ECIM 2018 - 10th. to 12th. September in Haugesund


'Data Driven Transformation - Adaptation and innovation'


Work Stream Program


Work Stream program 2018 includes parallell sessions with more than 60 papers / presentations.

Each work stream will have a maximum of 8 presentations, 5 on tuesday 11th. and 3 on wednesday 12th. The presentations will start and end at the same time for all the parallell work streams. Each presentation is expected to last for about 25 minutes and the remaining 20 minutes are for Q&A and discussions.  Below is the status (98%) per date of confirmed papers for each work stream.




Work Stream: Enterprise DM

- Session Manager: Sun Lehmann, Equinor

Program Tuesday

12:30  Digitalizing the E&P business – is this different from the last technology hype?

- Magnus Svensson, E&P Subsurface Domain Responsible, EPIM

How can we ensure what we are doing now is sustainable and different from the last hype?

13:30  Challenges for future O&G data repositories and technologies addressing them

- Mark Skinner, Vice President, CGG Smart Data Solutions

Review of both the challenges and technology opportunities, describing the key features of future repositories that can address the challenges and maximize the opportunities.

14:30  Business Information Inventory

- Hege Renee Hansen Åsand, Principal Analyst IT Governance, Equinor

- Kim Bøjden, Senior Analyst IM Content Management, Equinor

A framework to identify business critical information in Equinor.

15:30  Digital and Automation Solutions for the O&G industry

          – A program developed from NTNU’s BRU21 project

- Egil Tjåland, Head of Department, NTNU - Department of geoscience and petroleum

The BRU21 objective is to address “technologies of the future” for the petroleum sector including safety aspects and a minimal CO2 footprint.

16:30  Expectations of ECIM as a newly graduated student within data management from IFP School

- Ivar Sørheim, Graduate Analyst Technology Management, Equinor

  Benjamin Baptiste Desiage, Graduate Engineer Petech Data Mgmt, Equinor

  Louis André Jean Lebrun-Chieux , Intern Coordinator Adm Services, Equinor

Petroleum DM at IFP School and what expectations I have of ECIM as a graduate in this domain.

Program Wednesday

08:30  How to get and know all data behind the portals?

- Kolbjørn Skjæveland, Head of Consultancy - Insight, Atea

By having automated access to the data behind portals like Diskos and L2S, companies can have better business insights, faster availability of data, better foundation for business decisions and QC activities. VNG uses AEPC for automation of downloading Well and Seismic from DISKOS.

09:30  What’s old is new again

- Erik Hochweller, Manager, Service Delivery and Operations, KADME AS

“Much of the secret behind new discoveries in mature areas involves delving into old data with renewed enthusiasm.”

10:30  Designing & Deploying a Well Portal
- Erik Sens, Subsurface Data Analyst, Shell / Technical Data Management

Quick and easy access and visualisation of  relevant well data.

Work Stream: Geo Information - 'GIS'

- Session Manager: Lorien Innes, ESRI

Program Tuesday

12:30  It’s Enterprise … again

- Karina Schmidt, Wintershall Holding GmbH

ArcGIS now and then.

13:30  Data liberation: Digitalization and GIS hand in hand. An insight into Aker BP´s spatial services and how we foresee the road ahead

- Jostein Bjerkan, GIS Operations Specialist, Aker BP

Spatial Services at Aker BP launched its new map portal “MapInsight” in May this year. It delivers a ton of improvements, tailor made widgets and transition to WGS84. The same content will also be served into a cloud based architecture using different technologies. But are we still causing a “silo-type” perception or may this work hand in hand with the larger digitalization initiatives?

14:30  Case study: A G&G user centric approach to deal with data in Exploration Brazil

- Sophus Aarnes, Principal Geologist Exploration, Equinor

What can be achieved (and what fails) when G&G users define data management purpose and tasks.

15:30  Democratization of geospatial analytics with R

- Dmytro Perepolkin, Data Scientist, Equinor

Tidyverse-inspired WKT-based modern spatial data ecosystem and geocomputation using `sf` package in R. Geocoding, mapping, analysis, presentation and storage of data for reproducible analysis.

16:30  GIS, the Subsurface and Graph Databases

         - Leveraging the power of integration to reveal Business Insight

- Grahame Blakey, Sr. GIS Consultant & Nick Fosbery, Integration Developer, Loxodrom Ltd.

How using graph database technology can help integrate subsurface data, GIS and document management systems to deliver actionable business intelligence.

Program Wednesday

08:30  NPD – Library of the NCS 2026

- Alf Veland, Architect, NPD

A view into the digitalization program of the NPD and the plans for “the library of the NCS 2026”.

09:30  Collection of outcrop analogue data, Book Cliffs, Utah-Colorado, using GIS Apps

- Sofia Campo, GIS Analyst, Equinor

The use of GIS Apps, digital cameras, Bluetooth accessories, Tablets and Mobile phones, as the main media for collecting geological outcrop data in the Book Cliffs.

10:30  Marine Spatial Management Tool

- Geir Arne Håland Nordhus, Marin geodatakoordinator, Kartverket

Experiences from the development of a Marine Spatial Management Tool for Norwegian Sea Areas.

Work Stream: AI and Data Science

Session Manager: Eirik Time, Equinor

Program Tuesday

12:30  Distributed Temperature Sensor Anomaly Detection using Machine learning

- Henning Lillejord, Sr: application & data Analyst, ConocoPhillips

- Nicolas Valayé, Scandinavia Production Business Owner, Schlumberger

Fiber optics Distributed Temperature Sensor (DTS) system has been widely used in ConocoPhillips Norway for the containment assurance monitoring. An innovative system is developed to be able to automatically monitor and detect anomalies from this data.

13:30  Enabling a Master Well Database using Machine Learning and Cloud Processing

- Karen Blohm, Digital Solutions and Diskos Programme Manager, CGG

  Kerry Blinston, New Business Development Director, CGG

Making sense of a large and disparate collection of data, acquired over 6 decades, required for a major, multi-year hydrocarbon regional prospectivity evaluation study – does this like a sound familiar data management challenge? 

Co-authors; Ahmad Al-Busairi, Ahmed Bouyabes, Kuwait Gulf Oil Company & Cesar Marin, CGG

14:30  Possibilities with Life of Field Seismic data

- Pål Navestad, Sr. Data Scientist, ConocoPhillips

Life of Field Seismic data help us understand changes in the reservoir. Work has been done to predict reservoir attributes as pore size and water saturation from post-stack seismic using machine learning. Further work has been done to describe changes over time using data management and advanced analytics.

15:30  Improved safety in operational planning using cognitive technology

- Gry Kristin Slettemark, Senior Information Management Analyst, Equinor ASA

A pilot, named Cognitive SSU, has been conducted to deploy machine learning technology on historical Safety related data to predict and prevent incidents before they occur. The initial step is to improve operational planning.

16:30  Embracing the possible:

          - Applying cross-transferable innovation and learning from other industries
- Angela Mathis, Chief Executive, Thinktank Maths Limited (Edinburgh)

Some relevant examples of projects using data, predictive analytics, A.I., ‘augmented intelligence systems’ from aeronautics, transport, Smart Cities and health, as well as oil and gas

Program Wednesday

08:30  Disruptive Technologies And How It Will Reshape Oil & Gas Industry?

- Khalid Abbas, Kzetta Technologies AB

E&P companies who are willing to innovate and use disruptive technologies will unlock tremendous potential value and will remain profitable in many years to come despite of oversupply.

09:30  The next step: Insights as a service.

            Unstructured data as decision support in subsurface disciplines
- Øystein Drivflaadt, Chief Technology Officer, IntOp

Gain insights into unstructured data without data scientists, using IntOp Engine and Context Layer to connect data to intuitive patters or contexts. Don’t move the data to a data lake, keep it where it is, and help users navigate and analyze it any way they see fit.

10:30  Application of machine learning for automated QC of seismic data
- Ketil Waagbø, Software Portefolio Manager, Cegal

The presentation will show examples of using machine learning algorithms to do quality control of masses of SEGY files.

Work Stream: Regulatory & Standards

- Session Mananger: Elin Lorentzen NPD

Program Tuesday

12:30  Diskos National Data Repository – Status and plans Challenges in an enhanced

           collaborative ecosystem – How Diskos is planning for the next contract

- Eric Toogood, Diskos Manager, NPD

- Karen Blohm, Digital Solutions / Diskos Programme Manager

A status for the main operations will be presented and we will provide insight into the current planning process for the development of Diskos in the future.

13:30  The value of NDR’s for Research and Education in the Geosciences

         – Improved knowledge of the Norwegian subsurface

- Michel Heeremans, Dep of Geoscience, University of Oslo

More than a decade, universities and non-profit research institutes have had access to DISKOS data. What impact has access to data from offshore Norway had on research and education activities in this sector?

14:30  Diskos API/Web-service - Benefits seen from a member perspective
- Jorige Suma & Hans Stokka, NPD / Rosario Negusse, Lundin

An introduction to the Diskos API/Web-service and show two member use cases. Lundin is using the API to automatically download well data from Diskos and the NPD is currently setting up the Diskos API towards the Production module.

15:30  Release policies for seismic data

- Elin Lorentzen, Diskos Deputy Manager, NPD

  Stig Losvik, Diskos Operation Manager, CGG

Regulations and practicalities for public release of data and how this is implemented in Diskos front-end.

16:30  Digitalization of Reporting system for exploration activity

- Oddny Svendsen, Geologist, NPD

Real time interaction and communication with user though Reporting System.

Program Wednesday

08:30  What Is A Completion

- Trudy Curtis, CEO, Professional Petroleum Data Management Association

A PPDM Regulatory Data Standards Committee Initiative.

09:30  The Life Cycle of Trusted Data: From Acquisition to Persistence… Or Not

- Jay Hollingsworth, Chief Technology Officer, Energistics Inc

Continuing from last year's paper on the importance of trust in knowledge work, the categories of trustworthiness, and how apparent data quality impacts perceptions of trustworthiness, this paper carries the trust concepts through into analytics and data management.

10:30  Improvement of data quality for statistical analysis of drilling efficiency

- Per Henning Sæle, Principal Engineer Data Management, NPD

Enabling statistical analysis of drilling efficiency by editing existing wellbore data, adding new attributes and specifying metadata definition.

Work Stream: Subsurface DM

Session Manager; Henning Lillejord, ConocoPhillips

Program Tuesday

12:30  Management of seismic data in public cloud storage

 - Ketil Waagbø, Software Portfolio Manager, Cegal

Use cases and solutions for managing seismic data storage in public cloud storage. Public cloud providers like Microsoft Azure, Amazon Web Services and Google Cloud provides low cost long term storage solutions that can be attractive for storage of seismic data as an alternative to tape storage. The presentation will show some use cases for seismic storage. Some challenges will be discussed together with potential solutions.

13:30  Shell/BG merger: A data manager’s view

- Jo Matheson, TDM Workflow Advisor, Shell, UK

A review of the Shell/BG Group merger seen from the practical view of a data manager within Shell UK.

14:30  Biostratigraphy to Petrel workflow solution

- Tedros Kifle, Sr. Geoscience Technician, Conocophillips

Challenges displaying and creating zones in Petrel for Biozones and comments.

15:30  CrossFire – a self-service portal for

            Exploration Well-data -Browsing, -Analysis, and -Management

- Dejan Zamurovic, Wintershall Nordzee BV

CrossFire shows how you can let end-users extract more insights out of a more transparently presented database, while saving time and costs for database administrators as well as for end-users.

16:30  AkerBP Data Cleanup Project

- Heidi Høland, Data Management Engineer, AkerBP

Cleanup and Digitalization of old data.

Program Wednesday

08:30  Rapid reservoir evaluation through automated reporting and data extraction

- Sabahattin Topdemir, Senior Adviser, Petoro AS

  James Gaunt, Product Analyst, Schlumberger, SIS

An data centric report-generating tool, aimed at reducing the amount of time required to extract key statistical and graphical elements of reservoir data.

09:30  PreStack Data QC - General Requirements and Procedure

- Dr. Antje Kellner, Data Manager, DEA Group

A new standard in DEA data management that utilizes the software Magma for the QC process; this enables us to use external disks/tapes without copying the PreStack data on our network.

10:30  Non-technical aspects on Data Driven workflows in sub-surface

- Tore Hoff, Specialist Information Management, Equinor ASA – Exploration IT

Using Business Information Inventory and  Information Architecture modelling in re-establishing a platform for sub-surface data platform.

Work Stream: Digital Transformation

Session Management: David Holmes, Dell EMC

Program Tuesday

12:30  Data Centricity in Connected Digital Operations

- David Holmes, Dell EMC

Why data should be at the heart of your connected digital operations strategy.

13:30  Condition Based Maintenance as a Service

- Simon Francis, Commercial Lead, Arundo

Hear how Arundo is delivering real business benefits in optimisation and maintenance for  Heavy Asset Industries through data collection and analysis, using a powerful combination of Edge and modern machine learning techniques to get insights into the hands of the business. Arundo will provide real life examples of how enterprises are utilising silicon valley techniques to solve their problems.

14:30  Democratising AI - Machine Learning for the Simple Geologist

- David Holmes, Dell EMC

A new title of 'Citizen Data Scientist' has recently started circulating. This presentation will consider what this actually means, and how we need to change the way we configure data management systems to support a new breed of power-data consumers.

15:30  Data Management Unsession Part I
- Matt Hall, Agile Scientific
Have you ever wondered what the combined brains of the ECIM community could achieve if they put their heads together for a couple of hours? In this first session we will brainstorm the most pressing problems in Geoscience Data Management. 
15:30  Data Management Unsession Part II
- Matt Hall, Agile Scientific
Have you ever wondered what the combined brains of the ECIM community could achieve if they put their heads together for a couple of hours? In this second session we will select some of the problems from part I and solve them! Well, maybe not solve them, but at least explore ways to approach solving them.

Program Wednesday

08:30  Indexing seismic acquisition reports using a machine learning

- Henri Blondelle, Co-Founder, AgileDD

How to build an efficient learning model for subsurface data management with a minimum of training?

09:30  Driving better predictions in the oil and gas industry with modern data management

- Jane McConnell, Practice Partner, Oil & Gas, Teradata

- Paul Ibberson, Ecosystem Architect, Teradata

Best practices and lessons learned helping oil companies modernize their data architecture and plan the IT/OT convergence required to benefit from full digitalization.

10:30  Discovering, leveraging and protecting seismic data through processing and interpretation lifecycles

- Chris Bearce, Product Manager / Simon Kendall, CEO, Interica

As application portfolios and people change over time within organisations, so can separation and diversification of metadata. We will discuss ways to reconnect information and leverage and protect this data.

Halliburton-Landmark Room

- Session Manager: Brit Berg

Program Tuesday

12:30  Design of effective net thickness maps using machine learning, and how poor data impact this

- Welton Souza, Technical Advisor, Halliburton-Landmark

In this presentation we compare classic techniques against machine learning techniques and outline the benefits of artificial neural network (ANN) to reduce the effort required by geoscientists to quickly and effectively quantify parameters like net thickness.

13:30  Recall Next Generation (NG)

- Amanda Smith; Product Manager - IMPT, Halliburton-Landmark

 During this session we will share product focus, high level timelines and updates from how the system is moving towards a full commercial release.

14:30  iEnergy NDR

- David Seymour, Industry Solutions Advisor, Halliburton-Landmark

The advances and maturity in new technology have come thick and fast; Cloud, Data Science, automation - we are presented with many more options for how we structure systems and operations for NDR solutions. We will explore how each of these key technology advances has bought value to NDR solutions and what the modern generation of NDR systems look like - this is the iEnergy NDR.

15:30  Driving Digital Well Construction - Practical Case Study from Norway

- Alexander Brekke, Drilling Engineer – Digital Plan,  Aker BP

The digital transformation has been upon us for years and billions of machines and systems generate astonishing amounts of data—which is also the case in the Aker BP sphere of operations. We have already crossed some of the technological barriers to enabling the digital oilfield.

16:30  DSIS Enterprise Solution; How process automation can be used to increase efficiencies in data transfer workflows

- Atul Solanki, Operations Manager, Halliburton-Landmark
- John Norman, Technical Advisor, Halliburton-Landmark

Data transfer automation and optimization can bring efficiencies, increased accuracy and ultimately reduce costs. We will describe how DSIS has enabled this and demonstrate it through examples between master data stores, applications and the project environment.

Program Wednesday

09:30  Data quality to optimize your data for applications and data science

- Amanda Smith, Product Manager - IMPT, Halliburton-Landmark

As we look to the new machine learning use cases, data quality is just as critical. We will discuss a use case and how we used DecisionSpace Data Quality to access and continually monitor data.

10:30  Value of automation

- David Seymour, Industry Solutions Advisor, Halliburton-Landmark
- Lars Vatne, Consulting Advisor, Halliburton-Landmark

With limited resources for data management we must look for efficiency gains, one method is to look at automating tasks that are highly manual and repetitive. We will explore the value of doing this, what a future world with automation looks like and the key enablers / issues with automation.

Schlumberger Room

- Session Manager: Alan Cleeton, Schlumberger

Program Tuesday

12:30  New data ecosystems that empower E&P Cognitive Environments

- Paddy Dineen, Data Platform Manager, Schlumberger

How an effective data management program will create an integrated working ecosystem; where all E&P units will function as one, having trusted data at their fingertips at all times to empower the new generation of E&P cognitive environments.

13:30  The role of data in driving digital transformation to create and sustain competitive advantage

- Emilio Marisei, Director, Global Digital Transformation Consulting

- Alvin See, Digital Enablement Consulting, Schlumberger

Companies continually point towards digital transformation as the ‘cure all’ for ‘all ailments’ in Oil & Gas. However, what does this really involve and what is the role of data throughout the journey and beyond?  How can you maximize benefits from it holistically and what can you learn from others?

14:30  Data Integrator – delivering automated data flow across the organisation via ProSource and Studio and on to DELFI

- Anne Sofie Beck Sylvestersen, Information Management Engineer, Schlumberger

Data Integrator delivers a modern web-enabled front end to address the integration needs across the data life cycle. Building upon proven technology, Data Integrator delivers automated, robust workflows to deliver data flow between multiple data sources. This presentation will demonstrate data flow between ProSource and Studio, with automated data delivery from data receipt through to data consumption in the application space.

15:30  Liberation of data enabling better collaboration and opening up new workflows in DELFI

- Odd Inge Thorkildsen, Sr. Information Management Engineer, Schlumberger

Liberating data and engines from proprietary data systems and applications is key in creating better insights and in enabling new workflows to ultimately drive efficiencies. Petrel data and engines are being liberated from Petrel to provide both end-users and enterprise data managers with improved insight into their data, better collaboration and simplified project storage workflows. Come and see how Petrel data is evolving in the DELFI environment.

16:30  Studio & Openness delivering a targeted overview of your assets whoever you are – from sys admin right through to the Asset Manager and everyone in between

- Tim Hollis, Geoscience Data Portfolio Manager, Schlumberger

- Bjørn Thorsen, CEO, RoQC
Data held within Studio is of interest to many personas across the company – the system administrator and the data manager might be interested in size, scale and rate of change of data held within Studio. The G&G end users are more interested in what is available and the associated quality of the data. The Asset Manager and Senior Management Team might be more interested in the overall health of the asset from a quality perspective.  Come and see how you can provide KPI overviews of the data held within Petrel and Studio targeted towards specific audiences.

Program Wednesday

08:30  From data to actionable insights in production operations

- Mahyar (Matt) Mohajer, Manager - Planning & Production, Schlumberger

Schlumberger is developing a new digital production operations advisory system designed to transform our industry’s approach to the digital oilfield (DOF). This solution brings a unique combination of petroleum engineering domain science and digital technologies to bear on the challenges that exist in the core processes of E&P companies. The solution automates routine analyses, distilling the data into meaningful insights and presenting users with key risks, issues, and opportunities in their asset, allowing the asset team to concentrate their efforts on higher-value tasks.

09:30  Cognitive Environment for Regulators of Upstream Oil and Natural Gas Information

- Paddy Dineen, Digital Transformation - Data Platform Manager, Schlumberger

How to deliver an industry leading cognitive E&P environment to enhance and augment digital solutions for NDRs, by leveraging artificial intelligence and machine learning techniques to provide immediate access to extensive, holistic, and dynamic content for an entire area of interest.

10:30  Rapid reservoir evaluation through automated reporting and data extraction

- James Gaunt, Product Analyst - Guru, Schlumberger

Schlumberger have developed and provided Petoro with an data centric report-generating tool, aimed at reducing the amount of time required to extract key statistical and graphical elements of reservoir data.








































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