Oil and Natural Gas operators must process, analyze, and react in real time to massive volumes of sensor data every day in order to improve safety, compliance, and profit. For example, real-time analysis of streaming data from drilling rig sensors, intelligent wells, and digital oilfield installations enables early detection of drilling hazards and pending equipment failures, thereby reducing rig time, intervention, and shut-ins.

Data problems include the need for real-time integration of operational systems and an inability to maintain accurate and current information across all systems and data warehouses in real time. Poor integration leads to duplication of data and systems, and a lack of visibility across all monitored assets, resulting in the delayed identification of the root cause of problems.

SQLstream’s real-time operational intelligence platform is built on a streaming data management architecture. The platform is capable of processing and analyzing rig data and smart oilfield data in real time, and supports the integration of any and all of an organization’s sensor data, operational platforms, and data warehouses without the need to store the data first.

Features

• Manage increasing high volume, high velocity log file and sensor data at a massive scale.
• Improve operational efficiency through improved real-time integration.
• Improve safety, reliability and compliance through low latency operations monitoring.
• Automatize business processes to address the skills gap, for example, a lack of skills in new technologies or bridging the gap where experienced personnel have retired.

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