地震钻孔钻井人员的岩石地层测井:在加拿大西北部发掘了丰富的区域地球科学信息

GeoResJ Pub Date : 2015-06-01 DOI:10.1016/j.grj.2015.01.005
I. Rod Smith
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引用次数: 5

摘要

地震钻孔钻井人员的测井记录了在钻孔放置炸药时所遇到的近地表(平均18.6米深)岩石地层。这些记录提供了大量未被认识到的地球科学信息,这些信息在其他方面可能知之甚少。这项研究储存在石油勘探和地震采集公司的基本档案中,首先使公司相信这些数据的潜在用途,然后恢复硬拷贝和数字扫描记录(纸张、胶片、缩微胶片),并将其转化为数字数据库和GIS。最终数据库的343,989条记录提供了加拿大西北部同类地球科学信息的最大来源,并且在许多情况下包含了许多主题的独特和原始记录,包括地表、基岩、水文地质、永久冻土和地质灾害。钻井人员的测井记录已进一步用于创建漂移、till、muskeg、大块冰和地面冰厚度的地理空间模型,并继续应用于新的研究途径,如近海浅海环境中底部冰范围的时间变化。加拿大地质调查局公开文件报告可免费下载,并提供常用的数据库和GIS文件格式,这项数据救援工作保留并极大地增强了日益被丢弃的企业数据集,这些数据集具有未被认识到的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Seismic shothole drillers’ lithostratigraphic logs: Unearthing a wealth of regional geoscience information in northwestern Canada

Seismic shothole drillers’ logs, record the near-surface (avg. 18.6 m deep) lithostratigraphy encountered when drilling holes to place explosive charges. These records offer a largely unrecognized wealth of geoscience information in areas for which little may be otherwise known. Stored in the Basic Files archives of petroleum exploration and seismic acquisition companies, this study first convinced companies of the potential utility of this data, then recovered the hard copy and digitally scanned records (paper, fiche, microfilm) and rendered these into a digital database and GIS. The final database of 343,989 records provides the largest source of geoscience information of its kind in northwestern Canada, and in many cases contains unique and original records on a host of subjects including surficial-, bedrock-, and hydro-geology, permafrost, and geohazards. The drillers’ log records have further been used to create geospatial models of drift, till, muskeg, massive ice and ground ice thicknesses, and continue to be applied to new avenues of research such as temporal variations of bottomfast ice extents in offshore shallow marine environments. Published in freely downloadable Geological Survey of Canada Open File reports and providing commonly used database and GIS file formats, this data rescue exercise preserves and greatly enhances what was becoming an increasingly discarded corporate data set of unrecognized potential.

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