井眼图像与WEB AVO综合反演在深部储层裂缝预测中的应用

A. Pascarella, P. Vegt, C. Leo, M. Zhang, P. Doulgeris, P. Haffinger
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引用次数: 0

摘要

深层致密储层是油气和地热产业的重要开发目标。裂缝在这类储层的生产中起着关键作用,因此裂缝识别至关重要。在这次演讲中,我们分析了基于波动方程的AVO (WEB-AVO)反演输出的BHI裂缝表征结果与弹性特性之间的潜在相关性。WEB-AVO反演的独特之处在于它直接反演可压缩性和剪切顺应性(体积模量和剪切模量的逆)。虽然这些参数已经成功地用于碳氢化合物的勘探和生产以及二氧化碳的地下储存,但在这里,我们将测试它们在地热勘探中的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integration Borehole Image and WEB AVO inversion for fracture prediction in deep reservoirs
Summary Deep and tight reservoirs are an important target for both Oil and Gas and Geothermal Industries. Fractures have a key role for producing from such reservoirs and therefore fracture identification is essential.In this talk we analyse the potential correlation between BHI fracture characterization results and elastic properties as output by wave-equation based AVO (WEB-AVO) inversion. WEB-AVO inversion is unique in the sense that it directly inverts for compressibility and shear compliance (inverses of bulk and shear moduli). While those parameters are already successfully used for exploration and production of hydrocarbons as well as for underground storage of CO2, here we will test their usefulness in the context of geothermal exploration.
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