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怀俄明州拉勒米山脉花岗岩含水层中测井核磁共振的水力传导率校准

Hydraulic Conductivity Calibration of Logging NMR in a Granite Aquifer, Laramie Range, Wyoming.

作者信息

Ren Shuangpo, Parsekian Andrew D, Zhang Ye, Carr Bradley J

机构信息

Department of Geology and Geophysics, University of Wyoming, 1000 E. University Ave, Laramie, WY.

出版信息

Ground Water. 2019 Mar;57(2):303-319. doi: 10.1111/gwat.12798. Epub 2018 Jun 13.

Abstract

In granite aquifers, fractures can provide both storage volume and conduits for groundwater. Characterization of fracture hydraulic conductivity (K) in such aquifers is important for predicting flow rate and calibrating models. Nuclear magnetic resonance (NMR) well logging is a method to quickly obtain near-borehole hydraulic conductivity (i.e., K ) at high-vertical resolution. On the other hand, FLUTe flexible liner technology can produce a K profile at comparable resolution but requires a fluid driving force between borehole and formation. For three boreholes completed in a fractured granite, we jointly interpreted logging NMR data and FLUTe K estimates to calibrate an empirical equation for translating borehole NMR data to K estimates. For over 90% of the depth intervals investigated from these boreholes, the estimated K are within one order of magnitude of K . The empirical parameters obtained from calibrating the NMR data suggest that "intermediate diffusion" and/or "slow diffusion" during the NMR relaxation time may occur in the flowing fractures when hydraulic aperture are sufficiently large. For each borehole, "intermediate diffusion" dominates the relaxation time, therefore assuming "fast diffusion" in the interpretation of NMR data from fractured rock may lead to inaccurate K estimates. We also compare calibrations using inexpensive slug tests that suggest reliable K estimates for fractured rock may be achieved using limited calibration against borehole hydraulic measurements.

摘要

在花岗岩含水层中,裂缝可为地下水提供储存空间和通道。表征此类含水层中的裂缝水力传导率(K)对于预测流速和校准模型很重要。核磁共振(NMR)测井是一种在高垂直分辨率下快速获取近井眼水力传导率(即K)的方法。另一方面,FLUTe柔性衬管技术可以在相当的分辨率下生成K剖面,但需要井眼与地层之间的流体驱动力。对于在裂隙花岗岩中完成的三个钻孔,我们联合解释了测井NMR数据和FLUTe K估计值,以校准将钻孔NMR数据转换为K估计值的经验方程。对于这些钻孔所研究的超过90%的深度区间,估计的K值与实际K值在一个数量级范围内。通过校准NMR数据获得的经验参数表明,当水力孔径足够大时,在流动的裂缝中可能会在NMR弛豫时间内发生“中间扩散”和/或“缓慢扩散”。对于每个钻孔,“中间扩散”主导弛豫时间,因此在解释裂隙岩石的NMR数据时假设“快速扩散”可能会导致K估计值不准确。我们还比较了使用廉价的活塞试验进行的校准,结果表明,通过对井眼水力测量进行有限的校准,可以获得裂隙岩石可靠的K估计值。

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