SSW Data Management - Petrophysics

Where do you fit in?

Expect lots of support and encouragement while you’re here. You’ll be working alongside people who love what they do and enjoy sharing their enthusiasm with everyone around them. We value career growth. You’ll have limitless opportunities to explore whether that means building up new areas of expertise or taking in a different direction.

This role Subsurface & Wells (SSW) Data Management- Well Engineering supports TAO SS&WRFM team to maintain the global integrity for SS&WRFM (Subsurface & WRFM) data assurance processes, controls, performance measures and compliance. This role is a key interface between the TAO Data operations team and Upstream Development teams and other relevant technical communities. The VP TAO will be accountable for maximizing integrated business value across the organization. Technical asset Operations (TAO) is a key enabler for the accelerated delivery of Shell’s Asset Management System and will help us to reach our ultimate potential in Downstream Manufacturing, Integrated Gas and Upstream. TAO provides high quality and cost-competitive technical resources who are not physically present at site yet are an integral part of asset teams delivering value through end-to-end AMS work processes.

What’s the role?

• Execution of requirements and implementation of KPIs across multiple subsurface disciplines
• Support delivery of various Project and services across the TAO Subsurface team
• Interface with team and peer reviewers to incorporate best practices and ensure process compliance.
• Contribute to fit-for-future and proactive sharing of knowledge and best practices.
• Support subsurface engineers by providing data and application support.
• Operational support: loading/managing subsurface data (well data, well logs a core data and well documents to and within corporate and project databases
• Responding to the Subsurface/end-user requests e.g., resolving data quality issues through proactive daily monitoring of relevant queries, reactive identification of data issue.
• Participation in the elements of Data Projects where execution can be performed in a back office / Centre of excellence– e.g., data migration to align with new / global standards.
• Driving data quality improvement through interaction with local data analysts / consultants
• Highlight and resolve challenges / issues identified during the data intake and loading phase
  
  

What do we need from you?

• A degree in Engineering or Master’s degree in Geoscience with at least 2 years of relevant industry experience.
• Knowledge of technical data management with adequate discipline knowledge in Geoscience / Petrophysics is essential.
• Hands on experience in handling petrophysical data, log QC & processing is desired.
• Experience in dealing with various subsurface data types including Seismic, Geological, Borehole and Reservoir data is an advantage.
• A good understanding of the oil and gas business and how it works.
• Deliver quality work within the agreed timeline and resolve any quality issues / complaints raised by stakeholders in a satisfactory & timely manner.
• Embedding innovative technologies in Subsurface to bring efficiency and credibility to project delivery.
• Ability to build dashboard to visualize all available data.
• Demonstrable focus on HSSE
• IT/ data skills preferred:
• Techlog, Geolog, Petrel, Openworks, OSDU etc
• SQL
• Linux
• Data Visualization –Spotfire/PowerBI
  
  

Behavioural Competences:

• Learner Mindset
• Flexibility to move quickly across changing priorities and manage multiple Projects/Programmes.
• Demonstrated professional competence, and proven ability in problem solving skills.
• Ability to independently, resourcefully, and creatively research and implement new solutions.
• A good understanding of the oil and gas business and how it works.
• Ability to engage and effectively communicate at all levels.
• Strong interpersonal skills, ability to challenge and ability to build internal and external relationships based on trust and to integrate across multiple functions.
• Continuous Improvement