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A Comparison Of Coherence Enhancement, Probabilistic Neural Network, And Convolutional Neural Network Fault Imaging With Manual Interpretation In The Taranaki Basin Area, New Zealand.
(2021-05-17)
Fault identification is a key aspect in seismic interpretation, and model generation is an essential task to achieve any accurate, precise reservoir modeling or structural framework that solves problems in the subsurface. ...
Impact of Viscous Acid-in-Oil Emulsion Formation on Well Productivity Following Acid Stimulation
(2016-12-16)
Acid stimulation techniques matrix acidizing and acid fracturing are commonly applied in carbonate reservoirs. The goal of such techniques is to increase well productivity by enhancing permeability in the near wellbore ...
Interpretational variations of seismic attribute analysis as compared within the time and depth domains
(2022)
Migration is one of the crucial data processing steps re-locating the recorded seismic events to their true locations, suppressing the diffractions and thus, providing more accurate imaging of the subsurface. It can be ...
Petrophysical rock typing in Uinta Basin using models powered by machine learning algorithms
(2023)
Petrophysical characterization is key to identifying different rock types for hydrocarbon production optimization. Rock-typing, a petrophysical characterization technique, can be performed using wireline measurements, such ...