Silixa announces the launch of Carina® 100XLog, enabling faster data-driven decision making to improve well productivity with a reduced carbon footprint

Silixa announces the launch of Carina 100XLog, the high-efficiency retrievable fiber optic well logging service that visualizes entire well dynamics in real-time much more rapidly than conventional technologies.

The service provides reliable answers at the wellsite to enable more efficient interventions, quicker remediations and a reduction in downtime, intervention duration and cost, leading to improved well productivity and a reduced carbon footprint.

Unlike traditional intervention surveillance technologies, Carina 100XLog delivers continuous, ULTRA HD real-time data acquired along the entire length of the wellbore simultaneously. This enables the diagnosis of complex flow regimes and leak paths that conventional technologies struggle to quickly identify, significantly reducing the well logging time and deferred production. This allows operators to maximise field productivity.

The underlying technology, the precision engineered Carina® Sensing System, enabled by Constellation™ fibre, has 100 times better signal to noise ratio than any other DAS system. This breakthrough performance, coupled with the company’s edge analytics and processing workflows, allows for faster recognition of parameters that describe well performance. Quantitative multiphase flow allocations are also enabled with advanced and unique data processing workflows.

The service can be deployed easily with multiple conveyance options such as wireline, slickline or coiled tubing. The cable will seamlessly interface with any vendor’s existing wireline deployed electromechanical tractors to allow deployment into the extended reach horizontal wells of today.

With the ability to visualize the entire well at once, and then zoom in on the zones of particular interest, Carina 100xLog can help reduce the time spent on a typical intervention by up to 50%, saving 3 to 5 days of lost production, and ensuring a significant reduction in the carbon footprint compared to conventional techniques.

With unrivalled sensing capability, the system maximizes field productivity with a reduced carbon footprint.