The pandemic can be an opportunity to accelerate a workforce transformation. Photo by Sarote Pruksachat/Getty

When considering the future of energy, you might see a world powered by cleaner energy sources and guided by bots and algorithms in the workplace. But digitalization and decarbonization are complex transitions. The road ahead will mix human talent with cutting-edge technologies, fossil fuels with low-carbon alternatives, next-generation renewables and energy storage.

These trends present a potentially dizzying array of challenges for the oil and gas industry. Today's strategies for tomorrow's reality require skills that are continuing to evolve and jobs that haven't been defined yet — all against a backdrop of unprecedented uncertainty and disruption.

This past year, the COVID-19 pandemic has accelerated digital adoption while reducing energy demand and prices, causing companies to focus on survival. Now more than ever, the industry must find an investment balance between addressing current market pressures and positioning for the future.

EY's 2020 Oil and Gas Digital Transformation and the Workforce Survey shows that 58% of oil and gas executive respondents agree that COVID-19 has made investing in digital technology more urgent, with 80% planning to invest at least a moderate amount relative to their total budget in digital technology today. The most popular targets of that money include remote monitoring, mobile platforms or apps, cloud computing, and operational technology.

However, digital technologies alone are not a panacea. Digital integration is a process that requires human and organizational investment. Nearly all respondents in the EY survey said that too few workers with the right skills in the current workforce is a major or minor challenge to technology adoption, with executives identifying nearly 60% of the workforce as needing to be reskilled or upskilled.

The need to incorporate an intentional skills strategy into digital implementation is crucial. It will require change management and leadership commitment to address human and organizational challenges alongside digital investments. Looked at positively, the pandemic can be an opportunity to reset the agenda and accelerate a workforce transformation in which rig workers, data scientists, internet of things, and remote monitoring sensors are all co-workers building toward a new future.

Organizational challenges hindering technology adoption
Challenges to digital adoption and workforce reskilling can be embedded deep in a company's structure, processes, and culture. Over half of oil and gas executives in the EY survey say that their culture and organizational structure limit how well skills are developed. Companies can often struggle with reskilling efforts when there is no unifying program to organize around.

The tone and commitment from the top of an organization can convey the importance of reskilling. To cultivate a digital mindset, company leadership must develop a deeper understanding of how digital can enhance business operations. Executives can complete a data-driven assessment of their organizations and current workforces to diagnose skill gaps and set tangible benchmarks to measure progress. Addressing skill gaps will require a mix of techniques from online and in-person training curriculums and on-the-job experiences, to mentorship and coaching.

Building learning programs can take significant investment. Oil and gas can collaborate with other organizations to leverage platforms and courses tailored to develop specific skills. Similarly, oil and gas companies can look to partners to fill talent and skill gaps. Companies must assess which skills and functions need to be owned and which ones can be performed better by a partner.

Importance of trust and transparency
Transparency is going to be very important for the industry to remain resilient through the energy transition. With the global population expected to reach 10 billion within a few decades, eliminating fossil fuels — while keeping energy affordable and reliable — is not feasible based on the technology available.

It might seem like a paradox, but the oil and gas sector can draw on its skills in meeting the energy needs of the planet to advance decarbonization in broader areas, such as the circular economy, hydrogen, and better batteries that rely less on rare-earth minerals.

This is an opportunity for oil and gas companies to lead with purpose and tell the story behind their environmental, social, and governance (ESG) metrics.

In order to have that transparency, the industry will need to embrace a standard way to measure, track, and share data that is reliable. In doing so, oil and gas companies can attract strong, diverse talent that wants to work for companies with a sense of purpose. Nearly three-fourths of Gen Z agree that business has a responsibility to create a better world, and current employees are three times as likely to remain with a purpose-driven organization, according to the Global Energy Talent Index Report 2019.

The future of work for oil and gas requires different capabilities and mindsets, not just technical expertise. Critical thinking, creativity, innovation, problem solving, and ideation are needed to adapt to a new technology, consider how it can be applied to the business and extract every bit of value possible.

There's a growing acceptance that a return to the pre-pandemic "normal" is not an option; that's doubly true for oil and gas companies. Yet that desire for normality is in itself misplaced: proactive organizations should always think about what is possible. New talent strategies are at the heart of what a business wants to be and the world it wants to build in the process.

The views reflected in this article are those of the author and do not necessarily reflect the views of Ernst & Young LLP or other members of the global EY organization.

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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.”