Reservoir Engineer - Digital Solutions Engineer

Quest Global; Bengaluru; On-site; INR 1,000,000 - 1,600,000; Full time

Job summary

Quest Global is seeking an experienced Reservoir Digital Integration Engineer to own and support the integration of reservoir engineering workflows within GHG Emissions, ensuring seamless data exchange between INTERSECT/GAP and the digital platform.

The role will validate, test, and troubleshoot automated workflows, perform reservoir analyses and forecasting studies, and ensure data quality across engineering workflows.

Qualifications

• Bachelor's or master's degree in Petroleum or Reservoir Engineering is required.
• 5+ years of relevant experience in reservoir engineering or related fields.
• Experience with production forecasting and integrated asset modelling.
• Experience integrating reservoir and surface production system workflows.
• Scripting knowledge (Python, VBA, or similar) is a plus, and data validation skills are essential.

Responsibilities

• Own and support the integration of reservoir engineering workflows within GHG Emissions with seamless data exchange between INTERSECT/GAP and the digital platform.
• Validate, test, and troubleshoot automated workflows and export processes for accurate data transfer across engineering applications.
• Conduct reservoir engineering analyses and sensitivity studies to support forecasting and field development evaluations.
• Ensure data quality by validating inputs, workflow outputs, and integration results used by reservoir and production engineers.
• Gather business needs and translate requirements into digital solution enhancements for better user efficiency.

Skills

Petroleum/Reservoir Eng

Workflow automation

Data validation & QC

Python scripting

Education

Bachelor's or Master’s in Petroleum or Reservoir Eng

Tools

INTERSECT (IX)

GAP

Integrated production modelling

Job description

Key Responsibilities:

• 1.Own and support the integration of reservoir engineering workflows within GHG Emissions, ensuring seamless data exchange between reservoir simulation tools (INTERSECT/GAP) and the digital platform.
• 2.Validate, test, and troubleshoot automated workflows and export processes to guarantee accurate, reliable, and efficient transfer of technical data across engineering applications.
• 3.Conduct reservoir engineering analyses and sensitivity studies, supporting production forecasting, field development evaluations, and operational decision-making.
• 4.Ensure data quality and consistency by validating engineering inputs, workflow outputs, and integration results used by reservoir and production engineers.
• 5.Gather business needs and define functional improvements, translating reservoir engineering requirements into digital solution enhancements that improve user efficiency and workflow performance.
• 6.Provide technical and functional support to affiliates and end users, helping engineering teams adopt and effectively utilize GHG emissions capabilities.
• 7.Collaborate with multidisciplinary teams and HQ stakeholders to develop, test, and deploy new functionalities, integrations, and workflow enhancements.
• 8.Drive continuous improvement of integrated reservoir-to-surface workflows, promoting best practices in automation, data management, and digital reservoir engineering.
• 9.Act as a bridge between reservoir engineering and digital product development, ensuring engineering requirements are effectively translated into practical and scalable digital solutions.

Work Experience

Success Criteria

1. Reliable integration and data transfer processes
2. Timely delivery of functional enhancements
3. Effective affiliate support and issue resolution
4. Improved adoption and efficiency of reservoir engineering workflows

Benefits

Required Skills & Experience:

• 1.Bachelors or master’s degree in Petroleum or Reservoir Engineering with 5+ Years experience.
• 2.Strong experience in INTERSECT (IX), GAP and Integrated production modeling workflows.
• 3.Knowledge of production forecasting and integrated asset modelling.
• 4.Experience in integrating reservoir and surface production system workflows.
• 5.Workflow automation concepts and Data validation and quality control
• 6.Scripting knowledge (Python, VBA, or similar) is an advantage
• 7.Understanding of databases and data integration processes