法的基础上,推导了适用于凝析气顶气窜量的气油比动态计算方法.通过实例进行了凝析气顶气窜量的计算.并与密度动态法比较,验证了该法的可靠性. 相似文献
7.
于跃 《齐齐哈尔大学学报(自然科学版)》2009,25(3)
介绍了一种新型的起重机支腿结构,该结构采用焊接方式,具有重量轻,承载能力高,外观质量好,制造工艺简单,安装方便等优点. 相似文献
8.
《高技术通讯(英文版)》2024,30(3):322-332
Magnetic-liquid double suspension bearing(MLDSB)is a new type of suspension bearing based on electromagnetic suspension and supplemented by hydrostatic supporting.Without affecting the electromagnetic suspension force,the hydrostatic supporting effect is increased,and the real-time coupling of magnetic and liquid supporting can be realized.However,due to the high rotation speed,the rotor part produces eddy current loss,resulting in a large temperature rise and large ther-mal deformation,which makes the oil film thickness deviate from the initial design.The support and bearing characteristics are seriously affected.Therefore,this paper intends to explore the internal effects of eddy current loss of the rotor on the temperature rise and thermal deformation of MLDSB.Firstly,the 2D magnetic flow coupling mathematical model of MLDSB is established,and the eddy current loss distribution characteristics of the rotor are numerically simulated by Maxwell software.Secondly,the internal influence of mapping relationship of structural operating parameters such as input current,coil turns and rotor speed on rotor eddy current loss is revealed,and the changing trend of rotor eddy current loss under different design parameters is explored.Thirdly,the eddy cur-rent loss is loaded into the heat transfer finite element calculation model as a heat source,and the temperature rise of the rotor and its thermal deformation are simulated and analyzed,and the influ-ence of eddy current loss on rotor temperature rise and thermal deformation is revealed.Finally,the pressure-flow curve and the distribution law of the internal flow field are tested by the particle image velocimetry(PIV)system.The results show that eddy current loss increases linearly with the in-crease of coil current,coil turns and rotor speed.The effect of rotational speed on eddy current loss is much higher than that of coil current and coil turns.The maximum temperature rise,minimum temperature rise and maximum thermal deformation of the rotor increase with the increase of eddy current loss.The test results of flow-pressure and internal trace curves are basically consistent with the theoretical simulation,which effectively verifies the correctness of the theoretical simulation.The research results can provide theoretical basis for the design and safe and stable operation of magnetic fluid double suspension bearings. 相似文献
9.
Xiaohang Ren;Wenting Jiang;Qiang Ji;Pengxiang Zhai; 《Journal of forecasting》2024,43(7):2809-2821
In this paper, we propose a novel imaging method to forecast the daily price data of West Texas Intermediate (WTI) crude oil futures. We use convolutional neural networks (CNNs) for future price trend prediction and obtain higher prediction accuracy than other benchmark forecasting methods. The results show that images can contain more nonlinear information, which is beneficial for energy price forecasting. Nonlinear factors also have a strong influence during drastic fluctuations in crude oil prices. In the robustness tests, we find that the image-based CNN is the most stable approach and can be applied in various futures forecasting scenarios. In the prediction of low-frequency models for high-frequency data, the CNN method still retains considerable predictive power, indicating the possibility of transfer learning of our novel approach. By unleashing the power of the picture, we open up a whole new perspective for forecasting future energy trends. 相似文献
10.
Gongyue Jiang;Gaoxiu Qiao;Lu Wang;Feng Ma; 《Journal of forecasting》2024,43(6):2378-2398
From the cross-market perspective, this paper investigates crude oil volatility index (OVX) forecasts by proposing a hybrid method, which combines the data-driven SVR technique and parametric models. In terms of parametric models, we utilize GARCH-type models with jumps, and the forecasting effects of five non-parametric jumps (including interday and intraday jump tests) of stock market are also explored. Empirical results show that our approach can substantially increase forecasting accuracy. In addition, the model confidence set test and robust test reaffirm the superiority of the novel hybrid method. From the assessment of economic significance, the advantages of the hybrid method for volatility index forecasting are further confirmed. All these findings imply that jumps of stock market can be helpful in forecasting OVX, especially after the introduction of the hybrid method. Our work can certainly provide a new insight for volatility forecasting and cross-market research. 相似文献