Case Studies

New Application Transforms Chip Communication Subsystem Testing

Dec 7, 2021

Freescale Semiconductor needed to transform their testing processes. Freescale’s High Speed Signal Integrity (HSSI) group is responsible for testing the electrical characteristics of the communications subsystems of the chips Freescale makes. The standards bodies for the serial communications protocols that Freescale implements set criteria for things like the amount of electrical noise the chip needs…

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Active Learning Improves Polymer Formulation Scale-Up Efficiency

Dec 7, 2021

A Specialty Chemical Company Wanted to Remove the Bottleneck from their Polymer Scale-Up Process Many of the high tech products we interact with on a daily basis are enabled by the use of specialty plastics that are carefully engineered to have a wide range of critical properties (mechanical, optical, electrical, thermal) that must be co-optimized…

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10X Efficiency Gain and Improved Classification Using Deep Learning

Dec 7, 2021

Use AI techniques to efficiently extract mineralogy and grain size statistics from thin sections Thin sections provide the closest examination of in situ rock properties, essential for accurate reservoir characterization and reserves estimates. Standard analysis techniques such as point counting yield the types of constituent minerals and their shape characteristics, however this is a time…

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Integrating Weather and Renewable Energy Sources Data for 2.5 Million Viewers

Mar 13, 2021

Educating and developing a culture of responsible energy consumption The EnergizAIR project is presented both to show the innovative technology and methodology to solve the challenge, and to demonstrate Enthought’s time-proven expertise in designing and delivering solutions. The EnergizAIR project ran from 2010-2012, with phase 2 continuing into 2015. EnergizAIR is a European Commission, Intelligent…

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Manual Processes for CSEM Replaced by Computational Tools and Strategies

Feb 5, 2021

Shell needed a way to effectively visualize a new scientific measurement Controlled-Source Electromagnetic sounding (CSEM) is a new tool for marine oil exploration. Sensitive electric and magnetic field detectors are deployed to the seafloor over a prospect. A ship then tows a low-frequency electric source over the detectors. Variations in the electromagnetic properties of the…

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Predicting Pore Pressure From Very Limited Data Sets

Feb 5, 2021

ConocoPhilips wanted to make pore pressure predictions with limited data sets Logs from two wells and a limited set of 2D and 3D seismic were the only data available to model subsurface pressure. With this limited data set and available software, it was difficult for CoPEG to develop confident models, as well as visualize comparisons…

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AI/Machine Learning Techniques Quantify AVA Seismic Analysis Uncertainty

Feb 5, 2021

Help ConocoPhillips apply advanced AI techniques to Amplitude Versus Angle (AVA), seismic analysis Amplitude Versus Angle (AVA), seismic analysis is a well-established oil exploration tool. A set of seismic data around a particular point looking at a particular depth under ground can be summarized by numbers called attributes. Different rock properties, like being filled with…

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Model-Based Approach to Rock Physics Improves Predictions

Feb 5, 2021

ConocoPhillips wanted a more flexible way to model rock physics An important activity in characterizing reservoirs  is constructing models of rock physics, which represent how properties of rocks result in observable characteristics. This model-centric approach contrasts with an analysis-based approach, which reasons backwards from observables to rock properties. The process used in the model-centric approach…

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Applying Machine Learning to Subsurface Data Reduces Uncertainty

Feb 5, 2021

Overcome slow and tedious nature of core analysis Core analysis provides ground truth data of rock properties, and can be time consuming and expensive to collect. Often, measured properties are known only at plug locations within the core, and conventional sampling can miss important heterogeneity that is critical for determining reservoir properties. Core analysis generates…

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Integrating Mixing Expert Knowledge Into Production System Design

Mar 23, 2020

Challenge A significant part of Procter and Gamble’s (P&G) manufacturing involves mixing fluids. P&G spends resources to design mixing systems that optimize this process. Many of the engineers responsible for designing production processes are not experts in mixing, but also do not need the complexity of a computational fluid dynamics tool like Virtual Mixing System…

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