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FaultSeg3D: Fast and accurate 3D fault delineation
Problem statementAccurate 3D mapping of faults from seismic images is essential for seismic structural interpretation, reservoir characterization and well placement. Current methods for fault delineation depend on calculating attributes that estimate seismic reflection continuities and discontinuities. These methods are slow and can take days to process....
Published: 2/1/2021
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Inventor(s): Sergey Fomel, Yunzhi Shi, Xinming Wu
Keywords(s): Artificial intelligence (AI), Drilling, Machine learning, Oil & gas upstream, Petrophysics, Unconventional reservoirs
Category(s): Computer software > Energy software > Oil & gas software
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Deep learning for rapid and robust fluorescence lifetime imaging
Deep-learning approach has the potential to unlock fluorescent lifetime imaging for clinical applications. Fluorescence lifetime imaging microscopy (FLIM) is a widely used tool for biomedical imaging that offers many unique advantages over typical intensity-based fluorescence microscopy. FLIM is advancing fundamental biological research by enabling...
Published: 1/25/2021
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Inventor(s): Hsin-Chih (Tim) Yeh, Yuan-I Chen, Yin-Jui Chang, Shih-Chu Liao, Trung Nguyen, Soonwoo Hong, Yu-An Kuo, Hsin-Chin Li
Keywords(s): Artificial intelligence (AI), Cancer, Diagnostics, Imaging, Machine learning, Medical imaging, Microscopy
Category(s): Life sciences > Diagnostic, Life sciences > Imaging > Microscopy
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RAPIDClean: fast, accurate real-time simulations for hole cleaning operations
Problem statementImproper hole cleaning is a major cause of non-productive time (NPT) in drilling. Current hole cleaning practices are mostly based on experience, rules of thumb and simplistic calculations, and do not necessarily work as expected in all scenarios. Available models do not include parameters such as fluid compressibility, pipe rotation...
Published: 1/13/2021
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Inventor(s): Eric van Oort, Amir Hossein Fallah, Qifan Gu, Dongmei Chen, Pradeepkumar Ashok
Keywords(s): Artificial intelligence (AI), Drilling, Oil & gas upstream
Category(s): Physical sciences > Energy > Oil & gas > Upstream oil & gas
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Automated real-time optimization of formation fluid sampling using artificial intelligence
BackgroundFor capital-intensive exploration and production projects, understanding the chemical and physical properties, phase behavior, compatibility, spatial distribution, and hydraulic connectivity of reservoir fluids is critical for long-term planning and operation. Often, reservoir fluid samples acquired via formation testing represent the only...
Published: 1/11/2021
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Inventor(s): Carlos Torres-Verdin, Colin Schroeder, Camilo Gelvez
Keywords(s): Artificial intelligence (AI), Drilling, Fracking, Oil & gas upstream, Petrophysics, Reservoir mapping
Category(s): Physical sciences > Energy > Oil & gas > Upstream oil & gas
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