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Using marine resistivity to map geotechnical properties: a case study in support of dredging the Panama Canal

机译:利用海洋电阻率绘制岩土特性地图:以疏the巴拿马运河为例的案例研究

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The distribution of subbottom geotechnical strength properties within the Panama Canal are needed to help with the Canal's expansion. Core data already exist in the Canal, including lithological/strati-graphical descriptions and qualitative measurements of rock hardness. These data have been acquired within the Canal during previous expansion activities conducted over the past 60 years. Alone, the core data can be used to estimate rock hardness at unsampled locations using geostatistical methods. However, to help reduce uncertainty in the interpolation of rock hardness, a spatially continuous electrical resistivity survey was conducted to provide a better means of bridging information between cores. Although no direct causative link between rock hardness and resistivity exists, it was thought that the resistivity would be dependent upon jointly influencing parameters that comprise the geome-chanical attributes of the rock, in this case porosity. For example, tuff generally had lower hardness and lower resistivity values compared to andesite and differences in porosity of these rock types would help explain the trend. When considering the resistivity in this geologic context, the spatial interpolation of rock hardness showed better agreement with measured data at sampled locations compared to methods that did not consider any geological context (including kriging of core data or a polynomial regression model between resistivity and rock hardness). Additionally, it is believed that full three-dimensional inverse modelling of the resistivity data helped to correctly resolve the location of low-resistivity features that could have been detected as off-line effects in two-dimensional processing algorithms. With these results, it is anticipated that the costs of dredging could be reduced by the simple fact that necessary resources can be anticipated for some of the harder rock types.
机译:需要巴拿马运河内的地下岩土强度特性分布,以帮助运河扩展。运河中已经存在核心数据,包括岩性/地层描述和岩石硬度的定性测量。这些数据是在过去60年中进行的先前扩张活动中在运河内获得的。单独使用岩心数据可以使用地统计方法估算未采样位置的岩石硬度。但是,为帮助减少岩石硬度插值过程中的不确定性,进行了空间连续电阻率调查,以提供一种更好的桥接岩心之间信息的方法。尽管在岩石硬度和电阻率之间不存在直接的因果关系,但人们认为电阻率将取决于共同影响参数的因素,这些参数包括岩石的地质力学属性,在这种情况下为孔隙度。例如,凝灰岩与安山岩相比通常具有较低的硬度和较低的电阻率值,这些岩石类型的孔隙率差异将有助于解释这种趋势。与不考虑任何地质情况的方法(包括岩心数据的克里金法或电阻率和岩石硬度之间的多项式回归模型)相比,在这种地质情况下考虑电阻率时,岩石硬度的空间插值与采样位置处的实测数据显示出更好的一致性。 )。另外,据信,电阻率数据的完整三维逆建模有助于正确解析低电阻率特征的位置,而该低电阻率特征在二维处理算法中可能已被检测为离线效应。有了这些结果,可以预见的是,由于可以为某些较硬的岩石类型预料到必要的资源这一简单事实,可以减少疏costs的成本。

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