The London startup says plants run on less than 8% of the data they collect. Its Orbital model fuses time series, physics and language. KBR led the $20m round.

Applied Computing has raised a $20M Series A to build a foundation AI model for the oil, gas and petrochemical industry.

Quantum computing gas turbine simulation moved forward July 14 as Quantinuum, Rolls-Royce, Riverlane, and EPCC signed a multi ...

As data centers and crypto-mining facilities expand to handle growing digital demands, keeping massive banks of servers cool ...

ReservoirFlow is a modern open-source Python library developed by Zakariya Abugrin at Hiesab; a startup company specialized in advanced analytics, computing, and automation founded in 2024 with a ...

Loops are ubiquitous in animate and inanimate transport networks, from leaf venation to river deltas. Yet, current physical models fail to reproduce them accurately. We report a way of loop formation ...

Models of multiphase fluid flows in porous materials commonly struggle to capture the effects of the underlying microscopic dynamics. These flows are very common: Examples range from groundwater flow ...

Department of Physics & Mathematics, University of Hull, Hull HU6 7RX, U.K. Center for Cooperative Research in Biomaterials (CIC BiomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de ...

Data-driven methods have been revolutionizing the way physicists and engineers handle complex and challenging problems even when the physics is not fully understood. However, these models very often ...

The average pore pressure during oil formation is an important parameter for measuring the energy required for the oil formation and the capacity of injection–production wells. In past studies, the ...

TAMOC is a Python package with Fortran extension modules that provides various functionality for simulating a subsea oil spill. This includes methods to compute equations of state of gas and oil, ...