NMDC details offshore AI, autonomous marine technology initiatives ahead of ADIPEC 2026

NMDC executives highlight how the company is using AI to improve vessel management and deploying autonomous underwater vehicles for offshore survey and subsea data acquisition.

Key highlights:

  • NMDC says its AI-enabled Marine Spread Management platform is improving vessel allocation, utilization tracking and project execution efficiency across offshore operations.

  • The company sees significant potential in combining AUVs, digital survey workflows and AI-assisted data interpretation to support offshore engineering decisions and subsea asset lifecycle management.

Ahead of ADIPEC 2026, NMDC Group has outlined how it is applying artificial intelligence (AI) and autonomous technologies across offshore marine and subsea operations, pointing to growing opportunities to improve efficiency, safety and project execution.

In comments provided exclusively to Offshore, Ramy Abdelwahab, Technology HUB & AI solutions director, said NMDC has developed a Marine Spread Management system that uses AI-enabled analytics to centralize vessel data and improve fleet oversight.

According to Abdelwahab, the platform helps track vessel readiness, certification status, utilization, and costs across projects, providing real-time visibility that supports vessel allocation and operational decision-making.

“The platform's vessel allocation and time-tracking capabilities have improved project execution efficiency, allowing construction teams to match vessels to projects precisely while tracking utilization and costs," he added. "In addition, project-specific workspaces locally and internationally have streamlined coordination and improved schedule performance across multiple geographies.”

The company is also advancing its use of autonomous subsea technologies. Dr. Mouad Lambarki, geotechnical and survey director with NMDC Dredging & Marine, said the recently acquired Teledyne Gavia autonomous underwater vehicle (AUV) is being deployed for high-resolution seabed mapping, route surveys and underwater feature investigations.

Lambarki noted that autonomous systems can reduce personnel exposure in challenging offshore environments while expanding data-gathering capabilities.

"We believe that the greatest value will come from integrating autonomous systems with conventional hydrographic and geophysical survey methods, digital data-processing workflows and AI-assisted interpretation," he concluded. "This combination can support better-informed engineering decisions, more efficient project execution and improved monitoring of subsea assets throughout their lifecycle."

This piece was created with the help of generative AI tools and edited by our content team for clarity and accuracy.

About the Author

Ariana Hurtado

Ariana Hurtado

Editor-in-Chief

With more than a decade of copy editing, project management and journalism experience, Ariana Hurtado is a seasoned managing editor born and raised in the energy capital of the world—Houston, Texas. She currently serves as editor-in-chief of Offshore, overseeing the editorial team, its content and the brand's growth from a digital perspective. 

Utilizing her editorial expertise, she manages digital media for the Offshore team. She also helps create and oversee new special industry reports and revolutionizes existing supplements, while also contributing content to Offshore's magazine, newsletters and website as a copy editor and writer. 

Prior to her current role, she served as Offshore's editor and director of special reports from April 2022 to December 2024. Before joining Offshore, she served as senior managing editor of publications with Hart Energy. Prior to her nearly nine years with Hart, she worked on the copy desk as a news editor at the Houston Chronicle.

She graduated magna cum laude with a bachelor's degree in journalism from the University of Houston.

Sign up for our eNewsletters
Get the latest news and updates