Artificial intelligence or promotion of oil exploration and development technology upgrading
In recent years, along with the upgrade of computer software and hardware technology, the realization of parallel computing and cloud computing, big data and machine learning have developed rapidly, which has once again set off a new wave for the research and application of artificial intelligence. In this wave, standing in the forefront is the "newcomer" in the field of machine learning - deep learning, people believe that deep learning will lead us into the era of universal AI, from Internet +, to AI+. At present, the application of artificial intelligence in the general field, from intelligent transportation, to driverless cars, to smart cities and smart oil fields, artificial intelligence has already set off waves of change in many fields. According to the US consulting firm Research and Markets, the artificial intelligence market is expected to reach $2.85 billion by 2022 in the oil and gas sector. International oil giants have long joined the world of AI. British Petroleum BP is increasingly interested in using artificial intelligence to find new resources, and has purchased artificial intelligence technology developed for space exploration to find more resources. Pioneer Natural Resources, the largest independent oil producer in the United States, also said it plans to introduce artificial intelligence technology into drilling operations to increase drilling success rates. Eni, Italy's largest oil and gas company, announced that it has begun operating a new supercomputer that will improve the accuracy of seismic imaging and geological modeling. At present, the application of big data in the oil and gas field at home and abroad is still in its infancy, and domestic research is not deep enough and systematic. In order to meet the wave of big data and artificial intelligence technology and promote the upgrading of petroleum exploration and development technology, the research team of the China National Petroleum Corporation Science and Technology Research Institute, a well-known oilfield development expert and academician of the Chinese Academy of Engineering, Han Dawei, started as early as 2005. The machine learning support vector machine method is used to conduct oilfield development data mining to solve the problem of residual oil distribution in ultra-high water-bearing oilfields, and important progress has been made. Academician Han Dazhao has long been committed to advocating big data and artificial intelligence technology. He is leading the large-scale application in the field of petroleum exploration and development. He is led by the China National Petroleum Corporation Science and Technology Research Institute for “innovative efficiency demonstration project for oil and gas exploration and development based on big data applicationâ€. The project was recently selected by the Ministry of Industry and Information Technology for the list of pilot projects for the development of big data industry in 2018. (The picture shows the work of Dr. Han Dazhao (middle) and Professor Liu Wenling in the joint training of postdocs) The implementation of the project is hoped to implement the innovative demonstration project of industrial application in the field of oil production engineering, expand the application scale, cover the main oilfield of CNPC, further deepen the application of big data, and upgrade the existing oil well production optimization analysis system software to smart oil well. Production optimization and decision-making system software; on the other hand, the extension of big data applications to major majors in petroleum exploration and development, including oilfield development, medium- and long-term planning, earthquakes, logging, etc.; finally, in the combination of big data and industry, Exploring a set of processes, interfaces, projects and team building methods that combine clear data and industry with clear responsibilities and reasonable division of labor. The formed big data cloud platform can be applied to other professional fields, such as the refinery's production and crude oil. Procurement plan, integrity management in the long-distance pipeline, pipe network optimization and other professional areas.
Hydraulic Valve Contain Main Control Valve, Pilot Valve on Pump, Relief Valve on Control Valve and Solenoid Valve.
Fuction:
(1) when the single boom is lifted, the two pumps supply oil together to improve the lifting speed of the boom. (only when the boom is raised)
(2) when the bucket rod moves separately, the two pumps supply oil to the platform and speed up the action speed of the bucket.
(3) the boom is preferred. When the boom and other actions are carried out at the same time, the action of the boom will be given priority.
(4) priority is given to rotation, and when rotary and bucket move simultaneously, gyration will be given priority.
(5) Negative flow control, to provide a negative flow signal to the main pump, so that the valve stem in the middle, the main pump displacement becomes minimum.
(6) Walking in a straight line, when the excavator is moving forward or backward, other actions can be taken at the same time to ensure the needs of special working conditions.
(7) electrical sensors can be configured to meet the needs of electronic control.
Hydraulic Valve Hydraulic Valve,Hydraulic Control Valve,Hydraulic Solenoid Valve,Hydraulic Check Valve Jining Tongderui Construction Machinery Co., Ltd. , https://www.tdr-excavatorparts.com
