"To solve the climate crisis, confidence in emissions data is crucial." Photo via Getty Images

Sustainability has been top of mind for all industries as we witness movements towards reducing carbon emissions. For instance, The Securities and Exchange Commission (SEC) proposed a new rule that requires companies to disclose certain climate-related activities in their reporting on a federal level. Now, industries and cities are scrambling to ensure they have strategies in the right place.

While the data behind sustainability poses challenges across industries, it is particularly evident in oil and gas, as their role in energy transition is of the utmost importance, especially in Texas. We saw this at the COP26 summit in Glasgow last November, for example, in the effort to reduce carbon emissions on both a national and international scale and keep global warming within 1.5 degrees Celsius.

The event also made it clear achieving this temperature change to meet carbon neutrality by 2030 won’t be possible if organizations rely on current methods and siloed data. In short, there is a data problem associated with recent climate goals. So, what does that mean for Houston’s oil and gas industry?

Climate is a critical conversation – and tech can help

Houston has long been considered the oil and gas capital of the world, and it is now the epicenter of energy transition. You can see this commitment by the industry in the nature of the conferences as well as the investment in innovation centers.

In terms of the companies themselves, over the past two years each of the major oil and gas players have organized and grown their low carbon business units. These units are focused on bringing new ideas to the energy ecosystem. The best part is they are not working alone but joining forces to find solutions. One of the highest profile examples is ExxonMobil’s Carbon Capture and Underground Storage project (CCUS) which directly supports the Paris Agreement.

Blockchain technology is needed to improve transparency and traceability in the energy sector and backing blockchain into day-to-day business is key to identifying patterns and making decisions from the data.

The recent Blockchain for Oil and Gas conference, for instance, focused on how blockchain can help curate emissions across the ecosystem. This year has also seen several additional symposiums and meetings – such as the Ion and Greentown Houston – that focus on helping companies understand their carbon footprint.

How do we prove the data?

The importance of harmonizing data will become even more important as the SEC looks to bring structure to sustainability reporting. As a decentralized, immutable ledger where data can be inputted and shared at every point of action, blockchain works by storing information in interconnected blocks and providing a value-add for insuring carbon offsets. To access the data inside a block, users first need to communicate with it. This creates a chain of information that cannot be hacked and can be transmitted between all relevant parties throughout the supply chain. Key players can enter, view, and analyze the same data points securely and with assurance of the data’s accuracy.

Data needs to move with products throughout the supply chain to create an overall number for carbon emissions. Blockchain’s decentralization offers value to organizations and their respective industries so that higher quantities of reliable data can be shared between all parties to shine a light on the areas they need to work on, such as manufacturing operations and the offsets of buildings. Baking blockchain into day-to-day business practice is key in identifying patterns over time and making data-backed decisions.

Oil and gas are key players

Cutting emissions is not a new practice of the oil and gas industry. In fact, they’ve been cutting emissions estimates by as much as 50 percent to avoid over-reporting.

The traditional process of reporting data has also been time-consuming and prone to human error. Manually gathering data across multiple sources of information delivers no real way to trace this information across supply chains and back to the source. And human errors, even if they are accidental, pose a risk to hefty fines from regulatory agencies.

It’s a now-or-never situation. The industry will need to pivot their approaches to data gathering, sharing, and reporting to commit to emissions reduction. This need will surely accelerate the use of technologies, like blockchain, to be a part of the energy transition. While the climate challenges we face are alarming, they provide the basis we need for technological innovation and the ability to accurately report emissions to stay in compliance.

The Energy Capital of the World, for good

To solve the climate crisis, confidence in emissions data is crucial. Blockchain provides that as well as transparency and reliability, all while maintaining the highest levels of security. The technology provides assurance that the data from other smart technologies, like connected sensors and the Internet of Things (IoT), is trustworthy and accurate.

The need for good data, new technology, and corporate commitment are all key to Houston keeping its title as the energy capital of the world – based on traditional fossil fuels as well as transitioning to clean energy.

------

John Chappell is the director of energy business development at BlockApps.

Siloed data, lack of consistency, and confusing regulations are all challenges blockchain can address. Photo via Getty Images

Houston expert: Blockchain is the key to unlocking transparency in the energy industry

guest column

Houston has earned its title as the Energy Transition Capital of the world, and now it has an opportunity to be a global leader of technology innovation when it comes to carbon emissions reporting. The oil and gas industry has set ambitious goals to reduce its carbon footprint, but the need for trustworthy emissions data to demonstrate progress is growing more apparent — and blockchain may hold the keys to enhanced transparency.

Despite oil and gas companies' eagerness to lower carbon dioxide emissions, current means of recording emissions cannot keep pace with goals for the future. Right now, the methods of tracking carbon emissions are inefficient, hugely expensive, and inaccurate. There is a critical need for oil and gas companies to understand and report their emission data, but the complexity of this endeavor presents a huge challenge, driven by several important factors.

Firstly, the supply chain is congested with many different data sources. This puts tracking initiatives into many different silos, making it a challenge for businesses to effectively organize their data. Secondly, the means of calculating, modeling, and measuring carbon emissions varies across the industry. This lack of consistency leaves companies struggling to standardize their outputs, complicating the record-keeping process. Finally, the regional patchwork of regulations and compliance standards is confusing and hard to manage, resulting in potential fines and the headaches associated with being found noncompliant.

Better tracking through blockchain

When it comes to tracking carbon emissions, the potential for blockchain is unmatched. Blockchain is an immutable ledger, that allows multiple parties to securely and transparently share data in near real time across the supply chain. Blockchain solutions could be there at every step of operations, helping businesses report their true emissions numbers in an accurate, secure way.

Oil and gas companies are ready to make these changes. Up to now, they've been using outdated practices, including manually entering data into spreadsheets. With operations spread across the world, there is simply no way to ensure that numbers have been accurately recorded at each and every point of action if everything is done manually. Any errors, even if they're accidental, are subject to pricey fines from regulatory agencies. This forces businesses into the costly position of overestimating their carbon emissions. Instead of risking fines, energy companies choose to deflate their carbon accomplishments, missing out on valuable remediation credits in the process. In addition, executives are forced to make decisions based on this distorted data which leaves projects with great potential to cut carbon emissions either underfunded or abandoned entirely.

In conversations with the super majors, they've reported that they have cut emission reduction estimates by as much as 50% to avoid over-reporting. This is anecdotal, but demonstrates a real problem that results in slower rates to meet targets, missed opportunities, and unnecessary expenditures.

There are so many opportunities to integrate blockchain into the energy industry but tackling the carbon output data crisis should come first. Emissions data is becoming more and more important, and oil and gas companies need effective ways to track their progress to drive success. It's essential to start at the bottom and manage this dilemma at the source. Using blockchain solutions would streamline this process, making data collection more reliable and efficient than ever before.

Houston is on the right track to lead the world in energy innovation — local businesses have made impressive, action-driven efforts to make sure that our community can rightfully be called the Energy Capital of the World. The city is in a great position to drive net-zero carbon initiatives worldwide, especially as sustainability becomes more and more important to our bottom lines. Still, to maintain this command, we need to continue to look forward. Making sure we have the best data is critical as the energy world transitions into the future. If Houston wants to continue to be a leader in energy innovation, we need to look at blockchain solutions to tackle the data problem head on.

------

John Chappell is the director of energy business development at BlockApps.

Ad Placement 300x100
Ad Placement 300x600

CultureMap Emails are Awesome

Houston doctor wins NIH grant to test virtual reality for ICU delirium

Virtual healing

Think of it like a reverse version of The Matrix. A person wakes up in a hospital bed and gets plugged into a virtual reality game world in order to heal.

While it may sound far-fetched, Dr. Hina Faisal, a Houston Methodist critical care specialist in the Department of Surgery, was recently awarded a $242,000 grant from the National Institute of Health to test the effects of VR games on patients coming out of major surgery in the intensive care unit (ICU).

The five-year study will focus on older patients using mental stimulation techniques to reduce incidences of delirium. The award comes courtesy of the National Institute on Aging K76 Paul B. Beeson Emerging Leaders Career Development Award in Aging.

“As the population of older adults continues to grow, the need for effective, scalable interventions to prevent postoperative complications like delirium is more important than ever,” Faisal said in a news release.

ICU delirium is a serious condition that can lead to major complications and even death. Roughly 87 percent of patients who undergo major surgery involving intubation will experience some form of delirium coming out of anesthesia. Causes can range from infection to drug reactions. While many cases are mild, prolonged ICU delirium may prevent a patient from following medical advice or even cause them to hurt themselves.

Using VR games to treat delirium is a rapidly emerging and exciting branch of medicine. Studies show that VR games can help promote mental activity, memory and cognitive function. However, the full benefits are currently unknown as studies have been hampered by small patient populations.

Faisal believes that half of all ICU delirium cases are preventable through VR treatment. Currently, a general lack of knowledge and resources has been holding back the advancement of the treatment.

Hopefully, the work of Faisal in one of the busiest medical cities in the world can alleviate that problem as she spends the next half-decade plugging patients into games to aid in their healing.

Houston scientists develop breakthrough AI-driven process to design, decode genetic circuits

biotech breakthrough

Researchers at Rice University have developed an innovative process that uses artificial intelligence to better understand complex genetic circuits.

A study, published in the journal Nature, shows how the new technique, known as “Combining Long- and Short-range Sequencing to Investigate Genetic Complexity,” or CLASSIC, can generate and test millions of DNA designs at the same time, which, according to Rice.

The work was led by Rice’s Caleb Bashor, deputy director for the Rice Synthetic Biology Institute and member of the Ken Kennedy Institute. Bashor has been working with Kshitij Rai and Ronan O’Connell, co-first authors on the study, on the CLASSIC for over four years, according to a news release.

“Our work is the first demonstration that you can use AI for designing these circuits,” Bashor said in the release.

Genetic circuits program cells to perform specific functions. Finding the circuit that matches a desired function or performance "can be like looking for a needle in a haystack," Bashor explained. This work looked to find a solution to this long-standing challenge in synthetic biology.

First, the team developed a library of proof-of-concept genetic circuits. It then pooled the circuits and inserted them into human cells. Next, they used long-read and short-read DNA sequencing to create "a master map" that linked each circuit to how it performed.

The data was then used to train AI and machine learning models to analyze circuits and make accurate predictions for how untested circuits might perform.

“We end up with measurements for a lot of the possible designs but not all of them, and that is where building the (machine learning) model comes in,” O’Connell explained in the release. “We use the data to train a model that can understand this landscape and predict things we were not able to generate data on.”

Ultimately, the researchers believe the circuit characterization and AI-driven understanding can speed up synthetic biology, lead to faster development of biotechnology and potentially support more cell-based therapy breakthroughs by shedding new light on how gene circuits behave, according to Rice.

“We think AI/ML-driven design is the future of synthetic biology,” Bashor added in the release. “As we collect more data using CLASSIC, we can train more complex models to make predictions for how to design even more sophisticated and useful cellular biotechnology.”

The team at Rice also worked with Pankaj Mehta’s group in the department of physics at Boston University and Todd Treangen’s group in Rice’s computer science department. Research was supported by the National Institutes of Health, Office of Naval Research, the Robert J. Kleberg Jr. and Helen C. Kleberg Foundation, the American Heart Association, National Library of Medicine, the National Science Foundation, Rice’s Ken Kennedy Institute and the Rice Institute of Synthetic Biology.

James Collins, a biomedical engineer at MIT who helped establish synthetic biology as a field, added that CLASSIC is a new, defining milestone.

“Twenty-five years ago, those early circuits showed that we could program living cells, but they were built one at a time, each requiring months of tuning,” said Collins, who was one of the inventors of the toggle switch. “Bashor and colleagues have now delivered a transformative leap: CLASSIC brings high-throughput engineering to gene circuit design, allowing exploration of combinatorial spaces that were previously out of reach. Their platform doesn’t just accelerate the design-build-test-learn cycle; it redefines its scale, marking a new era of data-driven synthetic biology.”