This chapter introduces typical cases of artificial intelligence and big data application in oil and gas industry. In the upstream field, it introduces how to combine digital rock physics with big data and AI to optimize recovery efficiency. Digital…
CO2 removal in raw natural gas is required to meet the sale gas specifications. The chemical solvent absorption method is one of the most commonly used technologies. The absorption-based processes, however, require an enormous amount of energy to…
The widescale consumer adoption of hydrogen fuel cell electric vehicles (HFCEVs) is currently hindered by the high cost of small-scale hydrogen generation and the lack of extensive hydrogen refueling infrastructure. Natural gas-based hydrogen is…
This work presents an optimized design of a methyl diethanolamine CO2 capture unit for clean hydrogen production via steam methane reforming of natural gas, where CO2 is captured from the pressurized water-gas shifted syngas. We propose a modified…
Hydrogen-rich industrial by-products, such as coke oven gas (COG) and synthetic ammonia exhaust tail gas, are often simply utilized as fuel gas, or even not utilized at all in many cases. An innovative and efficient utilization method is proposed and…
CO2 removal in raw natural gas is required to meet the sale gas specifications. The chemical solvent absorption method is one of the most commonly used technologies. The absorption-based processes, however, require an enormous amount of energy to…
With growing research interest in renewable energy generation and storage technologies, a need arises for a framework integrating renewable energy within the process industry. In this study, the multi-energy hub approach was used to develop a model…
This chapter introduces typical cases of artificial intelligence and big data application in oil and gas industry. In the upstream field, it introduces how to combine digital rock physics with big data and AI to optimize recovery efficiency. Digital…