The integration of software-driven intelligence into Operational Technology (OT) environments in the oil and gas sector is accelerating the need for agile, reliable, and secure deployment practices. Traditionally siloed from IT workflows, OT systems often face prolonged release cycles, increased risk of configuration errors, and limited automation—challenges that can compromise operational uptime, safety, and compliance. This paper explores the implementation of DevOps pipelines tailored for oil and gas OT environments to streamline software deployment, reduce human error, and support continuous innovation in control systems, field automation, and asset management platforms. Beginning with an overview of existing OT development and deployment challenges, the paper identifies key barriers including fragmented toolchains, manual updates, and restricted testing capabilities. It then presents a DevOps framework adapted for OT constraints—emphasizing containerization, infrastructure as code (IaC), version-controlled deployments, and automated testing across development, staging, and production layers. The role of CI/CD (Continuous Integration and Continuous Deployment) pipelines is examined through the lens of real-time safety-critical systems, with attention to network isolation, deterministic behavior, and rollback capabilities. Specific use cases include SCADA/HMI upgrades, edge device firmware delivery, and AI model deployment for predictive maintenance. The integration of DevSecOps principles ensures that cybersecurity compliance and operational safety are embedded throughout the software lifecycle. Case examples from onshore and offshore assets demonstrate reductions in deployment times, improved system stability, and enhanced collaboration between OT and IT teams. The paper concludes by outlining best practices for scaling DevOps pipelines in highly regulated oil and gas environments, highlighting the importance of cultural transformation, stakeholder alignment, and cross-disciplinary training.