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A log-based method for fine-scale evaluation of lithofacies and its applications to the Gulong shale in the Songliao Basin,Northeast China
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作者 Weilin Yan Chunyan Wang +6 位作者 Shujun Yin Zheng Wen Jiandong Zheng Xiuli Fu Zhou Feng Zhaoqian Zhang Jianhua Zhu 《Energy Geoscience》 EI 2024年第3期189-202,共14页
The Gulong shale demonstrates high clay content and pronounced thin laminations,with limited vertical variability in log curves,complicating lithofacies classification.To comprehend the distribution and compositional ... The Gulong shale demonstrates high clay content and pronounced thin laminations,with limited vertical variability in log curves,complicating lithofacies classification.To comprehend the distribution and compositional features of lithofacies in the Gulong shale for optimal sweet spot selection and reservoir stimulation,this study introduced a lithofacies classification scheme and a log-based lithofacies evaluation method.Specifically,theΔlgR method was utilized for accurately determining the total organic carbon(TOC)content;a multi-mineral model based on element-to-mineral content conversion coefficients was developed to enhance mineral composition prediction accuracy,and the microresistivity curve variations derived from formation micro-image(FMI)log were used to compute lamination density,offering insights into sedimentary structures.Using this method,integrating TOC content,sedimentary structures,and mineral compositions,the Qingshankou Formation is classified into four lithofacies and 12 sublithofacies,displaying 90.6%accuracy compared to core description outcomes.The classification results reveal that the northern portion of the study area exhibits more prevalent fissile felsic shales,siltstone interlayers,shell limestones,and dolomites.Vertically,the upper section primarily exhibits organic-rich felsic shale and siltstone interlayers,the middle part is characterized by moderate organic quartz-feldspathic shale and siltstone/carbonate interlayers,and the lower section predominantly features organic-rich fissile felsic/clayey felsic shales.Analyzing various sublithofacies in relation to seven petrophysical parameters,oil test production,and fracturing operation conditions indicates that the organic-rich felsic shales in the upper section and the organic-rich/clayey felsic shales in the lower section possess superior physical properties and oil content,contributing to smoother fracturing operation and enhanced production,thus emerging as dominant sublithofacies.Conversely,thin interlayers such as siltstones and limestones,while producing oil,demonstrate higher brittleness and pose great fracturing operation challenges.The methodology and insights in this study will provide a valuable guide for sweet spot identification and horizontal well-based exploitation of the Gulong shale. 展开更多
关键词 Lithofacies division Formation micro-image(FMI)log Lithoscanner logging Fine-scale log-based evaluation Gulong shale
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模式识别专家系统语言LOG-BASIC的设计与实现
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作者 周冠雄 张禾 邹海明 《计算机学报》 EI CSCD 北大核心 1989年第6期423-429,共7页
作者在文献[1—3]中讨论了基于特征和知识的模式识别专家系统。为了有效地支持这类系统的实现,本文提出了一种新的LOG-BASIC程序设计语言,它是一种新型的逻辑-数值型语言,既具有逻辑推理的功能,又具有灵活方便地处理数据的功能,为实现... 作者在文献[1—3]中讨论了基于特征和知识的模式识别专家系统。为了有效地支持这类系统的实现,本文提出了一种新的LOG-BASIC程序设计语言,它是一种新型的逻辑-数值型语言,既具有逻辑推理的功能,又具有灵活方便地处理数据的功能,为实现模式识别专家系统提供了一个良好的语言支撑环境,这种语言还可成为复杂图象自动分析和新一代智能图象理解计算机的基础语言。 展开更多
关键词 模式识别 专家系统 log-basIC
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