Европейская академия естественных наук Hannover E.V.

Xu Tianji

Xu Tianji, male, PhD, is currently a researcher and doctoral supervisor at the School of Resources and Environment, University of Electronic Science and Technology of China. He has previously served as the director of the Research Institute of Sinopec Southwest Oil and Gas Branch and the director of the Key Laboratory of Multi wave Seismic Technology. Over the past 20 years, he has been engaged in theoretical research and technical practice related to oil and gas exploration and development, such as seismic exploration, reservoir mechanics, and artificial intelligence. He has undertaken more than 40 projects, including “Research on Sweet Spot Prediction Technology for Tight Clastic Rocks in Sichuan Basin” and “Artificial Intelligence Seismic Interpretation Technology and Software Development”. He has established 8 proprietary technologies of Sinopec, obtained 15 invention patents, published more than 70 academic papers such as SCI and EI, published 3 works and 2 collections of papers, and won more than 30 awards including the National Science and Technology Progress Second Prize, the Chinese Geological Society Youth Geological Science and Technology Award - Golden Hammer Award, Sinopec Technology Invention First Prize, and Sinopec Science and Technology Progress First Prize. His main achievements and contributions, including:

1. In response to the exploration and development challenges of deep low-permeability tight gas reservoirs, a systematic study was conducted on the three-dimensional three component (3D3C) seismic exploration theory, and innovative technologies such as PP and PS wave joint inversion, multi wave anisotropy and PS wave splitting crack detection, and full wave attribute gas content identification were established. These technologies have an application area of over 2000km² in the Sichuan Basin, and their application scale was the largest in the world at that time (2009), which have increased the success rate of exploration wells in deep low-permeability tight gas reservoirs in western Sichuan from 15% to 89%, and the hit rate of high-yield wells from 9.1% to 67%, significantly saving exploration costs and contributing to the submission of 121.12 billion cubic meters of proven reserves and development construction for the deep Xujiahe Formation gas reservoir in western Sichuan.

2. In response to the challenges of deep shale gas exploration and development, high-precision prediction technologies have been created for geological and engineering sweet spots such as lithology, physical properties, brittleness, gas content, TOC, pore fluid pressure, and geostress. The application area of these technologies in the southern Sichuan region exceeds 14500km², promoting a 100% drilling rate for high-quality shale in horizontal wells, and providing strong support for the discovery and submission of proven reserves of 124.678 billion cubic meters for the development goals of Weirong, Jingyan-Qianwei and Yongchuan, which are worth billions of cubic meters.

3. In response to the challenges of intelligent identification of ancient river channels, multi wave intelligent prediction of “Fault-fracture reservoir”, and intelligent evaluation of sweet spots in deep shale reservoirs, a key technology for intelligent seismic exploration has been established by combining traditional geological, seismic, and logging theories with cutting-edge methods such as shallow machine learning and deep learning, using the approach of “geology as guidance, seismic target finding, and artificial intelligence to improve quality and efficiency”. The technology promotes an accuracy rate of over 95% in seismic excitation and reception quality control, saves 5-10 times quality control human resources, and shortens the quality control cycle by more than 10 times. According to the appraisal of the Sichuan Geological Society, the technology as a whole has reached the international advanced level.

 

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