Case Studies

Visualization and Automation Significantly Improves Fluids Properties Testing

Mar 23, 2020

CHALLENGE Rheology, the analysis of non-Newtonian fluid properties, conventionally requires cumbersome experimental setups with centrifuges and substantial quantities of test fluid. The technique of microrheology, pioneered at Harvard’s Experimental Soft Condensed Matter Group, consists of capturing the motion of micron-scale tracer particles in the test fluid through a microscope. The statistical analysis of the Brownian…

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New Workflow Removes Weeks from Modeling and System Engineering and Design Process

Mar 23, 2020

A time consuming and tedious process for running virtual mixing experiments A significant part of Proctor and Gamble’s (P&G) manufacturing involves mixing fluids. P&G spends resources to design mixing systems that optimize this process. Manufacturing enough new tanks and impellers to physically experiment with all of the design parameters is much too expensive, so CAD…

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Accelerating Seismic Interpretation with Machine Learning

Oct 15, 2019

Determine if AI and machine learning techniques can be used to more efficiently analyze seismic volumes Seismic is the first field measurement in the oil exploration process. Offshore, hundreds of square miles can be covered in single survey, generating terabytes of data. Petroleum geophysicists must analyze this volume of data to identify potential hydrocarbon reservoirs.…

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