A Rice University professor has developed a new early warning system and planning tool for the city of Houston. Photo courtesy of Kinder Institute

It's no secret: certain areas around Houston are at a high risk of flooding. And risks associated with such natural disasters become even more substantial in the middle of a pandemic.

"What if first responders have to go to a shelter, a nursing home, or another facility where there's COVID, right in the middle of a flood," Phil Bedient, director of Rice University's Severe Storm Prediction, Education and Evacuation from Disasters (SSPEED) Center, asks in a statement.

His solution? To develop a new early warning system and planning tool for the city of Houston to help hospitals and other critical facilities on the watersheds of Brays, Sims, Hunting and White Oak bayous respond.

"The idea is to provide a tool that can help emergency managers better deal with situations with multiple risks," he says.

Dubbed the Flood Information and Response System (FIRST), the tool is a radar-based flood assessment, mapping, and early-warning system based on more than 350 maps that simulate different combinations of rainfall over various areas of the watershed. The maps are compared to a weather radar and stream gauges on the bayous to alert users of likely scenarios during a weather event.

FIRST was derived from the Rice/Texas Medical Center Flood Alert System (FAS), which Bedient created 20 years ago. The latest iteration, FAS5, debuted in 2020. Since the product's creation it has accurately alerted users in more that 60 storms and has warned hospital officials in the TMC of the threat of rising water in the area more than two hours before it would eventually occur, according to a statement.

FIRST was funded by federal CARES Act dollars and commissioned by the Houston Health Department, following concerns that overflows at wastewater treatment plants could potentially expose communities to the COVID-19, Loren Hopkins, chief environmental science officer for the Houston Health Department and professor in the practice of statistics at Rice, says in a statement.

"The FIRST model assessed what areas and facilities are at highest risk of overflows that could spread SARS-CoV-2 and other pathogens during flooding and similar events," Hopkins added. "During a flood, the information gained through this system will inform the public health response to control the spread of pathogens that could make people sick."

CARES funds for FIRST's development were approved in the fall and Rice University undergraduates jumped at the opportunity to build out the product by the December 31 deadline, using hydrologic software and maps they had created with training from Bedient about a year prior.

"They performed herculean tasks," Bedient says. "Our deadline was hard and fast, and they helped us deliver the operational project and report on time."

FIRST was reported to have worked well during May's deluge, and will continue to be refined as more data, storms, and floodwaters arise. A demo is available to test online.

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Houston space tech co. rolls out futuristic lunar rover for NASA's Artemis missions

to the moon

Houston-based space exploration company Intuitive Machines just unveiled its version of a lunar terrain vehicle that’s designed to be used by astronauts in NASA’s Artemis moon discovery program.

Intuitive Machine recently rolled out its RACER lunar terrain vehicle (LTV) at Space Center Houston. RACER stands for Reusable Autonomous Crewed Exploration Rover.

The rover can accommodate two astronauts and nearly 900 pounds of cargo. In addition, it can pull a trailer loaded with almost 1,800 pounds of cargo.

Intuitive Machines will retain ownership and operational capabilities that will enable remote operation of the LTV between Artemis missions for about 10 years.

NASA chose Intuitive Machines and two other companies to develop advanced LTV capabilities.

“The objective is to enable Artemis astronauts, like the Apollo-era moonwalkers before them, to drive the rover, which features a rechargeable electric battery and a robotic arm, across the lunar surface, to conduct scientific research and prepare for human missions to Mars,” Intuitive Machines says in a post on its website.

The company tapped the expertise of Apollo-era moonwalkers Charlie Duke and Harrison Schmitt to design the pickup-truck-sized RACER. Intuitive Machines engineered the LTV in partnership with Atlas Devices, AVL, Barrios, Boeing, CSIRO, FUGRO, Michelin, Northrop Grumman, and Roush.

“This [project] strategically aligns with the Company’s flight-proven capability to deliver payloads to the surface of the Moon under [NASA’s] Commercial Lunar Payload Services initiative, further solidifying our position as a proven commercial contractor in lunar exploration,” says Steve Altemus, CEO of Intuitive Machines.

Astronauts at NASA’s Johnson Space Center are testing the static prototype of the company’s LTV. Meanwhile, the fully electric mobile demonstration LTV will undergo field testing later this month near Meteor Crater National Park in Arizona.

NASA expects to choose an LTV provider or providers in 2025.

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Houston accelerator names inaugural cohort to propel digital transformation in energy

building tech

Houston-based Venture Builder VC has kicked off its NOV Supernova Accelerator and named its inaugural cohort.

The program, originally announced earlier this year, focuses on accelerating digital transformation solutions for NOV Inc.'s operations in the upstream oil and gas industry. It will support high-potential startups in driving digital transformation within the energy sector, specifically upstream oil and gas, and last five months and culminate in a demo day where founders will present solutions to industry leaders, potential investors, NOV executives, and other stakeholders.

The NOV Supernova Accelerator will work to cultivate relationships between startups and NOV. They will offer specific companies access to NOV’s corporate R&D teams and business units to test their solutions in an effort to potentially develop long-term partnerships.

“The Supernova Accelerator is a reflection of our commitment to fostering forward-thinking technologies that will drive the future of oil and gas,” Diana Grauer, director of R&D of NOV, says in a news release.

The cohort’s focus will be digital transformation challenges that combine with NOV’s vision and include data management and analytics, operational efficiency, HSE (Health, Safety, and Environmental) monitoring, predictive maintenance, and digital twins.

Startups selected for the program include:

  • AnyLog, an edge data management platform that replaces proprietary edge projects with a plug-and-play solution that services real-time data directly at the source, eliminating cloud costs, data transfer, and latency issues.
  • Equipt, an AI-powered self-serve platform that maximizes Asset & Field Service performance, and minimizes downtime and profit leakages.
  • Geolumina's platform is a solution that leverages data analytics to enhance skills, scale insights, and improve efficiency for subsurface companies.
  • Gophr acts as the "Priceline" of logistics, using AI to provide instant shipping quotes and optimize dispatch for anything from paper clips to rocket ships.
  • IoT++ simplifies industrial IoT with a secure, AI-enabled ecosystem of plug-and-play edge devices.
  • Kiana's hardware-agnostic solution secures people, assets, and locations using existing Wi-Fi, Bluetooth, UWB, and cameras, helping energy and manufacturing companies reduce risks and enhance operations.
  • Novity uses AI and physics models to accurately predict machine faults, helping factory operators minimize downtime by knowing the remaining useful life of their machines.
  • Promecav is redefining crude oil conditioning with patented technology that slashes water use and energy while reducing toxic exposure for safer, cleaner, and more sustainable oil processing.
  • RaftMind's enterprise AI solution transforms how businesses manage knowledge. Our advanced platform makes it easier to process data and unlock insights from diverse sources.
  • Spindletop AI uses edge-based machine learning to make each well an autonomous, self-optimizing unit, cutting costs, emissions, and cloud dependence.
  • Taikun.aicombines generative AI with SCADA data to create virtual industrial engineers, augmenting human teams for pennies an hour.
  • Telemetry Insight’s platform utilizes high-resolution accelerometer data to simplify oilfield monitoring and optimize marginal wells for U.S. oil and gas producers via actionable insights.
  • Visual Logging utilizes fiber optic and computer vision technology to deliver real-time monitoring solutions, significantly enhancing data accuracy by providing precise insights into well casing integrity and flow conditions.

“Each startup brings unique solutions to the table, and we are eager to see how these technologies will evolve with NOV’s support and expertise,” Billy Grandy, general partner of Venture Builder VC, says in the release. “This partnership reflects our ongoing commitment to nurturing talent and driving innovation within the energy sector.”

Venture Builder VC is a consulting firm, investor, and accelerator program.

“Unlike mergers and acquisitions, the venture client model allows corporations like NOV to quickly test and implement new technologies without committing to an acquisition or risking significant investment,” Grandy previously said about the accelerator program.

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This article originally ran on EnergyCapital.