Monday, September 11
IOT or IIOT (Internet of Things or Industrial Internet of Things) is no longer a buzzword; this is the next Industrial revolution which is happening right now and will continue to grow across different industries, including the Energy sector. When asked ‘What is IOT?’, or ‘What is Analytics?’ each person may provide a different answer or understanding. This open forum session will begin with an ice breaking activity to gain insights and perspectives from participants, but more importantly getting participants attending Digital Week engaged with each other and the topics of this workshop. This is a perfect segue into the discussion based on the following questions:
- What is IOT or IIOT?
- What is Big Data Analytic?
- What are the drivers of IoT for the Oilfield?
- How important is IOT solution to your business?
With a significant number of oil and gas companies ready to embrace IoT solutions, the market is ripe for disruption, especially with sensor pricing expected to drop. Significant opportunities exist to provide simplified access to information and potential opportunities for unmanned operation that leveraging real-time remote monitoring. By using sensors that can see, feel, smell, and hear downhole to detect defects or breaches , supplemented by the use of autonomous scouts to provide 24/7 remote monitoring, organisations can effectively put in place an immediate first line of defense from equipment failure, downhole risk, hazardous conditions, and environmental impacts. Integrated asset information from various equipment that aggregate sensor data, operations data, and geospatial data in an analytic engine, to provide real time alerts using event based logic to enable immediate action based on data generated from sensors.
With the IoT transformation in the oil and gas industry, from the upstream, midstream to downstream, the advancement of smart sensor technologies, interconnectivity and smart data analytics; the challenge rests in the integration of a reliable ‘sea of information’ and process to optimise in closed-loop environment which will positively impact the bottom line. In this session, we will focus on the following areas:
- Process, challenges, current and new technologies application in the area of remote monitoring, current and next generation of wireless telemetry
- Data gathering through cloud platform and available data analytic visualisation
- Reservoir management in digital era
- Increasing operational productivity and efficiency across major business units
- Best practices for data integration from field to the office
Although cloud computing is increasingly turning to reality for many oil and gas companies, the fear of information loss and cybersecurity remains top of minds. With the increasing adoption of IOT devices and sensors technologies, newer game-changing hazards emerges and heighten the potential risks of disrupting information flow, theft of sensitive information, and physical interference with equipment and processes which can cause serious damages to business operations. The session focuses on understanding how cloud computing has evolved and addresses key security issues that have been keeping CIOs awake at night.
Tuesday, September 12
Everyone has to deal with legacy systems and it’s only going to get worse. This session will investigate issues around compatibility, interoperability, the choice between retaining the status quo and making new technology investments, and future technology drivers for change. Discussion questions will include:
- Strategies for basic compatibility with future systems
- Interoperability - implementing new technologies, systems, and processes with legacy systems
- Coping with legacy systems - overcoming the inertia of the status quo
- Technology advancements and planned obsolescence
- How do changing business needs and evolving best practices affect upgrade decisions?
Oil Industry is not alien to Data. Data has always been integral part of almost all aspects of Oil business, be it finding new oil, enhancing production, reduce risks or optimising costs. What has changed today is the availability of new Digital Technology under the umbrella of Big Data & Analytics. These technologies present a significant opportunity to bring about a radical change in the way things have been done traditionally. Fields of Future is a session that provides a platform for the leaders/ speakers to challenge themselves in coming up with their own vision of how Digital Technology will transform the Oil & Gas Industry. The sessions seeks to explore beyond the obvious to define the future of what is possible.
The focus of the session lies on value creation for upstream operations. Sensor technology and IoT are generating a vast amount of data, but currently only a fraction is used for decision making. For example, only 1 percent of data from an oil rig with 30,000 sensors is examined. In completing a circuit from action back to modified action, also called the value loop, insights can be gained and operations can be optimized. This session addresses the success criteria of data analytics in the value loop and the value of the insights from increased utilisation of existing data.
Disruptive technology such as IoT has changed the way of life at personal level in all walks of life. Hence, O&G industry the change and transformation, is imminent, whether we like it or not. However, as we all experienced in any industry, adopting technology/change within the organization has always been a great challenge and it hinges on the Change Management. In order to ensure and secure the return on the investment, organizations are faced with challenges of behavioural change to adopt the new way of working. In the session, we should explore and breakdown what are the key factors of these challenges. Key factors could be cultural, social status and/or any other psychological obstacles and the speakers are to explore the approaches in Change Management addressing them.
Unplanned Deferment refers to events that are known and expected but not planned. The cost paid by the industry in terms of lost barrels is significant and demands attention. One of the consequences of this phenomenon is the inherent uncertainly of any forecast that is projected. The new advances in technology involving internet of things, reducing costs of sensing equipment, speed of processing and concepts of cloud computing etc.. is creating a lot of hope in this area by collecting data that can access every piece of equipment and predict its performance thereby potentially reducing the downtime. Industry’s acceptance of such practices will go a long way in improving bottom-lines and help enhance the accuracy & quality of forecasts
Wednesday, September 13
Traditional technologies for modelling the subsurface have been used for many years, including standard Geophysical and Petrophysical interpretation, static modelling, geostatistics, dynamic modelling, streamline modelling, material balance and more With the advent of ever increasing computing power and methods such as neural networks, deep learning, big data, and other forms of artificial intelligence, the traditional processes & workflows are being transformed to deliver better value, higher resolution and lower costs. Top Down Modelling is one of the many solutions that are being currently offered. This session will focus on these new non-traditional technologies, where practical applications have been applied. With the advent of ever increasing computing power and newer methods such as neural networks, deep learning, big data, and other forms of artificial intelligence, it is imperative that the subsurface modelling take advantage of some of these new data-driven technologies to create new methods/paradigms to evaluate the subsurface and get the most out of oilfield investments. This session will focus on these new non-traditional technologies, where practical applications have been successful.
The advent of advanced information and communication technology and real-time data has enabled Integrated Operations implementation that introduce new work processes in order to reach faster and better decision making. This session will focus on Integrated Operations in the real-time modeling and data analytic application in facilities management. Session topics and case studies include IO implementation and how real time modelling and digital solution such as data analytic application leads to productivity revolution and promote a more effective and efficient facilities management.
Most business processes of large corporations have been established and fostered long time ago, maybe some even before the digital revolution. Therefore, they are nowadays lagging behind the tremendous capabilities of new technologies. Changing these processes and adapting new technologies is often cumbersome and slow. Success is not always guaranteed. The focus of the session is establishing quantitative measures for how the timeliness of decisions can be aligned with the pace of technology and reducing risk and uncertainties in E&P projects.
The focus of the session is establishing quantitative measures for how the timeliness of decisions can be aligned with the pace of technology and reducing risk and uncertainties in E&P projects.
Thursday, September 14
In today’s world, traditional methods of drilling oil wells don’t work as much anymore. Yesterday’s practices are being superseded by a universal trend towards the extensive use of historical and real-time data to understand, learn and predict all well intervention operations. This course explores the impact of data analytics on well operations. Drawn from the presenter’s extensive experience in data analysis, it examines, in easily understandable terms, today’s data management processes targeting process improvement.