Reservoir R&D Intern: Lab Research & Data Analysis

Aramco Americas Company; Houston (TX); On-site; USD 20,000 - 36,000; Full time

Job summary

Aramco Americas Company in Houston invites motivated graduate students to join our Reservoir Engineering Technology team as a Summer Intern. You will contribute to a defined research project, perform literature reviews, and assist with laboratory experiments under experienced researchers in an industrial R&D setting.

This internship emphasizes data analysis, software tools, and communication of results, with opportunities to develop modeling workflows, document methods, and present findings to

Qualifications

• Bachelor’s degree in engineering, geoscience, physics, mathematics, or a related field.
• Current enrollment in a graduate program in one of these disciplines.
• Relevant coursework or research experience in porous media, fluid flow, petrophysics, geomechanics, reservoir engineering, laboratory characterization, or related subsurface systems is preferred.
• Experience in laboratory experimentation, data analysis, numerical methods, or scientific computing is desirable.
• Familiarity with technical computing or programming tools such as Python, C++, or MATLAB is desirable.
• Ability to review technical literature, analyze results, maintain research records, and communicate findings clearly in written and spoken English.
• Ability to work independently and collaboratively, follow guidance, and demonstrate professionalism, attention to detail, and a strong work ethic.
• Availability for the full internship term.

Responsibilities

• Contribute to a defined research project involving multiphase flow, formation evaluation, or petrophysical characterization for conventional and unconventional reservoirs.
• Conduct focused literature reviews and summarize relevant advances in conventional and unconventional reservoir characterization and development.
• Assist with laboratory experiments, technology evaluations, or workflow development under the guidance of experienced researchers.
• Explore topics that may include transport properties, enhanced recovery, fluid-fluid and fluid-rock interactions, and formation evaluation in conventional and unconventional reservoirs.
• Analyze experimental results and, as applicable, geological, petrophysical, completion, or production data using appropriate methods and software.
• Develop, modify, or apply code and research software, as needed, to support data analysis, modeling, experimental workflows, or technology development activities.
• Apply scientific and engineering principles to investigate research questions, identify trends, and develop well-supported conclusions.
• Document methods, assumptions, results, and limitations to support reproducible research.
• Collaborate with team members and other R&D groups, participate in technical discussions, and incorporate feedback into assigned work.
• Prepare a technical report, project updates, and a final presentation summarizing the research problem, approach, results, and conclusions.
• Support preparation of publications, conference materials, or other technical communications when appropriate.
• Follow all laboratory safety procedures and contribute to a safe, accident-free work environment.
• Comply with company safety, cybersecurity, confidentiality, and professional conduct requirements.
• Perform other project-related duties as assigned within the scope of the internship.

Skills

Data analysis

Literature review

Technical communication

Team collaboration

Problem solving

Education

Bachelor’s degree in engineering, geoscience, physics, mathematics, or related field

Current enrollment in a graduate program

Tools

Python

MATLAB

C++

Job description

Aramco Americas Company in Houston invites motivated graduate students to join our Reservoir Engineering Technology team as a Summer Intern. You will contribute to a defined research project, perform literature reviews, and assist with laboratory experiments under experienced researchers in an industrial R&D setting.

This internship emphasizes data analysis, software tools, and communication of results, with opportunities to develop modeling workflows, document methods, and present findings to