Leveraging semantic search and advanced analytics to map studies on overpressure mechanisms across the globe

P. Tempone, S. Merten, S. V. Puijvelde, M. Shkrob, F. V. D. Broek
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Abstract

Summary Knowing which overpressure mechanisms are likely to occur in basins can improve the ability to predict abnormal pressures and can thus provide vital information to better manage exploration and drilling risks. Overpressure formation has been studied extensively in the scientific literature, however narrowing down publications to relevant results and linking these publications to a position on the globe in a systematic way can be difficult and time-consuming. In this study, we used semantic search and advanced analytics to screen over 120,000 reviewed and georeferenced publications for mentions of overpressure formation to a basket of ~1100 publications and subsequently analysed results for temporal and spatial trends, allowing the pore pressure specialist to focus on studying data to assess the implications and risk instead of spending time searching for relevant information and data.
利用语义搜索和高级分析来绘制全球超压机制的研究图
了解盆地中可能发生的超压机制可以提高预测异常压力的能力,从而为更好地管理勘探和钻井风险提供重要信息。科学文献对超压形成进行了广泛的研究,然而,将出版物的范围缩小到相关结果,并以系统的方式将这些出版物与地球上的某个位置联系起来,可能是困难和耗时的。在这项研究中,我们使用语义搜索和高级分析来筛选超过120,000篇提到超压形成的评论和地理参考出版物,然后分析结果的时空趋势,使孔隙压力专家能够专注于研究数据以评估影响和风险,而不是花费时间搜索相关信息和数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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