| 1. | Bottomhole producing pressure
井底生产压力 |
| 2. | Bottomhole pressure survey
井底测压 |
| 3. | A methematical model for 3d analysis of general bottomhole assembly under small deflection and its application
通用下部钻具三维小挠度静力分析的数学模型及应用 |
| 4. | This opens a new way to predict bottomhole pressure of under - balanced wells using the artificial neural networks method
这为实际应用中使用人工神经网络方法预测欠平衡钻井系统井底压力开辟了一个新途径。 |
| 5. | This paper introduces the development situation , basic concepts and mathematical model of bottomhole pressure about under - balanced drilling technology
较详细地论述了欠平衡钻井技术的发展概况,基本概念和井底压力的数学模型。 |
| 6. | This paper is aimed at looking for a method using the theories and technology of artificial neural network to predict the bottomhole pressure of under - balanced wells
本文旨在寻求一种利用人工神经网络理论与技术,预测欠平衡钻井井底压力的方法。 |
| 7. | The retrograde condensation impact tends to be unavoidable because the phenomenon that bottomhole producing pressure is lower than dew point pressure is easy to be found in productivity well test
而在产能试井中很容易出现井底流压低于露点压力的情况，因此反凝析现象不可避免。 |
| 8. | The prediction of bottomhole pressure is very important during petroleum exploring and drilling . it can provide the support and guarantee for the safe and effective performance of under - balanced drilling
在石油勘探及钻井过程中,对井底压力预测显得十分重要,它可为欠平衡钻井的安全和有效实施提供保证。 |
| 9. | On the basis of above work , the neural network model of bottomhole pressure during under - balanced drilling is established , including determining network structure by using empirical method , adjusting the network weight using study algorithm
在此基础上,建立了欠平衡钻井井底压力的神经网络模型,包括用经验方法确定网络结构,用学习算法调整网络的权值。 |
