|Budget Amount *help
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2023: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2022: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2021: ¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
|Outline of Research at the Start
Nations around the globe had agreed to cut CO2 emission, but our society will still rely on hydrocarbon energy in the next decades. Coupling efficient petroleum production and CCS will provide a suitable alternative. Advancement in micro-tomography marks the rise of digital rock physics (DRP). In this decade, the implementations of machine learning (ML) to various industries have opened unprecedented possibilities. Here, I propose the implementation of ML with the combination between void structure images and statistics of pore-throat network by using deep learning (DL).