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Test of rock physics models for prediction of seismic velocities in shallow unconsolidated sands: a well log data case

机译:岩石物理模型测试以预测浅松散砂土中的地震速度:测井数据案例

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This paper tests the ability of various rock physics models to predict seismic velocities in shallow unconsolidated sands by comparing the estimates to P and S sonic logs collected in a shallow sand layer and ultrasonic laboratory data of an unconsolidated sand sample. The model fits are also evaluated with respect to the conventional model for unconsolidated sand. Our main approach is to use Hertz-Mindlin and Walton contact theories, assuming different weight fractions of smooth and rough contact behaviours, to predict the elastic properties of the high porosity point.rnUsing either the Hertz-Mindlin or Walton theories with rough contact behaviour to define the high porosity endpoint gives an over-prediction of the velocities. The P-velocity is overpredicted by a factor of ~1.5 and the S-velocity by a factor of ~1.8 for highly porous gas-sand. The degree of misprediction decreases with increasing water saturation and porosity.Using the Hertz-Mindlin theory with smooth contact behaviour or weighted Walton models gives a better fit to the data, although the data are best described using the Walton smooth model. To predict the properties at the lower porosities, the choice of bounding model attached to the Walton Smooth model controls the degree of fit to the data, where the Reuss bound best captures the porosity variations of dry and wet sands in this case since they are caused by depositional differences.rnThe empirical models based on lab experiments on unconsolidated sand also fit the velocity data measured by sonic logs in situ, which gives improved confidence in using lab-derived results.
机译:本文通过将估算值与在浅砂层中收集的P和S声波测井的估算值以及未固结砂样品的超声实验室数据进行比较,来测试各种岩石物理模型预测浅层固结砂岩地震速度的能力。相对于未固结砂的常规模型,还评估了模型拟合。我们的主要方法是使用Hertz-Mindlin和Walton接触理论(假设光滑和粗糙接触行为的重量分数不同)来预测高孔隙率点的弹性。n使用具有粗糙接触行为的Hertz-Mindlin或Walton理论来定义高孔隙率端点会过度预测速度。对于高度多孔的气砂,P速度被高估了约1.5倍,S速度被高估了约1.8倍。错误预测的程度随着水饱和度和孔隙度的增加而降低。使用具有光滑接触行为的赫兹-密德林理论或加权Walton模型可以更好地拟合数据,尽管可以使用Walton光滑模型来更好地描述数据。为了预测较低孔隙率的特性,可以选择与Walton Smooth模型相连的边界模型来控制对数据的拟合程度,在这种情况下,Reuss边界最好地捕获了干燥和湿沙的孔隙率变化,因为它们是由基于沉积差异的实验室模型的经验模型也拟合了通过声波测井仪原位测量的速度数据,从而提高了使用实验室得出的结果的信心。

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