Showing posts with label aramco. Show all posts
Showing posts with label aramco. Show all posts

Sunday, July 31, 2022

My Triumvirate: Rice, MIT, and Google® Scholar


How do you keep up on developments in emerging technology without spending every waking (or sleepless) moment browsing the Internet?

Here is my triumvirate of sources that help me stay on top of new technology developments while still having time to eat and sleep. Maybe something similar will work for you.


The three sources enable me to understand energy policy (Baker Institute), how technology interacts with society (The Download), and papers detailing research results in specific technologies (Scholar).

There are many, many public policy organizations to choose from. I chose to follow the Baker Institute because, based as it is in Houston, its focus tends to be on policy as it impacts energy, and vice versa. It helps me understand the universe within which technologies pertaining to energy develop.

A good description of the Baker Institute appears in a Wikipedia article located at https://en.wikipedia.org/wiki/James_A._Baker_III_Institute_for_Public_Policy

Here is a description of two of the Institute’s recent Webinars …

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Webinar — Entrepreneurship and the Energy Transition: Part I
Monday, April 25, 2022
Zoom Webinar
In the accelerating transition to a lower-carbon world, no city in the United States stands to gain or lose more than Houston, with entrepreneurial businesses and start-up technologies playing critical roles. Part I of this timely series explores Houston’s position at the locus of the global energy transition and offers a national perspective on business and policy considerations affecting energy entrepreneurship. Part II will examine the local and regional ecosystem for energy entrepreneurship and how Houston can maintain its preeminence as the energy capital of the world.
Panelists
Bobby Tudor, J.D.
CEO, Artemis Energy Partners; Retired Founder and CEO of Tudor, Pickering, Holt & Co.
Adria Wilson, Ph.D.
Manager, U.S. Policy and Advocacy, Breakthrough Energy
Bryan Guido Hassin
Co-Founder and CEO, Third Derivative
Moderator
George Webb, J.D.
Scholar for Entrepreneurship, McNair Center for Entrepreneurship & Economic Growth, Baker Institute
This webinar is co-sponsored by the Baker Institute McNair Center for Entrepreneurship & Economic Growth and Center for Energy Studies.
This webinar is free, but registration is required. Once you register, you will receive a confirmation email with instructions about how to access the webinar.
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Webinar — Entrepreneurship and the Energy Transition Part II: The Houston Ecosystem
Monday, May 23, 2022
Zoom Webinar
In the transition to a lower-carbon world, no city in the United States stands to gain or lose more than Houston, with entrepreneurial businesses and start-up technologies playing critical roles. Yet even with its history as a business-friendly city, Houston faces challenges as a hub for energy entrepreneurship. This webinar, the second of a two-part series, brings together key leaders of the energy entrepreneurship ecosystem in Houston to discuss these challenges and explore how entrepreneur-driven innovation can help the city maintain its preeminence as the energy capital of the world. The panel’s focus on Houston builds on Part I of the series, which explored national perspectives on the business and policy considerations affecting energy entrepreneurship.
Panelists
Barbara Burger, Ph.D.
Former President of Chevron Technology Ventures and Former Vice President of Innovation, Chevron
Jan Odegard, Ph.D.
Executive Director, The Ion
Brad Burke
Executive Director, Rice Alliance for Technology & Entrepreneurship
Lara Cottingham
Chief of Staff, Greentown Labs
Moderator
George Webb, J.D.
Scholar for Entrepreneurship, McNair Center for Entrepreneurship & Economic Growth, Baker Institute
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Massachusetts Institute of Technology’s MIT The Download helps me understand how emerging technologies help – and hurt – society. Their approach is to scour the news universe for items of interest, and then to offer commentary on why they matter. We could do the same thing on our own, of course. But why do what The Download folks are already doing for us? Save time. Make yourself a sandwich. Take a shower. Grab some shut eye.

Here are a few items recently profiled by The Download …

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Yann LeCun has a bold new vision for the future of AI
Around a year and a half ago, Yann LeCun realized he had it wrong.

LeCun, who is chief scientist at Meta’s AI lab and one of the most influential AI researchers in the world, had been trying to give machines a basic grasp of how the world works—a kind of common sense—by training neural networks to predict what was going to happen next in video clips of everyday events. But guessing future frames of a video pixel by pixel was just too complex. He hit a wall.

Now, after months figuring out what was missing, he has a bold new vision for the next generation of AI.

In a draft document shared with MIT Technology Review, LeCun sketches out an approach that he thinks will one day give machines the common sense they need to navigate the world.

For LeCun, the proposals could be the first steps on a path to building machines with the ability to reason and plan like humans—what many call artificial general intelligence, or AGI.

His vision is far from being comprehensive; indeed, it may raise more questions than it answers. The biggest question mark, as LeCun points out himself, is that he does not know how to build what he describes. Read the full story.

—Melissa Heikkiläa & Will Douglas Heaven

The smart city is a perpetually unrealized utopia
In a new essay, Chris Salter, an artist and professor of immersive arts at the Zurich University of the Arts, talks about how the concept of the smart city has always changed through the decades.

In it he also asks what role people should play in future cities. He writes: “When we assume that data is more important than the people who created it, we reduce the scope and potential of what diverse human bodies can bring to the “smart city” of the present and future. But the real “smart” city consists not only of commodity flows and information networks generating revenue streams for the likes of Cisco or Amazon.
The smartness comes from the diverse human bodies of different genders, cultures, and classes whose rich, complex, and even fragile identities ultimately make the city what it is.” Read the full essay.

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.
1 The Online Privacy Bill is gathering momentum
The bill aims to curb businesses’ collection of users’ personal data, as well as helping them opt out of targeted advertising. (WSJ $)
 
2 Carbon capture isn’t the quick fix we want it to be
Experts think it’s smarter to channel time, effort and funding into renewables instead. (WP $)
+ The UK wants to capture CO2 and turn it into baking soda. (New Scientist $)
+ Carbon removal hype is becoming a dangerous distraction. (MIT Technology Review)
+ Climate change is altering the way that wine tastes. (Knowable Magazine)

3 A UK musician sued his record label over streaming royalties
Kieran Hebden, better known as Four Tet, argued that the rate he received was unfair. (BBC)
+ Spotify is still waiting for its podcasting gamble to pay off. (Bloomberg $)
+ The platform is testing a social feature to share what you’re listening to. (TechCrunch)
 
4 It’s getting harder to access China’s internet from abroad
The tighter restrictions seem to coincide with the country’s covid-induced isolation. (LA Times)
+ Now China wants to censor online comments. (MIT Technology Review)
 
5 A recession could make some workers too nervous to work from home
Prompting them to head back into offices to prove their worth to their employers. (The Atlantic $)
+ Remote workers want to re-create those watercooler moments. (MIT Technology Review)
 
6 Controversial crypto founder Do Kwon is staging a comeback
Just weeks after his stablecoins imploded, he’s launched a new version of his embattled Terra blockchain network. (WSJ $)
+ Hackers have stolen $100 million from crypto bridge Horizon. (Bloomberg $)
 
7 Even DALL·E mini’s creator doesn’t know why it’s obsessed with women in saris
But the program’s dataset is the most probable culprit. (Rest of World)
+ Popular text-to-image AI generators are staring down the barrel of a safety reckoning. (Time)
 
8 How an AI app could help detect early dementia
It identifies early signs of mild cognitive impairment in under five minutes. (Neo.Life)
 
9 An excitable NFT conference fell for a fake Snoop Dogg called Doop Snogg
There’s a lesson in this, somewhere. (The Guardian)
+ NFT.NYC sounds completely unhinged. (Motherboard)
+ NFTs of canned ice tea is the industry’s hottest property right now. (The Information)
+ I tried to buy an Olive Garden NFT. All I got was heartburn. (MIT Technology Review)
 
10 Want to feel better? Turn off your phone notifications
📱
Ignoring a device’s default settings can free us from its irritations. (FT $)
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Google® Scholar Alerts help me scan the academic and professional literature for research results on particular technologies of interest to me. Creating a Scholar Alert is easy. Basically, you search for something on Scholar. Then you save the search as an Alert. [See Google Scholar Search Strategies Made Easy (https://desulf.blogspot.com/2014/04/google-scholar-search-strategies-made.html )]

One of my Alerts is based on the simple search term Aramco, because Aramco is such a heavy hitter in the energy arena. Aramco is also very involved in a number areas of research. [See Saudi Aramco Research Centers (https://desulf.blogspot.com/2013/04/saudi-aramco-research-centers.html )]

Here are a few of the articles that I have found thanks to the various Alerts I have created …

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Integration Of Industrial Co2 Capture With District Heating Networks-A Refinery Case Study (2021)
The Interaction Of Finance And Innovation For Low Carbon Economy-Evidence From Saudi Arabia (2022)
Digital Twin In Hydrocarbon Industry (2022)
Energy Driven by Internet of Things Analytics and Artificial Intelligence (2022)
Development of Spare-Parts Process Chain in Oil Gas Industry Using Industry 4.0 Concepts (2022)
Assessing Blockchain Technology Adoption In The Norwegian Oil And Gas Industry Using Bayesian Best Worst Method (2022)
Development and Hardware Implementation of IoT-Based Patrol Robot for Remote Gas Leak Inspection (Bahrain 2022)
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Google® Better!
Jean Steinhardt served as Librarian, Aramco Services, Engineering Division, for 13 years. He now heads Jean Steinhardt Consulting LLC, producing the same high quality research that he performed for Aramco.

Follow Jean’s blog at: http://desulf.blogspot.com/ for continuing tips on effective online research
Email Jean at letters@jeansteinhardt.com with questions on research, training, or anything else
Visit Jean’s Web site at http://www.jeansteinhardtconsulting.com/ to see examples of the services we can provide

Saturday, October 10, 2020

Aramco and ResearchGate

You are an engineer, a researcher, a scientist. You want to increase your expertise by expanding your universe of contacts. Try using the following tips to accomplish this …

TIP #1: Google® researchgate aramco

Here is one result …

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ANIFOWOSE, Fatai AdesinaResearch Engineer II,
Artificial Intelligence Group,The Research Institute, Center for Petroleum and Minerals,King Fahd University of Petroleum & Minerals,Dhahran 31261, Saudi Arabia.
Email:
anifowo@kfupm.edu.sa
http://www.linkedin.com/in/fataianifowose
OBJECTIVE
Becoming a key player and a renowned practitioner in the field of Artificial Intelligence and its application in Oil and Gas Reservoir Characterization through Research and Development is my major area of keen interest. With my previous vast experience in different phases of software development and training, I am also looking forward to making a unique and substantial impact in the improvement of software projects and training in terms of quality and prompt delivery in a team-based environment.
Current affiliation: Saudi Aramco
Department: Exploration and Petroleum Engineering Center, Advanced Research Center
Position: Machine Learning Research Scientist
anifowo@kfupm.edu.sa
fanifowose@gmail.com
source: https://kfupm.academia.edu/FataiAnifowose/CurriculumVitae

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TIP #2: After following TIP #1, find email addresses by downloading full text offerings and opening the PDFs. Usually at least one of the authors of any given paper will provide an email address. Note that you may have to register with ResearchGate (www.researchgate.net/) before you can access these files.

Here are some results …

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Muthukumar Nagu, Research and Development Center, Saudi Aramco
muthukumar.nagu@aramco.com

Dr. Kai Morganti
Fuel Technology R&D Division, Saudi Aramco Research & Development Center
kai.morganti@aramco.com

R&D Center, Saudi Aramco
gautam.kalghatgi@aramco.com
marwan.abdullah@aramco.com
hassan.babiker@aramco.com

F. M. Alotaibi
Petrochemicals Research Institute, King Abdulaziz City for Science and Technology (KACST)
fmsalotaibi@kacst.edu.sa

Mansour Al-Shafei
Research and Development Center, Saudi Aramco Dhahran, Kingdom of Saudi Arabia
mansour.shafei@aramco.com

Ye Chen 1, Jing Tao 1, Alaa Ezzeddine 1, Remi Mahfouz 2, Abdullah Al-Shahrani 2, Gasan Alabedi 2 and Niveen M. Khashab 1,*
1 Smart Hybrid Materials (SHMs), Advanced Membranes and Porous Materials Center,
King Abdullah University of Science and Technology (KAUST), Saudi Arabia
E-Mails: tedchan123@163.com ; rechal1101@gmail.com ; alaa.ezzeddine@kaust.edu.sa
2 Oil & Gas Network Integrity Research Team, Research and Development Center, Saudi Aramco
remi.mahfouz@aramco.com ; abdullah.shahrani.13@aramco.com ; gasan.alabedi@aramco.com
* Author to whom correspondence should be addressed E-Mail:
niveen.khashab@kaust.edu.sa ;
source: www.researchgate.net/institution/Saudi_Aramco/members/4
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As you can see, this is tedious work. But it is a means by which you can make contact with significant members of your interest community. Try it. See if it works for you. Then let me know.

TIP #3: Modify the Google® search in TIP #1 to search for experts in other organizations.

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Google® Better!
Jean Steinhardt served as Librarian, Aramco Services, Engineering Division, for 13 years. He now heads Jean Steinhardt Consulting LLC, producing the same high quality research that he performed for Aramco.

Follow Jean’s blog at: http://desulf.blogspot.com/  for continuing tips on effective online research
Email Jean at research@jeansteinhardtconsulting.com  with questions on research, training, or anything else
Visit Jean’s Web site at http://www.jeansteinhardtconsulting.com/  to see examples of the services we can provide


Monday, December 25, 2017

AI AIn’t all that … The Case for Human Intelligence


Large organizations like Google, Amazon, and the NSA, are very interested in using AI (Artificial Intelligence) to manipulate massive amounts of data to their advantage.

However, as of today, AI remains out of reach of individuals. Until we can create AI macros as easily as Word macros, the use of AI at the individual level will be limited.

No doubt that capability will be created by some clever startup.  Until that day, here are some tips on how to use existing automation to your advantage.

This is not the same as AI.  But it does mimic it.  Think of it as human intelligence on steroids.

According to Wikipedia, “
Artificial intelligence (AI, also machine intelligence, MI) is intelligence displayed by machines, in contrast with the natural intelligence (NI) displayed by humans and other animals. In computer science AI research is defined as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of success at some goal.[1] Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving".[2]”

A recent Science magazine article by MIT’s Erik Brynjolfsson et al. details the current state of AI / ML (machine learning), as well as its current limits. One observation is particularly relevant in the context of this post …

“ML systems are very strong at learning empirical associations in data but are less effective when the task requires long chains of reasoning or complex planning that rely on common sense or background knowledge unknown to the computer. Ng's “one-second rule” suggests that ML will do well on video games that require quick reaction and provide instantaneous feedback but less well on games where choosing the optimal action depends on remembering previous events distant in time and on unknown background knowledge about the world (e.g., knowing where in the room a newly introduced item is likely to be found). Exceptions to this are games such as Go and chess, because these nonphysical games can be rapidly simulated with perfect accuracy, so that millions of perfectly self-labeled training examples can be automatically collected. However, in most real-world domains, we lack such perfect simulations.”

The article is rich in insights on AI/ML, and well worth the 10 or 15 minutes it takes to read it.  Here are details …

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What can machine learning do? Workforce implications

Science  22 Dec 2017:
Vol. 358, Issue 6370, pp. 1530-1534
source: http://science.sciencemag.org/content/358/6370/1530.full
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So now to the point of this post.  While AI is far from reaching its full potential, and very far from useful applications at the individual level, there is one concept that can guide us in the intelligent use of existing tools: augmentation.

By recognizing that the best way to use existing tools is to integrate them into your work practice, you can simulate AI, thereby augmenting your intelligence. Neat, huh? Whereas AI simulates your intelligence, and you will be simulating AI.

Here is a five point action plan …

Create alerts
Browse the results as they come into your email account
Select the results that work for you
Analyze the results
Connect the dots (authors, organizations, topics)

Of course, automation plays a role only in the first step … the Alerts. All the other steps require HI – Human Intelligence. When we are able, as individuals, to automate these steps, AI will have arrived.

To illustrate, here is an example of how I employ the five point strategy.

Step 1: Google® Scholar alert searching for aramco.
This is a simple but, for me, effective search strategy. Because Saudi Aramco researches many of the topics of interest to me, my alert follows Aramco rather than each individual topic.

Step 2: When Aramco results appear in my inbox, I read them. Seems obvious, but you know how unread emails tend to pile up in your inbox.

Step 3: I select the results that interest me. For example, in recent Aramco results I chose the following items …
Leveraging the benefits of ethanol in advanced engine-fuel systems
Recent progress in gasoline surrogate fuels
Organotemplate-free synthesis of hierarchical beta zeolites
Crude oil to chemicals: a cheaper way to petrochemicals?
CFD Guided Gasoline Compression Ignition Engine Calibration
Modeling the Fuel Spray of a High Reactivity Gasoline Under Heavy-Duty Diesel Engine Conditions
Determination of heavy polycyclic aromatic hydrocarbons by non-aqueous reversed phase liquid chromatography: Application and limitation in refining streams
A Computational Investigation of Fuel Chemical and Physical Properties Effects on Gasoline Compression Ignition in a Heavy-Duty Diesel Engine
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Step 4: I read and analyze the selected results.
The abstract tells me whether I want to read the whole article.  It also provides keyword clues for future searches.
For example:
In the abstract of the article Leveraging the benefits of ethanol in advanced engine-fuel systems appears this sentence …
“Hydrous ethanol is immiscible in gasoline, and is therefore utilized as a high-octane fuel for the Octane-on-Demand concept.”

Two possible future strategies could be to use the keyword phrases hydrous ethanol, and octane-on-demand in future Google® Scholar alerts.

Step 5: I connect the dots
The author field offers clues to experts that may be worth following. Ditto for the organizations listed in each record.
By connecting the experts and/or the organizations to topics of interest to me, I have clues for further research and/or alerts.
For example:
The articles listed in Step 3 above reveal, among many other potential connections …
Steven Przesmitzki, Strategic Transport Analysis Team, Aramco Research Center – Detroit, Aramco Services Company, MI, USA
S.Mani Sarathy, Aamir Farooq, Gautam T. Kalghatgi, King Abdullah University of Science and Technology, Clean Combustion Research Center, Thuwal, Saudi Arabia
Ke Zhang, Sergio Fernandez, Jeremy T. O’Brien, Tatiana Pilyugina, Sarah Kobaslija, Michele L. Ostraat, Aramco Services Company, Aramco Research Center - Boston, 400 Technology Square, Cambridge, MA 02139
Yuanjiang Pei, Tom Tzanetakis, Yu Zhang, Michael Traver, David J. Cleary
Aramco Services Company, Novi, MI
Saroj K. Panda, Hendrik Muller, Thunayyan A. Al-Qunaysi, Omer R. Koseoglu, Saudi Aramco, Research & Development Center, 31311, Dhahran, Saudi Arabia

This little bit of information suggests all sorts of directions for further research. For example, Aramco produces peer reviewed papers at centers in Detroit and Boston.  Further research reveals that Aramco also has research centers in Houston and France.

Along other lines, you will find that Omer R. Koseoglu is prolific in published patents and peer reviewed literature. If his field of interest matches yours, he would be an expert worth following.

These two examples just scratch the surface. If you know how to automate the task of making these connections, I would love to know how you do so. Most of us, however, must still rely on mere human intelligence to make the necessary connections.

TIP: Until AI matures to full adulthood, if you are in charge of a research lab, and if you see no value in hiring (or not laying off) a librarian, please consider using your librarian to help boost your lab’s effectiveness.