Chevron Hiring for Petroleum Engineering – Machine Learning Intern at Calgary, AB Full Time

Chevron provides:
Mentorship in machine learning and system engineering

Hands-on technical work projects that will expand your knowledge of the industry and accelerate your professional development.

Training of industry and Chevron proprietary applications.

Exposure to the latest technologies for exploration, production and reservoir management in a workplace dedicated to digital acceleration.

Collaborative, high-performance work environments where integrity, diversity and teamwork are valued.

Chevron is one of the world’s leading energy companies, with approximately 48,000 employees working in countries around the world. We explore, produce and transport crude oil and natural gas; refine, market and distribute fuels and other energy products; manufacture and sell petrochemical products; generate power; and develop future energy resources.

Chevron has been responsibly developing Canada’s abundant energy resources for more than 80 years. Our success is driven by our people and their commitment to getting results the right way – by operating responsibly, executing with excellence, applying innovative technologies, and capturing new opportunities for profitable growth. We take great pride in enabling human progress by developing affordable, reliable, ever-cleaner energy that improves lives and powers the world forward. To learn more about Chevron Canada, visit Canada.chevron.com .

This internship opportunity has a targeted duration of (8-16) months, beginning in May 2022.

Chevron is accepting online applications for the position of Petroleum Engineering Intern in Calgary, Alberta until Monday, February 14, 2022, at 11:59 p.m. (Eastern Standard Time).

Responsibilities for this position may include but are not limited to:

Work in a multi-discipline team to quantify the uncertainties of the reservoir, monitor competitor activity, and perform studies to identify trends or performance improvement opportunities.

Analyze petroleum engineering problems using supervised and unsupervised learning techniques.

System design and architecture of machine learning pipelines for well characterization workflows. Support deploying code to automate and improve the quality of reservoir assessments.

Lead an analytics-based work-term project, blending engineering and data science principles to tackle a novel problem.

Analyze recently drilled and completed wells once on production to evaluate completion effectiveness and any well interference effects.

Support other Petroleum Engineers and Earth Scientists within the group with ad hoc requests and projects.

Actively participate as a partner with peer Engineering and Operations teams to ensure personal & process safety, environmental, reliability, regulatory compliance, and business objectives are achieved.

Qualifications:
Pursuing Bachelor’s degree or Graduate Program in Petroleum, Chemical, Process, Mechanical, Electrical, Computer, or Civil Engineeri ng disciplines will be considered.

Demonstrated high level of academic performance.

Good communication, leadership, teamwork and problem-solving skills.

Strong work ethic with internal drive to succeed.

Strong computer applications knowledge (Excel, Word, PowerPoint, Outlook).

Computer programming is an asset ( VBA, Python, R)

Data analytics knowledge of tree-based, Gaussian process, and neural network models are valued but not required.

Previous oil and gas related internship experience is an asset.

Must be legally entitled to work in Canada.

Relocation Options:
Relocation may be considered within Chevron parameters.

Chevron regrets that it is unable to sponsor employment visas or consider individuals on time-limited visa status for this position.

Chevron participates in E-Verify in certain locations as required by law.