AspenTech Solutions Combined with Machine Learning Help Reduce Geological Risk During Well Planning and Drilling

A customer in Eastern Europe needed an accurate assessment of effective oil-saturated thicknesses in a major development project. This case study explains how machine learning-based algorithms were used to analyze complex borehole and seismic studies employing a set of unique classification approaches embedded in Aspen SeisEarth™ and Aspen Geolog Facimage™.

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Industrial Data Fabric

Asset Performance Management

Digital Grid Management

Manufacturing and Supply Chain

Performance Engineering

Subsurface Science & Engineering

AspenTech Solutions Combined with Machine Learning Help Reduce Geological Risk During Well Planning and Drilling

By submitting this form, I agree to AspenTech's Privacy and Security Policy

Are you a current user of AspenTech solutions?

Would you like to talk to an AspenTech Expert?

Thank you for downloading this resource

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