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The past couple of years has been a rollercoaster for energy professionals, but it did not stop the incredible achievements in machine-learning (ML) techniques, particularly neural networks to improve seismic imaging and multiple attribute extraction to decipher reservoir rock properties and fluid contact movements in areas with data paucity and increasing difficulty in finding new or remaining hydrocarbon accumulations.
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