Petroleum Engineering Systems Analyst

Key Skills

Aartificial intelligence, C++, Data Analytics, Data science techniques, Java Programming, Linux Operating system, Python Programming, SQL

Job Description

Aramco occupies a unique position in the global energy industry. We are the world's largest producer of hydrocarbons (oil and gas), with the lowest upstream carbon intensity of any major producer. 

With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society.

Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.

We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.

Overview

We are looking for a Petroleum Engineering Systems Analyst to join Petroleum Engineering Application Services Department (PEASD), under the Exploration and Petroleum Engineering Computer Center (ECC).

PEASD Provides the best in class and high-quality petroleum engineering Information Technology (IT) solutions to Saudi Aramco Upstream communities in a cost-effective and timely manner. The Engineer is expected to lead initiatives and introduce novel ideas to address & solve current business challenges and objectives.

Key Responsibilities

• You will be required to perform the following:
• Support the high-performance computing environment.
• Develop computational modelling solutions.
• Identify opportunities and define new business cases that can benefit from Industrial Revolution (IR) 4.0 technologies in all Petroleum Engineering (PE) domains (Reservoir Engineering, Reservoir Simulation, Production and Drilling).
• Introduce, deploy and promote the utilization of new IR 4.0 technologies and tools.
• Build the required machine learning models and participate in data collection, Quality Control (QC) and preparation.
• Architect new solutions and participate in the development from data collection to data prediction and analytics.

Minimum Requirements

• As a successful candidate, you
• Hold a Bachelor’s degree in Computer Science, Software Engineering (preferably with minor in Computational Modeling).
• Must have a minimum of 10 years’ experience or research in data science or computational modeling.
• Have Knowledge in Data Science technologies and artificial intelligence techniques & tools.
• Must have the knowledge and experience in Data Analytics, Artificial Intelligence technologies.
• Have knowledge in Python/C++/Fortran/Linux scripting (c and Bash scripting).
• Are familiar with HPC job schedulers (UGE, PBS, Slurm … etc.).