ECIM 2019 - 16th. to 18th. September in Haugesund


'Digital Transformation - from Vision to Reality'


Plenary Program Details - Abstracts and Presenters Bio

Plenary Session - Tuesday 17th. September

Session Managers: Sun Lehmann, Equinor and Dan Brown, CDA 


08:25  Opening remarks by Sun Lehmann, Equinor (Program Committee Chair)


08:35  Society for Petroleum Data Managers

- Lars Gåseby, SPDM Board Chair/Shell TDM Advisor, SPDM/Shell

The role of the society for the data managers in a changing environment.


Abstract of the presentation:  The Society for Petroleum Data Managers was established earlier this year and has gained good attraction amongst the data managers. The society, being new, has important next steps to define its focus areas (like events, workshops, networking, competencies) which coincides with a change of the data manager role in many companies.


08:50  Transforming Data focused Career Development at BP
- Robbie Watson, BP and Ruairi Dunne, BP
An Introduction to BP’s Career Development Framework and Learning Experience from the perspective of a discipline lead and graduate.


Robbie Watson: Discipline Lead for Upstream Data Management within BP having over 34 years’ experience in the Oil & Gas industry. Focused on creating a career environment in which data managers can learn, develop and thrive.


Ruairi Dunne: A Data Science graduate with 1 years’ experience at BP, with a BSc and MSc in Geology & Petroleum Geoscience, Imperial College, and Energy Industry internships. Undertakes a role that includes programming in python for data visualization, wrangling, exploratory data analysis (EDA) and machine learning.


Abstract: The upstream oil & gas industry has been contending with massive data sets and monolithic files for many years, but “Digital”—that is, the ability to apply more sophisticated types of technology & processes to data in a way that extracts new insights or creates new forms of value—is a relatively new concept that has the potential to significantly re-shape the industry. In order to enable this Digital revolution, we need an organisation of skilled professionals that see a career in managing this data. Deployment of a Career Development Framework that takes data management from being simply a “job” to being a progressive career, supported by learning and development opportunities in a structured way is key to our success. Building an environment that will stimulate innovation and excellence whilst providing data professionals with a “home”, will allow us to attract and retain the top digital talent we require. This session will briefly describe the data management journey in BP, including where we have come from and where we are going to, focusing in on how we intend to get there. In addition, insight into the early experiences of this approach will be provided by a Data Science graduate, touching upon prior career expectations versus reality, with some examples of projects to indicate the level of responsibility and exposure given along with associated learning and development opportunities.


09:15  Why data management (still) matters
- Niall O’Doherty, Director, Teradata
It might not be fashionable to say it, but good data management still matters. It is the core to delivering against the promise of AI, ML and accurately predicting the future.


Niall O'Doherty leads a team of business and industry focused consultants that are helping leading global companies to do more with their data and drive value through analytics.  Niall has responsibility for entering and growing new industry, markets and customers for Teradata, in industries as diverse as Retail, Banking, Oil & Gas, Automotive, High Tech, Utilities and Government. He is very focused on the value of detailed and complex data and especially the proliferation of the “Internet of Things”, Digitalisation and the associated analytics that are required. Before joining Teradata in early 2002 Niall worked for BearingPoint (KPMG Consulting), Johnson & Johnson and E&J Gallo Winery. Niall holds a B.E.and an M.Sc.(Eng) from University College Dublin. He is a fully signed up supporter of Leinster Rugby.

Abstract: In their recent book “Prediction Machines”, Argawal, Gans and Goldfarb argue that data are a key complement to prediction - and that they therefore become more valuable as machine learning becomes cheaper and more ubiquitous.  It is perhaps ironic, then, that as they scramble to deploy Machine Learning and AI, many organisations risk repeating historic mistakes by regarding data management as too difficult, too costly, too time-consuming – or a combination of all three.  In this presentation, we will make the case, using some real-world examples, that in a near future in which most large organisations will deploy many thousands of predictive models in production, data and model management matter more than ever – and that far from inhibiting business agility, good data management actually enables organisations to move further and faster.


10:10  Accelerate Subsurface Digital Transformation

            with the Open Subsurface Data Universe Data Platform
- Phillip Jong, Manager Data Foundation Design, Shell Global Solutions Inc.
The OSDU data platform will enable secure, reliable, global, and performant access to all subsurface data. This fully integrated data and workflow platform is the foundation to unlock more value from our data and fully enable replication and scale-up of existing digital initiatives. It will result in faster delivery of capabilities and reduce the implementation and lifecycle costs across the subsurface community.


Phillip Jong worked at Shell as Manager Data Foundation Design.  He has worked in many areas of Subsurface from seismic processing to reservoir simulation.  Currently he is the chairman of the Open Subsurface Data Universe forum of the Open Group. His interest is to transform the subsurface data landscape to drive and accelerate the digital journey.


Abstract: The OSDU data platform will enable clear data ownership structures, standardize metadata for all relevant data types, define automatic data ingestion workflows, provide search capability across all data types. Open and standard APIs will be available to load, search, and deliver all subsurface data. The platform enables a new architecture of micro-services to support innovative and data-driven workflows. In this platform high-end data analytics and data science are commonplace. Agile practices and other new ways of working are disseminated across subsurface, allowing for simpler organizations, composed of multi-disciplinary teams with data-science as an integrated core capability.
There are currently over 42 operators and suppliers actively participating as member organizations of the OSDU Forum It is our belief that the success of a digital energy company hinges on its ability to make data available to our users at any time and place. The OSDU Forum supports this ambition by enabling standardized access to subsurface data, separating lifecycle data management from the applications enabling innovation and creative use of subsurface data.  This paper summarizes the motivations of this open initiative, the goals and ambitions, the progress to date, and the future plan.


10:35  Taking over all the data from a mature asset – A case study from Draugen
- Pål Andresen, Data Manager, Okea / Johan Kinck, Sr. Technical Advisor, IO-Data

This presentation will give a short overview of the company OKEA and the many challenges facing a small new company taking over a mature asset from one of the supermajors.


Pål Andresen works as consultant in Data Management for OKEA AS. He is a geologist of background and has 30 years of experience from Saga Petroleum, Norsk Hydro, and Envision.


Johan Kinck works as Senior Technical Advisor for iO-Data. He is a geophysicist of background and have been working with Data Management for 25 years in Saga Petroleum, Petrodata, Hydro IS Partner, Spring Energy among others.


Abstract:  Focus will be on the size and type of data handed over and the many types of media involved in such a process. Topics that will be covered revolves around the practical problems facing those involved, amongst them how to ensure completeness of the delivery and how to handle the data delivered. The assistance given both by the tools and services of the service companies in this case will also be covered. Lessons learned and important points to bring into similar cases will form the conclusion


11:00  The augmented geoscientist - New tech in the treasure hunt for oil & gas
- Kine Johanne Årdal, Digitalisation Manager, Pandion Energy AS
  Morten Forfang, Director of New Solutions, Computas AS

Technology paving the way for the augmented geoscientist, who with help from machines can transform the subsurface workflows and utilize a world of data for improved insights and understanding.


Kine: Geoscientist and digital ambassador, with experience from exploration and offshore operations in Norway and UK. Worked with E&P companies like Chevron, Spring Energy, Tullow and AkerBP. Now leading digitalisation in Pandion Energy and development of the KAI data platform.


Morten: Oversees company work on cloud, machine learning, big data, IoT, technical presales. Advisor and architect. Builds proof-of-concepts. Steers policy and best practices work. Former associate professor in statistical pattern recognition. Ph.D in Artificial Intelligence.


Abstract: Pandion Energy has recently started digitalization of its subsurface capabilities through applying new digital solutions to geological and geophysical data. The objective is to transform the subsurface workflows to drive innovation and enhance efficiency in the exploration for oil and gas on the NCS.
This work has been motivated by Kerogen Capital, the company’s investor, selecting Pandion Energy as their pilot for developing an advanced digital subsurface platform (KAI). As part of this, Pandion has partnered with Google and Computas, and mobilized a dedicated team with machine learning, datascience and geoscience experts, working closely with the core business.
The first focus for the KAI platform is to provide machine readable and structured subsurface data, with data types used to analyze the key petroleum elements as an essential part of the development. It is well known that the petroleum elements are like pieces in a puzzle that must fit together to find oil/gas, and integration across all the geoscience disciplines, at different scales, is key. It is therefore a paradox that the elements and respective data are still quite siloed and difficult to combine. This paradox is a key motivation for KAI in the development of digital solutions and AI. Pandion has started the journey towards the augmented geoscientists, who works alongside machines and can include a world of data into the analysis, integrate cross discipline data and seeing the subsurface with new eyes.
Pandion Energy will together with Computas share learnings and perspectives from how new technologies are being applied in the subsurface workflows.

Plenary Session - Wednesday 17th. September

Session Manager: Elin Lorentzen, NPD and Lars Gåseby, Shell 


11:45  Trust and Betrayal - Creating & Maintaining Dependable Sources of Truth

- Jay Hollingsworth, Chief Technology Officer, Energistics

The Role of Metadata in Maintaining User Confidence in Data Assets


Jay Hollingsworth is currently Chief Technology Officer for Energistics. In this role, he is responsible for the technical adequacy of the standards stewarded by the organization, including WITSML, PRODML, RESQML and the Energistics Transfer Protocol, among others.

Jay has a BS plus post-graduate studies in Chemical Engineering at Tulane University in New Orleans. He spent 20 years at Mobil Oil where he was a facilities engineer before switching to technical computing. After ExxonMobil, he spent time in Landmark’s data modeling group before settling as Chief Data Architect at Schlumberger. After 10 years at Schlumberger heading the data modeling group he was an Industry Principal at Oracle, focusing on oil & gas solutions.

Jay is active in numerous industry organizations, including IOGP, the OPC Foundation, ANSI, SPE, AAPG, EAGE and SEG. He is currently on the Board of the SPE Drilling Systems Automatrion Technical Section and was a long-time member of the Board of Directors of PPDM and served as past president of APSG.


Abstract: Knowledge workers need reliable data as early in their processes as possible to make decisions that improve operational efficiency, enable worker safety and minimize costs. As we have previously shown, data do not have to be of uniformly HIGH quality to be useful, they have to be of APPROPRIATE quality for the task at hand. To decide whether the data are appropriate or not requires the availability of additional information - "metadata" - so the user can decide what to use and what to leave behind.

This presentation will identify facets of trustworthiness which data consumers - sometimes unconsciously - apply to data as they begin to develop a trusted dataset to perform their work.
When data consumers lose their confidence in a source of data, regaining that trust is a key problem faced by the data managers who support them.
We then discuss how to conveniently represent these facets of trustworthiness as additional “metadata” and how to carry that information along as data makes its way through the seismic to simulation (or exploration to abandonment or whatever a company uses) workflow.





























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