Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

ABSTRACT: Aiming at the problems of well-developed dominant seepage channels, prominent viscous fingering phenomenon, complex dynamic evolution of flow fields, and difficulty in fine characterization ...

The consortium running the European Space Agency's (ESA) Euclid mission has published the most extensive simulation of the cosmos to date. The modeling was based on algorithms developed by UZH ...

ABSTRACT: To overcome the problem of calculation errors in the Born approximation when the forward accumulation effect is strong in VTI media, this article combines the De Wolf approximation method ...

Reservoir simulation is the decision engine of field development planning (FDP). It converts geology, fluids, and well/facility concepts into production and injection forecasts to select, optimize, ...

Reservoir simulation is the quantitative engine that converts geology, fluids, and operating constraints into forecasted production, recovery, and economics to guide field development choices. I.1 ...

Scientists used IBM's R2 Heron quantum processor to predict the secondary protein structure of a 60-nucleotide-long mRNA sequence. When you purchase through links on our site, we may earn an affiliate ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. Hydraulic ...

1 Center for Net Carbon Zero GeoEnergy Intelligence and Sustainability (C0GEiS), The University of Kansas, School of Engineering, Chemical and Petroleum Engineering Department, Lawrence, KS, United ...

Middle East hydrocarbon reservoirs are known for their massive and/or complex geological structures spanning vast areas of various basins of the Arabian Peninsula, the Arabian Gulf, and North Africa.