Intelligent mining started with Automated mining and Telemining /Distance mining in the 1980s and 1990s. In 1992, the Intellimine plan was put forward in Finland, and the concept of intelligent coal mining was basically determined. At present, China's oil and gas exploration and development in old oilfields, unconventional, deep and deep water needs to use intelligent equipment and materials to intelligently control the production performance of oil and gas fields, so as to reduce the development cost and improve oil and gas production and recovery. Intelligent mining refers to the mining operation process independently completed by mining equipment through intelligent perception of mining environment, intelligent control of mining equipment and autonomous cruise of mining operation without direct intervention of human beings. The intelligent mining of coal and oil and gas is a revolutionary technology to improve production efficiency and economic benefits through the deep integration of informatization and industrialization on the basis of mechanized mining and automatic mining.

(1) key engineering technologies, equipment and materials for intelligent coal mining. It is the deep integration of three technical units of environmental perception, intelligent decision-making and automatic control, involving five branches of engineering environmental perception, digital mine, mine Internet of things, big data cloud computing and equipment control automation. Engineering environmental perception is an automatic detection and transmission technology for downhole equipment, personnel and disaster, aiming at solving the problem of monitoring automation and refinement in the whole process of coal mining operation under complex geological conditions. Australia focuses on the intelligent detection of coal seam geological structure based on thermal infrared imaging; China has focused on the intelligent detection of the position and posture of coal mining equipment. The level of intelligent mining equipment in China is comparable to that in foreign countries. It has online perception ability of shearer operating parameters, machine fault parameters, machine attitude parameters, etc. It has the function of shearer cutting drum memory cutting, airborne wireless transceiver signal, and can build a shearer remote monitoring system. Foreign mainstream electro-hydraulic control hydraulic support can complete the functions of fully mechanized mining face equipment remote control and system fault diagnosis. At present, the intelligent scraper conveyor independently developed in China is mainly embodied in soft start control, automatic tension of scraper chain and operation condition monitoring technology. Intelligent system can realize integration of fully mechanized working face of coal winning machine, hydraulic support of fully mechanized working face, scraper conveyor, reprint machine, crusher, belt conveyor, combination switch, mobile substation equipment, such as the intelligent integration control and interlock together, after some coal mine used to realize the automation of fully mechanized working face and humanization. Equipment control automation refers to the mining operation independently completed by the mining equipment through the pre-programmed program to realize the autonomous control and the autonomous cruise of the mining operation without the need of direct intervention by human. Australia focuses on the development of memory coal cutting and autonomous navigation technology of coal mining machines, while China focuses on the remote control technology of underground mining equipment.

(2) digital mine and mine iot key engineering technology, equipment and materials. It was based on the mine spatial data and the model of the center, is the space information technology, network technology and the concentrated reflection of integrated application of visualization technique in mining enterprises, its basic task is through a unified space benchmark, unified data standard, unified network structure and integrated platform, for the whole process of visualization of mine production, refinement, intelligent control for data security and technical support. The future directions of digital mining are: mining spatial data warehouse and data updating technology, mining data mining and knowledge discovery technology, true 3D entity modeling and virtual mining technology. Mine Internet of things the perception layer, transport layer, the analysis of layer and application layer, relying on the cover mining inoue underground highway network construction of sensor network, through a variety of sensors will mine environment, equipment and personnel real-time connected together, in the mine disaster environment, equipment, personnel, health security situation of real-time monitoring, perception, communication and control. The future development of iot in mines will focus on multi-network fusion transmission technology and multi-parameter information analysis and processing technology. With the increasing coverage of iot in mines, the data generated by the interaction and integration of "people, machine and things" in the information space and available on the Internet are also increasingly large. The extraction and utilization of the intrinsic value of such data need to be supported by the super-large scale and highly scalable cloud computing technology. Coal mine big data cloud computing technology is still in its infancy, which needs to focus on the development of unified technical standards and data modeling.

(3) key engineering technologies, equipment and materials for intelligent drilling. By combining big data and artificial intelligence, intelligent drilling can effectively avoid drilling risks, form high-quality borehole, improve drilling speed, drill encounter rate and reduce drilling cost by using advanced detection, closed-loop control and precise guidance, which is the basis to ensure completion and smooth production. Intelligent drilling needs to be based on the big data in the drilling process. By analyzing real-time working conditions, the drilling rock-breaking parameters can be adaptively optimized and the well trajectory can be intelligently adjusted and controlled. Among them, the key engineering technologies of intelligent drilling mainly involve data two-way efficient transmission technology, closed-loop intelligent regulation technology and drilling intelligent guidance technology. Massive data will be generated in the drilling process. In order to ensure the dynamic interaction between the surface control system and downhole information, it is necessary to use intelligent drill pipe and other equipment for more efficient data transmission. Through the intelligent analysis of drilling data and the signal feedback, the drilling parameters are optimized to form the closed-loop control of drilling information, which significantly improves the efficiency of drilling data processing, specifically involving unmanned drilling platform, intelligent pressure control, integrated driller control and other equipment. Intelligent guidance is based on formation conditions and ground control instructions, control the drilling rate of the drill bit to conduct targeted directional drilling, which specifically involves intelligent drill bits and other equipment. In order to improve tool performance under complex conditions, carbon fiber composites, high-entropy alloys, super-steel, pure polycrystalline diamond and other materials have been widely concerned at home and abroad. At the same time, bionic drilling fluid and supramolecular polymer drilling fluid have been widely studied at home and abroad as important carriers for well drilling and smooth operation. Currently, Norway has applied highly flexible, multi-tasking unmanned drilling platforms to the field. Baker hughes' first TerrAdapt drill USES automation to dramatically reduce downhole failure rates. Babbage, a British oilfield in the north sea, has increased the rate of mechanical drilling by nearly 200% through intelligent closed-loop control and efficient transmission of data from intelligent drill pipes. Schlumberger, baker hughes, weatherford, halliburton and others have applied the technology to drilling sites.

(4) key engineering technologies, equipment and materials for intelligent well completion. Intelligent well completion is the real-time monitoring and control of oil and gas production process with the help of advanced sensing, transmission, automatic control equipment, combined with big data, artificial intelligence, etc., which provides strong support for intelligent production. Intelligent well completion is the use of big data, artificial intelligence, etc., through automation equipment, interlayer isolation, permanent monitoring, flow control, sand production control, to provide effective support for intelligent production. Among them, the key technology of intelligent well completion mainly involves the flow control technology of oil well exploitation and the intelligent optimization technology of completion parameters. At present, the integrated completion management and control system integrates downhole monitoring, data transmission and stratified flow control, which can realize reservoir information management, dynamic data sharing and intelligent flow control. It has attracted extensive attention at home and abroad, involving downhole sensors, downhole production controllers, multi-channel packers and other devices. Currently, the baker hughes InCharge completion system is electrically and hydraulically driven, controlling up to 12 pay zones and achieving stepless throttling. The schlumberger Manara completion system enables wireless data transmission, multi-channel isolation, and layered monitoring. In addition, halliburton and petrochina have also introduced SmartWell and eic-riped completion systems. At the same time, the multi-functional intelligent nano-well completion liquid system combined with nano-materials and completion fluid can automatically identify and deal with complex situations or accidents underground, which has become the future development trend.

(5) intelligent production of key engineering technologies, equipment and materials. Intelligent production is the dynamic management and optimization of the whole life cycle production of oil and gas fields based on big data and trial learning. By utilizing the collaborative work among research branches and effectively integrating data, instruments and equipment and construction operations, the intelligent oil and gas exploitation can be realized. The intelligent production USES sensing devices to collect downhole data, and then transmits it to the ground system for intelligent analysis and signal feedback. Through the ground and downhole equipment to execute control instructions, the downhole working conditions are intelligently managed and optimized. Among them, the key engineering technologies of intelligent production mainly involve real-time four-dimensional interpretation technology of reservoir production dynamics, intelligent displacement technology to improve oilfield recovery, and intelligent analysis and utilization technology of multiple massive data. The intelligent production of oil and gas mainly involves the intelligent monitoring equipment of oil field to obtain the dynamic information of each link, which provides support for real-time interpretation of oil and gas reservoir and intelligent analysis of oil and gas exploitation. At the same time, massive data will be generated in the production of oil and gas fields, which requires the intelligent analysis of information through deep learning and data mining, and puts forward more stringent requirements on the performance of big data storage and computing equipment. In addition, nanometer intelligent oil displacement agent has been highly concerned at home and abroad because it can significantly improve the recovery of low permeability reservoirs. Anadarko petroleum is currently building a large monitoring database based on microbial DNA from the Delaware basin to analyze reservoir performance. Reservoir robots, which can accurately monitor temperature, pressure and other information under complex conditions, have become a research frontier at home and abroad, and aramco has carried out active research in this field. Shell established the oilfield management system with big data and cloud computing, and initially realized the automatic production control. In order to improve oil field recovery, petrochina, sinopec and other companies have made active exploration in intelligent fine water injection and intelligent nano oil displacement agent to improve oil recovery. Natural resources Canada is also conducting pilot trials of polymer nanospheres for enhanced recovery. In addition, China's rapid development in supercomputers has reached the international advanced level, laying an important foundation for the study of massive data storage, calculation and analysis in oil and gas exploitation.