A leading energy services provider partnered with Zemoso Labs to tackle fragmented data systems across its carbon capture, utilization, and storage (CCUS) program, where disjointed monitoring tools and manual compliance workflows slowed responses to operational risks. Zemoso built a unified digital platform that aggregates sensor data from wells, fields, and plants into a single, real-time view, embedding risk management and alert intelligence so engineers can act fast on live field conditions. The result: reduced downtime, improved safety, lower monitoring costs, and stronger audit readiness, directly supporting the client's net-zero targets and CCUS expansion.
Scaling carbon capture, utilization and storage (CCUS) exposes recurring problems: subsurface, surface, and plant-level systems operating in silos, manual or inconsistent monitoring, rising compliance complexity, and delayed anomaly detection that increases safety and financial risk. The client's CCUS teams were managing isolated data streams, raw CSV exports from wells and plants requiring manual handling before analysis, with no real-time view across assets. The mandate was to build one system connecting subsurface, surface, and plant data with proactive, compliance-linked risk and alert management on a cloud-native architecture ready for global scale-up.
Zemoso engineered a unified digital backbone for CCUS-secure, modular, and capable of real-time processing across heterogeneous data sources. The key breakthrough was linking subsurface-to-surface telemetry with a risk-aware alerting layer, ensuring every anomaly carried both context and traceability.
Scalable Cloud-native Architecture: Built on 18 microservices orchestrated through Kubernetes, the backend stack, NodeJS, Express, TypeScript, handles distributed workloads efficiently. Redis caching supports high-frequency queries, Azure Blob Storage manages large sensor datasets, and RabbitMQ with Dapr ensures reliable event messaging. CI/CD pipelines via Jenkins and GitHub enable frequent, secure deployments without downtime.
Advanced Security and Reliability: A layered security model protects sensitive operational data-
Together, these safeguards ensure both cyber and operational integrity for regulated CCUS environments.
The collaboration turned CCUS monitoring from a network of disconnected tools into a single, auditable digital system that scales. By fusing data architecture with operational safety and compliance, the platform turned carbon management from manual oversight into automated assurance, giving the client a digital foundation built for regulatory resilience and scalable decarbonization.
