2022
E&P Data and IM Conference and User Meeting 2022

Work Stream Programs

 

The Work Stream program 2022 includes more than 60 presentations.

A work stream can have up to 8 presentation slots (sessions),  5 on tuesday and 3 on wednesday. The sessions start and end at the same time across the parallel work streams.

 

Each presentation slot is 45 minutes; The presentation itself is intended to last for about 25 minutes, and approx. 20 minutes are for Q&A and discussions. Then there is 15 minutes break for free conversation and preparing for next presenter.

 

WS Room G - Data Science (2nd. Floor)

Session Manager: Ellen Volden, Equinor

WS Program Tuesday

12:30  Ontology-based data access: subsurface databases on steroids

- Adnan Latif, Center Executive Manager, SIRIUS SFI, UiO

Demonstration of a technology that can enable end-users to formulate and run complex queries (based on G&G/Petrophysical attributes) without knowing anything about the underlying database(s) architecture, without writing a single SQL line and queries formulated based on G&G/Petrophysical concepts and vocabulary.

13:30  The GAIA Explorer, an efficient search companion!

- Xavier DU BERNARD, Senior Geologist, TotalEnergies

This new companion organizes and extracts information from large number of unstructured technical documents by using custom Machine Learning (ML) models trained on TotalEnergies datasets.

14:30  Data Mesh – why is everyone talking about it and why should you care?
- Winfried Adalbert Etzel, Information Strategy Consultant, Bouvet Norge AS
This presentation will give a quick view behind the curtain: What is Data Mesh and why did it gain so much popularity?

15:30  Unlocking subsurface data in documents to benefit the energy transition

- Eva De Boever, Project leader, Geological Survey of the Netherlands / TNO

16:30  How IDP, Intelligent Data Processing can ease some of the subsurface data managers tasks
- Henri Blondelle, Founder and CSO, Agile Data Decisions

Capturing taxonomies and ontologies from technical documents.

WS Program Wednesday

08:30  Automated log data conditioning workflow pragmatically converts raw un-edited data to corporate standard data

- Bin Gao, Data Solution Consultant / Team Lead, Schlumberger Digital & Integration

Practical Log Data Conditioning workflow empowered by Machine Learning, engineered to run 24/7 seamlessly between the user and the cloud storage. The workflow transforms raw data from the oilfield and public archive to standardized high quality logs for Petrophysical team in the O&G industry.

09:30  Determining Data Quality Using Machine Learning Module – End-User Perspective

- Sebastian Abiodu Fearon, Data Management Geologist, Petroleum Commission, Ghana

An approach using the End User survey to determine Data Quality. Probing both Data Governance and Data Quality domains.

10:30  The Digital Transition Journey from a Subsurface Data Management Perspective

- Laraib Jalil, Solutions Advisor, RoQC Data Management

Customer Case with OMV - A methodology to prepare for and operate in a cloud environment. On Premise > Shift & Lift > Cloud Native.

WS Room A - Enterprise IM (Gr. Floor)

.Session Manager: Lars Gåseby, Shell

WS Program Tuesday

12:30  Defining the basics to be prepared for change

- Liv Stordahl Borud, Leading Advisor Data Management, Equinor

Implementing a data governance model and developing the data profession in Equinor.

13:30  Data Governance Office - a long time coming
- Lisa Blackley, Underground Data Manager, Aker BP

Data Governance …. something to aspire to?  But do we really need it to manage subsurface data.
The answer is of course yes, but it’s taken a dashboard and a set of KPI’s to truly understand why.

14:30  Cataloging Data Products for data- compliance, re-use and increased business value
- Li Ying Sun, Principle Analyst IT Architecturet, Equinor ASA
Having a lot of valuable data that you would like to safely share? Or do you need a lot of quality data to do your work? - Creating an overview of your data assets and understanding how they may be re-used in a secure manner is essential in a data driven culture. Equinor’s common data catalog allow data product owners to govern strategic data assets and at the same time empowering data consumers to easily find, get access and use data products.

15:30  Subsurface data management re-invented
- Gruijters S.H.L.L. Bsc Msc, Portfolio Manager, TNO Geological Survey of the Netherlands

How to create a data model that is both sable and flexible.

16:30  DrillX – our digital program to leverage drilling and wells data
- Soizic LE FUR, Drilling and Wells data manager, TotalEnergies
This presentation aims at giving you a few examples of Use Cases (MVPs) built by TotalEnergies, among which we could mention well design and operation planning, but also improvement of the quality and safety of our operations… considering the journey is just started!
WS Program Wednesday

09:30  Experience from a Digital Journey
- Axel Todal, Delivery Lead, Sval Energi
A presentation of Spirit Energy’s digital journey 2019-2022 and key learnings. Spirit Energy Norway has now been acquired by Sval Energy.

10:30  How to Engineer a Data Mesh to Deliver Value at Scale
- Niall O'Doherty, Director Industry Consulting, Teradata

The emerging Data Mesh pattern is gaining attention by demonstrating how organisations can deliver value faster by federating the development of data and analytic platforms.

WS Room F - Geospatial (2nd. Floor)

- Session Manager: Pedro Gomes, Equinor

WS Program Tuesday

12:30  GIGS 2.0 – putting geospatial integrity back on the map

- Josh Townsend, Geospatial Strategic Projects Lead, BP
  Richard Wylde, Geodetic Specialist, NDDM

A decade after it’s initial release at ECIM 2011, hear about the importance of geospatial integrity in geoscience data, what GIGS is and how it’s changed in a recent major update.

13:30  The Need for Time Standards in Geospatial Metadata
- Kris Berglund, Vice President of Sales, Blue Marble Geographics

 The need for modernized standards to acknowledge time across geospatial data formats has become clear and the time we began to need those standards has already passed.

14:30  The world is changing -  Are we moving away from ED50?
- Sigrid Matthes, Task Lead and Product Owner Geospatial Integrity
  Monika Zakrzewska, Principal Analyst IM Data Management, Equinor ASA

Challenges when introducing dynamic Coordinate Reference systems and Transformations in the current suite of applications.

15:30  Extending the OSDU™ Data Platform with the Geospatial Consumption Zone (GCZ)
- Brian Boulmay, Director, Petroleum Community & Solutions, Esri

Join us for a session to learn more about the OSDU™ Data Platform and the Geospatial Consumption Zone (GCZ) industry project.

16:30  An image is worth a thousand words
- Jesse Lord, Lead – Product Strategy, Kadme AS

Addressing the unstructured documents challenge by using machine learning to extract, classify and geolocate images at industrial scale.

WS Program Wednesday

08:30  Driving data quality improvement through Section 34 infrastructure reporting
- Bee Smith, Senior Geospatial Manager

  Zahir Ibrahim, Senior Business Intelligence Manager, North Sea Transition Authority

A new process of submitting data in spatial formats with a validation tool that checks data quality before accepting submissions. - An agile approach to building the new reporting method and share plans for future improvements. - Explore lessons learned during the first two cycles of the reporting process and the benefits this has brought about.

09:30  Inspection Data Format 1.0 for Sensor Carriers
- Adrian Coelho, Prinicpal Analyst-GIS, Equinor ASA

The sensor carrier industry as well as the consumers of this data need this standardization to ensure smooth and quick data deliveries. This aids in planning simultaneous operations, live visualization and analysis of the data.

10:30  Real Estate Data Integrated - 100 years of Contracts, GIS, Accounts in one DB
- Mariia Vetoshkina, Junior Data and Information Management Specialist (SPEAD), Wintershall Dea Deutschland GmbH, (Co-author S. Schiffer, Fugro Germany Land)

Wintershall Dea Germany GmbH and Fugro Germany Land GmbH will present a joint project to simplify, standardise and automate its land lease contract management.

WS Room C - New Ways of Working (1st. Floor)

- Session Manager: Daniel Brown, Offshore Energies UK

WS Program Tuesday

12:30  DataOps - Intro to DataOps and Case Study for Reservoir Characterisation
- Bruce Chalmers Reservoir Geophysicist - Var Energi & Andreas Sandvik Jakobsen, DataOps Engineer, Sopra Steria
DataOps Introduction and Case Study: Improved data quality analysis for Reservoir Characterisation workflows

13:30  Data to the Many?
- Nina Reiersgaard, Project leader Data to the Many, Equinor
Implementing data products and data mesh architecture with a federated data governance in Equinor - Omnia 2.0, Cloud based data platform and cloud scale analytics in Azure.

14:30  Automating Data Management Workflows: A Success Story of National Oil Kenya in a Digital National Data Centre Implementation
- Ayan Omar, GIS Data Analyst, National Oil Corporation of Kenya
Workflow automation with basic machine learning and artificial intelligence techniques and models.

15:30  Neptune Subsurface Digital Data Factory
- Haroon Rashid, Senior Subsurface Data Management Advisor, Neptune Energy

  Jesse Lord, Product Strategy Lead, Kadme

Insights, Implementations & Lessons Learned from Digital Data Management.

16:30  So, you’ve got a UX designer on your team?
- Lene Regine Sørskår, Trond Roar Eide, UX designer, Okse/These Ways

Presentation about UX design and design thinking, and how to use it.

WS Program Wednesday

08:30  Increasing the value of partner Daily Production Reports  through automation and standardization
- Benjamin Désiage, Data Analyst  /  Lars Rune Netland, RPA Engineer, Equinor
How to synchronize, automatize and monitor the daily production data received from partners. From many unstructured reports to an organized database.

09:30  Scaling From A Digital COE To A Digitally Transformed Oil And Gas Company

- Jane McConnell, Practice Partner Oil and Gas, Teradata

Most oil companies now have a centralised Digital team which is demonstrating the business value that analytics can bring.  Now comes a different challenge – how to scale this new way of working through the whole company, and how to measure your progress.

10:30  Dynamic Digital Twin

- Endre Nisja, IM Lead, AS Norske Shell

How local innovation in Norway is now providing business value globally in Shell.

WS Room D - OSDU & Platform (1st. Floor)

Session Manager: Pierrick Gaudin, TotalEnergies

WS Program Tuesday

12:30 OSDU as an intermediary for digitally driven collaboration and innovation in the oil and gas industry
- Mahdis Moradi, PhD candidate, Norwegian University of Science and Technology (NTNU)

To explore more on the innovation potential could be driven from the OSDU, the case study of an oil operator on driving performance in drilling through OSDU will be presented.  The results from this study, emphasize on the important role of people, and the significance of inter and intra-organizational collaboration in the successful adoption of new digital solution in organizations.

13:30  Equinor OSDU Adaptation Experience

- Einar Landre, OSDU Focal point, Jan Harald Hole Mortensen, OSDU Task Manager, Equinor

OSDU enables new ways to manage subsurface data. In this presentation we will take you through how Equinor use OSDU and plan to extend its usage for subsurface data.

14:30  Analytics-ready Data From The OSDU Data Platform To Accelerate Subsurface Analytics

- Jane McConnell, Practice Partner Oil and Gas, Teradata

Most geoscientists and petroleum engineers believe analytics can find new insights into the subsurface; however, efforts are hampered by the complexities of unwieldy data that requires much effort to manipulate before they can begin their analysis.  This potential for insight from analytics is a strong driver for implementing a modern integrated subsurface data platform such as the one from OSDU. We will discuss how to leverage the OSDU data platform to support subsurface analytics.

15:30  Opening OSDU to Wind-Farms – a first move to the ‘Green Energies’

- Espen Krogh, CEO, Prediktor

16:30  Keys to OSDU Onboarding and Adoption: Role of Data Governance and Artificial Intelligence

- Sunil Garg, CEO, dataVediK

Based on lessons learnt from our experience in past data migrations, data governance will be the key to success of OSDU based deployments. This presentation will focus on the various aspects of data governance best practices in the context of OSDU including Master and Reference Data Management, DQM, Data Lineage and enrichment, Golden records creation and so on. It will also highlight the role that Data Analytics and AI will play in data ingestion as well as data consumption workflows and in exponentially improving the value/knowledge that can be derived out of data.

WS Program Wednesday

08:30  Bridges to Cloud – for E&P Information Management and improving GGRE workflows

- James Patton, Global Data Platforms Manager, Amazon Web Services (AWS)

E&P Information management and geoscience workflows require new technical capabilities to move on-premise to cloud. We will share approaches to Big Data migration, fast cloud file-systems and how OSDU enables improved workflows and hybrid HPC environments.

09:30  Do not make the Cloud a landfill for your subsurface data

- Paul Gibb, Business Development Manager, Petrosys

Cloud storage offers huge benefits, but there are pitfalls to be avoided. It is important to build appropriate policies to effectively manage subsurface data, particularly following mergers or after years of unregulated expansion.

10:30  Integrating OSDU into a Company E&P Environment – A Pragmatic Approach

- Pom Sabharwal, Region Technical Sales Manager, Halliburton-Landmark

WS Room E - Regulatory & Collaborations / Digital Well Planning (1st. Floor)

Session Manager: Elin Aabø, NPD

WS Program Tuesday

12:30  Data management strategy to realize value potential of data
- Petter Dischington, Geoscientist, Norwegian Petroleum Directorate

The NPD wants to enable value creation from data by facilitating data for new industries and innovation. Standardization, data quality and collaboration are keys to make this a reality

13:30  AVATARA-p: Advanced Augmented Analysis Robot for Palynology
- Robert W. Williams, Biostratigrapher, Norwegian Petroleum Directorate

By using technology developed for digitising tissue sections for pathological diagnosis, the Norwegian Petroleum is scanning 150 000 fossil microplankton slides at 4000 pixels/mm resolution for online palynological analysis.

14:30  Digitalisation / Digitalization and Seismic Data
- Victor Ancira, Vice President, Troika International Ltd

Exactly what is meant by Digitalisation and have we got there with Seismic Data?

15:30  Diskos 2.0 – a digital step together 
- Maria Juul, Diskos manager, NPD

Diskos 2.0 will be launched in January 2023. This presentation will give an introduction to the new solution.

16:30  Modernizing NDR’s through Cloud, Digitalization & Data Augmentation using an Open Architecture Platform
- Pom Sabharwal, Region Technical Sales Manager, Halliburton - Landmark

Create NDR value by using ML based applications to accelerate subsurface and engineering workflows  including 3rd party applications in a cloud native open flexible platform.

WS Program Wednesday

09:30 Implementing a Subsurface Warehouse – Why, How and Lessons Learned
- Henning Lillejord, IT Sr. Analyst, ConocoPhillips Norway (Co-authors: A.S. Hatløy, M. Tveit)

This presentation will focus on why and how we built this warehouse and lessons learnt with respect to adoption of new work processes and tools.

10:30  Data Management practices and tools for Collaborative Well Planning
- Robert Maclean, Data Management Engineer, Three60Energy on behalf of AkerBP

Collaborative Well Planning (CWP) is now part of the AkerBP core business practice, whereby all asset related well planning must undergo CWP sessions. To enable this has incorporated disciplines such as drilling engineers, geoscientists, data managers and software developers. The proven benefits has reduced company costs in time and money significantly, allowing for quicker decisions and faster well planning collaboration.

WS Room B - Schlumberger (1st. Floor)

Session Manager: Odd Inge Thorkildsen, Schlumberger

WS Program Tuesday

12:30  Data Science and Machine learning models for E&P data
- Sachin Kriplani, Reservoir Geophysicist, Schlumberger Denmark ApS
Preparing E&P data for Machine learning exercises and choosing appropriate ML model for better predictions.

13:30  Data science and AI in the training business of Schlumberger NExT – domain inspired trainings in data science and OSDU/DELFI training
- Fabrizio Di Marco, NExT Curicullum associate digital - Alessandro Madrussa, NExT BDM  - Toni Liman, NExT Scandinavia, Schlumberger
An overview of the trainings NExT is offering worldwide to our clients related to Data science, AI, OSDU and DELFI training. New courses and established IM courses.

14:30  Schlumberger Drives Real-Time Business Insights Using Master & Reference Data
- Anup Tiwari, Enterprise MDM Manager / Lokesh Shah, Enterprise Data Quality Product Manager, Schlumberger
There is an ever-increasing business demand for real-time, high-quality information. Schlumberger uses low-code/no-code approach, combined with the power of HA Cloud architecture delivered via a modern user experience, to create an enterprise-wide view of master and reference data. Join this session to understand how Schlumberger drive better supply management strategies, analyze leased asset operations, and calculate emissions related to purchased products and services.

15:30  From on-prem to DELFI PTS: Data Transition story
- Odd Inge Thorkildsen, Service Lead – Data & Cloud, Moumita Chakraborty, Deepali Gupta, Schlumberger
This presentation will detail the workflow for migrating Seismic data and Petrel projects to DELFI PTS for any customer by using qFind Petrel plug-in.

16:30  Seismic Data Management with ODSU
- Fargana Exton, Product Manager, Schlumberger
The Digital Transformation of Upsteam Data Management enables a new class of cloud-enabled workflows. Seismic Data Management in the cloud will be the key enabler for modern seismic processing and interpretation workflows using seismic data streaming.

WS Program Wednesday

08:30  NDC – Fit-for-purpose
- Deepti Nigudkar, Information Management Principal, Schlumberger
To make the optimal use of the rich datasets, it is necessary to have good workflows that suit every region. A demonstration of such user-friendly workflows with different data types and some use cases will be presented.

09:30  Simulation of Carbon Capture and Sequestration – Software training opportunities
- Henry Garcia, (Senior) Reservoir Engineer, Schlumberger
The newly created training material for CCS simulations with ECLIPSE and INTERSECT became an immediate success in Scandinavia with multiple courses given, and a high number of participants in only the first 6 months.

10:30  Automated log data conditioning workflow pragmatically converts raw un-edited data to corporate standard data
- Bin Gao, Data Solution Consultant / Team Lead, Schlumberger Digital & Integration
Practical Log Data Conditioning workflow empowered by Machine Learning, engineered to run 24/7 seamlessly between the user and the cloud storage. The workflow transforms raw data from the oilfield and public archive to standardized high quality logs for Petrophysical team in the O&G industry.

WS Room H - Halliburton-Landmark (2nd. Floor)

- Session Manager: Brit Berg, Halliburton-Landmark

WS Program Tuesday

12:30  Information Management & Platform Technology – Strategy & Update
- Chandra Yeleshwarapu, Senior Director, Head of Product and Customer Experience, Halliburton - Landmark
An overview on Landmark’s Information Management strategy, an update of our key products & give a glimpse of capabilities to look forward to in 2023.

13:30  CoreMemory® Platform: Digital ecosystem for subsurface sample and data management
- Caroline Mignot, Ingrain Solution Advisor & Business Development for Europe, Eurasia and Sub-Saharan Africa
The CoreMemory® Platform is a web-based digital ecosystem to manage and visualize unstructured data, optimizing subsurface cycle time and data sharing, while avoiding data loss. Is customizable to fit your own workflows. A solution to solve each data management challenge by demand.

14:30  DS365.ai: Accelerate Energy industry operations through faster and scalable Ai
- Chafaa Badis, Lead Data Scientist, Halliburton - Landmark
The oil and gas industry produces a massive amount of data; however, most companies have struggled to transform this data into actual business insights. This session will showcase DS365.ai , a Halliburton Landmark enterprise AI cloud-native platform that provides our customers production-ready ML models and an enterprise capability and scale to create, manage and deploy innovative ML (Machine Learning) solutions integrated with existing workflows in a corporate environment.

15:30  Making the journey to OSDU
- David Butcher, Senior Manager Business Development, Halliburton-Landmark

The OSDU Data Platform aims to stimulates innovation, industrialize data management, and reduce time to market for new solutions.
While in an ideal world this change occurred overnight, in reality there will be a transition from the current paradigm of a fragmented data landscape towards the elimination of these silos and the enablement of more integrated, transformation workflows. So how will this transition take place and how do companies make that Journey?
We will discuss the different requirements in providing a system of record vs a system of engagement and potential approaches for application integration; both the creation of new cloud native applications and a pragmatic evolution of existing, legacy applications.

WS Program Wednesday

09:30  Natural Language Processing and Machine learning for Automated unstructured data management & Cases studies
- Chafaa Badis, Lead Data Scientist, Halliburton-Landmark

Unlike structured data, unstructured data is information that either does not have predefined labels or is not organized in a predefined template. Every five working days in the industry are devoted to researching unstructured data.
This session will showcase an NLP-based machine learning solution to automatically convert unstructured data into valuable insights demonstrated with practical case studies.

 

10:30  Leveraging Cloud Scalability and flexibility to support Energy Workflows at a lower TCO
- Welton Souza, Industry Solution Advisor, Halliburton-Landmark

The transition to the cloud and data liberation enables digital transformation and opportunities across organizations in the energy industry. However, poor planning and management of cloud can have a big impact with high costs and low service levels which can slow down the transition to cloud or and delay digital transformation initiatives. In this session we will highlight how Halliburton-Landmark is collaborating with our customers to enable a simplified transition to cloud and OSDU enabling those customers to take advantage of their digital transformation initiatives sooner at a lower TCO.

WS Room I - International DM Forum (2nd. Floor)

WS Program Tuesday

12:30  A review of Petroleum Data Management from an African Upstream Regulator’s Perspective
- Kwadwo Kyeremateng, Petroleum Commission of Ghana
The case of Petroleum Commission Ghana

13:30  The story of NDR in Norway
- Maria Juul, Norwegian Petroleum Directorate
How can other countries benefit from our experience?

14:30  Database Design to support appropriate well Nomenclature
- David Mulinde, Petroleum Authority of Uganda
Challenges with old naming Convention and the Road to a shorter and meaningful Name

15:30  Data management in a Country with falling Production
- Osama Abdelgadir, Petroleum Data Senter, Sudan
Status and Challenges

16:30  Petroleum development progress in Zanzibar
- Issa Issa, Zanzibar Petroleum Regulatory Authority
Starting from Scratch with Management of Petroleum Data - Challenges

WS Program Wednesday

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