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SFE21 Innovation, Opportunities and PotentialUse Cases in Oil and Gas Industry

Duration: 2 Weeks

 

Course Objectives:

Today’s businesses needs are setting new expectations around data: do more with more. Oil and Gas industry is no different. With so much data coming in, it’s challenged to harness the data in new ways for new insights. Further, we want the analysis now. We operate in real time and we expect our data to do the same. The objective of this course is about great expectations from doing more with more data. It is to explain how leading organizations like Oil and Gas living the current data revolution are setting new expectations for getting results from data. The course encourages and enables the predictive enterprise to devise strategies to understand, anticipate and plan new ways to achieve insights through better questions, social discovery, predictive analytics, advanced models and analytics.

Who Should Attend

From businesses to consumers, people have an insatiable appetite for data and all it can do. We are not only depending on data for movie recommendations and gift ideas but are pushing hard on data for multidisciplinary climate research and energy exploration, roads and buildings that adapt to their environment, more predictive healthcare, new ways to detect fraud, and keeping abreast of consumer sentiment and behaviour. There are all sorts of new data and new uses. The data feast is on, and not likely to stop any time soon. Therefore, although tailored to Oil and Gas, anyone who likes to play with data can attend the course to test the flavour.

Course Overview

- Predictive Analytics of Big Data in Oil and Gas
- Innovative Exploration & Development of Big Data for Oil & Gas
- Sustainability in Oil and Gas
- Identification of Seismic Trace Signatures
- Data Mashups of Internal or External Sources
- Anomalies Identification of Drilling and Completion
- Application of Predictive Maintenance
- The Source and Analysis of Unstructured Data in Oil and Gas
- Building new Scientific models for Production & Operation
- Real-time Production Optimization
- Performance Forecasting in Oil and Gas
- Enhanced Oil Recovery Techniques
- Optimization of Resource Allocation
- Case Study


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