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Constrained inversion of gravity data over the Ovoid and Mini-Ovoid in the Voisey's Bay Ni-Cu-Co deposit, Labrador

机译:拉布拉多Voisey湾Ni-Cu-Co矿床中Ovoid和mini-Ovoid的重力数据受约束反演

摘要

The Voisey's Bay Nickel-Copper-Cobalt deposit provides a unique opportunity to test the latest minimum-structure gravity inversion program developed by the University of British Columbia-Geophysical Inversion Facility (UBC-GIF). The success of generating geologically meaningful results depends on the inherent uncertainty and spatial properties of the raw gravity data set, and on the statistical properties and spatial distribution of the rock density data. The objective of this study is to examine the effects of the initial survey configuration and the knowledge of subsurface parameters on the refinement of the inversion models. Density models derived using geostatistical methods can be assigned weights which reflect model confidence and spatial correlations. The spatial distribution of the borehole samples and the developed geostatistical models control the lateral and vertical resolution of the inversion. -- The constraints applied in the gravity inversion were in the form of data from a significant number of drill holes penetrating the Ovoid and Mini-Ovoid. From these, refined models of the depth of the overburden and of the density distribution within the body were developed. To explore the utility of gravity inversion as a forecasting and planning tool, inversions were constrained using density models derived from 50%, 25% and 5% of the original number of drill logs. Reasonable models of the Ovoid were obtained when the thickness of the overburden was constrained. The inversion results indicate that incorporating drill log information into the inversion process, early in a drilling program, can improve our knowledge of the subsurface density distribution.
机译:Voisey的海湾镍-铜-钴矿床提供了独特的机会来测试由不列颠哥伦比亚大学地球物理反演设施(UBC-GIF)开发的最新最小结构重力反演程序。产生具有地质意义的结果的成功取决于原始重力数据集的固有不确定性和空间特性,以及岩石密度数据的统计特性和空间分布。这项研究的目的是检验初始调查配置的影响以及地下参数知识对反演模型细化的影响。可以为使用地统计方法导出的密度模型分配权重,这些权重可以反映模型的置信度和空间相关性。钻孔样品的空间分布和开发的地统计学模型控制反演的横向和纵向分辨率。 -在重力反演中施加的约束条件是来自大量贯穿卵形孔和微型卵形孔的钻孔数据的形式。由此,开发了覆盖层深度和人体内部密度分布的精确模型。为了探索重力反演作为预测和计划工具的实用性,使用密度模型来限制反演,密度模型是从原始钻探数量的50%,25%和5%得出的。当覆盖层的厚度受到限制时,可获得合理的卵形模型。反演结果表明,在钻探程序的早期将钻探日志信息纳入反演过程中,可以提高我们对地下密度分布的认识。

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    Ash Michael R.;

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  • 年度 2007
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