Aldri mer proof of concept: Hvordan legge til rette for dataanalyse i stor skala

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1 Dr. Paula Doyle, VP Industry Solutions Cognite Aldri mer proof of concept: Hvordan legge til rette for dataanalyse i stor skala October 2018

2 Cognite at a glance SAAS TECHNOLOGY COMPANY WITH GLOBAL REACH UNIQUE TEAM COMBINING INDUSTRY WITH SOFTWARE BACKGROUND: Incubated by Dr. John Markus Lervik and Aker ASA. Transforming asset intensive industries by combining Aker s industrial experience with founding team s ability to commercialize and scale software 10+ International Informatics Olympiads medallists 15% Phds MISSION: To present a digital representation of the industrial reality to make it accessible and meaningful for humans and machines SOFT WARE Technology team Customer success MGM CON. TECHNOLOGY: One industrial data platform making all your data available contextualized, with no latency 1) Norway s largest industrial conglomerate with > USD 6 bln in gross asset value LONG-TERM: Backed by Aker ASA, the largest industrial group in Norway. Long-term financial foundation and legacy of industrial expertise 2

3 What is digitalization? Digitalization is changing how we work, both people and machines Digitalization is changing our business models - how companies operate and collaborate

4 Technology has disrupted our everyday lives 4

5 Industrial reality in 2018

6 The digital hype in O&G is (soon) over The height of the hype Proof of concepts some failures and some successes No real cases of highly scaled transformations Bottom line effects are quite close to zero Significant activity level but few if any have the pipeline needed Digital has not really changed all that much mostly ringfenced pilots - way of working still the same We are here Transformative change Valley of despair SOURCE: McKinsey AA/Digital in O&G service line 6

7 and the digital transformation of the O&G sector is likely to be more linear than truly disruptive O&G is different Digitalization in O&G will be characterized by heavy and steady lifting SOURCE: McKinsey AA/Digital in O&G service line No strong digital savvy customer base The end-product is physical 10X capital spend per revenue dollar vs a bank Long cycles 5-15 years for new fields Safety focus tend to underpin a conservative approach A comparatively stronger supplier industry with its own agenda No 2-3 areas or core technologies realizing 80% of the value rather a sum of many parts O&G operators will have to carry most of the load Suppliers not expected to drive much at least not next 2-3 years 7

8 A single drilling rig can generate over a terabyte of data daily, but less than 1 % is ever analyzed and used for decision-making 100% 30,000 sensors gathering data <1% Is used for decision making Data capture Infrastructure Data management Analytics Deployment People and process 40% of data is never stored 1% of data can be streamed onshore for daily use Data can t be accessed in real time Reporting is limited to a few metrics No interface is in place to enable real time analytics Maintenance is still conducted at manufacturerrecommended intervals *Source: Cisco & McKinsey 8

9 A digital transformation requires a change of mindset Turning data into a strategic asset with the vision of making it all available, instantly, on any device Digital vision and KPIs Enable change and innovation to happen bottom-up Accelerated value extraction top-down Top-down selection of focus areas for resources and external partners to prove value and spearhead cultural change through dedicated agile crews 9

10 3 steps to scaling data analytics in the industry Step 1: Data liberation from source system - remove the data silos. Evergreen data available instantly anywhere. 10

11 3 steps to scaling data analytics in the industry Step 2: Continuous optimization and contextualization of often incomplete data. Common data model enables cross domain analytics and visualizations. 11

12 3 steps to scaling data analytics in the industry Step 3: Unique tools, services and open APIs to ease value capture and speed of operationalization across all assets. 12

13 The change in the NCS is already happening 13

14 From scheduled maintenance to predictive maintenance Spotfire 4 With domain expertise from MHWirth and live data enabled through the Cognite Data Platform new predictive maintenance models are calculated and visualized through third party tools such as Statistica and Spotfire. 2 3 COGNITE DATA PLATFORM 5 1 SAP Control System Internal DBs 14

15 AkerBP-FRAMO sea-water pump smart maintenance contract Framo deliveries to Ivar Aasen 15

16 Lundin: Global pioneer in data sharing with other operators 16

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