Remote Collaboration Centre -Subsurface and Wells

Location ,
Job Type Contract

Job Description:

Job Title - Drilling - Real-Time Data Specialist

Role Synopsis

Real-Time Data Specialist provides data management support to the real time centre. The role will include identification of business intelligence, reporting, and data analysis needs and delivery appropriate solutions.

The role will be based in the greater London area.


Key Accountability

Responsible for all aspects of data management support

·         Document data requirements

·         Work with the support team to review real-time data currently being received from all.

·         Ensure full and correct data provision from service

·         Provide management and oversight of data delivery and standards, mnemonic dictionary, Global Mnemonics and unit system configurations,

·         Continuous improvement of procedures and supporting materials for well, hole section and activity start-up as it pertains to data and RT apps config

·         Generation of service company data reliability metrics and their publication to stakeholders

·         Development of RT data reliability and quality performance reports

·         Development of additional business intelligence dashboards and reports

Primary skills and experience

·         3+ years experience in mudlogging or well placement rig operations

·         Practical experience with one or more data acquisition systems

·         Excellent understanding of WITSML, WITS, and real-time data flows

·         Experience of working with WITSML data aggregation, transfer and display platforms

·         Demonstrated experience with use of business intelligence tools such Power BI

·         Degree qualified

Secondary skills and experience

·         Knowledge of the Landmark EDM data model and applications

·         Experience implementing data and information management best practice

·         Proven ability to identify opportunities to improve service and process

·         Interest in new technology