层状介质中重力,地震联合反演的迭代算法

本文提出一种用于层状介质中重力、地震资料联合反演层速度、层密度及弯曲界面深度的迭代算法。该方法通过引入加权最小平方目标泛函,将层状介质中的重力、地震资料联合反演问题转化成具体的优化问题。为了得到反问题的最优解,文中系统地研究了层状介质中双摄动处理技术,以及层状介质中波场摄动的一阶 Born 近似解与理论重力异常摄动解。并应用 Tarantola 的反演理论,导出了梯度算子的计算公式。然后应用最速下降法给出了求取最优解的具体算法,得到了一种类似于地震偏移与空间更投影的迭代反演方法。对理论模型进行重力、地震联合反演的结果表明,该方法不仅可碱少未知参数的个数,提高反演的收敛速度,而且可减少反演的不适定性,不失为一种可行的多参数反演方法。     

Monitoring water quality in reservoirs with IRS-1A-LISS-I

An attempt has been made to quantify the relationship between the variation in IRS-IA-LISS-I (Indian Remote Sensing Satellite-1A Linear Imaging Self-Scanning System) radiance data and field measured change in secchi disc depth. Secchi disc depth was measured for 47 predetermined sampling locations on reservoir surface water. At extinction depth (secchi depth), water samples were collected from all the sampling locations. Suspended sediments of eight locations representing various reaches of the reservoir were selected for mineralogical, particle size and optical properties analysis. The LISS-I radiance value in band 1 (0.45–0.52µm) band 2 (0-52–0.59 µm) and band 3 (0.62–0.68 µm) were used in a regression analysis. The absorption infrared band 4 (0.77–0.86 µm) was not included in the analysis. In these, the dependable variable was secchi depth (SD) and the LISS-I-radiance data was the estimator variable. Forty-seven data sets of 20 October 1988 from Tawa reservoir surface water were used to obtain an estimator equation for SD. The verification of the estimator equation was tested by applying it to a data set of 21 measurements of 28 September 1988 for this reservoir. The coefficient of correlation between observed and estimated values for the 28 September 1988 data set wasr=0.92 for SD, indicating that the equation could accurately predict the water clarity (SD) for this reservoir on new occasions from IRS-IA-LISS-I spectral data. It is shown that mineral composition and optical properties of suspended sediments influence the reflected radiance of water quality. It is concluded that IRS-IA-LISS-I data provide a useful means of mapping water quality in reservoir.     

Target differentiation with simple infrared sensors using statistical pattern recognition techniques

This study compares the performances of various statistical pattern recognition techniques for the differentiation of commonly encountered features in indoor environments, possibly with different surface properties, using simple infrared (IR) sensors. The intensity measurements obtained from such sensors are highly dependent on the location, geometry, and surface properties of the reflecting feature in a way that cannot be represented by a simple analytical relationship, therefore complicating the differentiation process. We construct feature vectors based on the parameters of angular IR intensity scans from different targets to determine their geometry and/or surface type. Mixture of normals classifier with three components correctly differentiates three types of geometries with different surface properties, resulting in the best performance (100%) in geometry differentiation. Parametric differentiation correctly identifies six different surface types of the same planar geometry, resulting in the best surface differentiation rate (100%). However, this rate is not maintained with the inclusion of more surfaces. The results indicate that the geometrical properties of the targets are more distinctive than their surface properties, and surface recognition is the limiting factor in differentiation. The results demonstrate that simple IR sensors, when coupled with appropriate processing and recognition techniques, can be used to extract substantially more information than such devices are commonly employed for.     

复杂山区静校正方法研究及效果

对于山区地震勘探，开展静校正研究是资料处理的主要问题之一。静校正精度与剖面质量密切相关，准确的静校正取决于合理的方法和正确的应用。本文在分析了复杂山区特点以及静校正难点的基础上，指出要解决好山区静校正，仅限于普通的方法是远远不够的，必须从四个关键点人手，即风化层延迟时的求取、基准面的确定、校正速度的研究以及表层模型的建立等。本文对上述问题的研究做了介绍，展示了合成延迟时法十等效速度模型反演十变速浮动基准面（地震参考面）静校正等综合技术在太行山区（山西沁源、大寨）、伊J；1丘陵山区等复杂地表区应用的例子。显著的处理效果表明，严重的山区静校正问题得到了较好的解决，满足了地下构造的叠加成像，提高了勘探精度及其整体效果。     

LTN-72惯导设备在空间遥感器航空校飞中的应用

介绍了一种用于空间遥感器航空校飞的LTN-72惯导参数采集与传输装置。该装置能模拟星上数据管理系统(OBDH)传递包括校飞时间和全部LTN-72惯导参数在内的辅助数据,并具有输出检测信号和自检显示功能。装置经实际校飞使用,效果良好。     

多频电磁波测井数据的反演成像技术及应用

针对测井数据反演成像问题的不适应定性，采用了带不等式约束的正则化最小二乘迭代反演，模型响应的正演计算用有限元方法实现，模型响应对电阻率及介电常数的偏导数用格林函数和互换原理计算，对高低频电磁波测井数据的反演分两步进行，首先用低频数据得到电阻率的大致分布，再以此为初值，用高频电磁波数据同时反演电阻率和介电常数，通过对模型的数值模拟和某地热田1口井的实际资料的应用表明，电磁波测井数据的反演厉像能给出井周近旁介质的电性参数分布，而在离井较远的区域不能得到稳定可靠的解释结果，无论高频还是低频测井数据，要得到高质量的成像结果，工作频率的适当选择及接收器灵敏度的提高是至关重要的。     

地震相控非线性随机反演研究与应用

 在地震相模型控制下，通过原始数据将各个单一反演问题转化为一个联合反演问题，可降低反演在描述参数几何形态时的单个反演问题的自由度，从本质上提高地球物理反演的效果。本文在计算过程中采用了非线性随机反演算法，能有效提高地震资料的分辨率，并充分考虑地质条件的随机特性，使反演结果更符合实际地质情况。在胜利、中原油田等地区的储层预测中，应用本文方法均取得了良好的效果，为岩性油气藏勘探提供了可靠基础数据。     

川东二叠系生物礁油气藏的地震勘探技术

 生物礁油气藏是一种特殊的岩性油气藏，由于其地质特点的多样性和复杂性，使得生物礁的地震勘探难度很大。本文针对川东地区二叠系生物礁的地质特点和资料情况，以生物礁气藏为研究对象，从已知井井震响应特征分析出发，通过地震反射结构分析、神经网络波形分类处理、地震属性分析、三维可视化解释、多参数地震反演等多项地震特殊处理和解释方法，建立了生物礁和生物礁储层的判别模式，形成了有针对性的地震勘探配套技术。其中以伽马、补偿中子及声波为目标曲线的多参数地震反演技术对于预测和评价生物礁特别有效。     

初至波走时层析成像中的正则化方法

 波场的等效性、观测数据的有限性和观测误差等因素导致地球物理反演本身具有严重的多解性，降低这种多解性的一种重要途径就是对反演过程进行约束。传统的初至波走时层析成像方法，通常是在外部对模型空间施加显式的约束和平滑处理，这样就会破坏模型参数与传播算子之间的相关性，难以达到有效利用先验信息的目的, 甚至会影响反演的稳定性。针对这一问题，本文将先验信息分为三类，在此基础上阐述了通过正则化手段将各种先验信息纳入到反演方程当中，替代传统的外部约束模式。理论试验结果表明，正则化方法比外部约束方法有效地提高了反演的精度和分辨率；将该正则化方法应用于实际二维资料处理，也得到了比较好的反演结果。