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Direct Detection of Buried Orebodies Using Gradiometry

机译:使用梯度法直接检测埋藏的矿体

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The routine use of gravity gradiometry for the detection of orebodies with no outcrop is nowrnbeing undertaken. The commodities and orebody styles range from banded iron ore formationsrnto volcanogenic massive sulfi de (VMS) style polymetallic deposits. This recent innovation of fl yingrngravity gradiometry was pioneered by BHP Billiton and Lockheed Martin with the Falcon technologyrn(Lee, 2001), and now two additional systems, also using Lockheed Martin instruments, are deployed.rnIn South Africa, magnetic gradiometry is being developed and deployed with the same objectives inrnmind. In this case, a system from Institute of Photonic Technology (IPHT) is being used.rnThe detectable wavelengths from such systems have decreased to less than 200 m in the last year,rnand it is expected in 2011 that wavelengths to less than 100 m, with anomaly signal strengths of lessrnthan 2 Eotvos for gravity gradiometry will be viable.rnThe key to these advances lies in the improvements of processing software and geological modelling.rnIn particular, methods using all the tensor components are starting to be routinely deployed to fi lter,rnlevel and grid the observed signal. These methods do, however, require full insight and understandingrnof the reference coordinate systems used by the various instrument designers and survey operators.rnThe digital terrain models need also to be observed to an accuracy of better than 20 m cell sizes, usingrnsuch techniques as Lidar. Then the terrain effects can be modelled.rnThe topographic surface represents the largest and most proximal density contrast encountered inrnan airborne survey. Hence terrain effects can have signifi cant impact on airborne gravity gradiometryrndata. A decorrelation of the terrain effect with the observed signal requires a method of best fi ttingrnwith a regional surface density. A novel technique has been developed for this purpose. This techniquernuses a tensor algebra to estimate a density between 1 - 4 g/cc that explains the average observedrnsignal. Armed with this result, the anomalous buried bodies can be revealed by subtraction.
机译:现在正在进行重力梯度仪的常规使用,以检测没有露头的矿体。商品和矿体类型从带状铁矿石形成到火山成块的大块硫(VMS)型多金属矿床不等。必应必拓(BHP Billiton)和洛克希德·马丁(Lockheed Martin)借助Falcon技术(Lee,2001)率先开发了这种飞行重力梯度仪的创新技术,现在又部署了两个同样使用洛克希德·马丁公司仪器的系统。部署具有相同目标的想法。在这种情况下,将使用光子技术研究所(IPHT)的系统。rn去年,此类系统的可检测波长已降至200 m以下,rn并预计在2011年该波长将降至100 m以下,重力梯度小于2 Eotvos的异常信号强度将是可行的。这些进展的关键在于处理软件和地质建模的改进。特别是,使用所有张量分量的方法已开始逐步应用于过滤,将观察到的信号电平化并网格化。但是,这些方法确实需要对各种仪器设计人员和测量操作员所使用的参考坐标系有充分的了解和理解。使用Lidar等技术,还需要以高于20 m的像元大小的精度观察数字地形模型。然后可以对地形影响进行建模。地形表面代表了在空中航空勘测中遇到的最大和最接近的密度对比。因此,地形效应可能对机载重力梯度数据产生重大影响。地形效应与观测信号的去相关需要一种具有区域表面密度的最佳拟合方法。为此目的已经开发了一种新颖的技术。该技术使用张量代数来估计1-4 g / cc之间的密度,这可以解释平均观察到的信号。有了这个结果,就可以通过减法来揭示异常的掩埋体。

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