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Understanding Plant Development and Stress Responses through Integrative Approaches 被引量:1
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作者 Katie Dehesh Chun-Ming Liu 《Journal of Integrative Plant Biology》 SCIE CAS CSCD 2010年第4期350-353,共4页
As the name reflects, integrative plant biology is the core topic of JIPB. In the past few years JIPB has been pursuing the development of this area, to assist the scientific community to bring together all possible r... As the name reflects, integrative plant biology is the core topic of JIPB. In the past few years JIPB has been pursuing the development of this area, to assist the scientific community to bring together all possible research tools to understand plant growth, development and stress responses in micro- and macro-scales. As part of these efforts, JIPB and Yantai University organized the 1st International Symposium on Integrative Plant Biology in the seaside town of Yantai during August 10-12, 2009 (Figure 1) The symposium was co-sponsored by Botanical Society of China, Chinese Society for Cell Biology, Genetics Society of China, and Chinese Society for Plant Physiology. 展开更多
关键词 understanding Plant Development and Stress Responses through Integrative Approaches SDG gene As COI
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Integrate intere-well connectivity data with static reservoir models based on Bayesian formalism
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作者 Yupeng Li Rashid S.Mohammad 《Petroleum Research》 EI 2023年第3期433-438,共6页
The inter-well connectivity calculated from reservoir dynamic production data reflects formation heterogeneity quantitatively.Currently,the calculated inter-well connectivity between pair wells is mainly used as a too... The inter-well connectivity calculated from reservoir dynamic production data reflects formation heterogeneity quantitatively.Currently,the calculated inter-well connectivity between pair wells is mainly used as a tool for water flood management but not for quantitative reservoir characterization.This study proposes an innovative,dynamic data integration workflow that can integrate inter-well connectivity with a static reservoir model.In the workflow,the first step is calculating the inter-well connectivity vectors from the reservoir pairwise injector and producer wells.The second step covers interpolation in the domain of interest.The third step is to update the permeability model based on the Bayesian updating method.The result of this study shows that integrating the calculated inter-well connectivity with the static models enhances model reliability and it also provides an insight to deeper geological understanding reflected from dynamic data integration in reservoir modeling. 展开更多
关键词 Bayesian updating Dynamic dat a integration Reservoir characterization Inter-well connectivity Geological understanding integration
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