Reservoir Modeling Digital Solutions Earth Scientist

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

The job posting is outdated and position may be filled

Job Summary

Total Number of Openings

About the position:

Chevron ENGINE is looking for high-performing candidates to join our Reservoir Modeling team with a focus on digital solutions development in object-oriented languages including C# C Java; Azure ecosystems developments. The Reservoir Modeling team focuses on field development/application as well as technology development.

This is a mid-career position in the Chevron ENGINE Earth Science Chapter for a knowledgeable earth scientist practitioner with digital solutions development (SLB Ocean and Petrel) applied to the subsurface domain.

This role performs Reservoir Modeling related digital solutions development to support Chevron operations. Will be involved in enhancing Chevrons Reservoir Characterization and Modeling workflows to provide differentiating capability and integration of a mix of proprietary and best-in-class vendor products.

The Reservoir Modeling and Digital Solutions Earth Scientist should have sufficient experience and expertise to deliver products with support from the Digital Platform

Key responsibilities:

Responsible for the development and/or deployment of existing and new technology and workflows to solve key business challenges across Chevron.

The job involves integration of geological petrophysical geophysical and engineering data to create reservoir models used for resource evaluation and production forecasting.

Provides support to the Digital Platform and is responsible for running maintaining supporting users and improving the Geology suite of Petrel-plugins.

Contributes to the development of new Geological plug-ins in Petrel (e.g. coding in Ocean development of user interfaces and algorithms).

Targeted user-experience and data management development (e.g. GUI Power-BI data engineering Machine Learning engineering and mature digital minimum viable products)

Teaming with US-based R&D groups focusing on developing and deploying reservoir modeling and geology products and workflows.

Application testing pipeline build and release in cloud platform.

Development of technical digital solutions and training documentation

Required Qualifications:

MSc/PHD degree in Earth Science or Engineering.

Demonstrated fluency in digital solutions development in object-oriented languages including C# C Java; Azure ecosystems developments (pipelines dashboards visualization data management systems).

At least five years of experience in Earth Science or Engineering or related industry.

Proficiency with Petrel or equivalent Earth Modeling suite.

Understanding of physical processes associated with earth science reservoir modeling and subsurface.

Experience with customer support and understanding of subsurface business needs and utilizing Scaled Agile Framework (SAFe) processes to implement highly prioritized features.

Good communication skills and ability to work effectively in a team environment.

Preferred Qualifications:

Fundamental knowledge of geological workflows applied to subsurface.

Familiarity with SLB Ocean development framework.

Skills of using Machine Learning/AI to accelerate performance and accuracy of reservoir characterization and modeling.

Direct experience with discretization of reservoir models.

Chevron ENGINE supports global operations supporting business requirements across the world. Accordingly the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00am to 5:00pm or 1.30pm to 10.30pm.

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

Total Number of Openings1About the position:Chevron ENGINE is looking for high-performing candidates to join our Reservoir Modeling team with a focus on digital solutions development in object-oriented languages including C# C Java; Azure ecosystems developments. The Reservoir Modeling team focuses ...