Battalion Oil Invests in AI Firm Collide to Automate Engineering

Battalion Oil Corporation has secured a strategic equity stake in Collide Industrial Technologies to integrate the latter's AI-native operations system into its upstream workflows. The partnership grants Battalion Strategic Partner status, providing priority access to Collide's software and formal product advisory rights.

"Collide has solved a problem that has stumped the industry for a decade: building AI that actually speaks petroleum engineering," said Matt Steele, Chief Executive Officer of Battalion, in a statement regarding the deal.

Integrating the 'Riggs' AI System

The core of the collaboration centers on 'Riggs,' an AI-native operations system designed to consolidate fragmented data sources, including PDFs, legacy spreadsheets, and internal databases, into a unified model. By automating complex engineering and operational tasks, the system aims to reduce the manual overhead associated with managing large-scale oil and gas assets.

Battalion expects the integration to reach its production engineering teams within 90 days of deployment. The initial phase of the rollout involves the unification of over 100 terabytes of data, encompassing well files, land records, complex contracts, and historical production logs.

Industry Collaboration and Feedback Loops

For Collide, the partnership provides a direct feedback loop with an active operator in the Permian Basin, a region known for its complex geological and logistical requirements. This proximity is intended to refine the AI's capabilities based on real-world engineering challenges.

"Having an operator with Battalion's Permian Basin expertise as a Strategic Partner means we build the Operations System even closer to the real problems engineers face every day. That collaboration compounds directly into a smarter, more capable product for the entire industry," said Collin McLelland, Co-Founder and Chief Executive Officer of Collide, in a statement.

Why This Matters for Upstream Operations

The move reflects an industry trend of upstream energy companies attempting to modernize legacy data environments. Petroleum engineering has historically relied on siloed digital records, making the aggregation and analysis of data across thousands of wells time-intensive. By deploying AI to parse these records, firms like Battalion are attempting to accelerate decision-making processes, such as identifying production inefficiencies or optimizing drilling schedules, without the need for manual data reconciliation.