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Japanese energy firms tap into AI to enhance operations

  • Spanish Market: Coal, Crude oil, Metals, Natural gas, Oil products
  • 20/12/19

Japanese energy firms are looking to use artificial intelligence (AI) to fill operational gaps as they struggle to overcome structural problems, including a labour shortage and ageing plant facilities, in the face of fierce industry competition.

Japanese oil firm Idemitsu earlier this year began a pilot project to optimise domestic coastal oil shipping operations using AI. The first such project for the country's oil industry was done jointly with Grid, a Japanese developer and provider of AI technology, aiming to pioneer optimisation and automation of oil shipping logistics.

The project is targeted to be completed in May next year. It has so far confirmed improved results in shipping efficiency and an inventory-shipment ratio when using AI technology in shipping logistics, such as fleet routing and scheduling, replacing time-consuming work traditionally performed by skilled workers.

Idemitsu is targeting eventually to apply proven AI technology to actual oil shipping operations and possibly throughout in its oil supply chain to enhance operational efficiency.

Grid has been co-operating with Japanese trading houses, engineering and IT firms to develop and provide digital solutions using AI technology. Japanese trading house Mitsui originally invested in Grid in 2017 and has since strengthened the alliance, targeting to develop synergies between AI technology and the firm's expertise in resource businesses. Grid earlier this month issued additional shares to Mitsui but details of the shareholding were undisclosed.

Mitsui is Japan's second-largest oil and gas producer with output projected at 252,000 b/d of oil equivalent during April 2019-March 2020. The company also participates in overseas copper and iron mines, as well as coal mines.

Japanese engineering firm Chiyoda has also partnered with Grid since 2016 to enhance its AI solution businesses. The company is targeting to market its digital products using AI technology in a package with plant engineering services to improve profitability and operational efficiency.

Chiyoda has developed the expertise in an earlier pilot project done at Indonesia's 2mn t/yr Donggi Senoro LNG plant. The company in 2018 also agreed with Abu Dhabi's state-owned Adnoc to provide AI technology and big data analysis on its LNG plants, targeting to optimise plant operations and maintenance, as well as increase production efficiency.

JXTG, the country's resource conglomerate, is also looking to use AI technology to support operations of its refineries, petrochemical plants and metals production plants. The firm in June this year invested in Japanese AI technology developer Preferred Networks and launched a joint study to achieve optimisation and automation of refineries. The two companies are also planning to use Preferred Network's materials informatics technology to discover new materials for production of functional materials and metals products.

Japanese shipping firm Mitsui OSK Lines in September this year tested application of AI technology to speed up drafting ship allocations and cargo loading plans for its fleet of 100 car carriers. The company in 2017 also carried out a trial to use AI to verify vessel performance, looking to reduce future marine fuel use and environmental impact.

By Rieko Suda


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