Scientists from KAUST and engineers from Cerebras Systems have fine-tuned an existing algorithm, Tile Low-Rank Matrix-Vector Multiplications (TLR-MVM), to improve the speed and accuracy of seismic ...

On a large seismic volume of 3,200 square kilometres, the Woodside-AWS team completed that 10-day inversion run in just 90 minutes. "Utilising 1.1 million cores across three AWS data centres -- a ...

Sudhakar Yerneni, Suhas Phadke, Dheeraj Bhardwaj, Subrata Chakraborty, Richa Rastogi, Imaging subsurface geology with seismic migration on a computing cluster, Current Science, Vol. 88, No. 3 (10 ...

Until now, high-level languages such as Python are not optimized for this type of computation. In fact, media, tabular, and semi-structured data processing each use different programming ...

Seismic processing of geophysical data collected from the Earth's subsurface enables us to identify buried hydrocarbon reservoirs, drill for oil with greater accuracy, and optimize for CO2 ...

Norway’s Shearwater GeoServices has been contracted to acquire two 3D seismic surveys offshore South Korea, together with seismic data processing and imaging, for Korea National Oil Corporation ...

This paper describes a range of best practices to compile and analyze datasets, and includes some examples in Stata, R, and Python. It is meant to serve as a reference for those getting started in ...