2023
E&P Data and IM Conference and User Meeting 2023

 

ECIM 2023 - 18th. to 20th. September in Haugesund

’Disruption is our new normal – how does it affect us?’

Work Stream Program Tuesday and Wednesday

The Work Stream program 2023 includes more than 70 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 the last 15 minutes is a break for mingling and preparing for next presentation.

Work Stream - OSDU

Session Manager: Pierrick.Gaudin, TotalEnergies and Lars Gåseby, Shell

WS Program Tuesday

12:30  How Equinor is putting OSDU to work and our learnings getting there
- Jan Harald Mortensen, Equinor and OSDU team members as fit
The Equinor OSDU DevOps Team has for several years been a keypart of Equinor ́s OSDU journey. In this session this team will, based on hands-on experiences, share status, future plans as well as good and bad learnings picked up in their journey so far.

13:30  Optimizing Geospatial for OSDU
- Thomas Gehrmann, Software System Integration Architect, SLB
From the initial OSDU donation to the Geospatial Consumption Zone (GCZ). How the integration of GeoJSON format as the standard –for the whole GIS information embedded within any entity  –enabled OSDU to provide optimized Geospatial related consumption use cases.

14:30  A Reservoir Characterization workflow utilizing the OSDU data platform
- Rob Bond,Director, Product Management, AspenTech

A case study in which a OSDU Data Platform instance deployed in the cloud has been utilized to develop a detailed, seismic-driven characterization of a subsurface reservoir in a commercial software application.

15:30  Shell's Journey with OSDU
- Lars Gåseby, Manager Subsurface Data Design and Innovation, Shell
Describes the Shell OSDU strategy, what we are focusing on and learnings so far.

16:30  Enhancing Efficiency: Automating OSDU-Compliant Data Quality and Technical Assurance
- Raghd Gadrbouh, Lead Architect - OSDU, CGG
Mexico Core Analysis Use Case.

WS Program Wednesday

08:30  Reusable Data for Renewable Energy
- Michael van der Haven, Vice President Consulting Expert Oil & Gas and Renewable Energy, CGI
Enriching OSDU as a knowledge layer in a data-mesh by utilising techniques and technologies like Semantic Web, OSDU and Large Language solutions like OpenAI and ChatGPT.

09:30  The Mindset of OSDU
- Frode Odinsen, Microsoft Global Black Belt Energy, Microsoft Cloud for Industry
This talk will focus on the Various concepts and scenarios that we see across the OSDU
community, some learnings, what we consider to be good practices and the Change Management needed to get the Mindset of OSDU.

10:30  How OSDU bring interoperability accross businesses within Well Delivery Process
- Pierrick Gaudin, Data Architect, TotalEnergies
How we used OSDU -to support interoperability between businesses (internal and with partners) and related applications (in house -and on the shelf) to support Well Delivery Process within our "Flag Ship Asset" Tilenga.

Work Stream - Data Engineering

Session Manager: Matheus Abrahão Francisco, Shell

WS Program Tuesday

12:30  Modernizing Data Management Among Petroleum Arrangement Contractors
- Ahmad Firdaus bin Ahmad Zubir, Executive, PETRONAS
Automated Workflow to Accelerate Data Enablement for Drilling and Completion Performance Benchmarking.

13:30  How much of what we do is lost in translation?
- Paul Gibb, Petrosys
Just as a document may need to be translated from one language to another to be understood by a different audience, data needs to be translated or transformed from one format to another to be properly used in a different system.

14:30  AI-Driven Conversion of Unstructured Data at Scale for Streamlining Well Plug and Abandonment Processes
- Chafaa Badis, Lead Data Scientist, Halliburton Landmark
Introducing an automated workflow utilizing NLP, computer vision, and machine learning to streamline the well plug and abandonment process. It extracts data from paper-based documents, populating an engineering database and generating detailed reports and well-schematics, enabling saving time, reducing costs, minimizing errors, and enhancing safety and operational efficiency in plug and abandonment activities.

15:30 Automated transformation of raw data to tailored insights evolves with ongoing business changes
- Bin Gao, Service Deliver Lead for Digital Subsurface Data, SLB
The automated analytics data-ready workflow systematically gathers raw data and processes it through cleaning, transformation, and validation procedures to convert it into a ready format tailored to the specific type of analysis being conducted.

16:30  Analytics ready data from 'Well Log Extraction'
- Rudolf Maurer, Data Manager Geologist, Equinor
Data pipeline to mass process data into a consistent and standardized dataset.

WS Program Wednesday

09:30  Ushering novel business models through digital collaboration: Seismic data Management as a Service
- Dr Abul Fahimuddin, Cognite AS & Espen Grimstad, PGS
PGS commercializes seismic data service "MultiClient OnDemand", offering real-time access to entitled seismic data through Cognite's API and software components.

10:30  Connecting Data Across Legacy Domains with Domain Ontologies and Visualization Tools
- Ana Ferreira, System Analyst, Petrobras
Overcoming Challenges and Enabling Better Data Management in the Oil and Gas Industry.

Work Stream - Data Architecture

Session Managers: Jane McConnell and Lisa Blackley

WS Program Tuesday

12:30  Implementing Data Mesh
- John Spens, Head of Data and AI for NA & Charith Tangirala, Principal Consultant, Thoughtworks
Lesson from the fierld and analysis of real case studies.

13:30  State of Data Mesh in Equinor
- Jørn Ølmheim, Leading Advisor Data Architecture, Equinor
What we have achieved and the challenges that remain.

14:30  Accelerating PETRONAS Upstream Data Modernization: Powering Production Field Lifecycle Data Digitalization through Efficient Data Management
- Hew Zhong Ying, Executive (Field Development Data Operation), PETRONAS
Powering Production Field Lifecycle Data Digitalization through Efficient Data Management.

15:30  How Geospatial Data Products enable the modern Energy Enterprise
- Brian Boulmay, Director, Petroleum Community & Solutions, ESRI
Is Geospatial a data format, a data type, a data use case, or a data platform?  We will discuss Geospatial data and consider several ideas and best practices for collecting, managing and publishing these data products for use throughout your organization.

16:30  Enhance Efficiency In E&P DataOps with OSDU
- Akkaiah Prathipati, Principal Advisor, Landmark Sales & Services, Halliburton
The E&P industry heavily relies on accurate and reliable data for effective decision-making. The complexity and volume of data generated by different tools used in exploration, drilling, production, and reservoir management pose significant challenges in enterprise data operations. How OSDU helps in improving efficiency in enterprise data operations.

WS Program Wednesday

09:30  Unlocking the Silos
- Craig Jones, Director EDM (Energy), S&P Global
Data centric workflow automation which ultimately exposes the core principals of data management.

10:30  Leverage new data ecosystems, accelerate operational performance & lower-carbon pathways
- Patrick (Paddy) Dineen, Data Business Owner USLand, SLB/Data & Integration
Digital is set to make a material impact in our industry by reducing cycle times and risk, accelerating returns, increasing productivity, while also lowering costs and carbon.

Work Stream - Data Governance

Session Manager: Adrian Sylvester Coelho, Equinor

WS Program Tuesday

12:30  Experiences of using a Data Catalog to Document Digital Solutions at TotalEnergies
- Alan Pointing, Lead Data Management (Digital Factory), TotalEnergies
Case study of using a data catalog -its successes, challenges and opportunities for the future, as data catalogs move from being “static” to more “active” information stores.

14:30  Data Rules!
- Lisa Blackley, Senior Data Technical specialist, AkerBP
The follow on story to last years 'Data Governance – a long time coming!' presentation.

15:30  Data Product Design and Engineering
- Annie Schnitzer, Analyst technology management, co-presenter Sondre Løcka, Equinor
Methodologies and Case Study for Building Data Products.

16:30  Techniques for Effective Data Consolidation after Merger
- Adrian Miluk, Functional team leader Seismic DM, AkerBP
This paper highlights the lessons learnt during the data consolidation and feedback from the end users post the merge between AkerBP and Lundin E&P. Merging data after a merger can be a complex and challenging process, but it is essential for maximizing business value and quality.

WS Program Wednesday

08:30  Data Governance Oversight through Upstream Data Control Tower
- Normanisah Bt Mat Ghani, Senior Executive -Data Security and Capability, Petronas
Fortifying PETRONAS Upstream Data Governance through Upstream Data Control Tower Implementation in OSDU.

09:30  Equinor’s Subsurface Data Office
- Suzanne E. Beglinger, Leader Subsurface Data Office, Equinor
Creating a trusted data foundation that enables a safe, collaborative and digitally enabled subsurface organization.

10:30  Enhancing Upstream Data Security through 4-A Assurance
- Normanisah Bt Mat Ghani, Senior Executive - Data Security and Capability, PETRONAS
Fortifying PETRONAS Upstream Data Governance through Upstream Data Security  4-A (Access, Authorization, Authentication and Audit) Assurance Approach to Ensure Upstream Data is in a Safe and Secured Environment.

Work Stream - Data Sciences & Advances

Session Manager: Kristoffer Smørås Brakstad, AkerBP

WS Program Tuesday

12:30  Generative AI (GenAI) and Large Language Models (LLM) potential to change Data and Information Management
- Ferris Argyle, Cloud Customer Engineer Infrastructure and OSDU, Google
Learn how GenAI and LLMs can help E&P operators organize their information and make it appropriately accessible and useful; about limitations for science and mathematical use cases; and how these advances will change data and information specialist roles.

13:30  The Future of Data Analytics: Adapting to the Shifting Technology Landscape
- Marthe Moengen, Managing Data Analyst, Sopra Steria
In May, Microsoft unleashed a game-changing force upon the analytics world by introducing Microsoft Fabric. Why is Microsoft Fabric described as a paradigm shift? And what should organizations do when such revolutionary changes in technology are presented? Let's discuss strategies for navigating this new era of ever-evolving analytical solutions. When should we jump on the hype? And how can we streamline adoption, maximize benefits, and make the journey smoother for your organization in the face of new technology?

14:30  Reinventing geoscience with data and AI
- Einar Landre, Lead analyst IT, Equinor
From generative AI (ChatGPT) to causal reasoning from data.

15:30  Building Trust with ChatGPT: Navigating Conversations in Exploration Documents & Wikis
- Jesse Lord, Product Strategist, Kadme AS
Large Language Models can be effectively combined with private document repositories and wikis, but they're not a silver bullet. Learn about the strengths and weaknesses of this technology when applied to subsurface reports.

16:30  Creating a foundation for AI capabilities using a knowledge driven approach and taxonomies
- Dave Camden, Director, Flare & Duncan Irving, Manager Energy Systems, Equinor
This presentation will look at a PoC carried out by Equinor with Flare Solutions to see how a knowledge driven approach can assist in the deployment of AI projects. It will explainwhat a knowledge driven approach is and how you can leverage it in your organisation.

WS Program Wednesday

08:30  SEG-Y_r2.1 Exchange Data Format –Knowledge, Capture, Auto-Read
- Jill Lewis, CEO, Troika International Ltd
Troika International carried out a review for the NPD to assess readiness of the Norwegian operators and contractors to submit data in SEG-Y_r2.  There is a reluctance to comply with the current recommendations so the NPD may mandate SEG-Y_r2.  The SEG has ratified a new SEG-Y_r2.1 to enable the capture of key trace header entries ready for ML and AI, how does this format work?

09:30  AI and large language models as assistants for data managers
- Thomas Grant, senior software engineer, Cegal AS
New advances in AI and the release of large language models present an opportunity to create AI based assistants for data managers. We explore several use cases and their benefits to data managers.

10:30  The use of transformer to extract information and knowledge from documents
- Henri Blondelle, CEO, Agile Data Decisions
How the technology developed by Google and OpenAI can create value from your documents asset.

Work Stream - Culture & People

Session Manager: Dan Brown, Offshore Energies UK

WS Program Tuesday

12:30  A guide on how to be disruptive in your work
- Lene Regine Sørskår, UX Designer, Boitano
Insight on how to be disruptive in for work by using Design thinking.

13:30  Modernizing processes and tools through storytelling
- Lynn Galston, Enterprise Data Management Task Lead, Equinor
When working with legacy tools and solutions with lots of history, experience and opinions, it can be a challenge to manage stakeholder expectations and move forward. In this session, I will share how we have utilized storytelling to set a vision and unite teams to work toward a modern end-to-end solution to serve up our data products from compliance to data access.

14:30  The Geoscientist, the Multinational, the OSDU, and AI/ML
- Onoze Isimbabi, Senior Business Analyst, Shell
Can a geoscientist in a multinational energy company have access to boundaryless information? and would the information be useful?

15:30  Data Management Professionals
- Herbart Kibuuka, Data Management Officer, Geophysics, Petroleum Authority of Uganda
Analysis of the evolving competence requirements for the subsurface data management function.

16:30  Managing Disruption and Embracing Digital Through Thriving in Change
- Yiteng Zhang, Digital Technology Lead, A/S Norske Shell
A Change Journey in Norske Shell.

WS Program Wednesday

08:30  Collabor8 -Digital industry collaboration facilitated by Offshore Norge
- Øystein Arvid Håland, Manager /VP operations and maintenance, Offshore Norge
In close collaboration with the industry and respective authorities, we develope common solutions for digitalization of authority reporting, data sharing in assets, standard equipment documentation and spare parts optimization including 3D printing. We will share our view on how digital collaboration benefit the industry.

09:30  Data driven well planning... Are we there yet?
- Robert Maclean, Data Specialist, AkerBP
An operational overview of well planning data management, how far we've come and where we're headed.

10:30  Wearing a Data Culture hat in the event of promoting a "Data cultured organization”
- Anastasiia Kuzmina, IT Analyst, Equinor ASA
In this interactive presentation, Anastasiia will share some of her teams’ experiences and challenges in their work on facilitating a data culture.

Work Stream SLB Room

Session Manager: Odd Inge Thorkildsen, SLB

WS Program Tuesday

12:30  Automated Wellbore Interpretation leveraging OSDU  Data Platform - Customer Experience
- Tanya Kontsedal, Senior Petrophysicist, Aker BP

- Subhankar Choudhury, Subsurface Data Practitionner, Scandinavia SLB
Data Liberation from Petrotechnical Applications runing on SLB Delfi Digital Platform allows quick access and visualization of data. The introduction of the OSDU Data Platform has facilitated democratization of new native and cloud based applications. An example of an AI-based QC and Interpretation of Wellbore data workflow will be demonstrated.

13:30  Revolutionizing open subsurface data management with off-the-shelve solutions
- Arsene Akono, Data Business Development Manager, SLB
  Aizo Wiebenga, Industry Advisor Energy, Microsoft

Microsoft Azure Data Manager for Energy (ADME) is now Generally Available. The First Energy industry joint offering to deliver enterprise-grade data platform for Subsurface that brings together the capabilities of the OSDU Data Platform, Microsoft's secure and trusted Azure cloud platform, and SLB's extensive domain expertise. The SLB Enterprise Data Solution additional value on ADME unlocking ingestion, curation, discovery and consumption of subsurface data into domain applications.

14:30  Terra Nova, Wintershall Dea’s taste of the OSDU and experiences so far
- Tobias Beiche, Data Manager, Norway, 

   Mamadou Guessere Gaye, Data Manager, Wintershall Dea
The Wintershall Dea OSDU Journey, experience and lesson learn so far in few minutes.

15:30  Ensuring Trustworthy Data in OSDU through Robust Governance - A practical Customer Experience
- Sugiarto Hartono, Principal Data Lead, Asia, SLB
How to avoid and plan a proper Data Governance in OSDU when multiple sources are migrated.

16:30  Insights from Unstructured E&P Data through Artificial Intelligence: From Days to Minutes!
- Fargana Exton, Data Product Owner, SLB
  Sachin Kriplani, AI Technical Lead Scandinavia, SLB

In the E&P industry, unstructured data i.e. Completion reports, Daily drilling reports, Daily geological reports, seismic processing and acquisition reports to name some, contain enormous information. To analyze, extract meaningful insights and enhance future decision making, these reports need to be digitized i.e. converted to structured data. This session would cover two important tools using a combination of latest techniques to extract valuable information and insights from the unstructured data.

WS Program Wednesday

08:30  The Cloud-based NDR of the future - as a Service
- Sugiarto Hartono, Principal Data Lead, Asia, SLB
Onprem or Cloud NDR is usually a dilemma for National Authorities. In todays digital opportunities, leveraging the power of cloud and digital enablers, the deployment and operational efficiency of NDR will be fast forwarded.

09:30  Training as a Catalyst: Empowering Companies with AI through Ai Academy
- Alessandro Madrussa, NEXT Business Development Manager, SLB
  Toni Liman, Digital Business System Manager, Scandinavia, SLB

Discover how Ai Academy's cutting-edge programs and resources revolutionize the Energy Industry, equipping them with the tools and knowledge to harness the power of AI for transformative success. Don't miss this opportunity to explore the future of AI-driven innovation.

10:30  DataOps, Generative AI, Contextualisation - your industrial and operational data as never used before
- Per Arild Andresen, VP Energy Solutions, Cognite
Cognite AI, Generative AI, Digital Twin, industrial Data Ops, Asset Performance Management, etc. This is what Cognite Data Fusion deliver. Simple access to complex industrial data to improve operational performance, reduce costs, and unlock opportunities in real-time.

WS Room - Halliburton-Landmark

Session Manager: Brit Berg, Halliburton-Landmark

WS Program Tuesday

12:30  Digital Transformation - Successes and Trends

- Chandra Yeleshwarapu, Senior Director and head of products and business development at Halliburton Landmark

13:30  DISKOS 2.0 National Digital Resource - Modern Technology Delivering Advanced Collaboration Cost Effectively for Norwegian Oil and Gas Industry

- John Norman, Industry Solutions Advisor

Insights from the Diskos 2.0 National Digital Resource. The journey in establishing the first National Digital Resource in the cloud, operational status and the insights into the NDR of the future.

14:30  NDR VDRs As a Tool for E&P Workflow Integration

- Chidozie Agu (Ben), Data Scientist
Virtual Data Rooms (VDRs) on a NDR provides an environment where multiple applications can be hosted and multiple workflows done simultaneously and multiple users can work on the same project, hence eliminating industrial silos and enhancing collaboration. This also enables scaled machine learning and data analysis do be done hence providing better insights. DSG on a VDR shows how multiple assets can be integrated into one project for oversight functions and how machine learning models monitor the whole assets.

15:30  A Digital Emissions Management Solution for the Oil and Gas Industry

- Ligia Diaz de Bracho, Production Technical Sales

Improving awareness and ownership of sustainability impacts, among them GHG emissions, is one of the main aims of the global sustainability team within Halliburton. To achieve this and in order to assist each of the business units within Halliburton and also those of Halliburton's customers, Halliburton has developed a new software solution Envana™ to drive efficiencies in GHG emissions monitoring, data analysis, and reporting. We will review how Envana™ enables the dissemination of emissions information uniformly, centrally govern emissions calculation methodology, and ensure that all business lines are reporting emissions reliably and consistently, providing a solution to the challenges faced in the growing culture of ESG.

 

16:30  AI-Driven Conversion of Unstructured Data at Scale for Streamlining Well Plug and Abandonment Processes
- Chafaa Badis, Lead Data Scientist
Introducing an advanced automated workflow that leverages NLP, computer vision, and machine learning to streamline the well plug and abandonment process. This cutting-edge workflow effectively extracts essential information from paper-based and scanned documents, transforming it into a structured engineering database, and generating comprehensive reports and well-schematics. By implementing this workflow, significant time and cost savings can be achieved, while minimizing errors and enhancing safety and operational efficiency in plug and abandonment activities.

WS Program Wednesday

09:30  Unlocking the Potential of Dark Data in Oil and Gas Industry: AI-Driven Approach to Transform Unstructured Data into Actionable Insights
- Chafaa Badis, Lead Data Scientist
An AI-powered workflow to maximize the value of unstructured data in the Oil and Gas industry by converting it into valuable insights. our approach harnesses the power of NLP, machine learning, and computer vision to automate the classification, extraction, and analysis of unstructured data in the Oil and Gas Industry. The seamless integration of structured and unstructured data, along with user-friendly text and map-based search functionalities, empowers users to uncover valuable insights, make informed decisions, and maximize the value of data, regardless of its structure or origin.

10:30  An Added Value of an Open Data Platform: Connecting to Third Party Applications
-  Didac Gese Jarque
New digital journeys should easily integrate with already well-proven technology, adding value to open digital platforms that account for some Application Programming Interfaces (APIs). Here we show an example of connecting to a third-party application by exporting results, exchanging tokens and validating users. This enables new workflows, without having to focus on developing technology that already exists or having to duplicate data, thereby maximizing technology investments.

Work Stream - Int DM Forum

Session Manager: Gunnar Sjøgren, NPD

WS Program Tuesday

12:30  Analysing the IT Trajectory of Petroleum Commission, Ghana

- Edem Mawuko, Manager IT, Petroleum Commission

A journey of 8 years of development; what has been achieved and the way forward.
How can other countries benefit from PCG’s experience.

13:30  Status of Petroleum Development in Zanzibar

- Asya Masoud, Data Specialist, ZPRA

Data Management challenges at the starting point of petroleum development.
Status and the way forward.

14:30  Data availability and usability in Uganda: From Exploration to Production

-  Susan Byona, Senior Geophysicist, MEMD
The importance of data availability and usability in Uganda’s Oil and Gas Journey from Exploration to Development.

15:30  Energy Data Democratization in a Dynamic Environment

- Jehoshaphat Kioko and Ayan Omar, National Oil Corporation, Kenya

Ensuring data is made available to Users with little or no restrictions. This requires a clearly defined Data Governance guidelines, having the necessary tools (applications) and a change in the ”way of doing things” (culture).

16:30  Petroleum Development in Somalia

- Mahmud Hassan Mohammed, Director of Exploration and Production department, MPMR
Data Management challenges when access to data is limited. Status and Way forward.

WS Program Wednesday

08:30  Enabling Data Visualization and Management through better Meta data Management

 - Kwadwo Kyeremateng, Manager Data Management, Petroleum Commission, Ghana
Metadata is the backbone in enabling organisations extract valuable insight and make informed decisions from its data assets. Steps towards enhanced data integration, data quality assurance, data discoverability, analytics and machine learning, and collaboration and knowledge sharing are discussed.

09:30  Looking for a new data Management Solution
- Paulo de Tarso Silva Antunes, Superintendant Technical Data, ANP, Brazil
ANP- NEDP is looking for a new tool to manage the geophysical and well data in its database and also to quality control this data.

10:30  Database design to ensure efficient tracking of production data from field

- David Mulinde and Mark Ewin Baguma, Petroleum Authority of Uganda
Uganda is preparing for a whole new structure before production starts.

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