当前关于生产性服务业与制造业(两业)融合发展的研究分散且呈现碎片化态势,且尚未对其研究视角、发展脉络、学术争鸣与盲区给出清晰阐释。基于CNKI数据库及Web of Science数据库,通过分析两业融合发展动态发现:两业融合发展研究主要从...当前关于生产性服务业与制造业(两业)融合发展的研究分散且呈现碎片化态势,且尚未对其研究视角、发展脉络、学术争鸣与盲区给出清晰阐释。基于CNKI数据库及Web of Science数据库,通过分析两业融合发展动态发现:两业融合发展研究主要从政策与制度、技术创新、价值链升级、产业协同集聚等4个视角展开;两业的相互影响作用研讨、融合发展机制揭示,以及融合发展实现模式是两业融合发展研究的主要内容;现有研究聚焦于“生产性服务业集聚对制造业的影响因素、影响效应和影响路径”;存在“新兴技术影响”“绿色价值链升级”“微观机制深化”“国际比较研究”4个盲区。展开更多
Finding channel sandbodies is an important task in oil and gas exploration due to the importance of fluvial reservoirs. It is difficult to describe fluvial reservoirs in detail owing to their frequent changes and seri...Finding channel sandbodies is an important task in oil and gas exploration due to the importance of fluvial reservoirs. It is difficult to describe fluvial reservoirs in detail owing to their frequent changes and serious intersections, as well as limitations of S/N ratio and seismic data resolution. Based on the Laohekou 3D data in Shengli Oilfield, we analyze the general characteristics of fluvial reservoirs in this area, from which we find that they are characterized by strong amplitudes on seismic profiles, high continuity on time slices, and low frequency in the frequency domain. In addition, a cluster of strong string-bead- like reflections was found after color processing and detailed interpretation. To understand this observation, we conduct forward modeling to explain the mechanism. This provides a new way to identify ancient channels in similar areas. By using the multi-attribute fusion and RGB display techniques, channel incision is more obvious and the characteristics of the channel structures are manifested much better. Finally, we introduce and apply multi-wavelet detection technology to identify weaker fluvial reservoir signals.展开更多
文摘当前关于生产性服务业与制造业(两业)融合发展的研究分散且呈现碎片化态势,且尚未对其研究视角、发展脉络、学术争鸣与盲区给出清晰阐释。基于CNKI数据库及Web of Science数据库,通过分析两业融合发展动态发现:两业融合发展研究主要从政策与制度、技术创新、价值链升级、产业协同集聚等4个视角展开;两业的相互影响作用研讨、融合发展机制揭示,以及融合发展实现模式是两业融合发展研究的主要内容;现有研究聚焦于“生产性服务业集聚对制造业的影响因素、影响效应和影响路径”;存在“新兴技术影响”“绿色价值链升级”“微观机制深化”“国际比较研究”4个盲区。
基金sponsored by The Science and Technology Research Project,Shengli Oilfield (Grant No. YKW1002)
文摘Finding channel sandbodies is an important task in oil and gas exploration due to the importance of fluvial reservoirs. It is difficult to describe fluvial reservoirs in detail owing to their frequent changes and serious intersections, as well as limitations of S/N ratio and seismic data resolution. Based on the Laohekou 3D data in Shengli Oilfield, we analyze the general characteristics of fluvial reservoirs in this area, from which we find that they are characterized by strong amplitudes on seismic profiles, high continuity on time slices, and low frequency in the frequency domain. In addition, a cluster of strong string-bead- like reflections was found after color processing and detailed interpretation. To understand this observation, we conduct forward modeling to explain the mechanism. This provides a new way to identify ancient channels in similar areas. By using the multi-attribute fusion and RGB display techniques, channel incision is more obvious and the characteristics of the channel structures are manifested much better. Finally, we introduce and apply multi-wavelet detection technology to identify weaker fluvial reservoir signals.
