Fossilytics Awarded “Accelerating Commercialisation” Grant

Fossilytics Engineered Solutions is proud and honoured to be amongst a distinguished group of innovative companies and be recognized at national level through award of the AC Grant. Our continued efforts developing in leading edge analytics software for the energy sector are on track for commercialisation in the coming months. The announcement was made January 20, 2022.

A big thank you to our key clients, the AusIndustry team and Larry Weng (commercialisation Facilitator) of i4Connect for outstanding facilitation through the merit review process.

Learn more at: https://lnkd.in/g76kyKV https://lnkd.in/gjm8Tffz

Fossilytics Announces MOU with Santos

Fossilytics Engineered Solutions is pleased to announce it has signed an MOU with Santos Limited. The MOU, outlines a collaboration starting with technology evaluation of Fossilytics’ Advanced Flow Analytics for the reservoir and production engineering disciplines at Santos.

The project will focus on automation of oil and gas well analysis using Machine Learning and other techniques on the famous Flowing Material Balance as well conventional and unconventional decline models (such as Stretched exponential and Power-Law models).

Our system is cloud-based using secure Amazon Web Services (AWS) and can be accessed from any device, or it can be installed within the customer’s network. All our modules are built on the Wolfram language, one of the world’s leading mathematical and physics-based platform.

Fossilytics Engineered Solutions Signs an MOU with a Canadian operator

Fossilytics Engineered Solutions is pleased to announce it has signed an MOU with a Canadian operator with operations in the Montney shale, which is located in northeast British Columbia and northwest Alberta (estimated total resource could be nearly 900 Tcfe). The MOU is a pilot between the two organizations which uses Fossilytics Advanced Flow Analytics platform to automate data collection from the field, through to analysis.

The pilot will focus on automation of oil and gas well analysis using Machine Learning and other techniques to model gas production performance.

Our system is cloud-based using secure Amazon Web Services (AWS) and can be accessed from any device, or it can be installed within the customer’s network. All our modules are built on the Wolfram language, one of the world’s leading mathematical and physics-based platform.