Penrose's advance process control software can increase production by 10 to 15 percent in downstream oil and gas refineries. Pexels

In the next 30 years, the world will need 30 percent more energy due to population growth. While energy production will increase to keep up with demand, there is an increasing concern with the impact on the environment.

"How do you produce more energy without emission increases or more air quality pollution?" asks Erdin Guma, CFO of Penrose Technologies.

According to Guma, Penrose is uniquely well-suited to solve these serious challenges with its advanced process control technology increases the productivity of a chemical plant or refinery by 10 to 15 percent. The increase in productivity means the plants use less fuel to produce the energy. The plant then releases fewer emissions while producing the same amount of energy.

The technology itself is an automation software — similar to autonomous software on a plane. The autonomous operation increases downstream productivity, which brings about the energy efficiency.

"Our autopilot software (like a human operator) can manage and foresee any unexpected disturbances in the plant," Guma explains. "The achievements that the Penrose technology has brought about seemed impossible to chemical and process engineers in the refinery space a few years ago."

Penrose recently signed its first project with one of the biggest downstream firms in the world. With a network of refineries and petrochemical plants around the world, this contract could lead to a global roll out of the Penrose technology.

A ground-breaking technology for O&G
The word "Penrose" is taken from a penrose triangle, an impossible geometrical object. Guma explained that the energy efficiency brought about from their software seemed impossible at first. Penrose has been able to reduce emissions inside plants and refineries by 15 to 20 percent while keeping production at the same level.

In 2007, a chief engineer working at a major oil and gas processing plant in Houston procured the technology for one of his plants. When the engineer saw how well the technology worked, he founded Penrose Technologies in 2017 with Tom Senyard, CTO at Penrose, who originally developed the technology.

After starting the company at the end of 2007, Penrose joined Station Houston. Guma said that by becoming a member, Penrose was able to plug into a large refining and petrochemical network.

"Penrose Technologies is completely self-financed. We worked with [Station Houston] as we finalized the software to find out what potential customers thought of the product. For us, Station Houston has been a great sounding board to potential investors in the company," Guma says.

Guma also explained that while there has been an uptick in innovation in the last few years, the refining and petrochemical business is traditional a slow mover in the uptake of innovation.

"I think more major oil and gas firms are becoming attune to startups and the innovation solutions they offer," Guma says.

He went on to explain that the biggest challenge Penrose faces is perception. Since the software allows plant operators and engineers at the plant to be hands off in the processes, there is a concern with reliability. For industry insiders, any viable product must be reliable even when process conditions at the plant change, which can happen often.

"The Penrose software is maximum hand off control from operators, and the reliability of our software gives us a huge edge in other competing products that can be unreliable," Guma says.

Future growth on a global market
Given the pressing need for more environmentally sustainable energy production, new technology will be adopted in the oil and gas energy. As Guma explains it, there will be no way to continue producing energy as it's been produced for decades because the negative effects of air pollution and emissions will be too severe — particularly in the areas where refineries operate.

"We see the global market for this type of technology as severely underserved," Guma says. "It's a big and sizable market, and I think we can reach a $2 to $3 billion valuation in the next five years."

With a core team of six employees in Houston, Penrose's software is now commercially available, and the company is in full growth mode at this point. The software can be distributed directly to customers, but they are working to develop distribution with major engineering companies as well.

Guma is grateful to be in an environment conducive to energy start-ups. He sees Houston as a major advantage given its proximity to the energy sector.

"No technology rises up in a vacuum. Any new technology needs a good ecosystem to come from," says Guma. "Houston was that ecosystem for Penrose."

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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.”