SigmaStream has consistently advocated for an objective evaluation of data quality right from its source, emphasizing the need for accountability among data service providers. The development of Veras is directly aligned with our data quality initiative, effectively supporting both drilling and completions workflows.
Veras is a robust and versatile data quality assessment tool, affording data quality managers the flexibility to fine-tune measurement approaches to meet their unique needs with precision and ease.
SOP Assist is SigmaStream’s GenAI-based intelligent assistant that transforms how organizations access and apply their internal knowledge. It allows employees to ask questions in plain language and receive precise, role-specific answers drawn from confidential policies, procedures, and lessons learned. With role-based access built in, every response respects organizational rules, ensuring sensitive information is only surfaced to authorized users. Unlike generic AI tools, SOP Assist runs entirely within your environment, keeping prompts, documents, and answers private. It continuously updates as new documents are ingested, turning static SOPs into living operational intelligence. The result is faster decisions, fewer errors, and stronger compliance across offices, rigs, and field operations.
SigmaStream's Preempt is at the forefront of predictive maintenance, providing businesses with the tools to anticipate and prevent equipment failures before they occur. By leveraging advanced analytics, machine learning, and real-time data monitoring, Preempt minimizes unplanned downtime and significantly reduces maintenance costs. This proactive approach empowers companies to move beyond traditional maintenance strategies, transitioning from reactive repairs and scheduled servicing to a data-driven model that optimizes equipment performance and longevity.
Odin harnesses advanced AI to transform how assets are evaluated and ranked, from wells and equipment to crew performance and operational risks. By delivering objective, data-driven indexes such as the Well Complexity Index, Drilling Performance Index, Equipment Condition Index, and Operational Risk Index, Odin provides the precision needed for confident, strategic decision-making for planning operational excellence.
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Built on a flexible platform and server architecture, Odin allows seamless integration of third-party metrics and custom criteria. It is optimized for deployment across both on-premises and cloud environments, giving organizations the freedom to adapt the system to their unique operational and technical needs.
VADr (Vibration Attenuation During Re-engagement) is SigmaStream’s AI-driven solution designed to address one of the most costly and overlooked challenges in drilling—bit damage when re-engaging the formation after a connection or pause. Each impact damages the bit and bottom hole assembly (BHA), leading to expensive replacements and unnecessary non-productive time (NPT). By ensuring a smoother re-engagement, VADr extends bit life, reduces trips, and allows drilling operations to maintain momentum, all of which translate directly into significant cost savings and operational efficiency.
At a high level, VADr works by learning how downhole vibrations respond to surface parameters using only surface sensor data. The system continuously evaluates torque and other surface measurements to anticipate downhole behavior, then generates optimal recommendations for weight on bit (SWOB), rotary speed (RPM), and flow rate. These recommendations guide the driller—or the rig’s control system in closed-loop mode—through the first few minutes after re-engagement, when the risk of damaging vibration is greatest. The result is a consistent, reliable way to mitigate vibrations, reduce dependence on operator experience, and improve both drilling efficiency and equipment longevity.
