Reducing Lost and Unaccounted-for Gas with Coriolis Flow Measurement

Posted 2 days ago, under Flow, Oil & Gas
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Every three years, the World Gas Conference convenes. It is:

…the most important global gas industry gathering of influential leaders, policy-makers, buyers, sellers and experts.

Emerson's Marc Buttler


Emerson’s Marc Buttler will present at this year’s conference, June 25-29 in Washington DC. His presentation, Calibration Options for Coriolis Meters in Natural Gas Measurement, will discuss how:

Coriolis meters are creating new opportunities to improve transmission and distribution systems for enhanced reliability, reductions in lost and unaccounted for (LAUF) gas, and increased project velocity and certainty. This presentation describes the multiple options that are available to calibrate a Coriolis meter for natural gas measurement, and explains the advantages and disadvantages to consider when choosing the best method for any given project or application.

Marc will highlight the American Gas Association’s AGA Report 11 and: Continue Reading ▶

How to Setup Keystone Actuator Mechanical Limits

Posted 5 days ago, under Actuator
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As part of Emerson’s acquisition of the Pentair Valves and Controls business, the Keystone brand of valves and actuators joined the final control area of Emerson Automation Solutions. Over on the Bettis YouTube channel, is a great series of videos in setting up Keystone EPI2 electric actuators.

I’ll recap a few points made in the first video, Keystone EPI2 Setup & Commissioning Video 1 Setting Mechanical Limits, in this seven-part series.

Continue Reading ▶

Midstream Oil and Gas Operator Digital Transformation

Posted 6 days ago, under Oil & Gas
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Emerson's Chuck Miller


In several of the upstream oil & gas-related blog posts we highlighted digital transformation opportunities and activities. But what about in the midstream sector including gas processing facilities, pipelines and storage terminals?

In a Pipeline Industry Report article, Emerson Committed to Digital Transformation, Emerson’s Chuck Miller describes the opportunity for businesses in the midstream sector in the Middle East regions. These same ideas apply to companies in the other world areas as well. Continue Reading ▶

Effective Corrosion Mitigation for Refineries

Posted 1 week ago, under Refining, Wireless
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Emerson's Tim Olsen


Crude oil from shale producing regions, also known as tight oils, are opportunity crudes for refineries. These differ from the traditional sources of crude oil from large reservoirs in their widely varying properties. These properties include specific gravity, sulfur content, total acid number (TAN), and more.

In an AIChE’s CEP magazine article, Implement an Effective Corrosion Mitigation Program, Emerson’s Tim Olsen describes how these opportunity crudes increase the opportunity for piping and equipment corrosion and how refiners can address this challenge. Continue Reading ▶

Improving Oil and Gas Exploration Performance

Posted 2 weeks ago, under Oil & Gas
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Emerson's Peter Wang


We often discuss aspects of the production side of the upstream oil & gas business, but less so with the exploration side. In December of last year, Emerson completed the acquisition of Paradigm. An array of software tools enables oil & gas producers to gain deeper insight into the subsurface, reduce uncertainty and support responsible asset management.

Emerson’s Peter Wang is a very active voice in the geophysical part of this industry. He recapped his 2017 public activities in a great LinkedIn post, 2017 Personal Year in Review – Talking about Geophysics. Let me recap a few items from some of his blog posts and invite you to subscribe to the blog.

In a post, The Robots Have Come to Seismic Interpretation, Peter describes the machine learning in applications such as Google Photos that can recognize the content within a picture and return the pictures in search results. This same machine learning technology has come to seismic interpretation software such as Paradigm Rock Type Classification. He notes how our brains have dimensional (3D) limitations. Machine learning: Continue Reading ▶

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