一种利用双源反激的随钻声波测井方法

随钻单极子纵波测井时存在很强的钻铤波的干扰.针对这一问题,提出了一种双源反激随钻声波测井方法,从数据采集环节对钻铤波进行压制;在后续数据处理中结合声波干涉法,从而实现一种无需隔声装置的随钻声波测井方法.理论模拟表明双源反激方法可以有效压制钻铤波,地层波的信噪比也能得到相对增强.对钻铤波压制后的数据进一步用声波干涉法处理可以从中提取地层纵波信息.设计了实验样机,并在空气中进行了实验.结果表明不同工作频率下该方法对钻铤波均有明显的压制效果,即使在5 kHz低频情况下钻铤波也能压制到原来的25%.验证了该方法的可行性.应用该方法的好处是可以避免对钻铤强度的破坏,并能扩展现有随钻声波测井仪纵波测量的工作频带范围.     

双声源激发随钻测井声电耦合波理论模拟

随钻单极源声波测井中,由于钻铤模式波的干扰而使地层纵波速度的测量变得困难.孔隙地层的声电转换物理效应给我们提供了通过测量转换电信号实现声学参数测量的可能性.针对随钻声电测井,采用Pride声电耦合方程组描述井外孔隙地层的声电耦合波场,考虑随钻环境条件下的边界条件,采用实轴积分法计算出了随钻声电测井瞬态响应的波场.计算结果表明,声电转换比与电缆声电测井量级相同,也说明随钻环境下声电效应是可应用的.但是,从得到的电场波形图中可以观察到,钻铤模式波成分虽有压制,但仍然存在.为了削弱钻铤模式波,鉴于钻铤的声波速度已知,我们尝试利用双发射源测井方法,通过控制源间距及合适的发射延迟时间对钻铤模式波进行进一步压制.结果表明,采用双源后的井内转换声场和电场波形中,钻铤模式波被有效地抑制,残余钻铤波的相对振幅明显减小,压制效果在电场波形中尤为明显,地层波的信噪比显著增强,有利于地层纵波速度的提取.     

盐水泥浆条件下定向井双侧向测井环境校正方法研究

在定向井中,双侧向测井数据由于受井眼、围岩、井斜、径向侵入等环境因素的影响,难以准确地估算储层的电阻率和更准确地识别储层流体.本文拟提出图版法和反演法相结合的思路来研究地层视电阻率的校正问题.首先,针对研究区的测井环境和钻井液电阻率,计算了不同尺寸井眼的双侧向测井响应,绘制了井眼校正图版;然后,针对斜度井地层模型,采用三维有限元方法计算了不同井斜、不同厚度地层的测井响应,构建了井斜-围岩/层厚图版,利用该图版实现了井眼校正和井斜-围岩/层厚的电阻率快速校正.最后,针对钻井液侵入的影响,采用反演方法计算了侵入半径和地层真电阻率,最终实现了双侧向测井的环境校正.利用上述理论与方法对海洋中定向井的双侧向测井资料进行了环境校正,提高了储层流体定性识别和定量评价的精度.     

双横波时差法解释天然气层

本文提出用测量横波时差与合成横波时差解释天然气层的方法（简称双横波时差法）,在我国已知天然气藏使用表明,对识别低孔隙碳酸盐岩天然气层具有较高的分辨率。文中讨论了双横波时羞法解释天然气层的基本原理、横波的测量与合成以及评价方法,并给出了解释天然气层的实例。     

椭球雨滴群旋转轴取向对双线偏振多普勒雷达参量影响的计算分析

以椭球粒子的电磁波散射理论为基础, 主要研究椭球雨滴群旋转轴在空间的取向特征, 建立粒子旋转轴空间取向与风场、 雷达天线仰角间的关系。在考虑粒子传输效应的情况下, 分析了旋转轴取向对双线偏振雷达探测参数ZDR和LDR的影响, 为提高双线偏振多普勒天气雷达观测资料的精度提供了理论依据。     

A dual quaternion-based,closed-form pairwise registration algorithm for point clouds

The representation of similarity transformation in three-dimensional (3D) space, especially of orientation, is a crucial issue in navigation, geodesy, photogrammetry, robot arm manipulation, etc. Considering the large amount of computer resources required by iterative algorithms designed for spatial similarity transformation, the high dependence on initial values of unknown parameters, and the instability of solving transformation parameters for large-angle registration, a closed-form solution for pairwise light detection and ranging (LiDAR) point cloud registration is proposed. In this solution, dual-number quaternions are used to represent the 3D rotation. The relationship between the rotation matrix-based representation of similarity transformation and the dual quaternion-based representation is described first. Considering that the same features from two neighboring stations coincide after pairwise registration, a dual quaternion-based error norm, which is associated with the sum of the position errors, is constructed. Based on theory of least squares and by extreme value analysis of the error norm, detailed derivations of the model and the main formulas are obtained. Once the similarities between the same features from the two neighboring LiDAR stations are constructed, the rotation matrix, the scale parameter, and the translation vector are simultaneously derived. Two experiments are conducted to verify the feasibility and effectiveness of the proposed algorithm. The proposed algorithm has the advantages of simplicity and ease of implementation, making it better than the traditional methods that use matrices to describe spatial rotation. Moreover, it solves the transformation parameters without the initial estimates of unknown parameters, making it better than iterative algorithms. Most importantly, in contrast to unit quaternion-based algorithms, the proposed algorithm solves seven unknown parameters simultaneously. Therefore, it effectively avoids the accumulation of introduced error in calculation and the negative impact from the inappropriate choice of initial values.     

A performance comparison of single and dual frequency GPS ambiguity resolution strategies

The impact of observation selection, observation combination and model parameterization on GPS carrier phase ambiguity resolution and position accuracy under operational conditions is investigated. The impact of an ionospheric bias for a generic linear combination of L1 and L2 measurements is assessed and the results are used to clearly outline the desirable characteristics for improving ambiguity resolution versus positioning accuracy performance. Ambiguity resolution performance and position accuracy are shown for widelane (WL), L1-only, and ionospheric-free (IF) combinations. Several techniques for dealing with the ionospheric bias are also presented and compared, including stochastic ionospheric modelling. Multiple carrier phase combination solutions estimated in the same filter are also compared. The concept of an optimal processing strategy—in terms of both reliable ambiguity resolution and high accuracy positions—is presented. In total, eight strategies, which vary in observables and parameters, are tested on several datasets ranging from 13 km to 43 km.     

Spatial and temporal mapping of water in soil by magnetic resonance imaging

Experiments on model and real soil blocks designed to assess the feasibility of using magnetic resonance imaging for three-dimensional mapping of the time-varying spatial distribution of water in structured soils are reported. The results show that, notwithstanding inherent problems in imaging natural soils with a significant iron content, experimental parameters can be identified which allow satisfactory images to be obtained. Magnetic resonance imaging may therefore provide important information on soil structure and water movement in dual porosity soils, with attendant benefits for the calibration of models of non-Darcian flow in such soils.     

双能光子吸收法提高CT衬度(密度)分辨率的研究

目的：提高CT衬度的分辨率，30年来，医学CT经历了原始的第一代CT发展至目前第5代高分辨率CT和高速电子束CT，其成像的空间分辨率和时间分辨率均有明显提高，但CT成像的衬度（密度）分辨率提高并不显著，而衬度分辨率与图像的灰度等级（灰阶）密切相关，是图像清晰度的重要参数。本文对应用双能量光子扫描吸收法以提高CT衬度（密度）分辨率的原理进行分析，并探讨其实际应用的可行性。     

Comparison of three models of dispersion in dual porosity media

The work presented in this paper shows that the probabilistic approach as well as the fractional Brownian motion model are reliable to simulate the dispersion of contaminant in the dual porosity media. Three models were tested on experimental data obtained by tracer tests in chalk characterized by a primary and a secondary porosity: a numerical model (MT3DMS), a probabilistic model based on the Bayesian approach and a fractional Brownian model. By using Einstein’s rule, it is demonstrated that the dispersion coefficient is time dependent and that the dispersion is ballistic which is a particular case of superdiffusion. A test of sensitivity was carried out and shows that the numerical model is slightly suitable to simulate the concentration in time and space for a given discharge starting from the physical parameters obtained by calibration for an other discharge because of the great sensitivity of its parameters according to the hydrodynamic conditions. On the other hand, the variability of the parameters of the two other models does not generate important errors on the values of simulated concentrations when other hydrodynamic conditions are considered.