Summer Internship - I&E - Subsurface Technology (Reservoir engineering) – Computational Reservoir engineer – UK

Entity:

Innovation & Engineering

Job Family Group:

Subsurface Group

Job Description:

More specifically, this intern role involves the investigation of deep learning approaches to improve the bp reservoir model building and simulation workflows, with the goal of efficiently assessing the impact of geological uncertainty on predicted reservoir performance.

The role will be in the bp I&E Subsurface Technology Center of Excellence (ST CoE), which partners with and supports bp oil and gas, carbon storage and other low carbon teams in researching and developing innovative tools and workflows for robust field development and/or storage plans, with full consideration of risks and uncertainty.

Innovation and Engineering (I&E) has the purpose of creating, growing, and delivering innovation at pace, enabling bp to thrive in the transition to a net zero world, without compromising operational risk management. We are home to bp’s brightest science, engineering, and digital specialists – smart minds, visionary thinkers, and serial problem solves, partnering with bp’s oil, gas and low carbon businesses to identify solutions and unlock value.

REQUIREMENTS

- You will be in your penultimate year of study, working towards a Master’s degree or PHD in reservoir engineering or related quantitative discipline, such as physics, mathematics, or computational science, with strong computational modeling experience

- Experience in reservoir model building and simulation

- Experience in designing and applying statistical and physics-based mathematical modeling techniques

- Excellent design and coding skills with a focus on Python and/or C++

Desirable skills:

- Skills in optimization and inversion methods

- Skills in machine learning / deep learning algorithm development and optimization, including, but not limited to, feed forward neural networks, Convolutional Neural Networks, VAEs, GANs, transformer networks, etc.

- Proficient in working in a Linux environment

- Understanding of geostatistical theory associated with the population of properties in a gridded geocellular model

Location

You will likely be based out of one of our main UK offices in Sunbury. The location will depend on business needs.

Please note: you can apply to 1 bp early careers opportunity globally per academic year. If you make multiple applications within the same academic year then we will only process the first application you make, and you’ll be withdrawn from any subsequent applications.

If you are not sure that this is the opportunity for you, please return to our Candidate Matcher to review your other matches.

Within the education section please list all information for any degrees that you have studied or are currently studying.

If you need to make any adjustments to any stage of the recruitment process, for example due to an illness, injury or a disability, please contact us on 0800 279 2088 or email If calling from overseas, please dial +44 1635 584149.

Travel Requirement

Negligible travel should be expected with this role

Relocation Assistance:

Relocation may be negotiable for this role

Remote Type:

This position is a hybrid of office/remote working

Skills:

Coding Languages, Data Analytics, Mathematics Modeling, Statistical Analysis

Legal Disclaimer:

We are an equal opportunity employer and value diversity at our company.  We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status , neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with disabilities may request a reasonable accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.).  If you would like to request an accommodation related to the recruitment process, please  contact us   to request accommodations.

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy.  This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.