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 …
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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, …
Downstream Optimization
Oil refineries use water in huge volume in the processing of crude oil and gas. An American digital oilfield solutions company, Digital H2O has developed predictive algorithms based software system that is providing solutions for water management in the oil and gas industry. Cloud-based services also help distributors by analyzing data effectively and increasing modeling …
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 …
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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 train …
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 …
Reducing production costs
Drilling and Pipeline operations data can be harnessed by big data analytics and used in various scenarios to improve production efficiency and bring down costs. For example, data analysis of rocks is being used to identify the right place for digging oil wells; Pairing real-time down-hole drilling data with production data of close-by wells can …
Ensuring human safety
During extraction, the workers always run the risk of being temporarily or fatally impacted by harmful emissions. In order to reduce this risk, O&G companies today are using big data and predictive analytics to identify new oil and gas sources without having to conduct potentially hazardous operations. AI robots can detect any faults in the …