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SPDM Online Conference - November 2021

Introduction and overview

The Society for Petroleum Data Managers is delighted to announce its 2021 Online 'Conference', from 22nd to 26th November, fully online. Free to members, the Conference Programme includes speakers from Equinor, Schlumberger, Shell, Cognite, and CGI, amongst many others.

Conference sessions are scheduled at 11am and 3pm UK time each day, to be accessible to as many Society members as possible worldwide. Recordings will be available to registered participants for later viewing where permitted.

Direct links:
Programme details
Abstracts of the presentations
Presenters Bio
Registration page

For any questions please send an email to events@societypdm.org



Registration Information

To register for SPDM Online 2021, visit https://www.ecim.no/spdmonline2021.

Registration and attendance at SPDM Online 2021 is available only to members of the Society. You can join online for just €40 (good until December 2022) at: https://societypdm.com/membership/reg2021



Program Details

------------------------ Monday November 22nd. (UK time) ------------------------

11:00 Becoming a New Energy Data Professional – What are your transferable skills?
- Jess Kozman, Senior Principal Consultant, Katalyst DM
Some obvious and some surprising areas where data professionals from other capital and data intensive and highly regulated industries can contribute to the new energy transition.

11:30 A discussion on the role of the SPDM in the new energy era
- Led by members of the Board of the SPDM

15:00 The Impact of Digitalisation on Data Professionals
- Fionnuala Cousins & Prof. Simon Burnett, Lecturer & Professor, Robert Gordons
University
Ecosystem and skills for the 'digital by default' future.

15:30 A discussion on the role of the SPDM in the new energy era
- Led by members of the Board of the SPDM

------------------------ Tuesday November 23rd. (UK time) ------------------------

11:00 Rethinking Data & Digital Platforms in Oil & Gas
- Gunnar Staff, Production Optimization, Industry Solutions, Cognite
To succeed with digitalization, organizations must prioritize Industrial DataOps and highly contextualized data so that engineers, data scientists and others can intuitively understand and apply to their use case.

11:30 Offshore Daily Production Data Dashboard
- Robert Swiergon
, The Oil and Gas Authority
From source to cloud, the OGA will present how daily production data is now routinely reported and is made publicly available via PowerBI and ArcGIS.

15:00 The Importance of Seismic Data Quality and Standards
- Jill Lewis, Managing Director, Troika
AI, ML, OSDU, VDS, Cloud, etc., All new words and all need clean data. The industry wastes the most incredible amount of time and valuable resources going through data over and over again. It’s time to wake up and get it right.

15:30 Can AI accelerate adoption of the OSDU Data Platform?
- Jamie Cruise, Head of Products, Data
, Schlumberger
Come and discover how our ready to run service enables seamless connection to AI and domain applications for faster and improved decisions.

------------------------ Wednesday November 24th. (UK time) ------------------------

11:00 Data Mesh Explained – how we utilize data mesh in Equinor
- Sun Maria Lehmann & Jorn Olmheim, Enterprise Data Architect, Equinor

Data Products and Data Mesh explained with an Enterprise Data Architecture perspective in Equinor. .

11:30 But I don’t want to migrate my data (again)!
- Michael van der Haven, Director Consulting Expert, CGI

How OSDU can be utilized to create a data mesh and make your open data journey light-weight

15:00 Technical Information and Data Management – a Critical Enabler for Effective End-to-End Delivery of Subsurface Excellence
- Joshua Ukoha, Technical Data Management Lead, The Shell Petroleum Development Company Of Nigeria

15:30 A Start-to-END Data Quality Evaluation
- Dr. Leila Belabbassi, Lecturer, Texas A&M University

------------------------ Thursday November 25th. (UK time) ------------------------

11:00 The Superpowers to thrive in a world of constant change
- Siti Zubaidah Abu Bakar, Technical Data Analyst, Repsol
How do you see changes? As a threat or opportunity? How to treat and embrace the unexpected events as challenges rather than obstacles to avoid.

11:30 Enabling Spatial Data through SLIMM (Spatial Location Information Model & Media files)
- Håvard Gustad, Specialist IM, Equinor
Spatial Location information model and Media files, and it is a Data Management solution that will feed spatial data and information to end-user applications

15:00 Capturing assay table in mining documents.

- Henri Blondelle,CEO, AgileDD
A case study based on the TabIO open-source library to locate an segment tables at scale.

------------------------ Friday November 26th. (UK time) ------------------------

11:00 How Intelligent Search can support Digital Transformation
- Lee Hatfield, Senior IM Consultant, Flare Solutions

11:30 A Response to the UKCS Data & Digital Maturity Survey
- Dave Mackinnon, Technology & Innovation Manager, Technology Leadership Board
Progressing the challenges of Digital Transformation within a UK Offshore Energy Industry

15:00 The Future of Industry Standards
- Ross Philo, Chief Executive Officer, Energistics

… followed by a brief panel session with guests to be announced.


Presentation abstracts

------------------------ Monday November 22nd. (UK time) ------------------------

11:00 Becoming a New Energy Data Professional – What are your transferable skills? Jess Kozman, Senior Principal Consultant, Katalyst DM

The transition of resource industries to a lower carbon future has already had a profound impact on data management professionals, as many data subject matter experts with years and decades of experience in exploration, global new ventures, or regional basin and play analysis have been transferred into roles supporting carbon sequestration, hydrogen storage, geothermal, or renewables. In this presentation we will look at new data types associated with low carbon energy domains, efforts to leverage open-source cloud data platforms for the standardization of greenhouse gas measurement, monitoring, and compliance, and lessons learned and industry accepted optimum practices from exploration and production that can be applied to new energy data platforms. We will conclude with some upskilling pathways for those with expertise and business acumen in petro-technical data management to position themselves as champions for the Data Fit Organization of the future.


15:00 The Impact of Digitalisation on Data Professionals Fionnuala Cousins & Prof. Simon Burnett, Lecturer & Professor, Robert Gordons University

Digitalisation is impacting all industry sectors. Advances in information technologies are enabling industries, including the upstream oil and gas industry to leverage data and information more effectively. The effective use of these technologies is reliant on the skills and knowledge of the data and information professionals. At present however, it is unclear if the training and education requirements of data professionals needed to complement these technological advances are also keeping pace.

Commissioned by OGUK and gathering data from practitioners, this research developed a model of the current and possible future digital ecosystems and a digital skills roadmap to address issues identified.

SPDM Online will be the first international presentation of this project.


------------------------ Tuesday November 23rd. (UK time) ------------------------

11:00 Rethinking Data & Digital Platforms in Oil & Gas Gunnar Staff, Production Optimization, Industry Solutions, Cognite.

Unified access to data across data silos is not delivering digitalization success despite cloud data lakes being commonplace in Oil & Gas. Traditional data integration is failing to meet new business requirements that demand a combination of real-time connected data, self-service, and a high degree of automation, speed, and intelligence. While collecting data from various sources is often straightforward, E&P organizations often struggle to fuse individual data sets together with other data sources to deliver a comprehensive view of their real-world assets and processes - one that is not only accessible but truly understandable to all data consumers.

The best E&P data and digital platforms focus on data contextualization and democratization by allowing business users to support easy discovery and navigation of data assets in live operational context to support various workloads and use cases.

The secret to successful E&P data and digital platforms is to place data operations, not cloud data storage, and AI based data augmentation at the center of their data and digital platforms. The goal of all data and digital platforms needs to be creation and provisioning of highly contextualized data that engineers, data scientists and others can intuitively understand and apply to their use case solving.

Focus needs to be on automating the process integration, transformation, preparation, curation, security, governance, and orchestration of a unified contextualized data representation of the industrial reality to enable analytics and insights quickly for business success. Those who remain focused on 'lifting and shifting' data from on-premise source systems siloes to the cloud without addressing the critical need for data augmentation by means of AI-generated active metadata risk ending up with a cloud data swamp instead of the desired digital transformation engine.


11:30 Offshore Daily Production Data Dashboard Robert Swiergon and Bee Smith, The Oil and Gas Authority

Since 2018 field operators have had an obligation to report daily production data per wellbore, for the entire life of the field, following cessation of production of the field. The OGA will present how this process has been implemented, from defining reporting requirements to initial reporting, acceptance, and subsequent disclosure. The challenges of processing large data sets covering a substantial period of time, for fields with individual characteristics, along with changes in field operator will be discussed. These are some of the factors that can determine the effective and timely reporting of this data.


15:00 The Importance of Seismic Data Quality and Standards Jill Lewis, Managing Director, Troika

I have volunteered at the Technical Standards Committee (TSC) of the Society of Exploration Geophysists (SEG) for over 22 years. My work there was to try and improve data standards and enable better data quality, especially to help in the ingestion of historic data. Unfortunately quality has not been improved regarding historic data so what, in the modern computing world, we can do about this.  Without addressing the quality issue we are not able to look to efficiency in the Cloud, utilise AI or ML efficiently or adopt solutions such as OSDU and this is a matter that must be addressed.  The SEG is currently updating SEG-Y_r2 to enable the auto-read of historic information that has gone through a QC process and the SEG have signed a MOU with the OSDU group and are working on the ability for SEG formatted data to be used within the OSDU system as well as VDS formatted data.  This will ensure that the system will be able to host international data which is regulated by NDR's, most of whom require data to be in SEG standard formats.

One of my main concerns is that data may be lost as the focus of energy changes unless it is cleaned up, with all the debate about the future of exploration why would the data be worth keeping and yet I feel as scientific data and as a resource we do not know how it may yet be used.  The examination of the near earth's crust will probably never be repeated in the same way, we may never drill and take core samples in the same numbers.  As yet no-one can predict how this information may be used but already we see moves for carbon capture and other innovations.  This data is almost certainly extremely precious in ways that we have not even thought about.

Let us look at how we can improve historic data quality and improve access to this precious information.

15:30 Can AI accelerate adoption of the OSDU Data Platform? Jamie Cruise, Head of Products, Data, Schlumberger

Come and discover how our ready to run service enables seamless connection to AI and domain applications for faster and improved decisions.


------------------------ Wednesday November 24th. (UK time) ------------------------

11:00 Data Mesh Explained – how we utilize data mesh in Equinor Sun Maria Lehmann & Jorn Olmheim, Enterprise Data Architect, Equinor

Presenting some thoughts on what Data Products are and what defines them in Equinor. The importance of ownership, lifecycle management and governance as a fundament in the organization. How we add value through design thinking methodology and techniques. The Data Mesh explained with an Enterprise Data Architecture perspective and how we utilize this in Equinor through building our Data Products.

11:30 But I don’t want to migrate my data (again)! Michael van der Haven, Director Consulting Expert, CGI

Utilizing OSDU as a hub in a data mesh is a low risk approach to opening data and have it available at your fingertips. Especially if your organization is still in the early stages of digitalization. In fact: within our organization we see quite a few customers that have made (commercial) choices in the past for moving data to a new platform and hare heavily invested in that both from a monetary and organizational perspective. These investments are often an important hurdle to reinvest in a platform like OSDU. Still, those organizations are very much interested in how an open platform like OSDU progresses and truly offers 'data at your fingertips'. The same goes for other organizations that do want to liberate their on-premise data from their traditional silos, but also realize that a cloud journey can be long, risky and expensive and even comprise security. This leads to an interesting dilemma: take a gamble and invest heavily in these challenging times, or not investing and missing out on the competition

In this talk we'll focus on using a light-weight approach to OSDU, while retaining your original investments but opening up new possibilities with OSDU.

15:00 Technical Information and Data Management – a Critical Enabler for Effective End-to-End Delivery of Subsurface Excellence Joshua Ukoha, Technical Data Management Lead, The Shell Petroleum Development Company Of Nigeria

Proper management of subsurface technical information and data continues to play a crucial role in driving business performance and employee effectiveness leading to sustained wins in process excellence, quality assurance and cost improvement across business functions. Despite the best tools and equipment available in the industry, subpar data management can render the best technologies useless and can lead to undesirable safety and reputational consequences. As most oil and gas companies continue to aspire for a leading role in the emerging energy transition journey through an agile and nimble workforce, upstream data management and insightful visualizations have become a very important enabler for maximum value realization. However, the vast volume of data generated in the hydrocarbon maturation process makes it very difficult to achieve precise decision-making in an accurate and timely manner. Additionally, data assimilation can be made more difficult when data is not digitized, reside with different owners (or does not have clear ownership), is of poor quality, is accessible by unauthorized persons or is not governed by a common data model. Although these challenges above are frequently encountered in typical subsurface operational environment, there are opportunities for removing data silos and effectively integrating, standardizing, and structuring our data to provide a unified platform for subsurface excellence. This paper outlines details of the effective and integrated approaches that have been deployed in subsurface data management and visualization efforts via several data management initiatives. These initiatives have in turn improved collaborative efficiency, validity and reliability of subsurface realizations and business decision-making. Leveraging the Do-It-Yourself (DIY) framework, in-house technologies and digital solutions have also been developed and deployed across the business to enhance productivity and drive automation of routine business processes, thereby creating significant value for the organization (~USD4mln in savings) in areas like field management optimization, hydrocarbon discovery, maturation, and recovery. Furthermore, to establish the desired technology-enabled workforce of the future and preserve the gains, dedicated data engineering and visualization capabilities have been identified and integrated in the development plans for subsurface staff to effectively embed a data-centric culture.

15:30 A Start-to-END Data Quality Evaluation Dr. Leila Belabbassi, Lecturer, Texas A&M University

If data quality is measured with accuracy, reliability, usability, and suitability, then the data process validating the quality of the data should start at the early stage of data collection. When evaluating data quality the starting point differs, frequently referring to data at delivery or end of the data pipeline. Which means the time after the data has undergone a series of transformations. To ensure data quality is not lost in the transformations along the pipeline, it is important to design the evaluation process to include the entire data pipeline – from collection to delivery. The development of a data quality process starts with defining the data evaluation process. This presentation steps through the main elements that go into building this process: (1) The use of standards and constituents of the data management system to unify the parameters used in the evaluation process, (2) The adoption of automated testing to realize the evaluation of large volumes of data, and (3) The practice of a two-way communication process to solve data issues discovered during the data evaluation process. This last element ties directly to the importance of having the teams comprising the data management infrastructure commit to execute the data evaluation plan efficiently. The start-to-end data quality evaluation depends on the commitment of two types of teams: (1) The teams that collected and managed the data are usually responsible for reviewing issues and creating solutions and (2) The teams that handle the data are responsible for fixing issues and annotating data. The end goal of the start-to-end data quality evaluation is to transform the data into an asset by easing access and increasing usability.

------------------------ Thursday November 25th. (UK time) ------------------------

11:00 The Superpowers to thrive in a world of constant change Siti Zubaidah Abu Bakar, Technical Data Analyst, Repsol

Being in a world of rapid pace of change in the society and industry requires an ultimate adaptability and flexibility. How do we do that with calm and full of clarity? We hope to discuss ways we may develop to endure with these uncertainties and chaos. To see with the new perspective and to shift the mindset in order to embrace the chaos despite of the overwhelming of more and more data.

11:30 Enabling Spatial Data through SLIMM (Spatial Location Information Model and Media files) Håvard Gustad, Specialist IM, Equinor

How spatial information model can be a key enabler for unlocking new value in media files. Making the data available through data services and data products. SLIMM is an agile project set up as a scrum team and works in sprints. To be successful we start small after thinking big. Rather than perusing one potentially big product, we’ve been breaking down the ideas into smaller pieces for quick testing and iterations.

15:00 Capturing assay table in mining documents. Henri Blondelle,CEO, AgileDD

Mining companies store millions of documents on file systems. Unfortunately, the information contained in the documents is frequently locked in unstructured formats as PDF. One of our customers, Barrick Gold, a major gold mining company, has trained our AI solution to capture assay tables and associated metadata from subsurface documents. The presentation explains the open-source technology we have developed to train an hybrid model able to detect and segment assay tables at scale. It also detail the implementation of the solution, from OCR of handwritten documents to the astonishing obtained results. According to our customer, accessing in confidence massive amount of legacy geochemical data reduces the number of necessary drill holes and trenches, hence impacts the cost and environmental aspects of exploration.

------------------------ Friday November 26th. (UK time) ------------------------

11:00 How Intelligent Search can support Digital Transformation Lee Hatfield, Senior IM Consultant, Flare Solutions

Digital Transformations are now considered by most organisations to be essential to creating value, improving efficiencies and building an innovative environment. The vast majority of organisations have now embarked in the Digital Transformation journey and this presentation details how that journey can be eased and supported using Intelligent Search as a driver for change.

11:30 A Response to the UKCS Data & Digital Maturity Survey Dave Mackinnon, Technology & Innovation Manager, Technology Leadership Board

Data & Digital are the next step change in performance for our industry and one that we cannot ignore. When we think about Data & Digital we often think of specific data solutions and analytic tools; an app, a wearable device, a remote visual inspection of an offshore operation. Instead we should be thinking about the entire ecosystem that brings all of these solutions together in pursuit of the real goals: increased value, efficiency, reliability, and of course the reduced emissions and transformational technologies that will enable net zero.

15:00 The Future of Industry Standards Ross Philo, Chief Executive Officer, Energistics

… followed by a brief panel session with guests to be announced.




Presenters Bios

Henri Blondelle, CSO and co-founder, Agile Data Decisions

Henri is a geologist by education. He started his professional career in the 80’s at the early days of the geoscience workstation development with BP then with CGG-Petrosystems.

Henri is one of the co-founder of Agile Data Decisions, an innovative company developing a complete AI platform to capture information from technical documents at scale.

Professor Simon Burnett, Professor of Information Management, School of Creative and Cultural Business, Robert Gordon University

Simon Burnett is Professor of Information Management in the School of Creative and Cultural Business at Robert Gordon University. Prior to his academic career, Simon worked in the oil and gas industry designing and implementing online information systems. Simon was director of the RGU Centre for Knowledge Management from 2000-2008, providing KM-related research and consultancy services to a range of public and private sector clients including the United Nations, BP and the NHS, amongst others. He was Associate Director (External) of the Scottish Graduate School of Social Science from 2013-2016. In 2020, he was awarded a KTP with Dean's of Huntly.

Fionnuala Cousins, Lecturer in Information Management, School of Creative and Cultural Business, Robert Gordon University

Fionnuala is a lecturer in Information Management in the School of Creative and Cultural Business at Robert Gordon University. She specialises in industrial data management, particularly in but not limited to the energy sector. Prior to her academic career she worked in oil and gas data and information management for a service company and as a KTP Associate working to establish an industrial community of information managers in oil and gas.

She is currently the lead for courses in Energy Data Management, Petroleum Data Management, Subsurface Data Management and Document Control.

Jamie Cruise, Head of Products- Data, Schlumberger

Jamie Cruise is the Head of Products for Data Management at Schlumberger.  Jamie has over 25 years’ experience in delivering transformative solutions for upstream data management for both corporate and government clients.



Håvard Gustad, Specialist IM, Equinor

Håvard Gustad - Specialist Data Management in Geospatial Governance and Solution in Equinor. Håvard is managing project for building enterprise data platform capabilities enabling geospatial Data Products and computing using agile methods and human centric design. He holds a master’s degree in computer science and has more than 15 years of experience from the oil & gas and energy industry, working with project management both in digitalization and offshore operations and maintenance.

Lee Hatfield, Senior IM Consultant, Flare Solutions

Lee is a senior consultant with Flare Solutions. Lee started in the E&P industry in 2001 and has undertaken a number of roles with Schlumberger, Paras, BG Group and since 2014, Flare Solutions. During my time at Flare, I have completed projects covering standards development, huge data migrations, taxonomy and data tagging, Information Management training, developing Digital strategies and working with regulators to enhance data quality.

Jess Kozman, Senior Principal Consultant – Southeast Asia, Katalyst Data Management

Jess Kozman has recently started in a position as Senior Principal Consultant for Southeast Asia at Katalyst Data Management in Perth, Western Australia, after finishing a four year fixed term contract with Woodside Energy. The year he started in the oil industry, commodity prices peaked at inflation adjusted USD$110 per barrel, Tim Berners-Lee at CERN created a networked hypertext system that could be read by computers, and the first hard disk drive for microcomputers stored 5 megabytes. Since then he has worked his way through exploration geophysics, IT management, and petro-technical advisor roles, worked with data from all the largest oil companies on the planet, most National Oil Companies, and government agencies responsible for geotechnical data both on and off-planet. He is involved with STEM K-12 outreach and introducing digital natives to field geology.

Dr. Leila Belabbassi, Lecturer, Texas A&M University

Dr. Leila Belabbassi currently serves as a Lecturer for an online Master of Geosciences program in the College of Geosciences at Texas A&M University. She teaches classes in two of the program’s tracks: the Petroleum Data Management track and the Ocean Data Science track.

Previously, Dr. Leila Belabbassi worked for GCOOS, the Gulf of Mexico Ocean Observing System, and OOI, the Ocean Observing Initiative Program, performing the duties of a Data Scientist/Data Manager and taking a leadership role to supervise a small group of Data Evaluators. Dr. Belabbassi have also served as a Staff Scientist to direct research activities and create a data quality protocol for ocean observatories systems in the northwestern Indian Ocean.

Dr. Leila Belabbassi is a graduate of Texas A&M University. She earned both her M.S. and Ph.D. studying the impact of Loop Current Eddies and Mississippi River Discharges on the local oceanography of the northern Gulf of Mexico.

Having more than 2 decades experience in the data domain Dr. Leila Belabbassi is taking the teaching role as a mean to help train a data savvy workforce that understands that the data management task is neither easy nor simple, but it is possible with a lot of dedication and uncompromising commitment to excellence.

Jill Lewis, Managing Director and CEO, Troika International Ltd.

Voluntary post: Past Chair, Vice Chair, Sub-Committee Chair SEG Technical Standards Committee, liaison with Energistics and IOGP.

As Managing Director and CEO of Troika International Ltd, Jill has developed a new approach to data management and provided the industry with the ability to automate contract and format compliance.

Led the ratification of SEGY Rev 1, SEGD 2.1, SEG-D_3, SEG-D_3.1 and SEG-Y_2

Dave Mackinnon, Technology Leadership Board

Dave began his graduate career in 1993 working offshore as a Pipeline and Process Commissioning Engineer for NOWSCO. By 2001 he was Senior Process Engineer on the ExxonMobil Beryl Field, moving to Lundin Petroleum in 2004 progressing into Development Engineering. Dave joined TOTAL E&P UK in 2009 as the West of Shetland, Lead Development Engineer. Laggan-Tormore sanction followed, with initiation of Edradour and Glenlivet developments, along with the role of Head of Corporate Planning. 2011, saw Dave move to Paris as a Petroleum Architect assessing Shale Gas and Deepwater FPSO opportunities, before leading the Petronas - K5, High CO2 Concept Selection Project. 2013 brought a transition to New Business, as Project Director for East Africa.

Dave was appointed Head of Technological Innovation in 2016, building upon TEPUK’s commitment to an emerging UK Technology Landscape, focused primarily to RAS (Robotic and Autonomous Systems) with the evolution of a recognised robotics program.

More recently he spent 18months seconded to the Oil and Gas Authority (OGA) as Technology Advisor, supporting the Technology Leadership Board (TLB).

In 2021 Dave returned to TotalEnergies as Technology & Innovation Manger, a member of the TLB, ORCA ILOP Chair and OLTER Steering Committee.

Gunnar Staff, Production Optimization - Industry Solutions, Cognite

Gunnar is the head of Technical Consulting at Cognite, leading the technical discussions with all of Cognite’s Oil & Gas clients. Gunnar joined Cognite in 2018 where he built up the Production Optimisation team, delivering a wide range of data science related optimisation solutions. Prior to that he worked in SPTGroup and Schlumberger developing the multiphase pipe flow simulator OLGA, responsible for development of the core physics model, performing uncertainty and optimisation studies.

Gunnar holds a PhD in applied mathematics from Simula Research Laboratory/University of Oslo.

Jørn Ølmheim, Enterprise Data Architect, Equinor

Jørn Ølmheim – Leading Advisor Data Architecture in Equinor. Responsible for the Enterprise data architecture in the company. Software developer with strong background in agile methods and human centric design. Holds a master’s degree in computer science. Jørn has more than 20 years of experience working with software development in different capacities, the later years focusing on overall software and data architecture. Jørn is also an acknowledged conference speaker with talks at several international conferences.

Sun Maria Lehmann, Leading Engineer Enterprise Data Management, Equinor.

Sun uses applied Human Centric Design and Design Thinking methods to incubate, mature and build Data Products. Holds a master’s in petroleum geoscience with focus on data and data modelling. Sun has been working with data management for more than 22 years with a combination of experiences from hydrographic mapping, oil&gas and energy industry.

Robert Swiergon, Technical Data Manager, The Oil & Gas Authority

Robert is the Technical Data Manager at the Oil and Gas Authority (OGA). Robert’s role involves ensuring data is reported to the OGA on time and in the correct form and manner, which in turn allows that data to be disclosed publicly.

Robert graduated from The University of Aberdeen in Geology & Petroleum Geology and held a role with a small subsurface data company before joining the OGA in 2019. His role at the OGA covers a wide array of data types and reporting requirements.

Joshua Ukoha, Technical Data Management and Workflow Lead, Shell

Joshua is a well-rounded E&P Professional with 25 years’ experience in Subsurface & Wells IT, Information Technology and Well Engineering disciplines. A graduate of Computer Science in his First Degree with an MBA in Project Management, Joshua has consistently demonstrated mastery in data management, technology deployment, contracting, business interface/integration, information management, strategy development/implementation, and project management.

He has over 17 years of leadership experience in the oil and gas industry and is currently at the verge of completing his Doctorate in Project Management, in addition to his already acquired Project Management Certification (PMP).

He is currently leading Shell’s Technical Data Management and Workflow team in Nigeria, enabling the business to unlock value through development and deployment of digital technologies across Subsurface and Wells functions.

Michael van der Haven, Director Consulting Expert, CGI

As Director Consulting Expert in Oil and Gas, Michaël takes the lead in tackling IT, Integration and Domain challenges in Oil and Gas for CGI and CGI’s customers. The past 15+ years have been spent as a Solution Architect building various massive data and integration platforms for the Oil and Gas industries. Making mistakes, celebrating success and backed by not just an IT, but also a domain based Reservoir Engineering background. In the last few years this has culminated in a very active contribution to the OSDU forum and the development of CGI’s Pivot: a Platform as a Service Solution based on the emerging standards for OSDU.

Siti Zubaidah Abu Bakar, Technical Data Analyst, Repsol

Zubai Abu Bakar is a graduate of Bachelor of Tech. (Hons) in Info & Communications Technology from University Technology Petronas & Petroleum Data Management from Robert Gordon University. Initially based in Kuala Lumpur and working on a variety of tasks and projects throughout the years. She is currently the Technical Data Analyst in Repsol. Much of her recent work has involved the development & coordination of E&P Data Management & Project Management delivery. Apart from that, she is actively involved in few volunteering programs globally, mainly on advocating the professional development for Petroleum Data Managers and mentoring the local university students.

Organising Committee

The event organising committee is an international group of practitioners in energy data management. You can browse the membership below. All SPDM members were invited to volunteer to participate in the committee so if you are interested in volunteering in future, look out for the invitation email.


Klaus Eder - Geoscience Business Owner

Klaus is currently working in Schlumberger as Geoscience Business Owner, based in Austria. Klaus has been working in the industry for 20 years in various technical roles in geophysics & geology in different countries. Klaus holds an M.Eng in Applied Geoscience from the University of Leoben, Austria.



Sun Maria Lehmann - Leading Engineer within Enterprise Data Management, Equinor

Sun is working in Equinor as an Leading Engineer within Enterprise Data Management part of Enterprise Digital. She holds 3 years of Data Management experience from the Norwegian Hydrographic office and 7 years drilling services experience prior to Data Management positions for Statoil since 2008 and includes advisory positions since 2011. She has been a member in the Blue Book Work Group and Diskos Well Committee, OSDU Data Definitions Subcommittee and currently holds a position as a program committee Chair in ECIM Conference and as member in the ODA-Nettverk Trondheim board (for women in tech). In Enterprise DM the focus is now shifted to the whole company and currently Sun works within Domain Driven Design, Data Mesh Architecture, Design Thinking and Human Centric Design applied for Data Products. Sun holds an M.Sc in Petroleum GeoScience from NTNU in 1998.


Chris Stevens - CGG Smart Data Solutions

Chris graduated from Leicester University in Geology with Geophysics. He started his career with DPTS in data processing well over 30 years ago, before moving to Western Geophysical which included a three-and-a-half-year stint in South America. He joined Geotrace when they started in the UK and then Spectrum in a variety of technical sales and business development roles. He joined CGG’s data management business (Smart Data Solutions) in 2019 in their commercial team, where he is actively involved in digitalization projects. Chris recently completed the University of Edinburgh’s course on Climate Change: Carbon Capture and Storage.

Lars Gåseby - Technical Data Management Advisor, Shell

Lars is working in Shell as Technical Data Management Advisor in Shells global technology organization. He has been working in the industry since 1989 in Schlumberger, ConocoPhillips and Shell. His current focus is how to automate data management processes and supporting digitalization initiatives. He is board member of ECIM and is chairing the board for Society for Petroleum Data Managers (www.societypdm.com). He has a M.Sc. from UiO

Pierrick Gaudin - Data Architect, Total

After an M.Sc in Digital Geosciences (Nancy-2005) and 8 years in CGG first as a Geophysicist then as a Software Architect, Pierrick is now working as a Data Architect in Total to build an Enterprise Data Model. This project is based on retrieving and gathering of all the Logical Data Models involved in the Company and consolidating them in a unified vision. Acting as a gateway between Business and IT, and faced with firmly entrenched silos, he contributed to set up, and now leads, a cross-entities team that aims to set up and implement the Data Governance Program.

Mark Rae - Global Discipline Lead for Technical Information and Data

Mark works in Shell as the Integration and Seismic Data Manager and also acts as the Global Discipline Lead for Technical Information and Data. He has 20 years of experience in petroleum data management, and since joining Shell has held a variety of roles covering most of the data spectrum. Most recently, Mark had a very enjoyable posting to Brunei Shell Petroleum where he developed local petroleum data management capability and implemented a sustainable data management organisation. He is currently focused in leading a strategic global program to improve data management, tools and processes for Shell Exploration. Mark holds a BSc degree in Geology and Petroleum Geology from the University of Aberdeen.

Jane Hodson - Information & Samples Lead, Harbor Energy

Jane is a highly experienced Subsurface Technology and Data Management Subject Matter Expert with over 30+ years in the industry. Although she started in the Merchant Navy (as a Radio Officer) a complete change in her career found her transferring to the oil industry in 1984 with BP in the Petroleum Engineering Department and so began her indoctrination into subsurface data management. Initially in BP then onto CNR, Centrica, Premier Oil and now Harbor Energy. She is currently sitting on the NDR Advisory Committee and also mentoring a new generation of petroleum data managers.

Kerry Blinston - VP Smart Data Solutions, CGG

Kerry holds a degree in Geological Sciences from Leeds University and a masters in Petroleum Geology from the University of Aberdeen. He commenced his career as a sedimentologist working for Robertson Research. Advancing into various business development and managerial roles Kerry now manages CGG’s global data management business line as VP Smart Data Solutions, having joined the data management group in 2007. As an active member of the international petroleum data management community he has been part of the organising committee for the NDR conference, sits on the advisory group for the RGU Graduate Certificate in Petroleum Data Management is currently co-leading the Data Security, Entitlements and Obligations team for Open Subsurface Data Universe.

Waclaw ( Wally) Jakubowicz - Managing Director, Hampton Data Services

Wally has spent over 40 yrs in the Oil and Gas industry after graduating in 1979.

He initially worked for Schlumberger as a Wireline Field Engineer, Geophysicist and Petrophysicist, followed by a career as an independent consultant. He has worked for many clients around the world. Parallel to his subsurface data interpretation career, he has also spent 30 yrs involved in E&P subsurface data & information management. This was largely driven out of the frustration of having to constantly start interpretations with poor quality, incomplete and unvalidated data of unknown provenance and then struggling to find the necessary supporting critical data necessary for an optimal interpretation.

Wally now manages Hampton Data Services, that is developing efficient data discovery applications and E&P clean up workfows as part of its service. This has involved the use of ML, BI rules, Neural networks to create an Automated Virtual Data Management environment to index, classify and spatially link large volumes of unstructured in ponds, lakes and oceans.

Khushal Adlakha - Data Scientist, Cognite

Khushal is working as a Data Scientist solving oil and gas upstream use cases with a data-driven approach and machine learning. In Cognite, he is responsible for data science and data analytics related activities for product development, executing and presenting consulting projects to clients involving data analytics and machine learning. He holds a MSc in Petroleum Geosciences Engineering from University of Stavanger(2016-2018), Norway and Bachelor's in Petroleum Geosciences Engineering from UPES (2010-2014), India. Prior to completing his Master’s, he worked as an Associate Consultant in the Energy and Natural Utilities Department for Wipro Technologies, in India.

George Rorie - Chief Data Officer - Subsurface and Wells, Shell

George holds a BSc Information Engineering from the University of Strathclyde, and has over 30 years of experience in the Upstream Energy Industry in a wide variety of IT and Technical Data Management roles in Europe and Australia. He is presently Shell’s Chief Data Officer covering Subsurface, Wells and Technology. He was formerly a member of the Common Data Access Council, and a board member for 5 years.

Els van Wenum - Lundin Energy

  • Exploration Data Manager, leading the Data Management team in Lundin Energy Norway
  • MSc Geology (mineralogy)
  • Worked in Europe, Africa and Middle East and moved to Norway in 1997
  • In Norway worked for Total Norge, Idemitsu and since 2005 for Lundin
  • From 2015 member of Diskos Steering Group

Daniel Brown - Chairman of the Society Board

Daniel joined Common Data Access Limited (CDA) in 2014, working with UK Licensees and with the Oil and Gas Authority to implement the new UK legal regime for the retention, reporting, and disclosure of information and physical samples. This culminated in the launch of the UK NDR, operated by CDA, in March 2019. Daniel has been working in data and information since 1998, and in oil and gas since 2004.

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