Increase probability of success and expand explorations
Reduce exploration and production costs and increase production accuracy with cognitive subsurface evaluation, machine learning and guided discovery.
IBM’s subsurface corpus builder and cognitive guided discovery deepen insight about new targets for more accurate properties estimation and improved risk assessment.
The solution features reservoir analogue machine learning engines that enable you to characterize and quantify uncertainty when assessing the potential production or economic value of a reservoir.
Our unique regression models are built to predict horizontal oil and gas production “sweet spots” based on one-dimensional features extracted from neighboring well logs.
Advanced machine learning algorithms combined with computer vision techniques yield seismic and well data to help you identify geological features.
This solution improves exploration efficiency and risk assessment by helping you:
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