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.

Partnership with the Australian Institute of Machine Learning

Fossilytics Engineered Solutions is pleased to announce a collaborative partnership with the Australian Institute for Machine Learning (AIML), University of Adelaide.

The project will aim to accelerate the work already undertaken by Fossilytics for augmenting reservoir and production-based analytics developed in our Advanced Flow Analytics suite such as flowing material balance analysis, pressure/rate type curve analysis for conventional and unconventional wells, and potentially 2-Phase coal seam gas.

We are currently engaged in pilot projects in both the Cooper Basin (South Australia) and as far abroad as the Montney Shale in Canada. Our workflow has been designed to automate reservoir and production analyses. We have the ability to connect directly to SCADA Historians, various commercial databases and more allowing for automated real time data updates, data processing, and interpretation using Machine Learning and Neural Network principles.

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.