How is technology affecting the energy sector? These experts weigh in. Getty Images

Last week, Houston-based Pink Petro hosted its annual conference — but, quite like other events across the country, it took a very digital approach.

Energy 2.0, formerly called HerWorld, was always going to be streamed from two locations — Denver and Houston — but the conference, which took place from March 9 to 11, likely had more digital attendees than previous years thanks to the rising threat of COVID19, or the coronavirus.

The digital shift was pretty on par with the conversation of the "unconference," as its called. The last panel of March 10 was how tech was rattling the energy industry. Three panelists discussed the effect of technology on the industry, climate change, startups, and more. Here are some of the panelists best points made during this event.

“Technology isn’t new to the energy sector. The energy sector is used to adopting and adapting to new technologies. What we are talking about now is digital technology, and what’s happening there — we are not familiar with that.”

Geeta Thakorlal, president at Worley Digital. It's not innovation that's unfamiliar to energy companies, but the digital aspect, which includes introducing new tech from outside the industry. "When you talk about adoption and use of digital technology, it means different things to different people," she adds.

"We’re taking a look at technology, but also addressing the people [aspect] — looking at what people are doing with technology and how the social issues are impacted by technology."

Jennifer Hohman, CIO and vice president, at Seadrill. The conversation started with a broad scope on how the energy industry is approaching technology, and Hohman cites climate change and sex trafficking — two issues the industry has been affecting.

“As society is changing, we start to worry about people’s safety — that’s very natural in our industry, but moving that into what about social issues or even renewables."

David Reid, CMO of National Oilwell Varco. Reid adds that the energy industry is aware of its role in the world and has a people-centric approach to technology, including being aware of how it affects the people involved in the energy company's supply chain. "I think it all ties together."

“Technology is constantly going to move fast — we have to continue to face that.”

Hohman says on the energy industry adapting to technology, adding that tech allows for more collaboration — something energy companies should be doing, even if it means collaborating with a competitor.

"What the tech sector has done is actually helped energy industry because they challenged all these norms — diversity of thought, fail and fail fast — you don't use that language in the energy sector."

Thakorlal says, explaining that influences from the tech sector have been crucial. Ultimately, big tech companies are looking to small startups for innovation, and energy companies will be doing more of that as well. "The tech companies have had to learn it's not they who has got the solutions, and the energy sector has learned that too."

“We’ve got a world that wants a change, and does not know and understand what we’ve done.”

Reid says on the topic of the energy industry's role in the future of the sector. "What's missing is the potential of our industry to make a difference."

“The biggest barrier to advancing technology is fear — people not really understanding. Fear is a choice.”

Thakorlal says, adding that fear is a choice companies can make — but shouldn't. Instead, they should maintain their business while simultaneously adopting tech that will be key in the future. "We say in our organization that if you talk about energy transition or digital transformation in our sector, it's not an 'either/or' it's an 'and.' We have to keep doing what we are doing and transition that to what we want the future to be."

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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.”