Tag Archive for: Big Data

Hydrofracking Wastewater Treatment Market to Triple

Hydrofracking wastewater treatment market to triple

The U.S. market for treating produced water and flowback water generated during the process of hydrologic fracturing, or “fracking,” in oil and gas production will increase substantially from $138 million in 2014 to $357 million in 2020, according to a recent report by Bluefield Research (Boston, MA).

The report finds that, overall, the U.S. oil and gas industry will spend $6.38 billion in 2014 on water management, including water supply, transport, storage, treatment, and disposal. The transport and disposal components will account for 66% of the total costs, while treatment will only constitute 2% of that expenditure this year, but treatment will gain as the industry requires more reuse of its wastewater. The “fracking” industry has been a kind of “wild west” for the U.S. water industry, according to Bluefield analyst Reese Tisdale, because of the explosive build-out of fracking wells, the lack of clear regulation of water management in key markets, and the absence to date of a consistent method for treating the wastewater.

Locus’ Intellus Site Creates Big Data Transparency in the Cloud; Millions of Environmental Data Records are Now Publicly Available

Through the Locus EIM platform public facing website, Intellus, the general public can now access remediation and environmental data records associated with the Office of Environmental Management’s (EM’s) legacy nuclear cleanup program.

Containing more than 14 million records, Locus’ Intellus has consolidated Los Alamos National Laboratory’s (LANL’s) information that was previously handled in multiple independent databases. The centralized, cloud-based solution directly attributed to an estimated $15 million in cost savings for LANL through 2015.

The public facing site also ensures users have real-time access to the most recent data. The same data that scientists and analysts use to base important environmental stewardship decisions off of. Through tools and capabilities such as automated electronic data validation, interactive maps, and the ability to include data from other third-party providers and environmental programs, Intellus provides the ultimate platform to view LANL’s environmental data without compromising the core EIM system that LANL scientists use on a daily basis.

Locus has always advocated for the power of data transparency via the cloud. When you apply the most extensive security protocols to a cloud-based system, it can be a winning combination for data management and public trust.

Predicting the Big Data Boom: Hazardous Data Explosion

In 1989, 25 years before the technologically advanced world we currently live in, Locus’ founding members were busy publishing an article about the challenges of managing massive amounts of data produced from testing and long-term monitoring at hazardous waste sites.

The article, “Hazardous Data Explosion“, published in the December 1989 issue of the ASCE Civil Engineering Magazine was among the first of its kind to discuss these issues within the environmental space, and placed Locus securely at the forefront of the big data craze.  This article was followed by a sequel article, titled “Taming Environmental Data“, published in 1992 in the same magazine.

Today, the term ‘big data’ has become a staple across various industries to describe the enormity and complexity of data sets that need to be captured, stored, analyzed, visualized and reported. Although the concept may have gained public popularity fairly recently, big data has been a formidable opponent for decades.

“It seems unavoidable that new or improved automated data processing techniques will be needed as the hazardous waste industry evolves. Automation can provide tools that help shorten the time it takes to obtain specific test results, extract the most significant finds, produce reports and display information graphically,” Buckle and Duplan stated.

They also claimed that “expert systems” and artificial intelligence (AI) could be a possible solution—technology that has been a long time coming but still has a promising future when dealing with big data.  “Currently used in other technical fields, expert systems employ methods of artificial intelligence for interpreting and processing large bodies of information,” the authors explained.

For more information on AI, see the CBS 60 Minutes episode titled “Artificial Intelligence, Real-Life Applications” from 9 October 2016.

Almost 30 years later, cloud technologies combined with other advancements in big data processing are rising to the challenge of successfully processing and analyzing big environmental and sustainability data.

Access the entire 1989 article “Hazardous Data Explosion” here.

A Planet of Environmental Data

Today, every discussion about changes in environment must begin with data. In its exponentially increasing volume, velocity and variety, environmental data is becoming a new corporate and natural resource. It promises to be for the 21st century what steam power was for the 18th, electricity for the 19th and hydrocarbons for the 20th. This is what we mean when we say environmental data management.

Thanks to a proliferation of measurement devices, lower detection limits,  and the infusion of technology into all things and processes, the environmental industry is now generating huge amounts of data and 80 percent of it is “unstructured”—everything from images, video and audio to social media and rivers of data from embedded sensors and distributed devices. Managing these data in databases built only 10 years ago is either not possible or is very expensive.

Managing this data at enterprise level is our core business. To capture this growth potential, we have built the world’s broadest and deepest capabilities in environmental and sustainability Big Data and analytics—both technology and domain expertise. Two-thirds of Locus Research’s work is now devoted to environmental data, analytics and automated reporting. Locus provides the full array of capabilities our clients need to extract the value of Big Data. They can mine multiple structured and unstructured data sets across their business. They can apply a range of analytics—from descriptive to predictive to prescriptive. And importantly, they can capture the time value of data. This matters, because the battle for competitive advantage in this new world can be lost or won in fractions of a second.

Our data and analytics portfolio today is the deepest in the industry. It includes decision management, content analytics, planning and forecasting, discovery and exploration, business intelligence, predictive analytics, data and content management, stream computing, data warehousing, information integration and governance.  “Traditional computing systems, which only do what they are programmed to do, simply cannot keep up with Big Data in constant motion.” For that reason late last year we launched the all new Locus EERP platform. In the process, we believe Locus will change the nature of environmental management and reporting.

At the same time that industries and professions are being remade by data, the information technology infrastructure of the world is being transformed by the emergence of cloud computing—that is, the delivery of IT and business processes as digital services. It is estimated that by 2016, more than one-fourth of the world’s applications will be available in the cloud, and 85 percent of new software is now being built for cloud. Locus pioneered cloud computing in environmental industry since its inception in 1997. No other company has a track record of 15 years of managing enterprise environmental and sustainability data in the cloud with no down time.

Conversations with Data

I was amazed with this presentation about data visualization by National Geographic Emerging Explorer and data artist Jer Thorp. We are witnessing a new revolution in data visualization and one of biggest possible benefactors of these new technologies will be environmental and sustainability professionals. But before data can be put to a good use and hard work it needs to be 1) owned, 2) organized, and 3) socialized. With Cloud-based technologies all three are now possible. Data is the new oil!
Jer Thorp translates unimaginable blurs of information into something we can see, understand, and feel—data made human through visualizations that blend research, art, software, science, and design.

[youtube=http://www.youtube.com/watch?v=dmzdqRIS7SI]

The Environmental and Sustainability Big Data Era is Here

Move over ‘social media’ and ‘apps’, there’s a new buzzword in town. And it’s beginning to roll off the tips of the tongues of techies just like ‘green’ does for environmental professionals. They call it ‘big data’.

Big data refers to the massive amount of data compiled over time that becomes difficult to manage and analyze due to its size. When you think about all the environmental and sustainability information that’s being collected nowadays- analytical data, emissions data, geology, water quality, toxic waste data, hazardous materials, health and safety data, exposure data, as well as videos, photos, activity logs, and social media posts – when does it become too much? Because of the enormous quantity of environmental data, we begin the difficult task of looking for useful information, like searching for a needle in a haystack, and we often end up never finding it. We are witnessing a huge data explosion happening in our industry and few companies are ready to deal with the data avalanches heading their way.

Peter Thiel, co-founder of Palantir, the California start-up working to transform how information is analyzed, has an insightful take on this topic. “Most of ‘big data’ is a fraud, because it is really ‘dumb data,’” he says. “For the most part, we would need something like artificial intelligence to turn the ‘dumb data’ into ‘smart data,’ and the reality is that we are still pretty far from developing that sort of artificial intelligence.”

The unavoidable truth is that all this information can become a problem, and can easily overwhelm those dealing with it- to the point where the information’s value is completely overlooked. However, while technology is far from handling this perfectly, it can still arise to the challenge of placing big data on a sensible diet. By sensible, I mean breaking down the fat into healthier, more digestible chunks. This functionality helps to cure headaches and quells the instinct to immediately sweep big data under the rug. So, how can this much-needed level of sensibility be reached in the environmental and sustainability industry?

Enter: the Cloud. Web-based, user-friendly platforms have the capability to store large amounts of data while also dissecting and organizing it into more manageable and comprehensible bits of information. Locus Cloud was developed specifically as a big data management platform for the environmental and sustainability industry. It gives large corporations dealing with big data the ability to pull essential facts and intelligence out of the depths of information overload and turn it into actionable information that not only helps with compliance and reporting, but also stands to significantly lower the company’s operating cost.

It’s time for today’s environmental, health, safety, and sustainability professionals to capitalize on the benefits that big data present. Stop quivering with intimidation, stand up and look your big data square in the eye, and wring it like a wet towel, squeezing out all the value that you possibly can.

Tag Archive for: Big Data

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