Playbooks Supplements

Data-Driven Oil Fields 2017

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JANUARY 2017 | DATA-DRIVEN OIL FIELDS | EPMAG.COM 26 Looking at these elements in greater detail: • Intelligent engineering: covers the processes, tools and standards that take project execution from a traditional multivendor approach to one that streamlines equip- ment to minimize human error, risks and labor costs by exploiting the benefi ts of single-source accountability. It improves fl exibility, reduces dependencies and increases effi ciencies while lowering costs and accelerating projects. • Intelligent infrastructure: comprises a wide range of prod- ucts and systems for power, automation and telecommu- nications, such as closed circuit television, instrumen- tation, drives, power management and control systems. The intelligence of these devices refers to the fact that many have Ethernet IP interfaces and can easily join the industrial internet of things (IIOT). However, frequently the infrastructure chosen is far from intelligent—often a patchwork of disparate systems and interfaces that have little chance of being effectively integrated to optimize overall performance. Combining the above elements uses digital technologies such as virtualization, emulation, simulation and cloud computing to remove the need for hardware in the factory, making projects faster and more cost-effective. Virtualization provides the perfect environment for distribut- ed engineering to meet the demands for today's modular process plant construction using several engineering, procurement and construction (EPC) contractors in different locations around the world. The development of emulators such as Soft FF, Soft IEC 61850 and the development of software-based simulation applications such as Soft I/O and Sim I/O are successfully lowering engi- neering costs, risk and delivery times associated with functional testing. This is achieved by removing the need for hardware staging and replacing expensive, manually driven testing, with software-based testing. By providing more realistic testing feedback through sim- ulation, vendors are able to provide additional value to the functional testing conducted in the cloud. Virtual commis- sioning, using simulation models, leads to reduced costs and time during commissioning and an earlier startup. Additionally, there are many ways cloud computing can be used to cut costs and accelerate completion, ranging from facil- itating global standardization to lowering the costs associated with staging IT infrastructures and transferring engineering artifacts between vendor and customer. An example where bringing together intelligent infrastruc- ture and intelligent engineering has resulted in signifi cant savings is in the development of ENI Norge's Goliat FPSO, a processing plant, oil storage capacity and accommodation facility located in the Barents Sea within the Arctic Circle— the fi rst-ever project there. This intelligent project required 50% less commissioning time and saw a 30% reduction in engineering costs. Overall system complexity and footprint were reduced up to 60%. And, as there was single-source accountability, Goliat came online with less risk as there were signifcantly fewer integration challenges than normal. Post-completion Goliat's ongoing costs are being streamlined through a diverse range of intelligent applications and intelligent services, which are optimizing production and profi tability. There is a revolution underway that will defi ne how future projects are executed. However, acceptance and adoption will depend on the end users, EPC contracts and vendors adopting this new way of thinking. As today's professionals retire, these new concepts are sure to become increasingly accepted. Collaborative operations: digitalizing existing installations With sites that already are operational, the focus is on optimiz- ing processes by analyzing diverse datasets to gain enhanced operational insights. Some have projected that leveraging the IIOT could save integrated oil and gas companies with an an- nual production of 270 MMbbl more than $500 million in pro- duction and lifting costs. Collaborative operations use Big Data and data analytics to realize the potential of the IIOT and deploy all four elements of Table 1. Daunting reams of data are consolidated into manage- able levels whereby people can take decisions, helping to im- prove coordination between functional silos by providing greater visibility and real-time system integration. To bring to life how a fully integrated approach to digitali- The ABB 800xA distributed control system technology enables collaboration and remote operations in a central location. (Photos courtesy of ABB) DIGITALIZATION

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