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Evaluation of intrinsic velocity-pressure trends from low-pressure P-wave velocity measurements in rocks containing microcracks

机译:通过含微裂纹岩石的低压P波速度测量评估本征速度-压力趋势

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摘要

Dependent on the ‘intrinsic’ effects on the crystal lattice of the rock constituents and the diminishing ‘extrinsic’ effects of pores and microcracks, elastic wave velocity versus pressure trends in cracked rocks are characterized by non-linear velocity increase at low pressure. At high pressure the ‘extrinsic’ influence vanishes and the velocity increase becomes approximately linear. Usually, the transition between non-linear and linear behaviour, the ‘crack closure pressure’, is not accessible in an experiment, because actual equipment is limited to lower pressure. For this reason, several model functions for describing velocity—pressure trends were proposed in the literature to extrapolate low-pressure P-wave velocity measurements to high pressures and, in part, to evaluate the ‘intrinsic’ velocity—pressure trend from low-pressure data. Knowing the ‘intrinsic’ velocity trend is of particular importance for the quantification of the crack influence at low pressure, at high pressure, the ‘intrinsic’ trend describes the velocity trend as a whole sufficiently well. Checking frequently used model functions for suitability led to the conclusion that all relations are unsuitable for the extrapolation and, if applicable, the estimation of the ‘intrinsic’ velocity trend. However, it can be shown that the ‘intrinsic’ parameters determined by means of a suitable model function, the zero pressure velocity and the pressure gradient depend on maximum experimental pressure in a non-linear way. Our approach intends to obtain better estimates of particular parameters from observed non-linear behaviour. A converging exponential function is used to approximate particular trends, assuming that the point of convergence of the function represents a better estimate of the zero pressure velocity and the pressure gradient, respectively. Whether the refined ‘intrinsic’ velocity trend meets the ‘true intrinsic’ velocity trend within acceptable errors cannot be proven directly due to missing experimental data at very high pressure. We, therefore, conclude that our approach cannot ensure absolutely certain ‘intrinsic’ velocity trends, however, it can be shown that the optimized trends approximate the ‘true intrinsic’ velocity trend better as all the other relations do.
机译:取决于岩石成分晶格的“本征”效应和孔隙和微裂纹的“本征”效应的减弱,裂化岩石的弹性波速度与压力趋势的特征在于低压下的非线性速度增加。在高压下,“外在”影响消失,速度增加变得近似线性。通常,在实验中无法获得非线性和线性行为之间的过渡,即“裂纹闭合压力”,因为实际设备仅限于较低的压力。因此,文献中提出了几种描述速度-压力趋势的模型函数,以将低压P波速度测量值推算为高压,并部分评估低压的“本征”速度-压力趋势。数据。知道“固有”速度趋势对于量化低压,高压裂纹影响尤为重要,因此“固有”趋势可以很好地描述整个速度趋势。检查常用的模型函数是否适用,得出的结论是,所有关系都不适合外推,如果适用,还应估算“固有”速度趋势。然而,可以证明,通过适当的模型函数确定的“固有”参数,零压力速度和压力梯度以非线性方式取决于最大实验压力。我们的方法旨在从观察到的非线性行为中获得对特定参数的更好估计。假设函数的收敛点分别代表对零压力速度和压力梯度的更好估计,则使用收敛指数函数来近似特定趋势。由于在非常高的压力下缺少实验数据,因此无法直接证明精炼的“本征”速度趋势是否在可接受的误差范围内满足“真实内在”速度趋势。因此,我们得出的结论是,我们的方法不能确保绝对确定的“内在”速度趋势,但是可以证明,与其他所有关系一样,优化后的趋势更好地接近“真实内在”速度趋势。

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