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Drilling Specialist - Optimization

Salary undisclosed

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  1. Must haveminimum bachelor’s degreein the Engineering, Geology, Petroleum or

Science discipline;

  1. Minimum Fifteen(15) years of Oil and Gas Industry experience and haveextensive knowledge in drilling operations, Formation Evaluation while Drilling (FEWD) response, wellbore stability and performance.
  2. Minimum Eight (8) years of practical well delivery optimization experience and in using Engineer’s Data Model (COMPASS, WELLPLAN, Open Wells) suites or equivalent that providecomprehensive set of engineering toolsfor pre &post-well analysis, well planning, modeling, and well operations optimization.
  3. Attended Extended Reach Drilling (ERD), Stuck Pipe Prevention, WellControl and other Well Operation and Intervention courses;
  4. An expert in RTO technologies, and client business and operational processes within a system;
  5. Demonstrates expert knowledge of system specific technical computing environments including database, network, operating systems, data management, architectures and hardware;
  6. Demonstrates a comprehensive knowledge and understanding of all call management support and service level guidelines, so as to provide recommendations on improvement. Provides coaching to customer/contractor staff analysts on processes;
  7. Able to contribute to Best Practices in project delivery and set projectobjectives and priorities, as well as set milestones;
  8. Has developed project management skills and is capable of leading projectteams of up to 20 people;
  9. Able to contribute to performance by challenging rigson different approaches to operations to improve performance;
  10. Able to identify workflow enhancement opportunities, data visualization solutionsand develop toolsfor these purposes in MS PowerPlatform or Python. Additionally, for more complex digital analytics projects, leading software development or data science teams for such outcomes;
  11. Able to explore and test data for insights with data sciencetechniques with skills in MS Power Platform, Power BI, Power Apps and Python and work with data scientists on more complex machine learning or AI solutions;
  12. Have excellent command of Englishlanguage in both speaking and writing; and
  13. Work schedule: 5 days a week (on24-hours x 7 days call)
  1. Must haveminimum bachelor’s degreein the Engineering, Geology, Petroleum or

Science discipline;

  1. Minimum Fifteen(15) years of Oil and Gas Industry experience and haveextensive knowledge in drilling operations, Formation Evaluation while Drilling (FEWD) response, wellbore stability and performance.
  2. Minimum Eight (8) years of practical well delivery optimization experience and in using Engineer’s Data Model (COMPASS, WELLPLAN, Open Wells) suites or equivalent that providecomprehensive set of engineering toolsfor pre &post-well analysis, well planning, modeling, and well operations optimization.
  3. Attended Extended Reach Drilling (ERD), Stuck Pipe Prevention, WellControl and other Well Operation and Intervention courses;
  4. An expert in RTO technologies, and client business and operational processes within a system;
  5. Demonstrates expert knowledge of system specific technical computing environments including database, network, operating systems, data management, architectures and hardware;
  6. Demonstrates a comprehensive knowledge and understanding of all call management support and service level guidelines, so as to provide recommendations on improvement. Provides coaching to customer/contractor staff analysts on processes;
  7. Able to contribute to Best Practices in project delivery and set projectobjectives and priorities, as well as set milestones;
  8. Has developed project management skills and is capable of leading projectteams of up to 20 people;
  9. Able to contribute to performance by challenging rigson different approaches to operations to improve performance;
  10. Able to identify workflow enhancement opportunities, data visualization solutionsand develop toolsfor these purposes in MS PowerPlatform or Python. Additionally, for more complex digital analytics projects, leading software development or data science teams for such outcomes;
  11. Able to explore and test data for insights with data sciencetechniques with skills in MS Power Platform, Power BI, Power Apps and Python and work with data scientists on more complex machine learning or AI solutions;
  12. Have excellent command of Englishlanguage in both speaking and writing; and
  13. Work schedule: 5 days a week (on24-hours x 7 days call)