Researchers review advances and challenges in applying SLA to evaluate unconventional reservoirs, highlighting its simplicity and convenience. The study proposes modifications to address reservoir heterogeneity and suggests combining SLA with machine learning algorithms for improved accuracy.
Researchers from China University of Petroleum apply terahertz spectroscopy to characterize oil shale's anisotropy, organic distribution, and fingerprint spectrum. The method enables simultaneous characterization of main oil generation zones and natural gas zones.
The study provides a condensed overview of recent advances and challenges in atmospheric and pressurized PVSRs, highlighting potential for improving performance through geometrical parameter optimization and spectrally selective absorption. Standardized evaluation methods remain essential to unlock the full potential of PVSRs.