Several organizations have migrated to the cloud for better quality in business engagements and security. Data quality is crucial in present-day activities. Information is generated and collected from data representin...Several organizations have migrated to the cloud for better quality in business engagements and security. Data quality is crucial in present-day activities. Information is generated and collected from data representing real-time facts and activities. Poor data quality affects the organizational decision-making policy and customer satisfaction, and influences the organization’s scheme of execution negatively. Data quality also has a massive influence on the accuracy, complexity and efficiency of the machine and deep learning tasks. There are several methods and tools to evaluate data quality to ensure smooth incorporation in model development. The bulk of data quality tools permit the assessment of sources of data only at a certain point in time, and the arrangement and automation are consequently an obligation of the user. In ensuring automatic data quality, several steps are involved in gathering data from different sources and monitoring data quality, and any problems with the data quality must be adequately addressed. There was a gap in the literature as no attempts have been made previously to collate all the advances in different dimensions of automatic data quality. This limited narrative review of existing literature sought to address this gap by correlating different steps and advancements related to the automatic data quality systems. The six crucial data quality dimensions in organizations were discussed, and big data were compared and classified. This review highlights existing data quality models and strategies that can contribute to the development of automatic data quality systems.展开更多
针对川西南地区页岩气勘探面临的激发条件变化较大、地表障碍物较多和外界干扰较大等影响三维地震勘探资料采集质量的问题,研究团队经过多年研究与试验,设计了经济适用的细分面元复合模板观测系统,从3个方面针对性制定了质量提升措施。...针对川西南地区页岩气勘探面临的激发条件变化较大、地表障碍物较多和外界干扰较大等影响三维地震勘探资料采集质量的问题,研究团队经过多年研究与试验,设计了经济适用的细分面元复合模板观测系统,从3个方面针对性制定了质量提升措施。(1)分析影响激发的主要因素,开展全工区系统试验,优化工区不同位置激发参数,确定适宜的炮井井深和炸药用量等措施优化激发参数;(2)确定煤矿、河流、水库、城镇等地表障碍物分布区域,细化观测系统方案,减少丢炮、丟道面积;(3)做实检波器埋置,控制人文和自然环境噪音,提升接收质量。一系列措施落实后,地震资料的采集质量显著提升,所采集的JY三维工区的原始单炮记录一级品率大于90%,PSTM(Pre stack time migration,叠前时间偏移)处理成果剖面具有较高的信噪比、分辨率和较强的层次感,对页岩气勘探开发具有重要支撑作用。展开更多
文摘Several organizations have migrated to the cloud for better quality in business engagements and security. Data quality is crucial in present-day activities. Information is generated and collected from data representing real-time facts and activities. Poor data quality affects the organizational decision-making policy and customer satisfaction, and influences the organization’s scheme of execution negatively. Data quality also has a massive influence on the accuracy, complexity and efficiency of the machine and deep learning tasks. There are several methods and tools to evaluate data quality to ensure smooth incorporation in model development. The bulk of data quality tools permit the assessment of sources of data only at a certain point in time, and the arrangement and automation are consequently an obligation of the user. In ensuring automatic data quality, several steps are involved in gathering data from different sources and monitoring data quality, and any problems with the data quality must be adequately addressed. There was a gap in the literature as no attempts have been made previously to collate all the advances in different dimensions of automatic data quality. This limited narrative review of existing literature sought to address this gap by correlating different steps and advancements related to the automatic data quality systems. The six crucial data quality dimensions in organizations were discussed, and big data were compared and classified. This review highlights existing data quality models and strategies that can contribute to the development of automatic data quality systems.
文摘针对川西南地区页岩气勘探面临的激发条件变化较大、地表障碍物较多和外界干扰较大等影响三维地震勘探资料采集质量的问题,研究团队经过多年研究与试验,设计了经济适用的细分面元复合模板观测系统,从3个方面针对性制定了质量提升措施。(1)分析影响激发的主要因素,开展全工区系统试验,优化工区不同位置激发参数,确定适宜的炮井井深和炸药用量等措施优化激发参数;(2)确定煤矿、河流、水库、城镇等地表障碍物分布区域,细化观测系统方案,减少丢炮、丟道面积;(3)做实检波器埋置,控制人文和自然环境噪音,提升接收质量。一系列措施落实后,地震资料的采集质量显著提升,所采集的JY三维工区的原始单炮记录一级品率大于90%,PSTM(Pre stack time migration,叠前时间偏移)处理成果剖面具有较高的信噪比、分辨率和较强的层次感,对页岩气勘探开发具有重要支撑作用。
