Work Stream 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.

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.

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.

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.

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  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.

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.

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.

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.

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.

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.

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.

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  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.

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.

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.

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.

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

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

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.

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.

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.