用于近地表模型构建的智能DAS微孔采集系统:首次成功现场测试的结果

Robert B. Smith, A. Bakulin, I. Silvestrov
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引用次数: 1

摘要

需要精确的近地表速度模型来校正浅层速度非均质性,否则会导致地震数据的错误解释,特别是在低起伏构造的情况下。在这里,我们展示了一种利用分布式声学传感(DAS)技术的新型微孔采集系统如何以多种不同的方式用于生成近地表模型。新型智能DAS井眼系统通过一根连续光纤连接多口浅井。光纤的水平段和垂直段允许使用同一系统测试几种近地表模型构建技术。微井测量使用垂直光纤段进行精确的局部速度测量,而DAS光纤的指向性使水平段可以用于折射层析成像和表面波反演。智能DAS微孔采集系统首次成功进行了测试,该系统可以同时收集深度反射成像和近地表表征数据。从10个智能DAS微孔中获取的数据为拾取和随后的速度模型构建提供了出色的早期到达波形质量。这种近地表的直接测速可以减少地震解释中的不确定性。此外,用DAS微孔模型代替深度速度模型的浅层部分,可以显著改善最终的地形深度图像。DAS的指向性可以记录水平光纤截面上的折射事件,这些折射事件被选为折射层析成像的输入。这产生了另一种近地表模型,可以捕获更大的地下体积。最终,虽然微孔速度模型只适用于去除近地表变化的长波长分量,但折射速度模型可能允许对中小波长静校正。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart DAS Uphole Acquisition System for Near-Surface Model Building: Results from the First Successful Field Tests
Accurate near-surface velocity models are required to correct for shallow velocity heterogeneities that can otherwise lead to the misinterpretation of seismic data, particularly in the case of low-relief structures. Here we show how a novel uphole acquisition system utilizing distributed acoustic sensing (DAS) technology can be used in a number of different ways to generate near-surface models. The novel smart DAS uphole system connects multiple shallow wells with one continuous optical fiber. The horizontal and vertical segments of the fiber allow several techniques for near-surface model building to be tested using the same system. Uphole surveys use the vertical fiber segments to make accurate, localized velocity measurements, while the directivity of the DAS fiber enables horizontal sections to be used for refraction tomography and surface-wave inversion. The smart DAS uphole acquisition system, which enables the collection of data for deep reflection imaging and near-surface characterization simultaneously, has been successfully tested for the first time. Data acquired from ten smart DAS upholes produced excellent early arrival waveform quality for picking and subsequent velocity model building. This direct velocity measurement of the near-surface can reduce uncertainty in the seismic interpretation. In addition, replacing the shallow part of the depth velocity model with the DAS uphole model resulted in significant improvements in the final depth image from topography. The directivity of DAS enables the recording of refracted events on horizontal fiber sections which have been picked as input to refraction tomography. This produces an alternative near-surface model that captures a larger volume of the subsurface. Ultimately, while the uphole velocity model is only suitable for removing long-wavelength components of near-surface variation, the refraction velocity model may allow for the correction of small-to-medium wavelength statics.
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