Decision Making

Unstructured data like maintenance reports, weather reports, media reports, etc can be analyzed with Natural Learning Processing and facilitate with business solutions for an effective decision. Another approach of AI assistant is in transforming and summarizing safety meetings that can help workers in the decision making of solving a critical problem. Benefits for the company …

Database Management

Upstream exploration and production data are very complex in nature with large amounts of data. We, hence, need a proper data management solution to aggregate and cleanse data collected and stored from different sources. Modern Analytics tools such as seismic software, data visualization, etc are very useful in maintaining data. They facilitate effective time management, …

Operational Efficiency

Customer Sentiment Analysis In general, the logistics and transportation industries are largely driven by economics: fuel cost, security measures, time to delivery, supply chain reliability, domestic distribution networks, offshoring, and so on. By predicting demand with increasing accuracy, allows for anticipation of daily volumes, optimization of delivery routes, and the allocation of resources accordingly. Feasability …

Midstream Optimization

Advanced analytics is increasingly being used to improve shipping performance by predicting the propulsion power that enhances the performances of ships and lowers greenhouse gas emissions. Benefits for the company Improve the Shipping performance and operational efficiency. Feasability High Type of expertise/ AI domain eXtreme Gradient Boosting(XGBoost) and Multi- Layer Perceptron(MLP), Neural Networks Internal data …

Improving Offshore operations predictions 

A primary reason for the performance gap is the operational complexities in production and processing facilities. Control room operations of an offshore platform must analyze humongous amounts of data generated by as many as 30,000 sensors and also consider external factors that influence the production including temperature, humidity and wave heights. Advanced analytics powered by …

Predictive and preventive maintenance

Usage of predictive analytics has enabled O&G companies to create simulations that predict maintenance events. Predictive maintenance can be applied to improve the reliability of the gas compression system – a critical component at many offshore platforms that leads to large losses during downtimes. Algorithms can be used to predict failures in a gas compressor …

Upstream Optimization

Some of the challenges in the upstream processes of the oil and gas industry involve improving the performance of existing resources and finding new resources (exploration) to maintain a continuous supply of crude oil. The exploration process primarily involves interpreting seismic data which demands sophisticated computing equipment with powerful visualization capabilities. The seismic data is …

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