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所在平台: Udemy |
课程主页: https://www.udemy.com/course/prospect-maturation-seismic-interpretation-for-hydrocarbon/
课程评论：没有评论
**课程名称：** 储层成熟：油气勘探地震解释 **课程概述：** 本课程“储层成熟：油气勘探地震解释”为期全面介绍地震解释的科学，侧重于利用先进的地球物理技术和机器学习来成熟油气勘探目标。该课程专为地学学生、研究人员、早期职业专业人士以及勘探地球物理学家或地质学家设计，旨在为学习者提供当前油气行业中使用的基础知识和前沿工具。 课程将从理解地震解释工作流程开始，涵盖从识别构造和地层圈闭到评估其勘探前景的各个环节。随后，课程将深入探讨关键的地球物理属性，如幅度随偏移距变化（AVO）、直接烃类指示（DHIs）、频谱分解、几何属性以及更多相关方法。这些工具对于描述储层、识别被遗漏的油层以及降低勘探风险至关重要。 本课程的独特之处在于其实践性和对地球科学中机器学习应用的介绍。学习者将探索如何利用机器学习进行地震相分类、模式识别和预测建模，以增强勘探目标的评估。 无论您的目标是支持勘探决策、降低风险，还是仅仅扩展您的技术技能，本课程都将提供在能源行业推进职业生涯所需的技能和见解。课程无需编码经验，只需要学习者的好奇心以及地质学或地球物理学的背景知识。
This course offers a comprehensive journey through the science of seismic interpretation, focusing on hydrocarbon prospect maturation using advanced geophysical techniques and the power of machine learning. Designed for geoscience students, researchers, early-career professionals, and exploration geophysicists or geoscientists, this course equips learners with both foundational knowledge and cutting-edge tools used in the oil and gas industry today.You will start by understanding the seismic interpretation workflow-from identifying structural and stratigraphic traps to evaluating their prospectivity. The course then dives into key geophysical attributes such as Amplitude Variation with Offset (AVO), Direct Hydrocarbon Indicators (DHIs), spectral decomposition, geometric attributes, and many more related methods. These tools are essential for characterizing reservoirs, identifying bypassed pay zones, and reducing exploration risk.A unique aspect of this course is its practical and introduction to machine learning applications in geoscience. You'll explore how ML can be used for seismic facies classification, pattern recognition, and predictive modeling to enhance prospect evaluation.Whether you are aiming to support exploration decisions, reduce risk, or simply broaden your technical skills, this course provides the skills and insights needed to advance your career in the energy sector. No coding experience is required-just curiosity and a background in geology or geophysics.
