Science Technology U.K

Geothermal Monitoring: Silixa Introduces its Latest Cost-Effective Solution for Long-Term Reservoir Monitoring

Hertfordshire, UK, 20th Jan — Silixa, the leading provider of fibre optic sensing-based data solutions, has recently brought its high-end geothermal monitoring solution—The Carina® GeoTH—into action. 

The company hopes that its Carina® GeoTH will act as a step-change in the long-term monitoring of geothermal reservoirs. 

“Carina® GeoTH is a reliable and proven continuous monitoring solution that delivers reliable information on microseismic, induced seismicity, and well integrity assessment,” explains a spokesperson from Silixa. “It provides reliable long-term reservoir monitoring.”

By enabling sustainable and economic utilisation of the Earth’s natural heat, Carina® GeoTH efficiently speeds up the energy transition. With this permanently installed integrated fibre optic system, Silixa is committed to providing clean, affordable energy.

Silixa’s class-leading geothermal monitoring solution delivers high-fidelity data essential to ensuring reliable reservoir monitoring, improving reservoir efficiency and safely deploying EGS.

By operating optimally even in corrosive and high-temperature environments, the Carina® GeoTH offers a continuous and simultaneous understanding of mechanical, thermal and hydraulic properties in a field.

The system offers highly accurate and precise data on reservoir simulation, reservoir deformation caused by temperature and pressure variations, reservoir temperature evolution, fracture networks, and more. 

Silixa’s high-end geothermal monitoring solution uses a single fibre optic cable as the sensing element that can be cemented behind the reservoir casing or installed in shallow geothermal systems.

It’s a highly flexible system with large coverage—Carina® GeoTH can deliver on-demand and continuous data over a large distance. 

Plus, having Silixa’s Carina® Sensing System as the underlying technology, the Carina® GeoTH enables operators to monitor multiple geothermal wells effectively using a single interrogator.

Due to the system involving no moving or electronic parts, the maintenance and operation costs decrease significantly.

On top of that, by operating autonomously in remote locations, Carina® GeoTH limits human intervention while also ensuring optimised geothermal operations. 

Silixa’s Carina® GeoTH helps technicians efficiently constrain permeable fracture zones. By leveraging active or passive seismic methods with a spectrum of automated surface sources, they can efficiently keep track of fracture behaviour and evolution in a geothermal field. 

Equipped with a high-end optoelectronics interrogator and high-temperature sensing cables, Silixa’s geothermal monitoring system enables simultaneous measurement of DAS, DSS, and DTS. 

The data collected in this integrated approach to geothermal monitoring facilitates numerical modelling of site fracture permeability as well as the validation of hydro-geomechanical simulations. The result is optimised EGS (Enhanced Geothermal System) resources and efficient drilling of subsequent injection/production wells. 

In addition, the high-resolution distributed strain, temperature, and acoustic sensing data delivered by Silixa offer the finest high-spatial resolution measurements in each 0.12 to 1.0 metres along the optical fibre cable. As a result, operators can gain reliable and in-depth insight into the geothermal reservoir. 

Furthermore, the integrated Edge Processing System with Silixa’s geothermal monitoring solution enables real-time visualisation and processing of these distributed strain, acoustic, and temperature data that facilitates decision-making. 

Founded in 2007, Silixa is committed to helping the mining, oil and gas, alternative energy, and environmental and earth sciences industries address critical measurement challenges with its high-end fibre-optic solutions. 

Interested parties can learn more about Silixa’s Carina® GeoTH by visiting

Energy & Environment Technology Transportation & Logistics U.K

Conidia Bioscience Announces New Packaging and Options for FUELSTAT® Microbial Contamination Testing Kits

Egham, Surrey (UK), 20th Jan — Conidia Bioscience, the manufacturer of the FUELSTAT® testing solution for microbial detection in fuel, has recently announced new packaging and quantity options for the testing kits. 

Packaged in sealed foil pouches, FUELSTAT® is now delivered as a single-boxed test kit or in boxes of eight. 

The latest point-of-sale packaging of the testing kit includes essential details about the product and its accompanying apps, says Conidia Bioscience.

In a move to make microbial contamination detection with FUELSTAT® even more reliable and accurate, Conidia offers a free app available on both iOS and Android. 

While the FUELSTAT® Report enables global traceability of fuel testing, the FUELSTAT® Result helps record and verify test results instantly, thus limiting the need for human interpretation.

To attain Net Zero targets faster for a more sustainable future, the move to transition to biofuels is now getting a push. 

Even though biofuels are more eco-friendly, the reduction in sulphur and the introduction of fatty acid methyl ester (or FAME) spurs microbial growth in fuel which leads to serious repercussions. Frequent fuel filter clogging, operational disruption in generators or aircraft, inaccurate fuel quantity readings, Microbially Influenced Corrosion (MIC) of the fuel tanks, and engine failure are a few of the growing list of problems caused by diesel bugs. 

For commercial businesses running on these fuels, the consequences of microbial contamination can be even more catastrophic. 

Processes such as fuel polishing or tank cleaning are expensive and put the asset out of operation for a long time.

With the increasing bio-content exacerbating microbial contamination in middle distillate fuels (jet and diesel fuel), limiting its impacts has become a major concern. 

Conidia Bioscience stresses the importance of using a high-end fuel testing kit specially designed for microbial contamination to detect microbial growth at the earliest possible phase. 

“Treating contamination and the issues in the early stages is faster, cheaper, and less risky than it would be in later stages,” explains a spokesperson from Conidia Bioscience. “Depending on the type of test, it may identify the type and quantity of microbes. There is always some presence of microbes in fuel, but tests will indicate if it is a negligible, moderate, or heavy amount.”

Built on state-of-the-art immunoassay antibody technology, FUELSTAT® by Conidia Bioscience only identifies microorganisms damaging to fuel. 

The result is a reduced possibility of misleading outputs, which yields a higher degree of accuracy. 

Unlike traditional growth-based tests that require at least 72 hours, FUELSTAT® takes only 15 minutes to detect harmful microbial growth in the fuel. 

Conidia marks FUELSTAT® as the only microbial detection test kit that can be used on-site—requiring no additional equipment or stringent sterility controls. 

Interested parties can find out more about Conidia Bioscience by visiting

Computers & Software Technology U.K U.S

Agile Solutions Releases New Guide on Cloud Data Lakehouse

Leading Data Management expert, Agile Solutions, recently released a guide on what Cloud Data Lakehouse is and the benefit it offers.

The business explains the difference between a Data Warehouse, a Data Lake, and a Data Lakehouse. 

A Data Warehouse is a repository for structured data, used to support business intelligence. However, since it only stores structured data, a Data Warehouse comes with certain limitations, such as more storage space required to organize information. For that reason, it also costs more.

In contrast, Data Lakes are databases that store semi-structured or unstructured data. Since the information is not organized, it requires less storage space and can be accessed quickly. Also, this type of storage costs less.

However, because it is not structured and organized, it is difficult to extract meaningful information from it.

A Data Lakehouse, explains the company, lies between these two extremes. While it has the capability to store unstructured and semi-structured data, it also has the power to glean data from it for analytics.

Unlike a Data Warehouse, where the data is organized, a Data Lakehouse assigns a metadata layer over the stored information. As a result, storing the information is cost effective, yet allows business intelligence reporting and visualization.

Consequently, Agile Solutions states that it’s possible to extract and analyze this information without having to use two different systems. More importantly, this raw and unstructured Data Storage system can be ideal for Machine Learning and Artificial Intelligence integration.

The business goes on to explain how a Cloud Data Lakehouse is built and that the architecture can vary based on a business’s needs. Similar to the Data Warehouse and Data Lakes, it will be composed of ingestion, storage, processing, and consumption layers.

However, it will also have an additional metadata (Data Catalogue) layer. This layer is responsible for storing information about each object in the Cloud Data Lakehouse architecture.

Since a Cloud Data Lakehouse is effectively Cloud Data Lake storage running under a Cloud Data Warehouse processing capability, it provides a central space for storing all business data. 

Whether the information is structured, semi-structured, or unstructured, it can all be housed and analyzed together. The raw information does not need to be modified in order to make it compatible with a storage system.

As a result, a business can extract detailed information from this raw information for better Data Analytics, the company claims.

Since a business no longer needs two different Data Storage systems, Data Lakehouse enables the creation of a better, more robust, governance framework.

Another benefit Data Lakehouse offers is that, since all of the business’ data is in one place, data scientists can construct and carry out their own learning initiatives.

Data Lakehouse also helps in enabling ACID—or Atomicity, Consistency, Isolation, and Durability—transactions. This is a data transaction model where each transaction is complete and always consistent.

In short, the list of benefits cited is not exhaustive. However, Cloud Data Lakehouse can be a key aspect in maintaining DataIntegrity and reliability during a business’ Digital Transformation.

As the provider of data advice, support, and delivery services, Agile Solutions helps businesses ensure that their data reaches its full potential. To learn more about its solutions and the services it offers, please visit