Camilo Mejia, CEO and founder of Houston-based Enovate Upstream, has big plans for increasing efficiency across the oil and gas sector. Photo courtesy of Enovate

A Houston energy tech company announced a new artificial intelligence platform that aims to digitize the oil and gas sector to provide the best efficiency and return on investment at every stage of the supply chain cycle — from drilling and production to completion.

Enovate Upstream's exponential growth, says Camilo Mejia, CEO and founder of the company, has already led to two new strategic partnerships in the works with European and Latin American companies.

"We see a better future in the oil and gas industry," Mejia shares in an interview with InnovationMap. "Our team worked in various roles in O&G, and we don't think the industry will end up as some people may think. The future will be different and digitized, we are just here to facilitate that transition to give back to the industry that gave us a lot."

The company's proprietary cloud-based ADA AI digital ecosystem is challenging the assumptions of the industry by using new technology powered artificial intelligence to provide historical data with AI to give real-time production forecasting. Thanks to the cloud, users can access the information anywhere in the world.

The new platform combines three models — digital drilling, digital completions, and digital production — that provide precise data that can be customized to the client's needs, integrating into an existing platform easily for a real-time view of their return on investment and carbon emission output.

Mejia shares more about his company's growth and what goals Enovate Upstream is setting to continue the course of digitization in the oil and gas industry in the Q&A with InnovationMap.

InnovationMap: What inspired Enovate Upstream’s focus on artificial intelligence technology for the upstream value chain?

Camilo Mejia: For the past five or six years, there's been talk of digitalization, and the value of data. The next level is not the value of the data, it's about the automation, how you can improve operations, and how you can help customers to make better decisions. Every single technology that we are developing here is about the return of investment.

Our AI concept is about the physics behind the data. We are accelerating digital adoption by properly showing the tangible value of the technology by speaking the same language and showing the value from the oil and gas perspective, which was one of the challenges other AI technology faced to break into the industry before. Our artificial intelligence component upgrades this technology to optimize the industry while integrating it with this digital ecosystem all in one place. The digital ecosystem we're building covers the entire value chain.

One of the challenges the industry faces is around capital allocation — how we can help customers to properly allocate capital into projects, which is a fundamental way we forecast new projects. Another challenge is the size of the organization that ranges from corporations to small businesses. They have many opportunities to improve cost but that varies across companies.

We are overcoming that challenge in order to develop a technology that can show the inefficiencies between the sizes. The third challenge is the adoption of digital technology. There are two different ways of deploying artificial intelligence. One is data-driven analysis, data-driven models, or data trading — this is the foundation.

IM: What fundamental changes do you think your cloud-based ADA technology can provide across every stage of the value chain?

CM: The biggest change we have in the platform is revising the workflow based on the production size. We use the data the customers already have, to develop a model that changes the way we forecast production in the industry. Before you deploy the capital and execute the project, you are going to have a better idea of the maximum potential profitability, so you can make better decisions at any stage from that point.

One of the inspirations for this was Tesla. The automotive industry was failing to provide a self-driving vehicle because it was using mathematical approaches, but Tesla overcame that challenge using data of millions of drivers to drive and park the cars efficiently, optimizing the process.

We are doing exactly the same, which is applying mathematical equations only for drilling forecasts, production forecasts, and using the data from the wells to see how the projects are behaving. We also integrate the modules so every single module is communicating with each other at every stage to correlate back to a production forecast to set your targets or operation based on that expected return of investment.

Our concept is about the return of investment, in order to develop the ROI concept, you got to plan the events right and the varying size production, that becomes the second component. The third component is about optimization of operations, which is about automation to improve operations and therefore decision-making. We are developing technology that has a very modern interface to automate operations in a more intuitive way so customers can be independent in the process and make the best decisions.

IM: At the moment, there is a need for virtual connections. How does your technology allow certain hands-on tasks to be handled remotely?

CM: In many ways, we have a big project in the Gulf of Mexico. We place technologies that we are using in today's market and deploy a platform that customers can use independently. We can also automate operations to the cloud by just deploying, trimming the data out of the field straight to the cloud so that people in the field can actually use the AI component to optimize operations. We don't require face to face interaction using the cloud environment.

Since the coronavirus these digital components have been on demand, we have grown about 500 percent from the end of Q1 and into the middle of Q2. We are experiencing an acceleration in the adoption of digital technology, but the ability to deploy the technology through the cloud has been instrumental in gaining more traction in the market. As a matter of fact, just as an indicator, we have been hiring people since the start of the coronavirus.

IM: Enovate Upstream started a year ago since then you’ve experienced exponential growth. What are a couple of goals that the company will achieve by the end of the year?

CM: Our strategy is focused on the next level for the company, which is securing funding round with investors in London. We are also aiming to facilitate the deployment of our technology globally. We are focusing on the United States and Latin America, but we hope to expand our funding round to Europe and the Middle East.

Our other goal lies with our partnerships, we are working through a distribution channel, through larger service companies that are facilitating the commercialization of the technology. The focus is on enabling these companies to properly support the customers by doing more technology integration and increasing the value creation.

The next goal is obviously to sustain the company, even though we have been growing, there is a lot of uncertainty in the market, and we are focusing on building the culture of the company, which is challenging in a virtual space.

IM: How has Enovate Upstream navigated an unstable market amid your rapid growth?

CM: That's a good question. I think the lesson is that you can always end up in a different direction. Coronavirus is having a big impact on many businesses, often negatively, but for us, it was instrumental to realize the full potential of the technology we were developing.

We saw that the activity was going from operations to the financial sector with companies selling assets to sustain their business. There were a lot of customers trying to decide what kind of wells they need to continue producing, so that was a market that we didn't capture before.

We grew the technology in that direction by starting a second company called Energy Partners. We created a joint venture with some producers in South Texas to make better decisions in asset acquisition. It was instrumental for us to realize the full potential on the finance side, as opposed to operations where the initial focus was.

We have assets in South Texas now and from a technology standpoint, it's the ideal way to test our analytic technology. We use our technology to properly evaluate the return of investment to make decisions about acquiring assets to optimize the operations and increase production. We have the opportunity to prove the technology with our investments, so we can actually build trust with customers. We are 100 percent sure that the technology works the way we say it works.

IM: There’s a huge emphasis on sustainability in the energy industry. How does your technology reduce carbon emissions?

CM: There are two kinds of components here. The first one is about optimizing operations — personnel transportation at the field level. We have studied calculations of what carbon dioxide output looks like to reduce it in terms of optimizing transportation, technology, and contributing to innovative ideas. We are currently initiating a feasibility study on a carbon capture technology, and working with customers to provide value in the technology in various aspects.

IM: I see several partnerships have already begun. Are you looking for more and what role do these partnerships play for your business?

CM: We have two partnerships about to close. One is with Telefonica, a Spanish telecommunications company, and another with Pluspetrol, an Argentinian production company. Telefonica provides cybersecurity services to oil and gas companies, we actually work with them to deploy our technology in Latin America and Europe. They provide the cloud and cybersecurity component while we provide the AI component.

In terms of our technology development, Pluspetrol has been one of our partners from the very beginning and we continue developing more technologies with this particular customer. They provide us with access to real data and real operational conditions that facilitate technological innovation.

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This conversation has been edited for brevity and clarity.

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Houston lab explores how AI bots can help the elderly

AI for aging

The University of Houston’s Empathetic Lifespan AI & Robotics for Aging (ELARA) Lab is currently conducting research into how AI bots may be able to help the elderly live more social and independent lives through several ongoing initiatives.

The lab officially launched last month as part of the Gerald D. Hines College of Architecture & Design under the leadership of Assistant Professor Chorong Park. Part of the lab’s mission is tackling ongoing problems with aging, such as dealing with disabilities and social isolation. Researchers’ current work is focused on designing a new AI companion bot specifically tailored to the needs of older people.

“We need to take all the needs of older adults seriously,” Park said in a news release. “They won't use the robot if they don't feel at ease or if they feel they are being constantly watched.”

The field testing of new AI bots in this population hopes to overcome several traditional obstacles in technology use among the elderly. A study by Park shows that many older people have a fear of overt surveillance when using advanced AI. There is also ageism to consider. Most new technologies are designed with younger and employed buyers in mind, not retirees who may need help remembering daily tasks or accessing important information.

“The more older adults are excluded from technology development, the worse those technology gaps will become,” Park said. “AI and the majority of technologies are created for younger people, so my research method integrates older adults directly into the design process.”

ELARA recently collaborated with the Mamie George Community Center in Richmond, Texas, to track seniors’ response to desktop AI bots like Emo and Cupboo. Researchers also had participants use air-dry modeling clay to create their ideal robotic companion.

While the eventual AI bot may be able to help the elderly feel less isolated and more supported, there are concerns to consider. A study published in the Asian Journal of Psychology charted the development of delusional thinking in a 72-year-old woman who became convinced the empathic-response bot was in love with her. The rise of “AI psychosis” has the potential to exacerbate mental health problems, particularly in socially isolated people, which a quarter of Americans over the age of 65 are.

ELARA’s research is focused on creating “pet-like” AI models with enhanced trust cues. If it can overcome the dangers of socially isolated people relying on AI for companionship, it could be a big step forward for independent aging.

SpaceX IPO set to be biggest ever and could make Elon Musk a trillionaire

IPO News

SpaceX says it plans to raise up to $75 billion when it goes public this month, setting the stage for the largest-ever stock market debut and putting Elon Musk on course to becoming the world's first trillionaire.

The company, formally known as Space Exploration Technologies Corp., said Wednesday it will sell 555.6 million shares at $135 a piece in an initial public offering. The estimated proceeds would easily top the $26 billion raised by oil giant Saudi Aramco in 2019. The offering would also give SpaceX a market value of $1.77 trillion. Only six companies in the S&P 500 are currently worth more, with Nvidia tops at $5.2 trillion.

Besides the size of the offering and the expected proceeds, SpaceX's amended prospectus updates details about how much control of the company Musk will have. As SpaceX's CEO, chief technical officer and chairman, Musk's voting power will come primarily through his ownership of 5.22 billion Class B shares, which give the holder 10 votes for every share held. According to the filing, Musk would have 82.4% of the voting power in the company.

Forbes currently values Musk's net worth at $826 billion and his stake in SpaceX at $542 billion. The estimated value of his SpaceX holdings was based on an overall value for the company of $1.25 trillion. Based on those numbers, a $1.77 trillion valuation for SpaceX would boost Musk's net worth by $223 billion, making him a trillionaire. However, much of Musk's worth is in stock that he has yet to cash in.

Even as it makes a bid for a blockbuster market debut, SpaceX is currently losing billions of dollars a year. The filing shows that the company lost $2.6 billion from operations last year on $18.7 billion in revenue, and the losses kept piling up at the start of this year, too.

Fantastical plans

Time will tell how SpaceX fares on the market. Musk's plans for the company are as fantastical as the money he hopes raise in the sale.

Colorful, even frightening in parts, the IPO document strikes a contrast with the typically dry, technical prose in IPO documents, detailing plans to use proceeds from the sale to help put men on the moon again and perhaps even Mars. In one section, it talks of a need to build "a permanent human colony" on the red planet with "at least one million inhabitants" as existential threats loom that could consign man to "the same fate as the dinosaurs."

Musk has almost equally ambitious plans for his other publicly traded company, Tesla. His goal is to transform the maker of electric vehicles into a producer of robotaxis and humanoid robots. Dan Ives of Wedbush Securities wrote in a research note that he expects Tesla and SpaceX to merge next year.

AI plays a key role

Key to the success of both companies — and any merged entity — is artificial intelligence. In its IPO filing, SpaceX says it sees potential revenue from AI of up to $26.5 trillion. But that depends on another lofty Musk ambition — putting data centers in space, which is not technologically possible at the moment.

Transforming his space company into a primarily AI-focused company will be a challenge for Musk, who started xAI in 2023 with 11 other co-founders who have all since left. Some were recruited away by rivals.

Its main AI product, the chatbot Grok, is "less impressive than anything that we see from any other major player in the space, whether that's OpenAI, or Anthropic, or (Google's) Gemini," said IDC analyst Arnal Dayaratna.

Dayaratna said that doesn't mean SpaceX doesn't have potential as a major AI player, thanks in part to its computing partnership with Anthropic and Musk's recent deal that gave SpaceX the rights to buy AI coding tool Cursor for $60 billion later this year. Folding in Cursor's capabilities would give SpaceX access to the coveted business customers now using Anthropic's Claude or OpenAI's ChatGPT.

SpaceX plans to use the net proceeds from the IPO to fund the expansion of infrastructure for its AI and rocket businesses, and to beef up the constellation of satellites that power Starlink Mobile, among other investments.

The company plans to list on the Nasdaq under the symbol "SPCX" and could begin trading as soon as the end of next week.

And SpaceX isn't the only colossal market debut investors are now bracing for. Earlier this week, Anthropic submitted a confidential filing with the U.S. Securities and Exchange Commission to officially start its own IPO clock.

OpenAI has not yet reported filing the initial SEC paperwork, but an IPO from the ChatGPT maker is widely expected.

"This listing represents the first major test for public markets after years of muted IPO activity with SpaceX paving the way for AI giants Anthropic and OpenAI to follow soon after," Ives wrote.

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Associated Press Technology Writer Matt O'Brien contributed.

New UH survey reveals concerns over AI data center growth in Houston

data findings

A new report out of the University of Houston shows that area residents remain wary of the long-term effects of operating data centers.

The recent survey from the University of Houston’s latest SPACE City Panel, conducted by the Center for Public Policy at the Hobby School of Public Affairs, shows that while 85 percent of Houston-area residents use AI, nearly 63 percent oppose the construction of AI data centers within 1 mile of their homes.

Respondents’ concerns centered around data centers’ high energy demand and the area’s power grid reliability. According to the survey, 32 percent of residents who oppose local data center projects would be more likely to support the centers if they relied on renewable energy over fossil fuels.

“Respondents understand that AI can bring economic and educational benefits, but they are also concerned about the physical infrastructure needed to fuel AI, especially data centers,” Soran Mohtadi, post-doctoral fellow at the Hobby School and a researcher on the report, said in a news release. “This physical infrastructure demands more electricity and water, leading to environmental impacts.”

Experts estimate that 6.5 gigawatts of data center capacity will be added to the Texas grid by 2030. And Houston’s data center capacity is predicted to more than double by 2028.

The Electric Reliability Council of Texas also projects electricity demand could reach 218 gigawatts by 2031, which would be more than double the record peak set in August 2023. Data centers are expected to account for 86 gigawatts of that new demand.

Survey respondents also said they are concerned about the state's future water supply, given the large amounts of water that data centers need to stay cool.

In terms of who’s responsible for that issue, 57.6 percent of respondents said they put the onus on Texas lawmakers, while 31.5 percent say tech companies should be responsible.

Additionally, more than 75 percent of respondents believed that data center developers and technology companies—not residents—should bear the cost of infrastructure upgrades to support data centers.

“Every decision legislators make has implications on residents’ everyday lives and local infrastructure now and in the future,” Maria P. Perez Arguelles, lead researcher on the report and research assistant professor at the Hobby School, added in the news release. “This issue is going to become more important in years to come, so this is just the beginning.”

Read the full report here.