Course Detail

Innovation, Opportunities and Potential Use Cases in Oil and Gas Industry Dubai Duration: 1 Week/s

Course Information

  • Course Price $5550
  • Location Dubai Courses
  • Course Code IOPUCO
  • Course Date 14 Nov - 18 Nov 2022

Course Objectives:

Todayís 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, itís 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.

Prerequisite Courses


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

  • Course Materials

    Course notes, handouts and exercise materials