@misc{d4093cd0dd7d4b4eb5f5ba8b84f85009,
title = "Data Sharing as a Catalyst for Expanding the Energy Frontier",
abstract = "As the energy landscape evolves to include technologies such as geothermal energy, comprehensive data become essential for driving innovation and scalability, particularly with the growing use of tools like machine learning and artificial intelligence. In emerging sectors, the cost of gathering high-quality data across large spatial areas can present a significant barrier. A key solution is leveraging existing data from well-established industries like oil and gas. However, the proprietary nature of data in these industries often hinders collaboration. This paper explores how cultivating a culture of data sharing can act as a catalyst for progress, fueling breakthroughs across both conventional and renewable energy sectors. Practical compromises that protect business interests while enabling data access are proposed, and real-world success stories are highlighted, demonstrating how collaboration has accelerated advancements in geothermal, carbon capture, and other innovative technologies.",
keywords = "catalyst, collaboration, cross-sector, data, data sharing, emerging energy technologies, energy transition, expanding energy frontier, geothermal, machine learning, oil and gas, open data",
author = "Nicole Taverna and Greg Leveille",
year = "2025",
doi = "10.2172/2584010",
language = "American English",
series = "Presented at the 2025 SPE Western Regional Meeting, 27 April - 1 May 2025, Garden Grove, California",
type = "Other",
}