Midstream


Big data and machine learning for prediction of corrosion in pipelines - DNV GL - Software

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We wanted to learn more about the opportunities and maturity level with technologies like big data, machine learning, artificial intelligence and the internet of things. For condition monitoring, these analytical tools can assist operators improve maintenance regimens and optimize inspection intervals by combining asset specific, industry, historical and real-time data into the data driven predictive and decision processes. "Big data" in the pipeline assessment business context includes the vast quantities of data coming from inspection devices full of sensors, such as pigs, and increasingly from embedded or remote sensors the most common which are catholic protection and corrosion coupons in addition we have a many types of asset property data, historical assessments, operational state, soils and environmental information which will exist in many formats, often unstructured such as in documents or photographs or other images. In the hackathon we taught our algorithms on previously pigged areas of pipelines where we had the inspection history to determine levels of corrosion as well as many forms of non-inspection information including those relating to pipe properties, corrosion protection history, coating type, local climate data, soil properties and previous field examination results.


How Businesses Are Using Artificial Intelligence - ForeverMogul

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In other words, their artificial intelligence program pays for itself in less than 18 months. Expedia's artificial intelligence program helps users to find the cheapest rates for hotels and flights worldwide. AutoTrader uses a machine learning artificial intelligence program to improve their car valuations. Chief Digital Officer Marc Florette says that timely detection of a crack in a high-pressure gas pipeline can save the company millions of dollars.


Operator Based Machine Learning Pipeline Construction · rstats-gsoc/gsoc2017 Wiki · GitHub

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The R programming language already offers a general purpose package for piping function output to new functions, magrittr. The aim of this project is to provide a similar syntax, but much more focused on machine learning and utilizing a large number of preprocessing methods that are available in other R packages. For comparison, the Python machine learning toolbox Scikit learn offers Pipeline and FeatureUnion functions to chain multiple estimators and transformer functions into one call. As stated in their documentation the main advantage is that only one call to fit and predict is required for a complete pipeline fit and it is possible to optimize jointly over the whole space of hyperparameters.


GE Wants To Be The Next Artificial Intelligence Powerhouse

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The effort started in 2015 when GE announced Predix Cloud--an online platform to network and collect data from sensors on industrial machinery such as gas turbines or windmills. "We were using machine learning, but I would call it in a custom way," says Bill Ruh, GE's chief digital officer and CEO of its GE Digital business (GE calls its division heads CEOs). Today GE revealed the purchase of two AI companies that Ruh says will get them there. Bit Stew Systems, founded in 2005, was already doing much of what Predix Cloud promises--collecting and analyzing sensor data from power utilities, oil and gas companies, aviation, and factories.


GE Wants To Be The Next Artificial Intelligence Powerhouse

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The effort started in 2015 when GE announced Predix Cloud--an online platform to network and collect data from sensors on industrial machinery such as gas turbines or windmills. "We were using machine learning, but I would call it in a custom way," says Bill Ruh, GE's chief digital officer and CEO of its GE Digital business (GE calls its division heads CEOs). Today GE revealed the purchase of two AI companies that Ruh says will get them there. Bit Stew Systems, founded in 2005, was already doing much of what Predix Cloud promises--collecting and analyzing sensor data from power utilities, oil and gas companies, aviation, and factories.


The Legal Case for Blocking the Dakota Access Pipeline

The Atlantic

As part of the ongoing trial, the legal team for the Standing Rock Sioux Tribe submitted documents to the court last Friday that certified one of their main claims in the case: that the pipeline will pass through and likely destroy Native burial sites and sacred places. "This is one of the most significant archeological finds in North Dakota in many years," said Tim Mentz, a Standing Rock Sioux member and a longtime Native archeologist in the Great Plains. "[Dakota Access Pipeline] consultants would have had to literally walk directly over some of these features. The tribe and its legal team say that less than 24 hours after evidence of the new sacred sites were provided to the court, the Dakota Access company began construction on those same exact sites, perhaps destroying many of them forever.


The Left must shed its nostrums of dogma to present a national alternative

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The Left Democratic Front (LDF) government that has taken office in Kerala has both an opportunity and the responsibility to effect a paradigm shift in Indian politics, which would prove vital for resisting and rolling back the rising tide of majoritarianism in the country. Promote producer companies, rather than cooperatives, to run such enterprises. To take part in globalised growth, people need education, skills and health. Defend minority rights with full force, oppose minority customs that conflict with democratic rights, because minority rights in India are underwritten by democracy, not patronised as in, say, the Cochin princely state of yore.


Watch Microsoft Accelerator's Machine Learning Demo Day here

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TechCrunch is pleased to bring you Microsoft Accelerator's Machine Learning Demo Day this Thursday, June 2 from the Showbox SoDo in Seattle. The Microsoft Accelerator is an immersive three- to six-month program aimed at helping entrepreneurs get through the challenges of building a company, finding customers and scaling to global markets. While most of their programs have a focus on enterprise startups, this demo day in Seattle is for companies specifically leveraging machine learning. Plexuss -- A machine learning platform that radically changes the way universities discover and recruit students.