PFI: AIR-TT: Developing a Prototype for the Next Generation of Petroleum Data Processing and Analytics Platform

该 PFI：AIR 技术翻译项目专注于将有前途的云计算和数据处理研究成果转化为石油行业的应用：下一代石油数据分析平台。这个易于使用的集成平台将简化石油行业大数据处理和分析的日常工作。它将简化地球物理学家和数据科学家的新算法设计，并促进他们的日常数据解释和分析工作。 该项目将产生具有以下独特功能的原型：高级编程环境、丰富的数据分析包、特定领域的库、用户友好的网络界面、灵活的工作流程和并行地震处理模板。与该市场领域领先的竞争通用数据分析平台相比，这些功能具有以下优势：可扩展性能、高生产率、节省成本和灵活性。 该项目在从研究发现转向商业应用的过程中解决了以下技术差距。 1）为石油数据集设计高效的数据存储和分布； 2) 简化新地震数据处理和分析算法设计的并行化工作； 3）应用最新的大数据分析发现来支持地质特征检测； 4) 实现石油数据分析的可扩展性能和高生产率。此外，参与该项目的人员，包括研究生和本科生，将通过I-Corps客户发现工作和该项目获得创业经验。该项目与 TEC 应用分析和德克萨斯 A&M 系统技术和商业化办公室合作，通过深厚的领域知识增强研究能力，指导商业化，并在从研究发现到商业现实的技术转化工作中进行营销分析。

This PFI: AIR Technology Translation project focuses on translating promising cloud computing and data processing research results to an application in the petroleum industry: a next generation petroleum data analytics platform. This integrated, easy-to-use platform will ease the daily work of big data processing and analytics in the petroleum industry. It will simplify the geophysicists' and data scientists' new algorithm design and facilitate their daily data interpretation and analytics work. The project will result in a prototype with the following unique features: high-level programming environment, rich data analytics packages, domain specific libraries, user-friendly web interface, flexible workflow and parallel seismic processing templates. These features provide the following advantages: scalable performance, high productivity, cost savings, and flexibility when compared to the leading competing generic data analytics platforms in this market space. This project addresses the following technology gaps as it translates from research discovery toward commercial application. 1) Design efficient data storage and distributions for petroleum data sets; 2) simplify parallelization efforts for new seismic data processing and analytics algorithm design; 3) apply the latest big data analytics discovery to support geological feature detection; 4) achieve both scalable performance and high productivity for petroleum data analytics. In addition, personnel involved in this project, including graduate and undergraduate students, will receive entrepreneurship experiences through I-Corps customer discovery work and this project. The project engages TEC Application Analysis and the Texas A&M System Technology and Commercialization office to augment research capability with deep domain knowledge, guide commercialization aspects, and to perform marketing analysis in this technology translation effort from research discovery toward commercial reality.