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Full spectrum well data interpretation.
Innovative machine learning workflows.

The demand for a “single source of truth” database and a shared working platform of all parties in a supply chain become a “must have” nowadays to maintain oil companies’ efficiencies and competitiveness.
Most of commercial wellbore interpretation software are running in single-user project environment in individual workstations. Therefore, there will be numerous interpretation projects which are stored in individuals’ hard disk or personal directories. Many database projects failed because of data management and interpretation workflow cannot be hand in hand like this. i2G™ is the pioneer wellbore interpretation platform which manage input data flat files, interpretation project, project output in a single web-based workspace with auditable traceability, so users can gain holistic view into all data and dependencies.

i2G™ offers full spectrum of petrophysical analysis for clastic reservoirs, thin bed reservoir, fractured reservoir, contact and fluid analysis, Pc and Saturation Height modeling, geomechanics. The workflow management tools with intuitive GUI help users to easily reproduce, document their work.

MLT module offers a wide range of Machine learning algorithm, fully controllable parameter setup in an intuitive graphic user interface, easy to experiment different training model set-up with multi-zones, multi-well selection.
Our algorithm is optimized to petrophysical tasks. Integrated in i2G™ platform, it allows users to try state -of-the-art Machine Learning tools to add values to their interpretation.

Our AI technology – developed to predict depofacies and assisting well correlation. It can be loosely described as a designed framework of multiple Machine learning methods include basic analytics and deep learning tools and an expert system. It is a pioneer AI system which can integrate data from different discipline such as logs, bio, chemostratigraphy, etc. The expert system which designed by global sedimentology experts takes consideration of stacking pattern, unit thickness, facies associations, offset well facies abundance etc. It brings operators significant benefits as below:

+ A data driven, consistency interpretation of all wells. It is key to produce good reservoir property mapping for plan new wells.
+ Real time interpretation in big data manner to help in geosteering
+ Running in cloud, the AI allows multi-clients to gain benefit from the knowledge from training model (core-log data) without sharing the actual data.