INPEXにおける掘削・仕上げへのデジタル技術導入

抄録

INPEX has been leveraging digital technologies in the drilling and completion sector since 2019. The development of data acquisition and prediction capabilities enables addressing complex challenges, with the integration of machine learning. The COVID-19 pandemic has accelerated the adoption of remote operations and automation, leading to advancements in drilling system automation. Digitalization and autonomous control are crucial, demanding high-precision data attributes. Digital transformation（DX）technologies play a vital role in the development of composite technologies for autonomous control.

INPEX focuses on optimizing drilling operations and preventing issues by actively engaging in collaborative research and consortiums. The report highlights project outcomes, challenges, and future directions. Emphasizing the importance of data processing and understanding phenomena, the establishment of drilling parameter models is critical. Automation and efficiency improvements in drilling systems, along with the potential of machine learning, have been explored. Addressing the challenges of high-quality data collection and black box approaches, the industry as a whole has been striving for automated control and efficiency improvements, expanding the scope of machine learning applications. INPEX is committed to utilizing digital technologies for operational optimization, including remote office setups, leveraging technical data, and implementing AI-based document search.