Applicability of a Backprojection Algorithm to Reconstruct Images of Subsurface Horizontal Planes for Laboratory Experiments in Electrical Resistance Tomography

This paper describes the use of a backprojection algorithm to reconstruct subsurface images of the electrical resistivity in horizontal planes parallel to the surface. The algorithm can be applied to detect buried objects such as tanks or pipes and possible leakages from them. Two imaging strategies are compared: juxtaposition of vertical planes, and 3D reconstruction from the sensitivity matrix corresponding to the entire volume whose surface is explored. The electrode arrays used for voltage measurement are the dipole–dipole array and a modified Schlumberger array. A personal computer controls current injection, electrode switching, and voltage detection. The system injects 1 kHz, 20 V peak-to-peak square waveforms, thus avoiding electrode polarization effects. Experimental laboratory measurements show that the algorithm detects localized objects such as an insulating sphere and a conductive cylinder immersed in water. Furthermore, covering half of the cylinder by a rubber sleeve to simulate a nonconductive leak, yields a distinct image for the leak. The backprojection algorithm does not need any regularization parameter and it is very fast in inverting the sensitivity matrix because it approximates the inverse matrix by its transposed. The dipole–dipole array usually yields a lower overall pixel error than the modified Schlumberger array but both allow the detection of simulated underground leaks.     

参量阵浅地层剖面的处理方法及在识别浅层天然气水合物中的应用

近年来,参量阵浅地层剖面以其简便的野外采集方式、高分辨率的浅部地层成像能力,迅速发展为海底浅层天然气水合物探测的有效方法。为了更好地获取东海浅层天然气水合物赋存区的地质信息,针对参量阵浅地层剖面数据开展了精细化处理。首先将异常振幅压制和空间振幅均衡等方法有机结合,解决了数据中的各种噪音和能量不均衡等问题,然后利用Hilbert变换提高地层分辨率,最后利用信号增强技术进一步提高同相轴连续性,获得了波组特征更清晰的地震剖面。处理后的参量阵浅地层剖面具有信噪比较高、连续性好、地层结构清晰等特点,可以更好地揭示空白带、气烟囱、亮点和火焰状异常等地震反射特征,为识别浅层天然气水合物赋存区地质信息奠定基础。对精细处理后的数据进一步开展曲率属性、瞬时振幅属性、相干属性等地震属性分析,结果显示,与浅层天然气水合物渗漏相关的声学异常能够被清晰地识别出来。此项研究一方面验证了参量阵浅地层剖面数据处理方法的可行性,另一方面也探索了属性分析技术在海底浅层天然气水合物识别方面的应用。     

大视场面阵数字航摄仪检测关键技术探讨

针对常规室内检校场无法满足大视场面阵数字航摄仪检测的问题,文章提出了一种适合此类航摄仪检校的野外检校场的建立方法,通过对检校场控制点布设方案设计、适合影像识别的地标形状设计和地标点三维坐标的精确测定方案研究,实现了检测场内控制点的高精度测量:建立适合大面阵数字航空摄影仪几何误差改正的数学模型,并通过多摄站拍摄足够数量的检校场影像,自动识别并测定每幅影像上全部地标点的影像坐标,用最小二乘平差计算间接求出相机的内方位元素和各项畸变参数,最后通过多组检测参数对比,验证了数学模型及其参数的可靠性与稳定性。     

基于TRMM/PR的长江下游地基雷达一致性订正

不同雷达观测相同目标的反射率因子差异会影响雷达组网应用效果,对无波束阻挡的X波段雷达而言,这种差异主要由雷达定标偏差和信号衰减引起,其中衰减包含降水导致的衰减以及天线罩水膜导致的衰减。为了订正定标偏差、天线罩水膜衰减以及降水衰减,设计了一个基于相控阵雷达组网的订正方法。首先,将天线罩水膜导致的衰减看作定标偏差的一部分,使用组网衰减订正算法做初次衰减订正;然后,通过构建一个雷达网观测偏差函数,使用梯度下降法求解各雷达之间的定标偏差;最后,将订正了定标偏差的原始反射率因子再次使用组网衰减订正算法进行二次衰减订正。对上述订正方法,用于广东省佛山市7部X波段相控阵天气雷达探测的一次冷空气降水过程进行检验。结果显示,传统的PIA (Path-integrated attenuation)算法订正结果与广州S波段天气雷达观测结果相关系数为0.53,均方根误差为9.0 dB, 而该算法这两项数值分别为0.64和8.4 dB,优于PIA;在台风外围的局地强降水过程中也得到了相同的结论。

     

地震序列较强余震灰色及最小二乘拟合预测方法的应用研究

在收集、整理1966年～2002年8月我国(主要为大陆地区)183个5级以上地震序列资料的基础上，应用灰色预测和最小二乘拟合预测方法，对每一地震序列较强(显著)余震发震时间进行“硬性”检验预测。结果表明，2种预测方法对7级以上地震序列和6级地震序列的较强(显著)余震具有较好的预测效能，预测效能分别为76．2％和64．7％；而对5级地震序列预测效果则不甚明显。因此，灰色预测和最小二乘拟合预测方法主要着眼于对大(强)地震的较强(显著)余震预测，可望在地震现场大(强)震应急工作中发挥积极作用。     

Remnants of the amalgamation of the east and west Cathaysia blocks revealed by a short-period dense nodal array

The Cathaysia block located at the southeast South China block (SCB) is considered formed by the amalgamation of the east and west Cathaysia blocks along the Gaoyao–Huilai and Zhenghe–Dapu deep faults (here referred as GHF and ZDF, respectively). Although the extension of the ZDF to the northeast, which represents the amalgamation of the two sub-blocks has been confirmed, the development of the GHF to the southwest remains to be verified. To better constrain the detailed deep structure beneath the southwest Cathaysia, which hold great significance for revealing the evolution of the SCB, a linear seismic array with 331 nodal geophones was deployed across the Sanshui basin (SSB). Combining with the regional 10 permanent stations (PA), we obtained two profiles with teleseismic P-wave receiver function stacking. The most obvious feature in our results is the ascending Moho towards the coastal area, which is consistent with the passive margin continental and extensional tectonic setting. The stacking profile from the dense nodal array (DNA) shows that the Moho is offset beneath the transition zone of the Nanling orogeny and SSB. We deduce that this offset may be casued by the deep extension of the GHF, which represents the remnants of the amalgamation of the Cathaysia block. From the other evidences, we infer that the widespread and early erupted felsic magmas in the SSB may have resulted from lithospheric materials that were squeezed out to the surface. The relative higher Bouguer gravity and heat flow support the consolidation of magmas and the residual warm state in the shallow crustal scale beneath the SSB. The sporadic basaltic magmas in the middle SSB may have a close relation to deep extension of the GHF, which serves as a channel for upwelling hot materials.     

一种基于特征子空间的多用户盲分离算法

提出了一种基于特征子空间的多用户盲分离算法。算法首先估计出信号源的导向矢量,然后再利用ESB算法进行波束形成,解决了当存在多个用户时权值收敛于单一用户的问题,可以在不知道信号先验知识的情况下对来自不同方向上的独立信号进行有效的分离。算法不需要进行繁琐的Gram—Schmidt正交化处理,并且在盲分离信号的基础上还可以估计出信号的波达方向。计算机仿真结果表明,分离出来的信号与源信号的相关系数均大于0．99,证实了算法的有效性。     

低渗透储层的径向电阻率特征及含油性——以鄂尔多斯盆地洛河油田延长组长61为例

鄂尔多斯盆地中部洛河油田长61低渗透油层由于含油饱和度变化大、油层非均质强,再加淡水钻井液侵入,造成油层电阻率径向分布不均且变化大。通过双感应-八侧向测井与阵列感应测井响应特征对比分析,认为水层的径向电阻率均为增阻侵入,油层、油水同层的径向电阻率普遍具有减阻侵入、低阻环带、高阻环带特征或相关趋势。其中,减阻侵入有助于识别高含油饱和度、高电阻率油层和油水同层,低阻环带和高阻环带有助于识别低电阻率油水同层。另外,部分油水同层的双感应-八侧向测井径向电阻率组合具有“增阻侵入”且深感应电阻率低的特征,推测可能是受双感应-八侧向测井探测范围限制,为低阻环带靠近井眼附近遭受淡水钻井液侵入影响的结果,深感应测井反映的是侵入带电阻率而不是油水同层的电阻率,容易被误解释为水层。因此,对于双感应-八侧向测井中具有“增阻侵入”特征且深感应电阻低值的储层,其流体性质有水层、油水同层这两种可能性,需要结合深探测测井资料或油藏地质特征进一步分析,以提高油层、水层的识别率。