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FORNY20-FORNY2020

KVAL: AI-Powered Drilling Performance Optimization

Alternative title: AI-Powered Drilling Performance Optimization

Awarded: NOK 0.50 mill.

Project Number:

338394

Project Period:

2022 - 2023

Funding received from:

Organisation:

Drilling is a complex process with high risks and costs, especially for offshore Norway. In addition to the oil and gas industry, drilling plays a significant role in other subsurface resource development, such as geothermal energy and subsurface CO2 sequestration. The future of drilling is about improving drilling efficiency and safety though the use of digital and automation technologies. The AI-Drill project uses modern Artificial Intelligence (AI) and Big Data to significantly reduce costs and increase safety by reducing the potential for human errors. The human errors caused by the inability or, in some cases, unwillingness to react to the early signs of potentially detrimental events have led to some catastrophic events in the oil industry, such as the Macondo accident in the Gulf of Mexico. Meanwhile, as automated drilling matures, more jobs would be created to support the further development of automated systems, both in R&D and in the industry. As Norway still has an ample supply of oil and gas, the successful development and implementation of the AI-Drill project will significantly contribute to value creation for Norwegian society.

I prosjektet har vi samlet kunnskap om boreoptimaliseringsmarkedet gjennom dialog med operatører og potensielle lisensinnehavere (teknologiselskaper). Vi har utviklet en teknologiprototype og forberedt en verifiseringssøknad. Markedsundersøkelsen viser at dagens løsninger er hovedsakelig basert på fysiske modeller, men det er stor interesse for hybride data-drevne tilnærminger, mer spesifikt physics informed AI med fokus på explainable AI. Nye data-drevne løsninger bør kunne integreres sømløst med eksisterende systemer og arbeidsprosesser. Mikrotjenester med definerte API-er anses som en naturlig tilnærming for integrasjon.

Funding scheme:

FORNY20-FORNY2020