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基于测井多参数的复杂储层岩性综合识别 被引量:12

Complex Reservoirs Lithology Recognition Based on Multi-parameter
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摘要 受多期不同类型构造、沉积、成岩的作用,MA凹陷芦草沟组岩性复杂多样。通过分析已知测井资料和取心岩性的对应关系,建立该区测井相—岩相蛛网模式库,利用灰色关联理论对MA凹陷18口井储层进行岩性自动识别,其对应的364块实验取心薄片结果分析对比,其中各岩性的符合率均达到80%,实现了对多种测井信息集成和综合分析,达到了用定量参数形象反映定性问题的目的,提高了复杂储层岩性识别的精度。 The different types of multi-phase structures, deposition and diagenesis result in the complexity and diversity of Lucaogou formation lithology in MA. Through analyzing the relation between log data and core lithology, establish ia the log facies-lithofacies cobweb model base. Gray correlation theory is used to realize automatic recognition of lithology in the MA depression's in 18 wells, and comparatively analyses the lithology about the 18 wells 364 pieces of experimental coring slices, result of which shows the lithology coincidence rate has reached 80%, so improving the precision of complex reservoir lithology recognition.
出处 《测井技术》 CAS CSCD 2015年第1期48-51,共4页 Well Logging Technology
关键词 测井解释 岩性识别 交会图 蛛网图 灰色关联 复杂储层 log interpretation well logging interpretation lithology identification crossplot cobweb diagram gray correlation complex reservoir
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