关键词: 智能测井；数字化转型；EISS；远程支持；智能决策

Abstract: The information and digital technology like big data and artificial intelligence can unify engineering operation and coordinate decision-making process, thus improving the quality, efficiency and safety of the whole logging business process. It has become one of the main trends for global logging technological development. The engineering intelligent support system (EISS) adopts four layers of configuration – acquisition and transmission, data storage, information service and integrated application. It is composed of eight subsystems – vehicle-carried data center, coordinated management of market and production, management of equipment, management of materials (warehouse), HR management, remote operational support, QHSE management, and statistical analysis. Development of the system strengthens coordination between market and production, management of equipment and materials, and remote operational support. Therefore, the intelligent system is improved on the basis of application and solves the problem of information island. It can fully monitor and control production business and the state of various resources round-the-clock and over the whole process. It can also bring the elements of wells, personnel, materials and equipment under optimization and assemblage, providing the best plan for production business decisions. The system has been cumulatively used for 130,000 well times and effectively improved production business management efficiency,providing technological support for improvement of oil and gas exploration and development quality and efficiency.

Key words: intelligent logging, digitalized transition, EISS, remote support, intelligent decision making