Riverine flood event situation awareness and emergency management decision support systems require accurate and scalable geoanalytic data at the local level. This paper introduces the Water-flow Visualization Enhancem...Riverine flood event situation awareness and emergency management decision support systems require accurate and scalable geoanalytic data at the local level. This paper introduces the Water-flow Visualization Enhancement (WaVE), a new framework and toolset that integrates enhanced geospatial analytics visualization (common operating picture) and decision support modular tools. WaVE enables users to: 1) dynamically generate on-the-fly, highly granular and interactive geovisual real-time and predictive flood maps that can be scaled down to show discharge, inundation, water velocity, and ancillary geomorphology and hydrology data from the national level to regional and local level;2) integrate data and model analysis results from multiple sources;3) utilize machine learning correlation indexing to interpolate streamflow proxy estimates for non-functioning streamgages and extrapolate discharge estimates for ungaged streams;and 4) have time-scaled drill-down visualization of real-time and forecasted flood events. Four case studies were conducted to test and validate WaVE under diverse conditions at national, regional and local levels. Results from these case studies highlight some of WaVE’s inherent strengths, limitations, and the need for further development. WaVE has the potential for being utilized on a wider basis at the local level as data become available and models are validated for converting satellite images and data records from remote sensing technologies into accurate streamflow estimates and higher resolution digital elevation models.展开更多
The historical, informational and literary sources regarding flooding have been studied. Based on the statistical processing of multiyear stationary observation data the river maximal discharge parameters are specifie...The historical, informational and literary sources regarding flooding have been studied. Based on the statistical processing of multiyear stationary observation data the river maximal discharge parameters are specified. According tendency of their dynamics the flooding strengthening has been revealed on rivers nourished by glaciers, on the contrary in other rivers they reduced, in some regions evaporation has been increased and desertifieation has been detected. For mitigation negative impacts of those processes the recommendations of prevention measures are drafted.展开更多
Implementing a CO2 flooding scheme successfully requires the capacity to get accurate information of reservoir dynamic performance and fluids injected. Despite some numerical simulation studies, the complicated drive ...Implementing a CO2 flooding scheme successfully requires the capacity to get accurate information of reservoir dynamic performance and fluids injected. Despite some numerical simulation studies, the complicated drive mechanisms and actual reservoir performance have not been fully understood. There is a strong need to develop models from different perspectives to complement current simulators and provide valuable insights into the reservoir performance during CO2 flooding. The aim of this study is to develop a model by using an improved material balance equation （MBE） to analyze quickly the performance of CO2 flooding. After matching the historical field data the proposed model can be used to evaluate, monitor and predict the overall reservoir dynamic performance during CO2 flooding. In order to account accurately for the complex displacement process involving compositional effect and multiphase flow, the PVT properties and flowability of reservoir fluids are incorporated in the model. This study investigates the effects of a number of factors, such as reservoir pressure, the amount of CO2 injected, the CO2 partition ratios in reservoir fluids, the possibility of the existence of a free CO2 gas cap, the proportion of reservoir fluids contacted with CO2, the starting time of CO2 flooding, oil swelling, and oil flowability improvement by mixing with CO2. The model was used to analyze the CO2 flooding project in Weyburn oil field, Saskatchewan, Canada. This study shows that the proposed model is an effective complementary tool to analyze and monitor the overall reservoir performance during CO2 flooding.展开更多
绥中油田为海上重质稠油油田,地面原油密度为0.958~0.982 g/cm^3,地层原油粘度为50~250 m Pa·s。为了缓解注入水突进、改善区块开发效果和提高采收率,2003年在油田进行聚合物驱试验;2010年在注聚合物高含水井区实施整体提液措施,2...绥中油田为海上重质稠油油田,地面原油密度为0.958~0.982 g/cm^3,地层原油粘度为50~250 m Pa·s。为了缓解注入水突进、改善区块开发效果和提高采收率,2003年在油田进行聚合物驱试验;2010年在注聚合物高含水井区实施整体提液措施,2013年开始进行细分层系试验开发。随着各项增产措施的交叉实施,难以确定每项措施的增油效果。利用类比法对聚合物驱增产效果进行评价,采用相对渗透率曲线和物质平衡原理推导出新型含水率预测模型,通过对比预测含水率曲线与实际含水率曲线,确定曲线的拐点即为各项措施的见效时间,曲线的差值即为各项措施的增油量。通过动态法和数值模拟法分别计算各项措施的累积增油量,实现对聚合物驱、整体提液、细分层系等措施增油效果的劈分。研究结果表明,截至2015年底,绥中油田聚合物驱、整体提液和细分层系的措施累积增油量分别为264.3×10~4,97.1×10~4和12.6×10~4m^3。展开更多
文摘Riverine flood event situation awareness and emergency management decision support systems require accurate and scalable geoanalytic data at the local level. This paper introduces the Water-flow Visualization Enhancement (WaVE), a new framework and toolset that integrates enhanced geospatial analytics visualization (common operating picture) and decision support modular tools. WaVE enables users to: 1) dynamically generate on-the-fly, highly granular and interactive geovisual real-time and predictive flood maps that can be scaled down to show discharge, inundation, water velocity, and ancillary geomorphology and hydrology data from the national level to regional and local level;2) integrate data and model analysis results from multiple sources;3) utilize machine learning correlation indexing to interpolate streamflow proxy estimates for non-functioning streamgages and extrapolate discharge estimates for ungaged streams;and 4) have time-scaled drill-down visualization of real-time and forecasted flood events. Four case studies were conducted to test and validate WaVE under diverse conditions at national, regional and local levels. Results from these case studies highlight some of WaVE’s inherent strengths, limitations, and the need for further development. WaVE has the potential for being utilized on a wider basis at the local level as data become available and models are validated for converting satellite images and data records from remote sensing technologies into accurate streamflow estimates and higher resolution digital elevation models.
基金This study was supported by the Grant of the Georgian Shota Rustaveli National Science Foundation No. GNSF/ST08/5-444. Any idea in this research is possessed by opinion of the Foundation itself.
文摘The historical, informational and literary sources regarding flooding have been studied. Based on the statistical processing of multiyear stationary observation data the river maximal discharge parameters are specified. According tendency of their dynamics the flooding strengthening has been revealed on rivers nourished by glaciers, on the contrary in other rivers they reduced, in some regions evaporation has been increased and desertifieation has been detected. For mitigation negative impacts of those processes the recommendations of prevention measures are drafted.
文摘Implementing a CO2 flooding scheme successfully requires the capacity to get accurate information of reservoir dynamic performance and fluids injected. Despite some numerical simulation studies, the complicated drive mechanisms and actual reservoir performance have not been fully understood. There is a strong need to develop models from different perspectives to complement current simulators and provide valuable insights into the reservoir performance during CO2 flooding. The aim of this study is to develop a model by using an improved material balance equation （MBE） to analyze quickly the performance of CO2 flooding. After matching the historical field data the proposed model can be used to evaluate, monitor and predict the overall reservoir dynamic performance during CO2 flooding. In order to account accurately for the complex displacement process involving compositional effect and multiphase flow, the PVT properties and flowability of reservoir fluids are incorporated in the model. This study investigates the effects of a number of factors, such as reservoir pressure, the amount of CO2 injected, the CO2 partition ratios in reservoir fluids, the possibility of the existence of a free CO2 gas cap, the proportion of reservoir fluids contacted with CO2, the starting time of CO2 flooding, oil swelling, and oil flowability improvement by mixing with CO2. The model was used to analyze the CO2 flooding project in Weyburn oil field, Saskatchewan, Canada. This study shows that the proposed model is an effective complementary tool to analyze and monitor the overall reservoir performance during CO2 flooding.
文摘绥中油田为海上重质稠油油田,地面原油密度为0.958~0.982 g/cm^3,地层原油粘度为50~250 m Pa·s。为了缓解注入水突进、改善区块开发效果和提高采收率,2003年在油田进行聚合物驱试验;2010年在注聚合物高含水井区实施整体提液措施,2013年开始进行细分层系试验开发。随着各项增产措施的交叉实施,难以确定每项措施的增油效果。利用类比法对聚合物驱增产效果进行评价,采用相对渗透率曲线和物质平衡原理推导出新型含水率预测模型,通过对比预测含水率曲线与实际含水率曲线,确定曲线的拐点即为各项措施的见效时间,曲线的差值即为各项措施的增油量。通过动态法和数值模拟法分别计算各项措施的累积增油量,实现对聚合物驱、整体提液、细分层系等措施增油效果的劈分。研究结果表明,截至2015年底,绥中油田聚合物驱、整体提液和细分层系的措施累积增油量分别为264.3×10~4,97.1×10~4和12.6×10~4m^3。
