Perception of people for the risk of Tianwan nuclear power plant

A questionnaire survey of residents’risk perceptions related to Taiwan nuclear power plant in China was carried out to explore the determining factors that affect individual risk perception.This study proposed to pursue a more comprehensive understanding of factors that affected individual risk perception to nuclear power plants.Covariance structure analysis was conducted using risk perceptions of nuclear power as dependent variable and including interest and knowledge levels of nuclear power,acceptability,benefit perception,trust in nuclear power operation,and trust in government as independent variables.The use of the hypothesis of Elaboration likelihood model(ELM)was also proposed.The results showed that persons with higher levels of interest and knowledge of nuclear power had their own perceptions of risk closely associated with acceptability and potential benefits of nuclear power.In contrast,persons with no interest in and knowledge of nuclear power would have risk perceptions related to their trust in nuclear operation and the government,which partially supported the ELM hypothesis.All these results indicated that the government in China plays an important role in rational risk perceptions,and well-designed communication of risks will help the public to be involved in risk management and improve people’s rational acceptance of risk.

A Comprehensive Porosity Prediction Model for the Upper Paleozoic Tight Sandstone Reservoir in the Daniudi Gas Field, Ordos Basin

This paper investigated the porosity controlling factors for tight sandstone reservoir in the Daniudi gas field, Ordos Basin based on an integrated petrographic, petrophysical and geostatistical analyses, and proposed a comprehensive prediction model for reservoir porosity. Compaction was found to be a key factor for causing reservoir densification. The degree of sandstone compaction appears to be affected by grain sizes and sorting. Under normal compaction conditions（e.g., cement content less than 6%, and with no dissolution）, the variation in reservoir porosity with burial depth can be well correlated with grain compositions, grain sizes, and sorting. Based on qualitative examination of the controlling factors for reservoir porosities, geostatistics were used to quantify the effects of various geological parameters on reservoir porosities. A statistical model for comprehensive prediction of porosity was then established, on the assumption that the present reservoir porosity directly relates to both normal compaction and diagenesis. This model is easy to use, and has been validated with measured porosity data. The porosity controlling factors and the comprehensive porosity prediction can be used to quantify effects of the main controlling factors and their interaction on reservoir property evolution, and may provide a reference model for log interpretation.